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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 541 - 570 of 795
Evaluating Gemini in an Arena for Learning
LearnLM Team, Google. (05/2025). arXiv. http://arxiv.org/pdf/2505.24477v1
Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments
Abhirup Chakravarty, Mark Brenchley, Trevor Breakspear, Ian Lewin, Yan Huang. (05/2025). arXiv. http://arxiv.org/pdf/2505.23315v1
A Human-Centric Approach to Explainable AI for Personalized Education
Vinitra Swamy. (05/2025). arXiv. http://arxiv.org/pdf/2505.22541v1
Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment
Dr Canh Thien Dang, Dr An Nguyen. (05/2025). arXiv. http://arxiv.org/pdf/2506.00050v1
RATAS: A Generative AI Framework for Explainable and Scalable Automated Answer Grading
Masoud Safilian, Amin Beheshti, Stephen Elbourn. (05/2025). arXiv. http://arxiv.org/pdf/2505.23818v1
LMCD: Language Models are Zeroshot Cognitive Diagnosis Learners
Yu He, Zihan Yao, Chentao Song, Tianyu Qi, Jun Liu, Ming Li, Qing Huang. (05/2025). arXiv. http://arxiv.org/pdf/2505.21239v1
Evaluating Software Plagiarism Detection in the Age of AI Automated Obfuscation and Lessons for Academic Integrity
Timur SaŸlam, Larissa Schmid. (05/2025). arXiv. http://arxiv.org/pdf/2505.20158v1
Automated evaluation of children's speech fluency for low-resource languages
Bowen Zhang, Nur Afiqah Abdul Latiff, Justin Kan, Rong Tong, Donny Soh, Xiaoxiao Miao, Ian McLoughlin. (05/2025). arXiv. http://arxiv.org/pdf/2505.19671v1
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal. (05/2025). arXiv. http://arxiv.org/pdf/2505.19173v1
A systematic review of AI-driven intelligent tutoring systems (ITS) in K-12 education
Angélique Létourneau, Marion Deslandes Martineau, Patrick Charland, John Alexander Karran, Jared Boasen, Pierre Majorique L√©ger. (05/2025). npj Science of Learning. https://www.nature.com/articles/s41539-025-00320-7
A qualitative systematic review on Al empowered self-regulated learning in higher education
Min Lan, Xiaofeng Zhou. (05/2025). npj Science of Learning. https://www.nature.com/articles/s41539-025-00319-0
Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence
Eduardo Araujo Oliveira, Madhavi Mohoni, Sonsoles L¬ópez-Pernas, Mohammed Saqr. (05/2025). arXiv. http://arxiv.org/pdf/2505.08828v1
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae, Yeil Jeong, Junbo Koh, Gyeonggeon Lee, Gunho Lee, Taekyung Ahn, Hyeoncheol Kim. (05/2025). arXiv. http://arxiv.org/pdf/2505.18467v1
Towards Robust Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning
Yanhao Jia, Xinyi Wu, Qinglin Zhang, Yiran Qin, Luwei Xiao, Shuai Zhao. (05/2025). arXiv. http://arxiv.org/pdf/2505.17050v1
Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use
Xinyi Lu, Aditya Mahesh, Zejia Shen, Mitchell Dudley, Larissa Sano, Xu Wang. (05/2025). arXiv. http://arxiv.org/pdf/2505.15596v1
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
Baraa Hikal, Mohamed Basem, Islam Oshallah, Ali Hamdi. (05/2025). arXiv. http://arxiv.org/pdf/2505.18549v1
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring
Jiamin Su, Yibo Yan, Zhuoran Gao, Han Zhang, Xiang Liu, Xuming Hu. (05/2025). arXiv. http://arxiv.org/pdf/2505.13965v1
SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions
Chloe Qianhui Zhao, Jie Cao, Eason Chen, Kenneth R. Koedinger, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.04584v1
From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation
Jie Cao, Chloe Qianhui Zhao, Xian Chen, Shuman Wang, Christian Schunn, Kenneth R. Koedinger, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.04869v1
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Yilei Wang, Wentao Zhang, Bin Cui. (05/2025). arXiv. http://arxiv.org/pdf/2505.07247v2
From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models
Yongan Yu, Alexandre Krantz, Nikki G. Lobczowski. (05/2025). arXiv. http://arxiv.org/pdf/2505.11899v1
When the prompting stops: exploring teachers' work around the educational frailties of generative AI tools
Neil Selwyn, Marita Ljungqvist, Anders Sonesson. (04/2025). Learning, Media and Technology. https://www.tandfonline.com/doi/full/10.1080/17439884.2025.2537959#abstract
Fostering Self-Directed Growth with Generative AI: Toward a New Learning Analytics Framework
Qianrun Mao. (04/2025). arXiv. https://arxiv.org/pdf/2504.20851v1
Evolution of AI in Education: Agentic Workflows
Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (04/2025). arXiv. https://arxiv.org/pdf/2504.20082v1
Multilingual Performance Biases of Large Language Models in Education
Vansh Gupta, Sankalan Pal Chowdhury, Vilem Zouhar, Donya Rooein, Mrinmaya Sachan. (04/2025). arXiv. https://arxiv.org/pdf/2504.17720v1
AI for Accessible Education: Personalized Audio-Based Learning for Blind Students
Crystal Yang, Paul Taele. (04/2025). arXiv. https://arxiv.org/pdf/2504.17117v1
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Danial Hooshyar, Gustav Sir, Yeongwook Yang, Eve Kikas, Raija Hamalainen, Tommi Karkkainen, Dragan Gasevic, Roger Azevedo. (04/2025). arXiv. https://arxiv.org/pdf/2504.16148v1
Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models
Kester Wong, Bin Wu, Sahan Bulathwela, Mutlu Cukurova. (04/2025). arXiv. https://arxiv.org/pdf/2504.15093v1
Assessing AI-Generated Questions' Alignment with Cognitive Frameworks in Educational Assessment
Antoun Yaacoub, Jerome Da-Rugna, Zainab Assaghir. (04/2025). arXiv. https://arxiv.org/pdf/2504.14232v1
