Descriptive – Implementation and Use

Takeaways

Integrating AI tools as supplementary aids rather than replacements for human instruction is a best practice, fostering critical thinking through discussion and collaboration. (Krause et al., 2024)
Providing personalized learning experiences by tailoring AI interactions to student needs and generating customized feedback shows promise in enhancing engagement. (Mollick et al., 2024)
Establishing clear guidelines and policies addressing potential misuse, academic integrity, and ethical implications like plagiarism is crucial for responsible AI implementation. (Lee & Zhai, 2024; Wu et al., 2024; Ghimire & Edwards, 2024)
Utilizing AI for adaptive assessments that customize content based on individual student progress can create personalized learning paths and pinpoint areas for improvement. (Panigrahi & Joshi, 2020; Xiao et al., 2024)
Educator training on AI capabilities, limitations, and integration strategies is vital for effective classroom use, alongside open communication with students. (Cassidy et al., 2023; Saito, 2024)
Combining human involvement and oversight with AI analysis enhances robustness, addresses limitations, and mitigates biases in educational applications of generative AI. (Katz et al., 2023; Mogavi et al., 2023)
Alignment with curriculum goals, addressing ethical concerns like data privacy, and promoting inclusivity are key considerations for responsible AI implementation across diverse contexts. (Smuha, 2020; Bentley et al., 2023)
Leveraging AI for content creation, personalized instruction, and collaborative peer learning shows potential, but concerns around academic integrity persist. (Bashiri & Jowsari, 2024; Denny et al., 2024)
A collaborative, multi-stakeholder approach involving educators, students, and school leaders is recommended for developing comprehensive AI usage guidelines. (Wu et al., 2024, Dotan et al., 2024)
Factors influencing AI adoption include access to technology, training resources, infrastructure, perceived benefits, ethical concerns, and institutional policies. (Mogavi et al., 2024; Himang et al., 2023)

Displaying 1 - 30 of 39

Scaffold or Crutch? Examining College Students’ Use and Views of Generative AI Tools for STEM Education

Karen D. Wang, Zhangyang Wu, L'Nard Tufts II, Carl Wieman, Shima Salehi, Nick Haber. (12/2024). arXiv. https://arxiv.org/abs/2412.02653
Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning

Masoud Bashiri, Kamran Kowsari. (12/2024). arXiv. https://arxiv.org/abs/2407.15012
Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements

Ahmad M. Nazar, Mohamed Y. Selim, Ashraf Gaffar, Shakil Ahmed. (12/2024). arXiv. https://arxiv.org/abs/2407.18310
Is ChatGPT Massively Used by Students Nowadays? A Survey on the Use of Large Language Models such as ChatGPT in Educational Settings

Jérémie Sublime, Ilaria Renna. (12/2024). arXiv. https://arxiv.org/abs/2412.17486
From Unseen Needs to Classroom Solutions: Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education

Hanqi Li, Ruiwei Xiao, Hsuan Nieu, Ying-Jui Tseng, Guanze Liao. (12/2024). arXiv. https://arxiv.org/abs/2412.17243
Artificial Intelligence Policy Framework for Institutions

William Franz Lamberti. (12/2024). arXiv. https://arxiv.org/abs/2412.02834
ActiveAl: Enabling K-12 AI Literacy Education & Analytics at Scale

Ruiwei Xiao, Ying-Jui Tseng, Hanqi Li, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger. (12/2024). arXiv. https://arxiv.org/abs/2412.14200
Artificial Human Lecturers: Initial Findings From Asia's First AI Lecturers in Class to Promote Innovation in Education

Ching Christie Pang, Yawei Zhao, Zhizhuo Yin, Jia Sun, Reza Hadi Mogavi, Pan Hui. (10/2024). arXiv. https://arxiv.org/abs/2410.03525
AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities

Chuhao Wu, He Zhang, John M. Carroll. (09/2024). arXiv. https://arxiv.org/abs/2409.02017
Q-Module-Bot: A Generative AI-Based Question and Answer Bot for Module Teaching Support

Mia Allen, Usman Naeem, Sukhpal Singh Gill. (08/2024). IEEE. https://ieeexplore.ieee.org/document/10628100
The Feedback Prize: A Case Study in Assisted Writing Feedback Tools

Perpetual Baffour, Scott Crossley, Yu Tian, Alex Franklin, Natalie Rambis, Meg Benner, Ulrich Boser. (08/2024). The Learning Agency Lab. https://the-learning-agency-lab.com/wp-content/uploads/2023/08/TLA-Lab_Whitepap…
Exploring Generative AI Policies in Higher Education: A Comparative Perspective from China, Japan, Mongolia, and the USA

Qin Xie, Ming Li, Ariunaa Enkhtur. (07/2024). arXiv. https://arxiv.org/abs/2407.08986
Use Scenarios & Practical Examples of AI Use in Education

Dara Cassidy, Yann-Aël Le Borgne, Francisco Bellas, Riina Vuorikari, Elise Rondin, Madhumalti Sharma, Jessica Niewint-Gori, Johanna Gröpler, Anne Gilleran, Lidija Kralj. (07/2024). arXiv. https://arxiv.org/abs/2309.12320
Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines

Hui Wang, Anh Dang, Zihao Wu, Son Mac. (07/2024). arXiv. https://arxiv.org/abs/2312.05235
Harvard Undergraduate Survey on Generative AI

Shikoh Hirabayashi, Rishab Jain, Nikola Jurković, Gabriel Wu. (06/2024). arXiv. https://arxiv.org/pdf/2406.00833
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines

Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, Roberto Martinez-Maldonado. (05/2024). arXiv. https://arxiv.org/abs/2405.11800
Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI

Gyeong-Geon Lee, Xiaoming Zhai. (05/2024). arXiv. https://arxiv.org/abs/2405.07163
The Utility of Large Language Models and Generative AI for Education Research

Andrew Katz, Umair Shakir, Ben Chambers. (05/2024). arXiv. https://arxiv.org/abs/2305.18125
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning

Gyeong-Geon Lee, Xiaoming Zhai. (05/2024). IEEE. https://ieeexplore.ieee.org/document/10531039
Artificial Intelligence and Educational Measurement: Opportunities and Threats

Andrew D. Ho. (05/2024). DASH Harvard. https://dash.harvard.edu/bitstream/handle/1/37379195/AI%20and%20Educational%20M…
A Human-Centered Learning and Teaching Framework Using Generative Artificial Intelligence for Self-Regulated Learning Development Through Domain Knowledge Learning in K–12 Settings

Siu-Cheung Kong, Yin Yang. (04/2024). IEEE. https://ieeexplore.ieee.org/document/10507034
The Evolution of Learning: Assessing the Transformative Impact of Generative AI on Higher Education

Stefanie Krause, Bhumi Hitesh Panchal, Nikhil Ubhe. (04/2024). arXiv. https://arxiv.org/abs/2404.10551
Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts

Ethan R. Mollick, Lilach Mollick. (04/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802463
From Guidelines to Governance: A Study of AI Policies in Education

Aashish Ghimire, John Edwards. (03/2024). arXiv. https://arxiv.org/abs/2403.15601
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla. (02/2024). arXiv. https://arxiv.org/abs/2402.01580
What Explains Teachers' Trust of AI in Education across Six Countries?

Olga Viberg, Mutlu Cukurova, Yael Feldman-Maggor, Giora Alexandron, Shizuka Shirai, Susumu Kanemune, Barbara Wasson, Cathrine Tømte, Daniel Spikol, Marcelo Milrad, Raquel Coelho, René F. Kizilcec. (02/2024). arXiv. https://arxiv.org/abs/2312.01627
The Comparative Analysis of National Policies for Research and Education Regarding Usage of Generative AI in Japan, the USA and the UK

Nagayuki Saito. (01/2024). IDEAS. https://ideas.repec.org/p/zbw/itsb24/302516.html
Assigning AI: Seven Approaches for Students, with Prompts

Ethan R. Mollick, Lilach Mollick. (09/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4475995
Application of Chatgpt in Higher Education and Research – a Futuristic Analysis

P. S. Aithal, Shubhrajyotsna Aithal. (09/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4674364
A Framework for Responsible AI Education: A Working Paper

Caitlin Bentley, Christine Aicardi, Sammia Poveda, Leonardo Magela Cunha, David Kohan Marzagao, Richard Glover, Eryn Rigley, Simon Walker, Martin Compton, Oguz A Acar. (08/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4544010

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Descriptive – Implementation and Use

Takeaways

Scaffold or Crutch? Examining College Students’ Use and Views of Generative AI Tools for STEM Education

Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning

Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements

Is ChatGPT Massively Used by Students Nowadays? A Survey on the Use of Large Language Models such as ChatGPT in Educational Settings

From Unseen Needs to Classroom Solutions: Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education

Artificial Intelligence Policy Framework for Institutions

ActiveAl: Enabling K-12 AI Literacy Education & Analytics at Scale

Artificial Human Lecturers: Initial Findings From Asia's First AI Lecturers in Class to Promote Innovation in Education

AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities

Q-Module-Bot: A Generative AI-Based Question and Answer Bot for Module Teaching Support

The Feedback Prize: A Case Study in Assisted Writing Feedback Tools

Exploring Generative AI Policies in Higher Education: A Comparative Perspective from China, Japan, Mongolia, and the USA

Use Scenarios & Practical Examples of AI Use in Education

Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines

Harvard Undergraduate Survey on Generative AI

Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines

Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI

The Utility of Large Language Models and Generative AI for Education Research

Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning

Artificial Intelligence and Educational Measurement: Opportunities and Threats

A Human-Centered Learning and Teaching Framework Using Generative Artificial Intelligence for Self-Regulated Learning Development Through Domain Knowledge Learning in K–12 Settings

The Evolution of Learning: Assessing the Transformative Impact of Generative AI on Higher Education

Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts

From Guidelines to Governance: A Study of AI Policies in Education

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

What Explains Teachers' Trust of AI in Education across Six Countries?

The Comparative Analysis of National Policies for Research and Education Regarding Usage of Generative AI in Japan, the USA and the UK

Assigning AI: Seven Approaches for Students, with Prompts

Application of Chatgpt in Higher Education and Research – a Futuristic Analysis

A Framework for Responsible AI Education: A Working Paper