31% expect AI to provide expert advice, replacing visits to specialists. 41% fear that overdependence on AI will reduce creative or critical thinking skills.
Artificial intelligence (AI) has the potential to transform education by automating repetitive tasks, personalizing learning for each student, and giving all students equal access to education. AI can grade assignments faster than humans, freeing up teachers to focus on individualized instruction. It can also adapt lessons to different learning styles and provide feedback to students. While some argue AI may reduce human interaction, others believe AI will improve student engagement and reduce stress by tailoring education to individual needs and allowing students to learn anywhere at any time. The future of education with AI integration aims to make learning more accessible and beneficial for all students.
A Strategic Approach: GenAI in EducationPeter Windle
Ā
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Stephen Abram presented on how libraries must change strategies to prepare for the future. He discussed how users, learning, mobility, and government have all changed significantly with technology advances. Abram argued that libraries need to focus on discovery, ideas, and being emboldened to create the future, rather than feeling like victims of change. He suggested strategies like knowledge portals, focusing on learning outcomes, and understanding new formats like e-books and streaming media. Abram concluded by urging libraries to attempt ambitious new strategies without fear of failure.
Stephen Abram presented on how libraries must change strategies to prepare for the future. He discussed how users, learning, mobility, and government have all changed significantly with technology advances. Abram argued that libraries need to focus on discovery, ideas, and being emboldened to create the future, rather than feeling like victims of change. He suggested strategies like knowledge portals, focusing on learning outcomes, and understanding new formats like e-books and streaming media. Abram concluded by urging libraries to attempt ambitious new strategies without fear of failure.
The document discusses trends in digital libraries and information access. It notes the fragmentation of content across different formats, devices, and platforms. This includes issues around ebooks, multimedia content, proprietary systems, and user demographics. The document provides recommendations to focus on users, experiment with mobile and social learning, and lobby for open access. It emphasizes an evolutionary approach and measuring impact over statistics. Libraries are encouraged to get to where users are through tools like elearning and mobility.
Artificial Intelligence AI in Libraries Training for Innovation WebinarSaid Ali Said
Ā
Objectives The objectives of the webinar are to:
ā¢ introduce AI in libraries
ā¢ describe the IDEA Institute on AI and its contribution to providing professional, innovative training in AI to library and other information professionals
ā¢ understand challenges and opportunities in implementing AI in libraries based on real-world experiences of the first cohort of Institute Fellows
ā¢ consider equity, diversity, inclusion and accessibility issues, and ethical questions, in AI implementation.
Speakers
Prof. Dr. Dania Bilal
Professor, School of Information Sciences at the University of Tennessee in Knoxville, TN.
Researcher, scholar and educator in Human Information Behavior, HumanāComputer Interaction (HCI), User Experience and Design (UXD), HumanāAI Interaction, and Information Science Theory.
Research focus is on user information interaction and behavior (children, teenagers and adults) with information systems, products and interfaces; and on user-centered design for better user engagement and experiences.
Principal Investigator and co-developer, IDEA Institute on Artificial Intelligence.
Clara M. Chu
Director and Mortenson Distinguished Professor, Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign, IL.
ā¢ Expert in developing appropriate and strategic solutions to deliver equitable and relevant library services in culturally diverse and dynamic libraries.
ā¢ Studies the information needs of culturally diverse communities in a globalized and technological society.
ā¢ Co-developer, IDEA Institute on Artificial Intelligence.
Target Audience
ā¢ Staff in any type of library and information center or information environment.
ā¢ Library and information science students, educators and researchers.
Objectives The objectives of the webinar are to:
ā¢ introduce AI in libraries
ā¢ describe the IDEA Institute on AI and its contribution to providing professional, innovative training in AI to library and other information professionals
ā¢ understand challenges and opportunities in implementing AI in libraries based on real-world experiences of the first cohort of Institute Fellows
ā¢ consider equity, diversity, inclusion and accessibility issues, and ethical questions, in AI implementation.
Speakers
Prof. Dr. Dania Bilal
Professor, School of Information Sciences at the University of Tennessee in Knoxville, TN.
Researcher, scholar and educator in Human Information Behavior, HumanāComputer Interaction (HCI), User Experience and Design (UXD), HumanāAI Interaction, and Information Science Theory.
Research focus is on user information interaction and behavior (children, teenagers and adults) with information systems, products and interfaces; and on user-centered design for better user engagement and experiences.
Principal Investigator and co-developer, IDEA Institute on Artificial Intelligence.
Clara M. Chu
Director and Mortenson Distinguished Professor, Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign, IL.
ā¢ Expert in developing appropriate and strategic solutions to deliver equitable and relevant library services in culturally diverse and dynamic libraries.
ā¢ Studies the information needs of culturally diverse communities in a globalized and technological society.
ā¢ Co-developer, IDEA Institute on Artificial Intelligence.
Artificial intelligence (AI) has the potential to transform education by automating repetitive tasks, personalizing learning for each student, and giving all students equal access to education. AI can grade assignments faster than humans, freeing up teachers to focus on individualized instruction. It can also adapt lessons to different learning styles and provide feedback to students. While some argue AI may reduce human interaction, others believe AI will improve student engagement and reduce stress by tailoring education to individual needs and allowing students to learn anywhere at any time. The future of education with AI integration aims to make learning more accessible and beneficial for all students.
A Strategic Approach: GenAI in EducationPeter Windle
Ā
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Stephen Abram presented on how libraries must change strategies to prepare for the future. He discussed how users, learning, mobility, and government have all changed significantly with technology advances. Abram argued that libraries need to focus on discovery, ideas, and being emboldened to create the future, rather than feeling like victims of change. He suggested strategies like knowledge portals, focusing on learning outcomes, and understanding new formats like e-books and streaming media. Abram concluded by urging libraries to attempt ambitious new strategies without fear of failure.
Stephen Abram presented on how libraries must change strategies to prepare for the future. He discussed how users, learning, mobility, and government have all changed significantly with technology advances. Abram argued that libraries need to focus on discovery, ideas, and being emboldened to create the future, rather than feeling like victims of change. He suggested strategies like knowledge portals, focusing on learning outcomes, and understanding new formats like e-books and streaming media. Abram concluded by urging libraries to attempt ambitious new strategies without fear of failure.
The document discusses trends in digital libraries and information access. It notes the fragmentation of content across different formats, devices, and platforms. This includes issues around ebooks, multimedia content, proprietary systems, and user demographics. The document provides recommendations to focus on users, experiment with mobile and social learning, and lobby for open access. It emphasizes an evolutionary approach and measuring impact over statistics. Libraries are encouraged to get to where users are through tools like elearning and mobility.
Artificial Intelligence AI in Libraries Training for Innovation WebinarSaid Ali Said
Ā
Objectives The objectives of the webinar are to:
ā¢ introduce AI in libraries
ā¢ describe the IDEA Institute on AI and its contribution to providing professional, innovative training in AI to library and other information professionals
ā¢ understand challenges and opportunities in implementing AI in libraries based on real-world experiences of the first cohort of Institute Fellows
ā¢ consider equity, diversity, inclusion and accessibility issues, and ethical questions, in AI implementation.
Speakers
Prof. Dr. Dania Bilal
Professor, School of Information Sciences at the University of Tennessee in Knoxville, TN.
Researcher, scholar and educator in Human Information Behavior, HumanāComputer Interaction (HCI), User Experience and Design (UXD), HumanāAI Interaction, and Information Science Theory.
Research focus is on user information interaction and behavior (children, teenagers and adults) with information systems, products and interfaces; and on user-centered design for better user engagement and experiences.
Principal Investigator and co-developer, IDEA Institute on Artificial Intelligence.
Clara M. Chu
Director and Mortenson Distinguished Professor, Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign, IL.
ā¢ Expert in developing appropriate and strategic solutions to deliver equitable and relevant library services in culturally diverse and dynamic libraries.
ā¢ Studies the information needs of culturally diverse communities in a globalized and technological society.
ā¢ Co-developer, IDEA Institute on Artificial Intelligence.
Target Audience
ā¢ Staff in any type of library and information center or information environment.
ā¢ Library and information science students, educators and researchers.
Objectives The objectives of the webinar are to:
ā¢ introduce AI in libraries
ā¢ describe the IDEA Institute on AI and its contribution to providing professional, innovative training in AI to library and other information professionals
ā¢ understand challenges and opportunities in implementing AI in libraries based on real-world experiences of the first cohort of Institute Fellows
ā¢ consider equity, diversity, inclusion and accessibility issues, and ethical questions, in AI implementation.
Speakers
Prof. Dr. Dania Bilal
Professor, School of Information Sciences at the University of Tennessee in Knoxville, TN.
Researcher, scholar and educator in Human Information Behavior, HumanāComputer Interaction (HCI), User Experience and Design (UXD), HumanāAI Interaction, and Information Science Theory.
Research focus is on user information interaction and behavior (children, teenagers and adults) with information systems, products and interfaces; and on user-centered design for better user engagement and experiences.
Principal Investigator and co-developer, IDEA Institute on Artificial Intelligence.
Clara M. Chu
Director and Mortenson Distinguished Professor, Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign, IL.
ā¢ Expert in developing appropriate and strategic solutions to deliver equitable and relevant library services in culturally diverse and dynamic libraries.
ā¢ Studies the information needs of culturally diverse communities in a globalized and technological society.
ā¢ Co-developer, IDEA Institute on Artificial Intelligence.
This document discusses using artificial intelligence (AI) to replace social media in secondary schools' educational systems. It argues that AI-powered learning platforms can provide personalized learning tailored to students' individual needs and interests. The document reviews empirical evidence that AI platforms improve student outcomes in math and science. Challenges include cost and students resisting change from social media. Potential benefits include personalized learning, increased engagement, reduced distractions, and improved safety. Examples given are AI tutors, learning games, and social media platforms designed for education.
Ethical AI summit Dec 2023 notes from HB keynoteHelen Beetham
Ā
Somewhat extended and tidied up text of HB keynote at the ALT winter summit on AI and Ethics, December 2023. Slides draft quality for navigation only - a better quality set of slides is also available.
Embracing GenAI - A Strategic ImperativePeter Windle
Ā
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Artificial Intelligence in Education|Evolve Machine LearnersMian Ashar
Ā
This document discusses how artificial intelligence can help address issues in global education. It notes that millions of children are not learning basic skills despite years of schooling. AI has the potential to help teachers meet the diverse needs of all students by personalizing instruction. Intelligent tutoring systems already use data to provide feedback and work directly with students. AI systems can easily adapt to individual student needs and target instruction based on strengths and weaknesses. The document also discusses how AI can help improve courses by identifying gaps in materials that confuse students. Overall, AI offers a way to make trial and error learning less intimidating for students through judgment-free experimentation with intelligent tutors providing solutions for improvement.
Education and the Use of Artificial IntelligenceIJEACS
Ā
This paper explains how Artificial Intelligence (AI) can and is being applied in the educational sector. Artificial Intelligence in the educational sector is one of the currently expanding disciplines in educational technology, according to the 21st International Conference on Artificial Intelligence in Education, held in 2020. Educators are still unsure how to apply AI for pedagogical purposes on a larger scale, or how AI will affect teaching and learning in higher education. The impact of AI in education, as well as its benefits and drawbacks, are discussed. It also explains how to construct an AI-enabled platform for education, as well as the consequences of AI in education.
Discover the transformative power of AI in education with personalized learning, adaptive platforms, and streamlined administration. From intelligent tutoring systems to early intervention for at-risk students, AI fosters inclusivity and enhances collaboration. Embrace data-driven decision-making and create lifelong learning opportunities, ensuring a dynamic and efficient educational ecosystem for the future.
The document provides instructions for using slides that introduce generative AI and its use in assessments. The slides are designed as a 1-hour lecture that can be delivered live or circulated asynchronously. Staff should delete instruction slides before using the presentation with students. The AI and You teaching toolkit provides further guidance.
artificial intelligence - in need of an ethical layer?Inge de Waard
Ā
This document discusses the need for an ethical framework for artificial intelligence (AI) used in education. It notes that algorithms and AI systems are developed by humans and can reflect their biases, potentially limiting opportunities for some groups. It suggests establishing an ethics commission or requiring ethics reviews of AI systems to ensure they promote values like diversity, inclusion, and student well-being rather than just replicating existing social norms. The document also questions whether establishing ethical guidelines is even possible given that AI systems are complex and outcomes are hard to predict. It asks readers to consider what an ethical approach to AI in education might include.
A follow up on the event, What's Next wherein principals, counselors and influencers from the education industry contributed on creating a blueprint for education for tomorrow
Artificial intelligence has the potential to significantly impact education in the future. Some ways AI may change education include:
1. AI can automate basic tasks like grading to allow teachers more time for other activities.
2. Educational software can be adapted to individual student needs through personalized and adaptive learning programs.
3. AI systems can identify gaps in course materials and provide immediate feedback to help students.
4. While not replacing teachers, AI may take on roles like tutoring and providing expertise to supplement instruction.
This document summarizes a presentation by Stephen Abram on the future of academic libraries. It discusses how libraries must change strategies to adapt to technological changes. Key points include: libraries are no longer the heart of campus; physical access has evolved to intellectual access; the focus has shifted from collections to knowledge portals and content access; and librarians must help develop critical connections between information, knowledge, and learning. Abram argues libraries need new strategies focused on communities, partnerships, literacy programs, and using analytics to understand users in order to remain relevant in the 21st century.
This document summarizes Stephen Abram's presentation on how academic libraries need to change strategies to remain relevant in the 21st century. He discusses how the internet, technology, student needs and research have changed, requiring libraries to shift from 20th century focus on collections and buildings to 21st century focus on content access, communities, partnerships, and information literacy. Abram advocates that libraries play a vital role in connecting information, knowledge and learning, and must adapt services like reference from physical to virtual, personalized and mobile. The future of libraries depends on understanding users and ensuring discovery, learning and research continue to happen through the library.
The document discusses the impacts of artificial intelligence (AI) on grade 11 ABM-A students' academic exploration. It begins by providing background on the increasing role of AI in education. The study aims to determine the effects of AI on academic performance and explore its positive and negative impacts. The conceptual framework shows AI as the independent variable and students' academic exploration as the dependent variable. Connectivism and adaptive learning theories are discussed as part of the theoretical framework to understand how AI shapes knowledge gathering and learning pathways. Definitions of key terms are also provided.
This document discusses several global ethics issues in higher education. It addresses challenges related to digital ethics with the rise of technologies like artificial intelligence. It also discusses how higher education institutions can promote academic integrity on a global scale. Additionally, it examines ethical considerations around recruiting and supporting international students, such as potential exploitation. Finally, it outlines the four pillars of medical ethics and how they are implemented globally in higher education.
The document discusses how libraries and education must change strategies to adapt to 21st century needs. It notes the shift from physical collections and buildings to digital content access and online communities. Transliteracy skills are emphasized over basic reading. Mobility and ubiquitous broadband access are changing user expectations and behaviors. Ebooks and e-readers are discussed as part of the transition from printed books. Strategic use of analytics and understanding user experiences are presented as ways to improve virtual library services and ensure learning and discovery are occurring for users. An emphasis is placed on partnerships and embracing change rather than relying on past strategies.
Critical Pedagogy, Civil Disobedience, and EdtechJesse Stommel
Ā
The majority of development in edtech is driven by the bureaucratic traditions of education more than the pedagogical ones.
If we object to the increasing standardization of education, how and where do we build sites of resistance? What strategies can we employ to guard ourselves and our students? What systems of privilege must we first dismantle?
This document discusses shifts in academia and opportunities for libraries to innovate. It notes that the library is no longer central on campus and that formats like ebooks are growing. It advocates that libraries focus on becoming knowledge portals, emphasize quality content over formats, expand information literacy programs, and invest in strategic analytics to measure impact. Libraries should focus on being lesson-centric and on the questions of how library resources compare to other options and how users find and use virtual services. Emboldened librarians can help guide this path forward.
Artificial Intelligence (AI) in Education.pdfThiyagu K
Ā
Artificial intelligence (AI) is rapidly transforming the education industry. AI-powered tools and applications are being used to personalize learning, provide real-time feedback, and automate tasks, freeing up teachers to focus on more creative and strategic work. This presentation explores the many ways that AI is being used in education today, and how it is poised to revolutionize the way we learn and teach.
This presentation is intended for anyone interested in learning more about the role of AI in education. The target audience includes educators, students, parents, policymakers, and anyone else who is curious about how AI is changing the way we learn.
The document discusses the various types of artificial intelligence that are being used to transform education, including machine learning, natural language processing, computer vision, personalized learning, adaptive learning, virtual assistants, chatbots, gamification, data analytics, predictive analytics, smart content, and intelligent tutoring systems. It provides examples of how each type of AI can enhance teaching and provide personalized education experiences tailored to individual students' needs.
_How AI is Transforming the Educational Technology Industry.pdfTechuz
Ā
Artificial Intelligence (AI) is revolutionizing the educational technology industry, creating dynamic, personalized learning experiences. At the forefront of this transformation, Techuz leverages AI to develop innovative web development solutions tailored for educational platforms. These AI-driven tools enable adaptive learning, real-time feedback, and data-driven insights, enhancing both teaching and learning processes. With AI, educational institutions can offer customized curricula, automate administrative tasks, and foster engaging, interactive environments for students. As AI continues to evolve, Techuz remains committed to integrating cutting-edge web development practices to shape the future of education, making learning more accessible and effective for everyone.
TAM AdEx-Quarterly Report on Television Advertising_2024.pdfSocial Samosa
Ā
According to the report, there was a 4% decrease in television advertising volumes compared to the same period in 2023, indicating shifts in advertising strategies or market dynamics.
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Similar to Generation AI report by Cheil India__.pdf
This document discusses using artificial intelligence (AI) to replace social media in secondary schools' educational systems. It argues that AI-powered learning platforms can provide personalized learning tailored to students' individual needs and interests. The document reviews empirical evidence that AI platforms improve student outcomes in math and science. Challenges include cost and students resisting change from social media. Potential benefits include personalized learning, increased engagement, reduced distractions, and improved safety. Examples given are AI tutors, learning games, and social media platforms designed for education.
Ethical AI summit Dec 2023 notes from HB keynoteHelen Beetham
Ā
Somewhat extended and tidied up text of HB keynote at the ALT winter summit on AI and Ethics, December 2023. Slides draft quality for navigation only - a better quality set of slides is also available.
Embracing GenAI - A Strategic ImperativePeter Windle
Ā
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Artificial Intelligence in Education|Evolve Machine LearnersMian Ashar
Ā
This document discusses how artificial intelligence can help address issues in global education. It notes that millions of children are not learning basic skills despite years of schooling. AI has the potential to help teachers meet the diverse needs of all students by personalizing instruction. Intelligent tutoring systems already use data to provide feedback and work directly with students. AI systems can easily adapt to individual student needs and target instruction based on strengths and weaknesses. The document also discusses how AI can help improve courses by identifying gaps in materials that confuse students. Overall, AI offers a way to make trial and error learning less intimidating for students through judgment-free experimentation with intelligent tutors providing solutions for improvement.
Education and the Use of Artificial IntelligenceIJEACS
Ā
This paper explains how Artificial Intelligence (AI) can and is being applied in the educational sector. Artificial Intelligence in the educational sector is one of the currently expanding disciplines in educational technology, according to the 21st International Conference on Artificial Intelligence in Education, held in 2020. Educators are still unsure how to apply AI for pedagogical purposes on a larger scale, or how AI will affect teaching and learning in higher education. The impact of AI in education, as well as its benefits and drawbacks, are discussed. It also explains how to construct an AI-enabled platform for education, as well as the consequences of AI in education.
Discover the transformative power of AI in education with personalized learning, adaptive platforms, and streamlined administration. From intelligent tutoring systems to early intervention for at-risk students, AI fosters inclusivity and enhances collaboration. Embrace data-driven decision-making and create lifelong learning opportunities, ensuring a dynamic and efficient educational ecosystem for the future.
The document provides instructions for using slides that introduce generative AI and its use in assessments. The slides are designed as a 1-hour lecture that can be delivered live or circulated asynchronously. Staff should delete instruction slides before using the presentation with students. The AI and You teaching toolkit provides further guidance.
artificial intelligence - in need of an ethical layer?Inge de Waard
Ā
This document discusses the need for an ethical framework for artificial intelligence (AI) used in education. It notes that algorithms and AI systems are developed by humans and can reflect their biases, potentially limiting opportunities for some groups. It suggests establishing an ethics commission or requiring ethics reviews of AI systems to ensure they promote values like diversity, inclusion, and student well-being rather than just replicating existing social norms. The document also questions whether establishing ethical guidelines is even possible given that AI systems are complex and outcomes are hard to predict. It asks readers to consider what an ethical approach to AI in education might include.
A follow up on the event, What's Next wherein principals, counselors and influencers from the education industry contributed on creating a blueprint for education for tomorrow
Artificial intelligence has the potential to significantly impact education in the future. Some ways AI may change education include:
1. AI can automate basic tasks like grading to allow teachers more time for other activities.
2. Educational software can be adapted to individual student needs through personalized and adaptive learning programs.
3. AI systems can identify gaps in course materials and provide immediate feedback to help students.
4. While not replacing teachers, AI may take on roles like tutoring and providing expertise to supplement instruction.
This document summarizes a presentation by Stephen Abram on the future of academic libraries. It discusses how libraries must change strategies to adapt to technological changes. Key points include: libraries are no longer the heart of campus; physical access has evolved to intellectual access; the focus has shifted from collections to knowledge portals and content access; and librarians must help develop critical connections between information, knowledge, and learning. Abram argues libraries need new strategies focused on communities, partnerships, literacy programs, and using analytics to understand users in order to remain relevant in the 21st century.
This document summarizes Stephen Abram's presentation on how academic libraries need to change strategies to remain relevant in the 21st century. He discusses how the internet, technology, student needs and research have changed, requiring libraries to shift from 20th century focus on collections and buildings to 21st century focus on content access, communities, partnerships, and information literacy. Abram advocates that libraries play a vital role in connecting information, knowledge and learning, and must adapt services like reference from physical to virtual, personalized and mobile. The future of libraries depends on understanding users and ensuring discovery, learning and research continue to happen through the library.
The document discusses the impacts of artificial intelligence (AI) on grade 11 ABM-A students' academic exploration. It begins by providing background on the increasing role of AI in education. The study aims to determine the effects of AI on academic performance and explore its positive and negative impacts. The conceptual framework shows AI as the independent variable and students' academic exploration as the dependent variable. Connectivism and adaptive learning theories are discussed as part of the theoretical framework to understand how AI shapes knowledge gathering and learning pathways. Definitions of key terms are also provided.
This document discusses several global ethics issues in higher education. It addresses challenges related to digital ethics with the rise of technologies like artificial intelligence. It also discusses how higher education institutions can promote academic integrity on a global scale. Additionally, it examines ethical considerations around recruiting and supporting international students, such as potential exploitation. Finally, it outlines the four pillars of medical ethics and how they are implemented globally in higher education.
The document discusses how libraries and education must change strategies to adapt to 21st century needs. It notes the shift from physical collections and buildings to digital content access and online communities. Transliteracy skills are emphasized over basic reading. Mobility and ubiquitous broadband access are changing user expectations and behaviors. Ebooks and e-readers are discussed as part of the transition from printed books. Strategic use of analytics and understanding user experiences are presented as ways to improve virtual library services and ensure learning and discovery are occurring for users. An emphasis is placed on partnerships and embracing change rather than relying on past strategies.
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Ā
The majority of development in edtech is driven by the bureaucratic traditions of education more than the pedagogical ones.
If we object to the increasing standardization of education, how and where do we build sites of resistance? What strategies can we employ to guard ourselves and our students? What systems of privilege must we first dismantle?
This document discusses shifts in academia and opportunities for libraries to innovate. It notes that the library is no longer central on campus and that formats like ebooks are growing. It advocates that libraries focus on becoming knowledge portals, emphasize quality content over formats, expand information literacy programs, and invest in strategic analytics to measure impact. Libraries should focus on being lesson-centric and on the questions of how library resources compare to other options and how users find and use virtual services. Emboldened librarians can help guide this path forward.
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Artificial intelligence (AI) is rapidly transforming the education industry. AI-powered tools and applications are being used to personalize learning, provide real-time feedback, and automate tasks, freeing up teachers to focus on more creative and strategic work. This presentation explores the many ways that AI is being used in education today, and how it is poised to revolutionize the way we learn and teach.
This presentation is intended for anyone interested in learning more about the role of AI in education. The target audience includes educators, students, parents, policymakers, and anyone else who is curious about how AI is changing the way we learn.
The document discusses the various types of artificial intelligence that are being used to transform education, including machine learning, natural language processing, computer vision, personalized learning, adaptive learning, virtual assistants, chatbots, gamification, data analytics, predictive analytics, smart content, and intelligent tutoring systems. It provides examples of how each type of AI can enhance teaching and provide personalized education experiences tailored to individual students' needs.
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Artificial Intelligence (AI) is revolutionizing the educational technology industry, creating dynamic, personalized learning experiences. At the forefront of this transformation, Techuz leverages AI to develop innovative web development solutions tailored for educational platforms. These AI-driven tools enable adaptive learning, real-time feedback, and data-driven insights, enhancing both teaching and learning processes. With AI, educational institutions can offer customized curricula, automate administrative tasks, and foster engaging, interactive environments for students. As AI continues to evolve, Techuz remains committed to integrating cutting-edge web development practices to shape the future of education, making learning more accessible and effective for everyone.
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2. While AI is being regarded as the most transformative
technology in years, most of its uses are not that
evolutionary, are they?
We are using it for assignments, asking about what food to
cook, what clothes to wear, seeking advice on things we are
not good at. As it happens with every other tech, AI today is
getting humanized. The more people are subjecting it to
their quirks and eccentricities, the better it is getting at
mimicking human consciousness.
AI, a new ādigital speciesā as some experts are calling it, is
interpreting and creating āmeaningā, something that was
exclusively a human trait. However, beyond generating
images, texts and code, there is something far more
interesting happening. We can call it a āhuman-machine
symbiosisā or a parasocial relationship thatās forming
between AI and its users. People who were cynics at ļ¬rst are
now considering AI to be a companion, a colleague, a
mentor or a friend even, that can reach emotional and
psychological depths which other people in their lives
cannot.
While it might sound like the prelude to a Black Mirror
episode or some might even discard it as ātoo early to be
taken seriouslyā, we delved deeper into the degree of
involvement that our consumers are starting to form with
AI. This report is aimed at understanding the most
tech-savvy generation, Gen Zās evolving relationship with AI
in all spheres of their lives.
Hope this makes for an interesting read.
āWhat should I write
in my apology letter to
the Principal?ā
āPaint a neon cat soaking the
sun on a Caribbean beach,
Wes Andersen style.ā
Based on quantitative research across 1190 students (16-25) & qualitative in-depth interviews (22), pan-India
What places should
I cover in a three days
trip to Vietnam?
3. From skeptics to
super-users:
AI usage amongst
students is
growing and how
Schools, hype and
envy ā the
trifecta for wider
AI adoption
Cogito ergo sum?
Is AI reducing
independent
thinking?
68%of overall students
feel their perception of AI has
become more positive in the last
one year
56% of Academic users
use it daily
70% of students
are either currently pursuing or
planning to pursue AI related
courses along with their primary
stream of education
36%of students say that
recomendation from
School/Teachers and the inļ¬uence
of hype/news around AI
are the top reasons for starting to
use AI for Academic purposes
35%mentioned that seeing
others using AI to improve
Academic performance
will be the leading reason for
current non-users to start utilizing
AI for Academics
41%think
overdependence on AI
will reduce levels of creative or
critical thinking
56% agree with
the statement that āusing AI in
academics is a form of cheatingā
40% ļ¬nd AI
generated answers
to be too generic or superļ¬cial
overdependence on AI
will reduce levels of creative or
agree with
the statement that āusing AI in
academics is a form of cheatingā
ļ¬nd AI
generated answers
to be too generic or superļ¬cial
4. While 6 are being used for
Personal needs
79%
79%
of youth are accepting AI for
Academia
are choosing it for
personal uses
28%
28%
seek efļ¬ciency (automate
menial tasks)
27%
27%
look for productivity
(do more work)
57%
are choosing it for
personal uses
57%
seeking communication
(connecting with people from
other cultures)
26%
26%
asking for an assistant (to be at
their beck and call to help with
anything, everything)
27%
27%
for companionship (a friend
they can talk to without fear of
judgement)
20%
20%
20%
On an average 7 AI tools are being
used for Academic purposes
7. The 6 ways in which AI is liberating
students in matters of Academia:
Troubleshooter Automator
Instructor Navigator
Explorer Mentor
The 5 ways in which AI enables new
conquests in their Personal lives:
Genie Savant
Co-creator
Buddy
Wingman
8. Firstly, AI is breaking the mold of
academic uniformity where every
student is expected to play by the same
rules irrespective of their mental capacity
or academic interests. No longer must
they conform to the ability of their peers
or endure the judgmental gaze of
teachers. Unfettered by human errs like
ego or irritability, AI is that tireless tutor
who is never weary of silly questions or
repeating lessons, always understanding,
and never judging.
AI as the Liberator on
the Academic front
Schools and Universities have been bastions
of convention - monolithic structures of
routines, schedules and steadfast curricula.
With the advent of AI, however, a new epoch
in learning is ushering in. The old ways ā rigid
faculty, standardized exams, and by-the-book
instructions ā are giving way to a more ļ¬uid,
adaptive, and student-centric learning
approach. AI platforms and AI-enabled
education tools are being used to liberate
students from the shackles of one-size-ļ¬ts-all
pedagogy, allowing them to navigate a
bespoke learning landscape.
9. Moreover, AI tools adapt to the unique rhythm of
each student, counsel with inļ¬nite patience, give
out individualized advice on coursework, exams
and more.
At the same time it is analyzing data on the
studentsā performance and giving tailored support
to improve their grades, offering constant
feedback, automating easy and repetitive tasks,
and providing learning experiences that adapt to
each student's need, not the other way around.
Secondly, AI is crafting schedules and timetables
tuned to each student's unique learning rhythm,
allowing them to process information at their own
pace, ensuring that knowledge is absorbed, not
imposed.
Thirdly, as a career counselor AI can expose
students to a vast array of unorthodox disciplines
that may be a unique ļ¬t for their talents and
passions. The technology analyzes each pupilās
strengths, interests, and aims to chart possibilities
beyond traditional occupational silos that
education institutions usually push for.
Other than these use cases, AI is also being the
examiner or re-writer, the inspirer of new ideas,
the partner in entrepreneurial ventures, and many
other such roles that are emerging with each
passing day. In this exciting new āAI world orderā
each student can be the architect of their own
academic journey.
Letās explore in detail the different relationships in
a spectrum and the diverse usage scenarios for
each.
10. Youth-AI relationship spectrum from an Academic lens
Depending on the level of involvement with AI tools, we noticed discrete segments within students (16-25). We have
taken the number of tools used daily and the frequency as surrogates to arrive at Involvement levels. While people with
comparatively low Involvement are using AI to clear everyday doubts and get quick ļ¬xes, at higher levels of Involvement
students expect AI to give larger career and life directions.
Number
of
tools
used
Frequency of usage
Unaware
(3.5%)
Doubter
(1.5%)
Automator
(15%)
Troubleshooter
(33%)
Explorer
(8%)
Mentor
(8%)
Navigator
(14%)
Instructor
(20%)
11. Troubleshooter
*Note: Absolute numbers in () represent index vs. general population surveyed
Quick-ļ¬xes happen to be the most popular use
case (34%). The users seeking AI to get quick
solutions for Academic problems are 54% male and
heavily skewed towards younger students - school
(196) & UG (117).
Majority study Arts, Humanities and Law (240) and
reside primarily in Tier 1 (110) and Tier 2 (108) cities.
Liberation from: Grunt work
From āhow to... ā to āgive me a...ā
AI to the rescue for
urgent tasks and errands
Gone are the days of tedious Google Searches and
looking for āhow toā tips, tricks and videos to learn a
new skill. At this moment the youth are resorting to a
much faster, convenient shortcut of getting LLMs to
do their grunt work or fulļ¬lling small tasks with great
efļ¬ciency in lesser time. This is a low-involvement
relationship, that mostly happens as one-off
interactions for problem-solution.
12. āBuilding mock data for database queries is a
pain ā coming up with fake entries for hundred
of ļ¬elds, itās just tiring. Now I just ask AI to
create mock data for me which saves up more
time so that I can focus on actual learning.ā
āThe syllabus is vast and so are the number
of assignments. Itās very difļ¬cult to meet
deadline, you have to take help of AI to
frame PPTās or to build a case study or even
to generate supported images for product
conceptualization.ā
Business student,
Age 22, Male
Humanities student,
Age 21, Female
Proofreading
Emails & CV writing
Reverse image searching
Mathematical problems
Writing emails and replies
Outlines of assignments
(like essays)
Generate mock data
Documents like SOPs
USAGE SCENARIOS
Troubleshooter
13. *Note: Absolute numbers in () represent index vs. general population surveyed
Nearly 16% of Academic AI users are automating
their school/College assignments like doing the
homework entirely using LLMs or getting Thesis
papers written by AI.
They are primarily College and University Students
(105) residing in Tier 1 (112) cities and studying Arts,
Humanities and Law (238).
Liberation from: Academic chores
Students are ļ¬nding freedom from tedious
school assignments that used to consume all
their time by outsourcing the tasks to LLMs.
Whether this will enable them to follow the
careers pursuits that their hearts desire, or
whether it will create a hole in the education
system, is yet unknown. But it is certainly
going to bring about a transformation in how
learning happens.
Unshackling from the pressures
of school assignments
More time for
passion projects
Automator
14. USAGE SCENARIOS
Research paper writing
Lecture structure
Data Analysis
Making presentations for
studies and work
Making summaries
Write internship reports
āCompleting our assignments means reading
lengthy research papers, which takes huge
amount of time. So now what we do is we
copy-paste the paper in GPT and ask it to give
us the summary of it. This has freed up so
much time, like seriously, it's like having extra
hours in the day.ā
āItās quite challenging for me to juggle
both college and my passion projects and
to keep a balance. I completely rely on
ChatGPT, Perplexity, Gamma AI etc. to
complete my assignments faster.ā
Business student,
Age 23, Male
Humanities student
Age 21, Female
Automator
15. Instructor
āTeacher, leave
them kids alone...ā
One of the greatest advantages of AI in the
lives of the Indian youth is self-paced,
highly-customized learning. They have
found a new kind of teacher in LLMs who
donāt get irritated for asking a āstupid
questionā or donāt lose patience if a pupil
takes longer than others to catch up.
The students are using AI to get feedback
on their assignments, research topics that
are quite unfamiliar, summarize
complicated documents, books and
chapters. This is the advent of the truly
āprivateā tutor.
77% of those surveyed agree with the statement
that āAI will revolutionize learning, as it enables
students to learn at their own pace.ā
Currently 20% of Academic users are using AI as
Instructor. They reside primarily in urban areas -
48% metro and mini-metro, 32% Tier 1. Most are
studying professional courses in Colleges &
Universities (107) and are from more afļ¬uent
households with MHI 3-5 Lacs INR (116).
Liberation from: Cookie-cutter learning
*Note: Absolute numbers in () represent index vs. general population surveyed
16. āIf people with jobs and careers can live at their own pace
why should my school curriculum be the same for
everyone? Why canāt I learn at my own time?ā
āI am quite shy in nature and often donāt interact much.
My private tutor and friends often used to make fun of
me for asking questions that seemed to silly to them, so I
started asking AI which is much easier to work withā
Business student,
Age 22, Male
Humanities student
Age 21, Female
USAGE SCENARIOS
References for the
content/thesis written
Research for studies
Interpretation of
research papers
Etymology of complex words
(like 'otolaryngologist')
To summarize books
Create mind maps
Preparing for competitive exams
Interview preparation
Feedback on assignments
Instructor
17. Navigator
*Note: Absolute numbers in () represent index vs. general population surveyed
15% are using AI as their time-manager or
scheduler to create customized routines that
help them study faster or help them ļ¬nish
tasks on time.
These users reside in Tier 1 (118) and Tier 2 (110)
cities and are largely STEM (29%) and Business
(27%) students.
Liberation from: Time wastage
Breaking away from the
clutches of set timelines
and routines
To each their own pace. Thatās how the
new education paradigm is going to be
written. And it starts with AI tools helping
students create a schedule thatās easy for
them to follow.
While some might complete 2 academic
years in 1, some might need a little longer
to catch up in some subjects. We are
entering a time when students might
graduate when they want, disrupting the
way institution-based learning have
worked for all these years.
18. āGroup classes are quite time bound and my private tutors
follow very rigid schedules that I canāt manage to follow,
so Gemini and GPT helps me by breaking down the
lessons into shorter study schedules and thatās how I have
been studying for the last few monthsā
āI have too much to juggle in a day ā classes, tuition,
swimming, gaming, going out... It will be rather difļ¬cult
to plan my studies without the help of AIā
STEM student,
Age 19, Female
STEM student,
Age 18, Male
USAGE SCENARIOS
Timetable
Personal scheduler
Making study plan
Navigator
19. Explorer
Freedom to chart new
territories with AI as
the guide
In one of the many interviews we
conducted, a respondent mentioned
how AI is broadening her horizons
by making more knowledge
accessible to many.
As students now have the option to
explore a career in highly technical
ļ¬elds by simply prompting an LLM,
it makes the playing ļ¬eld more
competitive as well.
Some students are using it as an
alternative to a career counsellor or
a college senior and getting
ļ¬rst-hand experience of their future
offbeat pursuits.
*Note: Absolute numbers in () represent index vs. general population surveyed
Though new skill development through AI is
only at a 8% of Academic users, it is expected to
pick up soon.
These are largely metros and mini-metros
residents (45%) who are studying in UG (36%)
and professional courses (35%).
Liberation from: Limited choices
20. USAGE SCENARIOS
Learning about online trading
Data Analysis
Seeking career counselling
Coding
Upskilling
āAI has opened up so many ļ¬elds. During my internship, I
learned how to use AI with Excel, and it saved me tons of time on
repetitive tasks. Now I can focus on learning new things, and the
AI even suggests what skills might be most helpful next. Now I
can do whatever I put my mind to.ā
āRecently, I learnt algorithm-based trading on Copilot. I
keep learning and improving my coding at my own pace.
I feel it has made me more ambitious. The next thing on
my list is learning French, weāll see how it goes.ā
Business student,
Age 22, Male
Humanities student
Age 21, Female
Explorer
21. Mentor
From dependencies to
autonomy ā AI as the
new co-founder and
business model
College and University students who are
largely from STEM (31%) and Commerce (24%)
claim to have explored different business
ideas or new AI-backed career options with
the help of LLMs or AI-enabled tools.
These users are at the higher end of the
spectrum with a strong relationship with AI
tools where they are hoping to set up
companies and projects with AI as
their partner.
Nearly 6% of Academic users are trying out
different business ideas with AI as a co-founder
or co-builder. They are also looking at AI as a
direct access to a career that helps them earn
professionally.
These students are primarily from metros
(48%) and belong to more afļ¬uent households
with MHI of 10 Lacs+ INR (125).
Liberation from: Relying on others
*Note: Absolute numbers in () represent index vs. general population surveyed
22. āMe and my friend, we were thinking of starting our own
business, and at one point we ran out of ideas, so we
asked ChatGPT for it, and trust me it came up with so
many ideas, and some really good ones. And we picked
one e-commerce business, it even advised us on how to go
about it, what to do, how to do, everything.ā
Commerce student,
Age 23, Female
USAGE SCENARIOS
Business ideas & plans
Developing AI-led concepts
Mentor
23. Provocations for brands
of the respondents wish for
brands to implement
AI tutor that helps
them learn at their
own pace.
wish brands to create an AI
advisor or AI powered
voice assistant
that will be available for
a conversation anytime,
anywhere.
expect AI-powered
devices like
Tablets/Phones
that will help improve
productivity.
26% 29% 31%
As we enter an era where
learning might happen
based on studentsā own
interests at their own pace,
how will brands add value?
Will communication give
way to ācoachingā speciļ¬c
skills?
Will brands get personiļ¬ed
into ābrand copilotsā, with
the collective, historic
knowledge of the brand
while imbibing its values and
personality as well?
Will the next generation of
AI-packed technology be
different from how current
devices work? Will they
come personalized for every
user ā from āIā to āmyāphone?
24. In the realm of personal growth, Gen Z
are on a mission to chart unexplored
territories, and are embracing the power
of AI to conquer new frontiers they were
previously uncertain or afraid of.
No longer conļ¬ned by the need for
human support, the most alienated
generation in history, have found a Swiss
army knife of self-actualization in their
synthetic friend, AI. Call it a personal life
coach, a creative co-pilot, a compass, a
partner for romantic escapades, a
mental health counsellor or bosom
buddies āAI is there for it all and
upping Gen Z's gameplay across every
sphere of their lives.
From fashion dilemmas to travel
itineraries, AI is the ally, the ļ¬xer of
everyday challenges that once seemed
insurmountable. But more than mere
problem-solvers, these digital
companions are evolving into trusted
conļ¬dants, wise savants, creative
collaborators, relationship coaches and
more.
AI
as the
Conqueror
on the
Personal
side
In the realm of personal growth, Gen Z
are on a mission to chart unexplored
territories, and are embracing the power
of AI to conquer new frontiers they were
previously uncertain or afraid of.
No longer conļ¬ned by the need for
human support, the most alienated
generation in history, have found a Swiss
army knife of self-actualization in their
synthetic friend, AI. Call it a personal life
coach, a creative co-pilot, a compass, a
partner for romantic escapades, a
mental health counsellor or bosom
buddies āAI is there for it all and
upping Gen Z's gameplay across every
sphere of their lives.
From fashion dilemmas to travel
itineraries, AI is the ally, the ļ¬xer of
everyday challenges that once seemed
insurmountable. But more than mere
problem-solvers, these digital
companions are evolving into trusted
conļ¬dants, wise savants, creative
collaborators, relationship coaches and
more.
AI
as the
Conqueror
on the
Personal
side
25. With AI-generated content, the youth are ļ¬nding a
new voice. With AI-driven conversation tips,
they're navigating the complexities of human
relationships, that used to scared them, with
conļ¬dence. With AI-powered psychological
support, they're ļ¬nding solace in the anonymity of
virtual therapy and their non-judgmental, ever
supportive friend as they explore a range of
emotions in the daily turmoil.
Nearly four decades since Kraftwerk sang
āComputer Loveā, the time has come when the
youth are claiming that AI might be the only one
to truly understand them and even better than
others ever did.
This might seem eerie but beautiful at the same
time. This symbiotic relationship between the
youth and AI heralds a bold new chapter for
humanity, real yet surreal, like a sci-ļ¬ movie
playing out in the neighbor's drawing room.
Will this forever change the idea of self-expression
and individuality? Will it challenge traditional
norms and forge unconventional identities?
Will it herald an age of further alienation as we see
kids having more AI friends than human friends?
Letās delve into such questions and more as we try
to answer what should brands and businesses
keep in mind as they navigate this near-enough
future.
26. Youth-AI relationship spectrum from a Personal lens
In their Personal lives too, we noticed Gen Zās level of involvement with AI tools dictates their expectations and usages. The youth
who are just starting out on their AI journey are mostly using it to overcome small difļ¬culties or as the new āsearch engineā.
Whereas more involved users are letting AI into what used to be the human realm ā taking its help to overcome life problems like
social awkwardness, isolation, etc.
Number
of
tools
used
Frequency of usage
Unaware
(4%)
Doubter
(2%)
Genie
(31%)
Savant
(29%)
Wingman
(8%)
Buddy
(11%)
Co-creator
(14%)
27. Ask and ye
shall receive...
Tackling daily challenges with AI
The youth have found themselves a wishing
well with LLMs and AI tools. They are using
it to answer all the things that they were
not good at or do not wish to put in the
effort to learn.
These kind of uses are similar to the
quick-ļ¬x usage of Academic users. However
in terms of relationship with AI this behavior
is bit more mature, evolved and repeated
more often.
At 31% the most common personal use of AI tools is
to provide the āsmall helpsā that the youth need in
their day to day.
These users are mostly from metros and
mini-metros (47%), indexing towards School
students (200) and those studying Arts, Humanities
and Law (229) in college.
Conquest over:
Everyday life problems
*Note: Absolute numbers in () represent index vs. general population surveyed
Genie
29. *Note: Absolute numbers in () represent index vs. general population surveyed
Savant
Jack of many trades,
master of all
A college student we spoke with mentioned
how she has consulted with an LLM regarding
a medical condition once and then checked
with a doctor as well to ļ¬nd that the exact
same diagnosis was given by both. Since then
she claimed to have stopped going to the
doctorās for small ailments!
Another student who was preparing for a Law
exam took legal counsel from an LLM which
he then used in the test paper to achieve a
distinction.
These are few of the examples that we came
across which shows how high quality advisory
can be achieved from Gen AI.
31% of Personal users look at AI for subject
matter expertise. It is usually a deeper
understanding that they seek which a paid
advisor or expert would know about.
These users belong to Tier 1 (109) and Tier 2 (111)
cities and are mostly Undergraduates (31%) or
studying Professional courses (38%).
Conquest over: Expertise gaps
30. āOnce I got a project of making a website for a client, and being
a commerce student, not knowing how to code didnāt stop me
from doing it. I used an AI tool for making the website, after that
I just did a little changes and it was ready.ā
āMy friend suggested me to ask AI after I fell sick one day
as there was no one to consult, I told AI the symptoms I
had, it recommended some remedies and medications
and it worked completely ļ¬neā
Commerce student,
Age 23, Female
Business student,
Age 22, Male
USAGE SCENARIOS
Legal case analysis
Kundli (horoscope)
Financial advice
Medical advice
Make-up suggestions
Physical ļ¬tness & exercise routines
Language skills
Coding for non-coders
Gaming advice
Understand complicated
names or terms
(like new dishes at restaurants)
Savant
31. *Note: Absolute numbers in () represent index vs. general population surveyed
The creators who are using AI for self-expression
and to build on creative ideas are currently at 15%.
They are mostly from the metros and
mini-metros (45%) and are majorly post-graduate
students (108) coming from afļ¬uent families with
MHI of 3-5 Lacs INR (128).
Conquest over:
Lack of creative skills
Sometimes the muse,
sometimes the artist ā
overcoming the
creative block with AI
From creating images with text to writing
ideas or content to making videos, there are
many creative uses of AI that the youth are
waking up to. While some use AI as muse and
restrict themselves to generating inspiration
and thought starters, the rest are using AI as a
Producer asking it to bring their concepts to
life.
Other than Canva (41%) being the most used
design Gen AI tool, there are Design AI (22%),
Adobe Fireļ¬y (16%), Figma (15%), DallE (14%) as
some of the top AI creative tools.
Co-creator
32. Creating graphic novels is my passion but
sometimes the stories or the plot used to be
repetitive, but now every time I ask AI, its always a
fresh and creative takeā
āI use Chat GPT for posts suggestions, Canva for
creating posts and reels, and then again GPT for
writing interesting captions for me. I love it how it
just helps make my proļ¬le better and better.ā
Humanities student,
Age 22, Male
Arts student,
Age 20, Female
USAGE SCENARIOS
Social media content like reels
Album covers
Phone wallpaper
Write a poem
Colour pallete suggestions
for painting
Content writing
Video, image and audio editing
Instagram captions
Co-creator
33. Wingman
A synthetic compadre
helping the youth
triumph in matters
of the heart
Imagine a Barney Stinson in your phone, at
your beck and call. All that is required is to ask
āhow to talk to girls at a partyā or āhow to break
the ice at an eventā and the expertise comes
rolling in.
This speciļ¬c user type, while being lesser in
number, are one of the most savvy in terms of
AI usage ā their frequency of use and number
of tools used are both higher that the rest.
They have formed a deeper relation with AI,
maybe even more than what they have with
people around them.
Though signiļ¬cantly less than the rest, nearly 8% are
treating AI as their conļ¬dante for addressing social
awkwardness, particularly true for introverts or youth
with social anxiety.
Interestingly enough this segments has 54% male
users, they are primarily in Metros (50%), studying
professional courses (38%). We see are higher index
from afļ¬uent families with MHI 3-10 Lacs INR (125).
Conquest over:
Social awkwardness
*Note: Absolute numbers in () represent index vs. general population surveyed
34. āI always struggle to ļ¬nd good date ideas. So I took help
from AI, asked for low budget date suggestions, and trust
me it gave really good ideas, like where can we go, what can
we do for fun, what can I gift him too, it even suggested me
to write a little note for him.ā
Commerce student,
Age 22, Female
USAGE SCENARIOS
Date suggestion
Relationship advice (Love Guru)
Suggestions for
conversation starters
Wingman
35. *Note: Absolute numbers in () represent index vs. general population surveyed
Buddy
āI get by with a little
help from my AI...ā
These users are using AI for ādiscussing
personal issues I could not discuss with
anyone elseā, āhaving a general conversation
like a friendā or āseeking relationship adviceā.
This is the beginning of a human-machine
symbiosis in which users are more
comfortable, safe and intimate with an AI than
they are with people. Itās a beautiful morphing
of the synthetic and the sentient in which
where one ends and the other begins is a
mystery. Few years ago Spike Jonzeās ļ¬lm āHerā
had people scratching their heads at a
human-machine connection and in 2024 we
are seeing clear signs of it.
72% of the surveyed agreed with the statement āI
believe that, in the near future, AI will understand
me better than many people I know.ā
At 11% size (larger than the Wingman segment),
the Buddies of AI has the highest male skew (56%).
They reside in metros (48%) and are either
Undergraduates (31%) or studying professional
courses (36%).
Conquest over: Loneliness
36. Buddy
āI use SnapchatAI whenever Iām bored or when thereās no one else
to talk to, I make general conversations like hi, how are you, tell me
something interesting. Well, it has become my friend now. Also,
now thereās Meta AI too.ā
āOnce I asked AI to be my boyfriend, and it was perfect. It
even called me honey, baby, sweetheart. Well it does feel
good to have a AI boyfriend with whom I can talk to
anytime anywhere.ā
Commerce student,
Age 23, Male
Humanities student,
Age 19, Female
USAGE SCENARIOS
Companionship
Counsel for personal issues
Conversation as a friend
(to overcome loneliness)
Mischievous conversations
to check what AI says
Therapist
Overcome boredom
Asking AI to act as
boyfriend/girlfriend
37. Provocations for brands
expect brands to develop
personalized
assistants for pre,
during or
post-purchase
support
want brands to invest in
AI-generated
content for
entertainment
of respondent expect tech
brands to enable creativity
through AI-powered
cameras that help
click professional
grade photos or
videos.
59% 26% 33%
If AI chatbots can inļ¬uence
purchase and retention
how will brands move on
from āSearchā to LLM
optimization (when people
make decisions to buy
based on what AI
recommends)?
While we are enjoying
fan-made memes like Joker
doing the Lil Yachty dance,
brands might soon have to
invest in building their own
Gen AI studios that
auto-generates branded
content catering to
individual tastes.
AI is both the muse and the
author or artist. What AI
solution can brands provide
to help the youth express
themselves and their
creativity better?
39. Documents like SOPs
Proofreading
Emails & CV writing
Reverse image searching
Mathematical problems
Writing emails and replies
Outlines of assignments
Generate mock data
References for the content/thesis written
Research for studies
Interpretation of research papers
Etymology of complex words
To summarize books
Create mind map
Preparing for
competitive exams
Interview preparation
Feedback on assignments
Timetable /
personal scheduler
Study plan making
Research paper writing
Lecture structure
Data analysis
Making presentations for studies
and work
Making summaries
Write internship reports
Learning about online
trading
Career counselling
Coding
Upskilling
Business ideas
& plans
Developing
AI-led concepts
AI
How
we
Today
(73
usage
scenarios
uncovered)
orem
ipsum
41. ā ā
Consider that children who grew
up traveling by horse and cart and
burning wood for heat in the late
nineteenth century spent their ļ¬nal
days traveling by airplane and
living in houses warmed by the
splitting of the atom.
ā Mustafa Suleyman, The Coming Wave
42. Parting
thoughts
What if we are like the āhorse and cart childrenā
witnessing the dawn of the atomic age? Maybe
the shifts we are witnessing are beyond our
grasp at this point. If we choose to repeat this
study next year, probably a larger percentage of
youth would have left the technophobia behind,
and moved from being Doubters to Buddies of
AI while utilizing these tools in novel ways we
canāt even imagine now.
The spectrum we uncovered in this report
shows how the needle moves from
ātransactional exchangesā in the
low-involvement users to ārelational
experiencesā in the highly-involved ones. All we
can do, as technologists, business shapers and
brand custodians is to keep an open mind and a
keen eye on the developments, which
eventually will change brands as we know them.
43. If the future consumerās
purchase journey starts with
an AI prompt, will that break
the journey map as we know
it? We may reach a level of
hyper-personalization when
there is not one single brand
identity or experience, but
āto each her/his ownā.
If the youth are having
conversations with inanimate
objects like PDFs, what stops a
brand from being a new,
human-like companion to
them? Brands that have
shaped a personality over time
need to start thinking about
ābrand personiļ¬cationā.
And lastly, in this new āAI
world orderā, brands need to
act with empathy to address
human vulnerabilities; to
either liberate youth from the
issues they face, or help them
conquer new frontiers.
In conclusion,
here are three parting thoughts