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Teaching – Instructional Materials

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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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Teaching – Instructional Materials

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

Displaying 541 - 551 of 551

AI-Based Learning Style Prediction in Online Learning for Primary Education

Bens Pardamean; Teddy Suparyanto; Tjeng Wawan Cenggoro; Digdo Sudigyo; Andri Anugrahana. (03/2022). IEEE. https://ieeexplore.ieee.org/document/9737111
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…
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
The LLM Fallacy: Misattribution In AI-Assisted Cognitive Workflows

Hyunwoo Kim, Harin Yu, Hanau Yi. (01/1970). arXiv. https://arxiv.org/abs/2604.14807v1
Civic Education In The Age Of Al: Should We Trust Al-Generated Lesson Plans?

Torrey Trust, Robert Maloy, Chenyang Xu, & Kael Pelletier. (). Contemporary Issues in Technology and Teacher Education. https://citejournal.org/volume-25/issue-3-25/social-studies/civic-education-in-…

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