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AI in Education: General Perspectives, Principles, and Future Directions
AI in Education: General Perspectives, Principles, and Future Directions
- Creative applications of Artificial Intelligence - Contributed by: John Hattie
- Discourses of artificial intelligence in higher education: critical literature review - Contributed by: Dr Susan Zhang
- Generative artificial intelligence in education: Initial principles developed from practitioner reflexive researchΒ - Contributed by: Dr Nick Jackson
- Nurturing human intelligence in the age of AI: rethinking education for the future - Contributed by Rose LuckinΒ
- Machine Learning and Human Intelligence The future of education for the 21st century - Contributed by Rose LuckinΒ
- The Future of AI in Education: 13 Things We Can Do to Minimize the Damage - Contributed by John Hattie
AI for Feedback and Assessment
AI for Feedback and Assessment
- AI-generated feedback on writing insights into efficacy and ENL student preference - Contributed by Ryan ElwellΒ
- Explore the Use of artificial intelligence (AI) in the delivery of effective feedback - Contributed by Ryan ElwellΒ
- Artificial Intelligence in feedback: Qualitative analysis - Contributed by Ryan ElwellΒ
- AI feedback: moving beyond the hype to integrating it into a coherent feedback pedagogyΒ - Contributed by Ryan ElwellΒ
Student & Educator Perspectives on AI
Student & Educator Perspectives on AI
- Student perspectives on AI in Higher Education: Student Survey - Contributed by Nick Jackson
- Empowering educators to be AI-ready - Contributed by Rose Luckin
- 100 Student Voices on AI and EducationΒ
- What and why do teachers need to know about artificial intelligence?Β - Contributed by Anne Forbes
Β Ethical Considerations and AI Literacy
Β Ethical Considerations and AI Literacy
- Ethical Principles for the Development and Application of Artificial Intelligence in K-12 Education - Contributed by Rose LuckinΒ
- AI Literacy: Definition, Teaching, Evaluation and Ethical IssuesΒ
- Defining and Modeling AI Technical Fluency for Effective Human-Machine InteractionΒ
Specific AI Applications and Case Studies in Education
Specific AI Applications and Case Studies in Education
- A Learning Analytics Approach to Monitoring the Quality of Online One-to-One Tutoring - Contributed by Rose LuckinΒ Β
- Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and ProspectsΒ
- The Great NYC ChatGPT FlipPBL Future Labs "Learning Mission" Grade 9 English Language ArtsΒ
Neurodiversity and Digital Inclusion
Neurodiversity and Digital Inclusion
Other interesting work around (not research paper)
Other interesting work around (not research paper)
- The Synthetic Knowledge Crises by Jeppe Klitgaard Stricker
- Your Learners are Using AI to redesign Your Courses by Dr Phillipa Hardman
- Learning to learn is the North Star of an AI World Where The World Changes Quickly - by Stefan Buschard
- AI Agents are here - Here's what to know about what the can do and how they can go wrong - by Daswin De Silva
Continuing Education Resources
Continuing Education Resources
- Artificial Intelligence: Panacea or Pandora's box? By Louisa Callanan
- Eduverse Newsletter: AI & Us: The New Harmony in Education
- Gen AI Use Cases in K-12 Education by EdTech Insiders
AI Literacy
AI Literacy
- Empowering Learners for the Age of AI by OECD - contributed by Ioannis Anapliotis
- Australian Framework for Generative Artificial Intelligence (AI) in Schools
Repositories
Repositories
AI in Education for students, The University of Sydney
AI for Educators, The University of Sydney
Teaching@Sydney, The University of Sydney
https://scale.stanford.edu/genai/repository Stanford University
https://ai.stanford.edu/blog/icml-2025/ Stanford University
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