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Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 601 - 616 of 616
Alexa doesn't have that many feelings: Children's understanding of AI through interactions with smart speakers in their homes
Valentina Andries, Judy Robertson. (05/2023). arXiv. http://arxiv.org/pdf/2305.05597v1
Generative 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. https://arxiv.org/pdf/2305.07605
Comparing Code Explanations Created by Students and Large Language Models
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas. (04/2023). arXiv. http://arxiv.org/pdf/2304.03938v1
How Useful are Educational Questions Generated by Large Language Models?
Sabina Elkins, Ekaterina Kochmar, Iulian Serban, Jackie C.K. Cheung. (04/2023). arXiv. http://arxiv.org/pdf/2304.06638v1
AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays
Steffen Herbold, Annette Hautli-Janisz, Ute Heuer, Zlata Kikteva, Alexander Trautsch. (04/2023). arXiv. http://arxiv.org/pdf/2304.14276v1
Could an Artificial-Intelligence agent pass an introductory physics course?
Gerd Kortemeyer. (02/2023). arXiv. http://arxiv.org/pdf/2301.12127v2
Aligning Learners' Expectations and Performance by Learning Analytics System with a Predictive Model
Sasa Brdnik, Bostjan Sumak, Vili Podgorelec. (11/2022). arXiv. http://arxiv.org/pdf/2211.07729v1
Artificial Intelligence, Education, and Entrepreneurship
Michael Gofman, Zhao Jin. (07/2022). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3449440
Automatic Generation Of Programming Exercises And Code Explanations With Large Language Models
Sami Sarsa, Paul Denny, Juho Leinonen, Arto Hellas. (06/2022). arXiv. http://arxiv.org/pdf/2206.11861v2
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
Anais Tack, Chris Piech. (05/2022). arXiv. http://arxiv.org/pdf/2205.07540v1
StoryBuddy: 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. http://arxiv.org/pdf/2202.06205v2
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
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…
Marked Pedagogies: Examining Linguistic Biases in Personalized Automated Writing Feedback
Mei Tan, Lena Phalen, Dorottya Demszky. (01/1970). arXiv. https://dl.acm.org/doi/10.1145/3785022.3785113
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-…

