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Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 511 - 540 of 561
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Kashif Ahmad, Waleed Iqbal, Ammar El-Hassan, Junaid Qadir, Driss Benhaddou, Moussa Ayyash, Ala Al-Fuqaha. (09/2023). IEEE. https://ieeexplore.ieee.org/document/10247566
The impact of ChatGPT on higher education
Juan Dempere, Kennedy Modugu, Allam Hesham, Lakshmana Kumar Ramasamy. (09/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4592192
ChatGPT-4 with Code Interpreter can be used to solve introductory college-level vector calculus and electromagnetism problems
Tanuj Kumar, Mikhail A. Kats. (09/2023). arXiv. http://arxiv.org/pdf/2309.08881v1
Application of ChatGPT in Higher Education and Research - A Futuristic Analysis
P. S. Aithal, Shubhrajyosna Aithal. (09/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4674364
Implementing Learning Principles with a Personal AI Tutor: A Case Study
Ambroise Baillifard, Maxime Gabella, Pamela Banta Lavenex, Corinna S. Martarelli. (09/2023). arXiv. http://arxiv.org/pdf/2309.13060v1
Automating question generation from educational text
Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty, Prasenjit Dey, Leigh Hall, Jeremy Hartman, Ravi Kokku, Hema Maheshwari. (09/2023). arXiv. http://arxiv.org/pdf/2309.15004v1
ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Yikang Liu, Ziyin Zhang, Wanyang Zhang, Shisen Yue, Xiaojing Zhao, Xinyuan Cheng, Yiwen Zhang, Hai Hu. (09/2023). arXiv. http://arxiv.org/pdf/2304.07666v2
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Majeed Kazemitabaar, Xinying Hou, Austin Henley, Barbara J. Ericson, David Weintrop, Tovi Grossman. (09/2023). arXiv. http://arxiv.org/pdf/2309.14049v1
Education in the age of Generative AI: Context and Recent Developments
Rafael Ferreira Mello, Elyda Freitas, Filipe Dwan Pereira, Luciano Cabral, Patricia Tedesco, Geber Ramalho. (08/2023). arXiv. http://arxiv.org/pdf/2309.12332v1
Let's Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations
Sakib Shahriar, Kadhim Hayawi. (08/2023). arXiv. http://arxiv.org/pdf/2302.13817v4
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors*
Tung Phung, Victor-Alexandru Padurean, Jose Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares. (08/2023). arXiv. http://arxiv.org/pdf/2306.17156v3
AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education
Cassie Chen Cao, Zijian Ding, Jionghao Lin, Frank Hopfgartner. (08/2023). arXiv. https://arxiv.org/pdf/2308.03992
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)
Cansu Koyuturk, Mona Yavari, Emily Theophilou, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Alessandro Gabbiadini, Davinia Hernandez-Leo, Martin Ruskov, Dimitri Ognibene. (08/2023). arXiv. http://arxiv.org/pdf/2306.10645v2
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
Understanding the Dynamics of ChatGPT Adoption Among Undergraduate Students: Dataset from a Philippine State University
Celbert M. Himanga, Samuel C. Villa Jr., Neljun E. Mayorga, Nelson F. Nolon, Gregorio P. Pajaron Jr., Engezbent M. Himang. (07/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4489186
M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1:1 Instruction and Student Outcomes
Dorottya Demszky, Jing Liu. (07/2023). EdWorkingPapers. https://edworkingpapers.com/sites/default/files/ai23-759-v2.pdf
Use Scenarios & Practical Examples of AI Use in Education Briefing report No. 3 by the European Digital Education Hub's squad on artificial intelligence in education
Dara Cassidy, Yann-A‘l Le Borgne, Francisco Bellas, Riina Vuorikari, Elise Rondin, Madhumalti Sharma, Jessica Niewint-Gori, Johanna Gršppler, Anne Gilleran, Lidija Kralj. (07/2023). arXiv. https://arxiv.org/pdf/2309.12320
A large language model-assisted education tool to provide feedback on open-ended responses
Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording. (07/2023). arXiv. http://arxiv.org/pdf/2308.02439v1
On the application of Large Language Models for language teaching and assessment technology
Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, ¯istein Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery. (07/2023). arXiv. http://arxiv.org/pdf/2307.08393v1
Computing Education in the Era of Generative AI
Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa. (06/2023). arXiv. http://arxiv.org/pdf/2306.02608v1
Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
Kehui Tan, Tianqi Pang, Chenyou Fan, Song Yu. (06/2023). arXiv. http://arxiv.org/pdf/2305.03433v2
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
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts
Rose E. Wang, Pawan Wirawarn, Noah Goodman, Dorottya Demszky. (06/2023). arXiv. http://arxiv.org/pdf/2306.09343v1
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
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
Scalable Educational Question Generation with Pre-trained Language Models
Sahan Bulathwela, Hamze Muse and Emine Yilmaz. (05/2023). arXiv. http://arxiv.org/pdf/2305.07871v1
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
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
