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Learning – Student Support

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What is the application?

Teaching – Instructional Materials

Teaching – Assessment and Feedback

Teaching – Professional Learning

Learning – Student Support

Communicating / Social Tools

Organizing

Analyzing

Who is the user?

Student

Parent/Caregiver

Educator

School Leader

Others

Which age?

0-3 years

Elementary (PK5)

Middle School (6-8)

High School (9-12)

Post-Secondary

Adult

Why use AI?

Efficiency

Outcomes – Literacy

Outcomes – Numeracy

Outcomes – Other Academic

Outcomes – Differentiation

Outcomes – Social Emotional

Outcomes – Durable Skills

Reimagined Schooling

Other

Study design

Descriptive – Implementation and Use

Descriptive – Product Development

Impact – Randomized Controlled Trial

Impact – Quasi-experimental

Systematic Review

Technical – Computational

Quantitative – Others

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Learning – Student Support

Research synthesis is AI-generated, human reviewed. Updated 05/2026.

Displaying 931 - 943 of 943

Teaching Machine Learning in K-12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education

Matti Tedre, Tapani Toivonen, Juho Kahlia, Henriikka Vartiainen, Teemu Valtonen, Ilkka Jormanainen, Arnold Pears. (07/2021). IEEE. https://ieeexplore.ieee.org/document/9490241
Trustworthy Artificial Intelligence In Education: Pitfalls and Pathways

Nathalie A. Smuha. (12/2020). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3742421
Use Of Artificial Intelligence In Education

CMA (Dr.) Ashok Panigrahi, Dr. Vijay Joshi. (05/2020). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3606936
Artificial Intelligence in Education: A Review

Lijia Chen, Pingping Chen, Zhijian Lin. (04/2020). IEEE. https://ieeexplore.ieee.org/document/9069875
Artificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions

Elana Zeide. (06/2019). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4320049
Artificial Intelligence in Education -From a Teacher and a Student Perspective

Indira Sangapu. (12/2018). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3372914
The Impact of ChatGPT on Student Learning/performing

Samir A. El-Seoud, Shehab Eldeen Ayman, Khaled Ahmed Nagaty, Omar Karam. (01/2000). Research Gate. https://www.researchgate.net/publication/372481501_The_Impact_of_ChatGPT_on_Stu…
The LLM Fallacy: Misattribution In AI-Assisted Cognitive Workflows

Hyunwoo Kim, Harin Yu, Hanau Yi. (01/1970). arXiv. https://arxiv.org/abs/2604.14807v1
Building AI Companions that Prioritise Learning over Performance

Hassan Khosravi, Dragan Gasevic, Shazia Sadiq, Lixiang Yan, Jason Lodge, Jason Tangen, Paul Denny, Kristen DiCerbo, Simon Buckingham Shum, Ryan S. Baker. (01/1970). arXiv. https://arxiv.org/abs/2605.04816
Encouraging productive struggle in the age of generative Al

Andrei Biswas and Rajagopal Venkatesaramani. (01/1970). Patterns. https://www.sciencedirect.com/science/article/pii/S2666389926000498
AI Assistance Reduces Persistence and Hurts Independent Performance

Grace Liu, Brian Christian, Tsvetomira Dumbalska, Michiel A. Bakker, Rachit Dubey. (01/1970). arXiv. https://arxiv.org/abs/2604.04721
Thinking-Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender

Steven D. Shaw, Gideon Nave. (01/1970). arXiv. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
AI For Proactive Mental Health: A Longitudinal, Multi-Institutional Trial

Julie Y. A. Cachia, Xuan Zhao, John Hunter, Delancey Wu, Eta Lin, Julian De Freitas. (). Harvard Business School. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5718163

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