Published: Our Generative AI Manifesto

Published now:

The Manifesto for Teaching & Learning in a Time of Generative AI: A Critical Collective Stance to Navigate the Future

Generative AI is reshaping higher education, offering tools to personalize learning, boost efficiency, and expand accessibility. But beneath the surface, it raises profound questions:

  • How do we maintain human oversight in algorithm-driven systems?
  • Are we safeguarding equity and amplifying diverse voices – or reinforcing biases?
  • How can we ensure that GenAI enhances, rather than erodes, creativity, critical thinking, and empathy in education?

This manifesto calls for thoughtful, evidence-based action to ensure GenAI empowers, rather than diminishes, our collective agency in education. Let’s reimagine the future of learning – ethically and inclusively.

📖 Read more: https://doi.org/10.55982/openpraxis.16.4.777

Written together with:

Aras Bozkurt , Junhong Xiao , Robert Farrow , John Bai , Chrissi Nerantzi , Stephanie L. Moore , Jon Dron , Lenandlar Singh , Helen Crompton , Apostolos Koutropoulos , Evgenii Terentev , Angelica Pazurek , Mark Nichols , Alexander Sidorkin , Eamon Costello , Steve Watson , Dónal Mulligan , Sarah Honeychurch , Charles Hodges , Mike Sharples , Andrew Swindell , Isak Frumin , Ahmed Tlili , Patricia J Slagter van Tryon , Melissa Bond , Maha Bali , Jing Leng , Kai Zang , Mutlu Cukurova , Thomas Chiu , Kyungmee Lee , Stefan Hrastinski, Manuel B. Garcia , Ramesh Sharma , Bryan Alexander , Olaf Zawacki-Richter , Henk Huijser , Petar Jandric , Chanjin Zhen , Peter Shea , Josep M Duart , Chryssa Themelis , Anton Vorochkov , Sunagül Sani Bozkurt , Rob Moore , Tutaleni I. Asino

Published: Open Education for Safe Generative AI

Published:

Taming the Monster: How can Open Education Promote the Effective and Safe use of Generative AI in Education?

We have converted the question: We should not ask how Generative AI can improve (Open) Education but how (Open) Education can improve Generative AI!

The development, use, and timely promotion of Open Education (OE) has been effective in addressing myriad educational concerns, including inclusivity, accessibility and learning achievement, among many others. However, limited information exists in the literature concerning how OE could enhance Generative Artificial Intelligence (GenAI), which is receiving extensive interest and criticism at this time. To address this research gap, this study relies on the Open Educational Practices (OEP) framework of Huang et al. (2020) to provide various OEP scenarios that could help to promote and facilitate the effective and safe adoption of GenAI in education. The findings of this study could provide guidelines on how relying on OEP when adopting GenAI could help in ensuring quality education which is the sustainable development goal (SDG 4) of the United Nations (UN).

📖 Enjoy reading: https://doi.org/10.56059/jl4d.v11i3.1657

Written together with:

Ahmed Tlili ,Michael Agyemang Adarkwah , Chung Kwan Lo , Aras Bozkurt , Daniel Burgos , Curtis J. Bonk , Eamon Costello , Sanjaya Mishra , and Ronghuai Huang