Search and Filter
Repository Feedback
Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.
Submit a research study
Contribute to the repository:
Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 741
From Surface Learning To Deep Understanding: A Grounded AI Tutoring System For Moodle
Anna Ostrowska, Michał Kukla, Gabriela Majstrak, Jan Opala, Sebastian Pergała, Jan Skwarek, Anna Wroblewska ´. (05/2026). arXiv. https://arxiv.org/abs/2605.06963v1
The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness
Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, and Narges Norouzi. (05/2026). arXiv. https://arxiv.org/abs/2605.05648v1
Learnmate^2: Design And Evaluation Of An LLM-Powered Personalized And Adaptive Support System For Online Learning
Xinyu Jessica Wang, Christine P Lee, Bilge Mutlu. (05/2026). arXiv. https://arxiv.org/abs/2605.06257v1
Lata: A Drop-In, Ferpa-Compliant Local-LLM Autograder For Upper-Division STEM Coursework
Jesse A. Rodríguez. (05/2026). arXiv. https://arxiv.org/abs/2605.05410v1
Aissa: Implementation And Deployment Of An AI-Based Student Slides Analysis Tool For Academic Presentations
Alvaro Becerra, Diego Gomez and Ruth Cobos. (05/2026). arXiv. https://arxiv.org/abs/2605.04729v1
Alcofe: Implementation And Deployment Of An AI-Based Collaborative Feedback System For Higher Education
Alvaro Becerra, Alejandra Palma, Ruth Cobos. (05/2026). arXiv. https://arxiv.org/abs/2605.04740v1
Automatic Reflection Level Classification In Hungarian Student Essays
Zsolt Csibi, Kristian Fenech, Mónika Sándor, Mónika Serfőző, Kinga Gyöngy. (05/2026). arXiv. https://arxiv.org/abs/2605.02402v1
AI Adoption Among Teachers: Insights On Concerns, Support, Confidence, And Attitudes
Vanessa Baltazar Sibug, Maria Anna David Cruz, Vicky Pineda Vital, Juvy Cruz Grume, Almer Balingit Gamboa, Emerson Quiambao Fernando, Lloyd David Feliciano, Jordan Lansang Salenga, John Paul Palo Miranda. (05/2026). arXiv. https://arxiv.org/abs/2605.00343v1
The Impact Of Coercive, Normative, And Mimetic Stress On Chinese Teachers'Continuance Intention To Use Generative AI: An Integrated Perspective Of The Expectation-Confirmation Model And Institutional Theory
Kunjie Jia, Kai Cui, Huimin He, Yiran Du. (05/2026). arXiv. https://arxiv.org/abs/2605.00522v1
Pedagogical Promise And Peril Of AI: A Text Mining Analysis Of ChatGPT Research Discussions In Programming Education
Juvy C. Grume, John Paul P. Miranda, Aileen P. De Leon, Jordan L. Salenga, Hilene E. Hernandez, Mark Anthony A. Castro, Vernon Grace M. Maniago, Joel D. Canlas, Joel B. Quiambao. (05/2026). arXiv. https://arxiv.org/abs/2605.00361v1
Math Education Digital Shadows For Facilitating Learning With LLMs: Math Performance, Anxiety And Confidence In Simulated Students And Ais
Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, and Massimo Stella. (04/2026). arXiv. https://arxiv.org/abs/2604.27618v1
What Don'T You Understand? Using Large Language Models To Identify And Characterize Student Misconceptions About Challenging Topics
Michael J. Parker, María G. Zavala-Cerna. (04/2026). arXiv. https://arxiv.org/abs/2605.00294v1
Exploring The Adoption Intention In Using AI-Enabled Educational Tools Among Preservice Teachers In The Philippines: A Partial-Least Square Modeling
Vanessa Baltazar Sibug, Emerson Quiambao Fernando, Almer Balingit Gamboa, Roque Francis Badajos Dianelo, Agnes Romero Regala, Joseph Alexander Bansil, Jan Henry Beltran Sunga, Vernon Grace Magat Maniago, John Paul Palo Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27346v1
From Test-Taking To Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark For LLMs On English Standardized Tests
Luoxi Tang, Tharunya Sundar, Yuqiao Meng, Shuai Yang, Ankita Patra, Lakshmi Manohar Chippada, Jiqian Zhao, Yi Li, Weicheng Ma, Zhaohan Xi. (04/2026). arXiv. https://arxiv.org/abs/2505.17056v2
Human-In-The-Loop Benchmarking Of Heterogeneous LLMs For Automated Competency Assessment In Secondary Level Mathematics
Jatin Bhusal, Nancy Mahatha, Aayush Acharya, Raunak Regmi. (04/2026). arXiv. https://arxiv.org/abs/2604.26607v1
Unpacking Vibe Coding: Help-Seeking Processes In Student-AI Interactions While Programming
Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles L‚àö‚â•pez-Pernas, Mohammed Saqr, Marcus Specht, and Kamila Misiejuk. (04/2026). arXiv. https://arxiv.org/abs/2604.27134v1
Curiosity And Metacognition: Towards A Unified Framework For Learning And Education In The Age Of AI
Chloé Desvaux, Rania Abdelghani, Pierre-Yves Oudeyer, Hélène Sauzéon. (04/2026). arXiv. https://arxiv.org/abs/2604.25648v1
Tutor, Not Solver: Designing A Guardrailed AI Assistant For Learning In Higher Education: A Design Case Of Petechat
Belle Li, Lily Tan, Wei Zakharov, Qiang Qiu, Colby Ben Acton. (04/2026). arXiv. https://arxiv.org/abs/2606.09845v1
Arguagent: AI-Supported Real-Time Grouping For Productive Argumentation In STEM Classrooms
Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai. (04/2026). arXiv. https://arxiv.org/abs/2604.23449v1
Al-Assisted Code Review As A Scaffold For Code Quality And Self-Regulated Learning: An Experience Report
Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles L‚àö‚â•pez-Pernas, Mohammed Saqr. (04/2026). arXiv. https://arxiv.org/abs/2604.23251v1
Perceptions And Utilization Of Genai Tools Among Data Science Students And Faculty
ABEER M. HASAN, SAYED A. MOSTAFA. (04/2026). arXiv. https://arxiv.org/abs/2604.22998v1
Mathematical Modelling Of Ethical AI Use In Higher Education: A Coordination Game Framework For Future-Facing Learning
Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb, The Anh Han. (04/2026). arXiv. https://arxiv.org/abs/2605.27400v1
Autonomous LLM-Generated Feedback For Student Exercises In Introductory Software Engineering Courses
Andreas Metzger. (04/2026). arXiv. https://arxiv.org/abs/2604.20803v1
Heterogeneous Interaction Network Analysis (Hina): A New Learning Analytics Approach For Modelling, Analyzing, And Visualizing Complex Interactions In Learning Processes
Shihui Feng, Baiyue He, Dragan Gasevic, Alec Kirkley. (04/2026). arXiv. https://arxiv.org/abs/2601.06771v2
Hint-Writing With Deferred AI Assistance: Fostering Critical Engagement In Data Science Education
Anjali Singh, Christopher Brooks, Warren Li, Juho Kim, Xu Wang. (04/2026). arXiv. https://arxiv.org/abs/2604.19931v1
Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
Michael Hardy, Yunsung Kim. (04/2026). arXiv. https://arxiv.org/abs/2603.00883
Who Decides In AI-Mediated Learning? The Agency Allocation Framework
Conrad Borchers, Olga Viberg, Rene F. Kizilcec. (04/2026). arXiv. https://arxiv.org/abs/2604.13534v1
Assessing The Impact And Underlying Pathways Of Sequenced AI Feedback On Student Learning
Jie Cao, Chloe Qianhui Zhao, Christian Schunn, Elizabeth A. McLaughlin, Jionghao Lin, Kenneth R. Koedinger. (04/2026). arXiv. https://arxiv.org/abs/2604.07469v2
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges
Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv. https://arxiv.org/abs/2604.11111v1
