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Research Study Repository
Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 541 - 553 of 553 results
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home
Eda Okur, Saurav Sahay, Roddy Fuentes Alba, Lama Nachman. (06/2023). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5)
Why use AI? Outcomes – Numeracy, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalVisualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers
Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Kaser. (05/2023). arXiv.
What is the application? Analyzing
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Social Emotional, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Quantitative – OthersAI Audit: A Card Game to Reflect on Everyday AI Systems
Safinah Ali, Vishesh Kumar, Cynthia Breazeal. (05/2023). arXiv.
What is the application?
Who is the user?
Which age? Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Durable Skills
Study design: Descriptive – Product DevelopmentGenerative AI: Implications and Applications for Education
Anastasia Olga (Olnancy) Tzirides, Akash Saini, Gabriela Zapata, Duane Searsmith, Bill Cope, Mary Kalantzis, Vania Castro, Theodora Kourkoulou, John Jones, Rodrigo Abrantes da Silva, Jen Whiting, Nikoleta Polyxeni Kastania. (05/2023). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersPersonalized Cognitive Tutoring using Davinci-003 API for Adaptive Question Generation and Assessment
Devan Walton. (04/2023). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentA Perspective On K-12 AI Education
Nathan Wang, Paul Tonko, Nikil Ragav, Michael Chungyoun, Jonathan Plucker. (01/2023). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product DevelopmentBuild-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture
Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal. (12/2022). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12)
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalAligning Learners' Expectations and Performance by Learning Analytics System with a Predictive Model
Sasa Brdnik, Bostjan Sumak, Vili Podgorelec. (11/2022). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Analyzing
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Social Emotional
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersStoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li. (03/2022). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Parent/Caregiver
Which age? Elementary (PK5)
Why use AI? Efficiency, Outcomes – Literacy, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersAI-Based Learning Style Prediction in Online Learning for Primary Education
Bens Pardamean; Teddy Suparyanto; Tjeng Wawan Cenggoro; Digdo Sudigyo; Andri Anugrahana. (03/2022). IEEE.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8)
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersTrustworthy Artificial Intelligence In Education: Pitfalls and Pathways
Nathalie A. Smuha. (12/2020). SSRN.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Teaching – Professional Learning, Learning – Student Support, Analyzing
Who is the user? Student, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Differentiation, Reimagined Schooling
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentArtificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions
Elana Zeide. (06/2019). SSRN.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing, Analyzing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentBuilding 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.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Parent/Caregiver, Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Systematic Review
