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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 511 - 525 of 525
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
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
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
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
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models
Tung Phung, Jose Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Gustavo Soares. (04/2023). arXiv. http://arxiv.org/pdf/2302.04662v2
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
Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning
Hongyin Luo, James Glass. (03/2023). arXiv. https://arxiv.org/pdf/2303.05670
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
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
Solving math word problems with process- and outcome-based feedback
Jonathan Uesato, Nate Kushman, Ramana Kumar, Francis Song, Noah Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving and Irina Higgins. (11/2022). arXiv. http://arxiv.org/pdf/2211.14275v1
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
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
