Text / content analysis

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 211 - 233 of 233 studies

Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines

Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, Roberto Martinez-Maldonado. (05/2024). arXiv. https://arxiv.org/pdf/2405.11800
Desirable Characteristics for AI Teaching Assistants in Programming Education

Paul Denny, Stephen MacNeil, Jaromir Savelka, Leo Porter, Andrew Luxton-Reilly. (05/2024). arXiv. https://arxiv.org/pdf/2405.14178
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes

Rose Wang, Qingyang Zhang, Carly D. Robinson, Susanna Loeb, Dorottya Demszky. (04/2024). arXiv. http://arxiv.org/pdf/2310.10648v3
Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching

Andrew Katz, Mitch Gerhardt, Michelle Soledad. (03/2024). arXiv. http://arxiv.org/pdf/2403.11984v1
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts

Zewei Tian, Min Sun, Alex Liu, Shawon Sarkar, Jing Liu. (03/2024). arXiv. http://arxiv.org/pdf/2403.03920v1
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models

Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil. (03/2024). arXiv. http://arxiv.org/pdf/2403.09409v1
Edu-ConvoKit An Open-Source Library for Education Conversation Data

Rose Wang, Dorottya Demszky. (02/2024). arXiv. http://arxiv.org/pdf/2402.05111v1
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning

Gyeong-Geon Lee, Xiaoming Zhai. (01/2024). arXiv. http://arxiv.org/pdf/2402.01674v1
From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews

Alex Liu, Min Sun. (12/2023). arXiv. http://arxiv.org/pdf/2312.01202v1
Deciphering Stereotypes in Pre-Trained Language Models

Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi. (12/2023). ACL Anthology. https://aclanthology.org/2023.emnlp-main.697/
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education

Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, Pan Hui. (11/2023). arXiv. https://arxiv.org/pdf/2305.13114
The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts

Dorottya Demszky, Heather Hill. (10/2023). arXiv. https://arxiv.org/pdf/2211.11772
"Mistakes Help Us Grow‚Äù: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms

Kunal Handa, Margaret Clapper, Jessica Boyle, Rose Wang, Diyi Yang, David S Yeager, Dorottya Demszky. (10/2023). arXiv. https://arxiv.org/pdf/2310.10637
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
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
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts

Rose Wang, Pawan Wirawarn, Noah Goodman, Dorottya Demszky. (06/2023). arXiv. http://arxiv.org/pdf/2306.09343v1
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
The Utility of Large Language Models and Generative AI for Education Research

Andrew Katz, Umair Shakir, Benjamin Chambers. (05/2023). arXiv. https://arxiv.org/pdf/2305.18125
Enhancing Chemistry Learning with ChatGPT and Bing Chat as Agents-to-Think-With: A Comparative Case Study

Renato Pires dos Santos. (05/2023). arXiv. http://arxiv.org/pdf/2305.11890v1
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
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
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
ChatGPT or academic scientist? Distinguishing authorship with over 99% accuracy using off-the-shelf machine learning tools.

Heather Desaire, Aleesa E. Chua, Madeline Isom, Romana Jarosova, David Hua. (03/2023). arXiv. http://arxiv.org/pdf/2303.16352v1