Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 721 - 750 of 760
Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Paul Denny, Juho Leinonen, Andrew Luxton-Reilly, Thezyrie Amarouche, Brent N. Reeves, James Prather, Brett A. Becker. (07/2023). arXiv. http://arxiv.org/pdf/2307.16364v1
Teachers' And Students' Perception Towards Integration Of Artificial Intelligence In School Curriculum: A Survey
Rini Mandal, Jayanta Mete. (07/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4544750
Assigning AI: Seven Approaches For Students With Prompts
Dr. Ethan Mollick, Dr. Lilach Mollick. (06/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4475995
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home
Eda Okur, Saurav Sahay, Roddy Fuentes Alba, Lama Nachman. (06/2023). arXiv. http://arxiv.org/pdf/2306.00482v1
The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz. (06/2023). Computers and Education, Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X23000267
The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Adaeze Adigwe, Zheng Yuan. (06/2023). arXiv. http://arxiv.org/pdf/2306.05360v1
Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT
David James Woo, Kai Guo, Hengky Susanto. (06/2023). arXiv. http://arxiv.org/pdf/2307.05493v1
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Ana•s Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech. (06/2023). arXiv. http://arxiv.org/pdf/2306.06941v1
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew Lan. (06/2023). arXiv. http://arxiv.org/pdf/2306.00784v1
Enhancing Chemistry Learning with ChatGPT and Bing Chat as Agents-to-Think-With: A Comparative Case Study
Renato P. dos Santos. (05/2023). arXiv. http://arxiv.org/pdf/2305.11890v1
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kaylan. (05/2023). arXiv. http://arxiv.org/pdf/2305.14386v1
Interaction With a Television Character Powered by Artificial Intelligence Promotes Children's Science Learning
Ying Xu, Julian Levine, Valery Vigil, Daniel Ritchie, Shan Zhang, Trisha Thomas, Carlos Barrera, Michelle Meza, Andres Sebastian Bustamante, Mark Warschauer. (04/2023). EdArXiv. https://osf.io/preprints/edarxiv/m3ej9
Al literacy in K-12: a systematic literature review
Lorena Casal-Otero, Alejandro Catala, Carmen Fern¬ández-Morante, M¬ária Taboada, Beatriz Cebreiro & Sen¬én Barro. (04/2023). SpringerOpen. https://stemeducationjournal.springeropen.com/articles/10.1186/s40594-023-00418…
Understanding EFL Students' Idea Generation Strategies for Creative Writing with NLG Tools
David James Woo, Yanzhi Wang, Hengky Susanto, Kai Guo. (04/2023). arXiv. http://arxiv.org/pdf/2207.01484v3
ChatGPT for education and research: A review of benefits and risks
Sarin Sok, Kimkong Heng. (03/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4378735
Could an Artificial-Intelligence agent pass an introductory physics course?
Gerd Kortemeyer. (02/2023). arXiv. http://arxiv.org/pdf/2301.12127v2
A Perspective On K-12 AI Education
Nathan Wang, Paul Tonko, Nikil Ragav, Michael Chungyoun, Jonathan Plucker. (01/2023). arXiv. https://arxiv.org/pdf/2206.03217
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture
Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal. (12/2022). arXiv. http://arxiv.org/pdf/2212.07542v1
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
Can Artificial Intelligence Improve Gender Equality? Evidence from a Natural Experiment
Leo Bao, Difang Huang, Chen Lin. (08/2022). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4202239
A Review of Artificial Intelligence (AI) in Education during the Digital Era
Pongsakorn Limna, Somporch Jakwatanatham, Sutithep Siripipattanakul, Pichart Kaewpuang, Patcharavadee Sriboonruang. (07/2022). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4160798
Artificial Intelligence Applications in K-12 Education: A Systematic Literature Review
Mostafa Zafari, Jalal Safari Bazargani, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi. (05/2022). IEEE. https://ieeexplore.ieee.org/document/9785805
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
Know Thy Student: Interactive Learning with Gaussian Processes
Rose E. Wang, Mike Wu, Noah Goodman. (04/2022). arXiv. https://arxiv.org/pdf/2204.12072
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
