1 10 10 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL 2023 edition: <a href="https://zenodo.org/records/8072950/files/2023_06_22_101%20101%20creative%20ideas%20on%20using%20AI%20in%20Education.pdf?download=1">https://zenodo.org/records/8072950/files/2023_06_22_101%20101%20creative%20ideas%20on%20using%20AI%20in%20Education.pdf?download=1</a> 2024 edition: <a href="https://zenodo.org/records/11613520/files/AILiteracy101_June2024F.pdf?download=1">https://zenodo.org/records/11613520/files/AILiteracy101_June2024F.pdf?download=1</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 101 creative ideas to use AI in education, A crowdsourced collection (2023) / Towards AI literacy: 101+ creative and critical practices, perspectives and purposes (2024) Subject The topic of the resource Use of AI tools in higher education Description An account of the resource The Creativity for Learning in Higher Education or short #creativeHE (<a href="https://creativehecommunity.wordpress.com">https://creativehecommunity.wordpress.com</a>) is an open collaborative community for creative and innovative practitioners and students. This collection on creative ideas to use AI in education captures where we are at this moment in time with our collective thinking about potential alternative uses and applications of AI that could make a real difference and potentially create new learning, development and opportunities for our students and educators, for all of us. The collection is based on an open invitation to all educators and students to share ideas on how AI tools such as ChatGPT, DALL·E 2, and Midjourney, for example, could be used in inventive ways for learning, teaching and scholarship. Creator An entity primarily responsible for making the resource Creativity for Learning in Higher Education #creativeHE Source A related resource from which the described resource is derived Creativity for Learning in Higher Education #creativeHE Publisher An entity responsible for making the resource available Creativity for Learning in Higher Education #creativeHE Date A point or period of time associated with an event in the lifecycle of the resource 2023-2024 Contributor An entity responsible for making contributions to the resource The community members of Creativity for Learning in Higher Education #creativeHE Rights Information about rights held in and over the resource [Creative Commons Attribution-NonCommercial ShareAlike 4.0 International License (CC BY-NC-SA 4.0). This license enables you to copy, redistribute this book in any medium or format and remix, transform, and build upon for non-commercial purposes. If you remix and build-upon the material in this collection, you must distribute your contributions under the same license. Remember to always add the attribution and link back to this original work. Suggested citation for 2023 edition: Nerantzi, C., Abegglen, S., Karatsiori, M. and Martinez-Arboleda, A. (Eds.) (2023). 101 Creative ideas to use AI in education. A collection curated by #creativeHE. Graphic Design by Bushra Hashim. CC-BY-NC-SA 4.0. <a href="https://doi.org/10.5281/zenodo.8072950">https://doi.org/10.5281/zenodo.8072950</a> Suggested citation for 2024 edition: Abegglen, S., Nerantzi, C., Martínez-Arboleda, A., Karatsiori, M., Atenas, J., & Rowell, C. (Eds.) (2024). Towards AI Literacy: 101+ Creative and Critical Practices, Perspectives and Purposes. #creativeHE. <a href="https://doi.org/10.5281/zenodo.11613520">https://doi.org/10.5281/zenodo.11613520</a>] Relation A related resource Creativity for Learning in Higher Education #creativeHE Format The file format, physical medium, or dimensions of the resource Online, book, PDF Language A language of the resource English Type The nature or genre of the resource Crowdsourced collection of case studies book case studies Crowdsource Crowdsourced Crowdsourcing online book PDF report Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf">https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations Subject The topic of the resource The impact and use of artificial intelligence in education Description An account of the resource This report explores the role of AI in education, providing insights and recommendations for educators, policymakers, and stakeholders. It discusses challenges, opportunities, and ethical considerations surrounding AI integration in teaching and learning. Creator An entity primarily responsible for making the resource U.S. Department of Education, Office of Educational Technology Source A related resource from which the described resource is derived N/A Publisher An entity responsible for making the resource available U.S. Department of Education Date A point or period of time associated with an event in the lifecycle of the resource May 2023 Contributor An entity responsible for making contributions to the resource U.S. Department of Education, Office of Educational Technology Rights Information about rights held in and over the resource Public domain (as a U.S. government publication) Relation A related resource N/A Format The file format, physical medium, or dimensions of the resource PDF document Language A language of the resource English Type The nature or genre of the resource Report Identifier An unambiguous reference to the resource within a given context <a href="https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf">https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Global use, mostly focused on USA. book online book PDF report Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00392-8">https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00392-8</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence in Higher Education: The State of the Field Subject The topic of the resource AI applications and impact in Higher Education Description An account of the resource A comprehensive review on the use of AI in online higher education, covering topics such as performance prediction, resource recommendation, automatic assessment, and learning experience enhancement. Creator An entity primarily responsible for making the resource Helen Crompton & Diane Burke Source A related resource from which the described resource is derived SpringerOpen journal, Educational Technology in Higher Education Publisher An entity responsible for making the resource available SpringerOpen Date A point or period of time associated with an event in the lifecycle of the resource 2023 Rights Information about rights held in and over the resource Open Access under Creative Commons License (check specific terms on SpringerOpen) Creative Commons License Format The file format, physical medium, or dimensions of the resource Online Journal Article (PDF/HTML) Language A language of the resource English Type The nature or genre of the resource Journal Article, Research Review Identifier An unambiguous reference to the resource within a given context Crompton, H., Burke, D. Artificial intelligence in higher education: the state of the field. Int J Educ Technol High Educ 20, 22 (2023). <a href="https://doi.org/10.1186/s41239-023-00392-8%20">https://doi.org/10.1186/s41239-023-00392-8</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Global perspective on AI’s role in online higher education PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://www.mdpi.com/2078-2489/15/10/596">https://www.mdpi.com/2078-2489/15/10/596</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education Subject The topic of the resource AI applications in personalized and adaptive learning in higher education Description An account of the resource This paper introduces a novel framework, the Artificial Intelligence-Enabled Intelligent Assistant (AIIA), designed to enhance personalized and adaptive learning experiences in higher education. The AIIA system utilizes advanced AI and Natural Language Processing (NLP) techniques to create an interactive platform that reduces cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and delivering personalized learning support tailored to individual needs and learning styles. Creator An entity primarily responsible for making the resource Ramteja Sajja, Yusuf Sermet, Muhammed Cikmaz, David Cwiertny, Ibrahim Demir Source A related resource from which the described resource is derived Information, Volume 15, Issue 10 Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource September 30, 2024 Rights Information about rights held in and over the resource pen Access under Creative Commons Attribution License Permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Format The file format, physical medium, or dimensions of the resource Online Journal Article (HTML, PDF) Language A language of the resource English Type The nature or genre of the resource Peer-reviewed Journal Article Identifier An unambiguous reference to the resource within a given context Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2024). Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. Information, 15(10), 596. <a href="https://doi.org/10.3390/info15100596">https://doi.org/10.3390/info15100596</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Global perspective on AI applications in higher education PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://unesdoc.unesco.org/ark:/48223/pf0000385146_spa">https://unesdoc.unesco.org/ark:/48223/pf0000385146_spa</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource ChatGPT e inteligencia artificial en la educación superior: Guía de inicio rápido Subject The topic of the resource Understanding ChatGPT and its applications in education/research/administratioin Description An account of the resource This document, published by UNESCO IESALC, serves as a concise guide to ChatGPT, an Artificial Intelligence (AI) tool that has recently gained widespread popularity. The guide explains how ChatGPT operates, explores its potential applications in higher education—such as teaching, research, and administration—and highlights the ethical challenges associated with its use, including concerns around academic integrity, regulatory gaps, and data protection. Lastly, the guide provides recommendations for higher education institutions on integrating ChatGPT in an ethical and responsible way, such as enhancing capacity to understand and manage AI, conducting AI audits, and updating policies on academic integrity. Creator An entity primarily responsible for making the resource Emma Sabzalieva and Arianna Valentini Publisher An entity responsible for making the resource available UNESCO and IESALC Date A point or period of time associated with an event in the lifecycle of the resource 2023 Rights Information about rights held in and over the resource You are free to: <ul> <li style="font-weight:400;">Share — copy and redistribute the material in any medium or format for any purpose, even commercially.</li> <li style="font-weight:400;">Adapt — remix, transform, and build upon the material for any purpose, even commercially.</li> </ul> The licensor cannot revoke these freedoms as long as you follow the terms of the license. Creative Commons Attribution 3.0 - CC BY-SA 3.0 IGO Format The file format, physical medium, or dimensions of the resource Report Language A language of the resource Spanish, English, Portuguese and Russian Type The nature or genre of the resource Report Identifier An unambiguous reference to the resource within a given context Sabzalieva, E., and Valentini, A. (2023). ChatGPT e inteligencia artificial en la educación superior: guía de inicio rápido PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://arxiv.org/abs/2405.11800v1">https://arxiv.org/abs/2405.11800v1</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines Subject The topic of the resource Generative AI policies and adoption in higher education Description An account of the resource This research paper investigates how generative AI is adopted and governed in higher education institutions globally. It examines institutional policies, communication Creator An entity primarily responsible for making the resource Haider Alvi, Raghav Khullar, Abida Subhani, Abhishek Patra, Shefali Sharma, Mohammed Talal Karim Source A related resource from which the described resource is derived arXiv preprint repository Publisher An entity responsible for making the resource available <a href="arXiv.org">arXiv.org</a> Date A point or period of time associated with an event in the lifecycle of the resource October 10, 2023 Rights Information about rights held in and over the resource Open Access under arXiv’s policies Content accessible under arXiv’s open-access terms; consult arXiv for specifics on use and distribution. Format The file format, physical medium, or dimensions of the resource Preprint research paper (PDF) Language A language of the resource English Type The nature or genre of the resource Research Paper, Preprint Identifier An unambiguous reference to the resource within a given context Alvi, H., Khullar, R., Subhani, A., Patra, A., Sharma, S., & Karim, M.T. (2023). Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines. arXiv. <a href="https://arxiv.org/abs/2405.11800v1">https://arxiv.org/abs/2405.11800v1</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Global perspective on generative AI adoption policies in higher education institutions PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://www.taylorfrancis.com/books/oa-mono/10.4324/9781003459026/generative-ai-higher-education-cecilia-ka-yuk-chan-tom-colloton?context=ubx&refId=80049884-500a-4f22-91b4-e5e4598c3072">https://www.taylorfrancis.com/books/oa-mono/10.4324/9781003459026/generative-ai-higher-education-cecilia-ka-yuk-chan-tom-colloton?context=ubx&refId=80049884-500a-4f22-91b4-e5e4598c3072</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Generative AI in Higher Education: The ChatGPT Effect Subject The topic of the resource Use of Generative AI and ChatGPT in higher education Description An account of the resource A comprehensive examination of the use and impact of Generative AI (GenAI) and ChatGPT in higher education. Creator An entity primarily responsible for making the resource Cecilia Ka Yuk Chan and Tom Colloton Source A related resource from which the described resource is derived Routledge – Taylor & Francis Publisher An entity responsible for making the resource available Routledge – Taylor & Francis Date A point or period of time associated with an event in the lifecycle of the resource 21 March 2024 Contributor An entity responsible for making contributions to the resource The University of Hong Kong Rights Information about rights held in and over the resource © 2024 Cecilia Ka Yuk Chan and Tom Colloton. The right of Cecilia Ka Yuk Chan and Tom Colloton to be identified as authors of this work has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. The Open Access version of this book, available at <a href="http://www.taylorfrancis.com">www.taylorfrancis.com</a>, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. The Open Access version of this book was funded by The University of Hong Kong. Format The file format, physical medium, or dimensions of the resource Book Language A language of the resource English Type The nature or genre of the resource Online book, digital book, PDF book digital book online book PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://unesdoc.unesco.org/ark:/48223/pf0000386670/PDF/386670eng.pdf.multi">https://unesdoc.unesco.org/ark:/48223/pf0000386670/PDF/386670eng.pdf.multi</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Harnessing the Era of Artificial Intelligence in Higher Education: A Primer for Higher Education Stakeholders Subject The topic of the resource Understanding AI and its applications in education/research/administration Description An account of the resource This UNESCO document serves as a practical guide for higher education institutions worldwide, providing insights on integrating artificial intelligence (AI) into teaching, learning, research, and administration. While highlighting AI's transformative potential, it also addresses risks such as data bias and threats to academic integrity. The guide offers actionable recommendations to help institutions navigate these challenges and adopt AI ethically and responsibly. Creator An entity primarily responsible for making the resource Bosen Lily Liu, Diana Morales, Jaime Félix Roser Chinchilla, Emma Sabzalieva, Arianna Valentini, Daniele Vieira do Nascimento, Clarisa Yerovi - UNESCO Publisher An entity responsible for making the resource available UNESCO and IESALC Date A point or period of time associated with an event in the lifecycle of the resource 2023 Rights Information about rights held in and over the resource You are free to: <ul> <li style="font-weight:400;">Share — copy and redistribute the material in any medium or format for any purpose, even commercially.</li> <li style="font-weight:400;">Adapt — remix, transform, and build upon the material for any purpose, even commercially.</li> </ul> The licensor cannot revoke these freedoms as long as you follow the terms of the license. Creative Commons Attribution 3.0 - CC BY-SA 3.0 IGO Format The file format, physical medium, or dimensions of the resource Report Language A language of the resource English and Portuguese Type The nature or genre of the resource Report Identifier An unambiguous reference to the resource within a given context Liu, B. L., Morales, D., Roser-Chinchilla, J., Sabzalieva, E., Valentini, A., Vieira do Nascimento, D., & Yerovi, C. (2023). Harnessing the era of artificial intelligence in higher education: a primer for higher education stakeholders. book digital book online book PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://www.crue.org/wp-content/uploads/2024/03/Crue-Digitalizacion_IA-Generativa.pdf">https://www.crue.org/wp-content/uploads/2024/03/Crue-Digitalizacion_IA-Generativa.pdf</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource La Inteligencia Artificial generativa en la docencia universitaria Subject The topic of the resource Understanding AI and its impact in Higher Education institutions Description An account of the resource This document examines the opportunities, challenges, and ethical implications of generative artificial intelligence (GAI) in higher education. It explores how GAI can enhance the educational experience by personalising learning, improving access to education, and increasing faculty efficiency. However, it also highlights potential risks, including resistance to change, dependence on technology, and the necessity for clear ethical policies to prevent misuse. The document concludes with recommendations for the responsible adoption of GAI in universities. Creator An entity primarily responsible for making the resource Francisco Cruz Argudo; Ismael García Varea; Juan A. Martínez Carrascal; Antonio Ruiz Martínez; Pedro M. Ruiz Martínez; Alberto Sánchez Campos; Carlos Turró Ribalta Publisher An entity responsible for making the resource available CRUE universidiades españolas Date A point or period of time associated with an event in the lifecycle of the resource 2024 Format The file format, physical medium, or dimensions of the resource Report Language A language of the resource Spanish Type The nature or genre of the resource Report Identifier An unambiguous reference to the resource within a given context Cruz Argudo, F., García Varea, I., Martínez Carrascal, J. A., Ruiz Martínez, A., Ruiz Martínez, P. M., Sánchez Campos, A., & Turró Ribalta, C. (2024). La inteligencia artificial generativa en la docencia universitaria-Oportunidades, desafíos y recomendaciones. In Conferencia de Rectores de las Universidades Españolas (CRUE). PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resources Description An account of the resource Access to the PDF of related resources. PDF Access to PDF of resource. URL <a href="https://itec.kuleuven-kulak.be/wp-content/uploads/2024/03/Positioning-paper-itec.pdf">https://itec.kuleuven-kulak.be/wp-content/uploads/2024/03/Positioning-paper-itec.pdf</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Learning, teaching & training in the era of Artificial Intelligence: Challenges and opportunities for evidence-based educational research Subject The topic of the resource Use of AI in higher education Description An account of the resource This report provides insight into how AI in education is being researched at itec, an imec research group at KU Leuven, thereby contributing to the accelerating research domain of Artificial Intelligence in Education (AIED). Creator An entity primarily responsible for making the resource itec, an imec research group at KU Leuven Source A related resource from which the described resource is derived itec, an imec research group at KU Leuven: <a href="https://itec.kuleuven-kulak.be">https://itec.kuleuven-kulak.be</a> Publisher An entity responsible for making the resource available itec, an imec research group at KU Leuven Date A point or period of time associated with an event in the lifecycle of the resource 2024 Rights Information about rights held in and over the resource [© 2024 by Acco (Academische Coöperatieve Vennootschap cv), Leuven (België) No part of this publication may be reproduced in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior written permission from the publisher. The publisher has made every attempt to trace the copyright holders. If there has been any oversight, please contact the publisher. © itec, an imec research group at KU Leuven KU Leuven Campus Kulak Kortrijk Etienne Sabbelaan 51 B-8500 Kortrijk E-mail: itec@kuleuven.be Website: <a href="https://itec.kuleuven-kulak.be">https://itec.kuleuven-kulak.be</a> You can refer to this report as follows: Itec (2024). Learning, teaching & training in the era of Artificial Intelligence: Challenges and opportunities for evidence-based educational research. [Positioning paper: coordinated by Rani Van Schoors and Ann Fastré]. Kortrijk: itec, an imec research group at KU Leuven.] Relation A related resource KU Leuven: <a href="https://itec.kuleuven-kulak.be">https://itec.kuleuven-kulak.be</a> Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English, Dutch Type The nature or genre of the resource Report, Positioning paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant itec, an imec research group at KU Leuven PDF positioning paper report