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Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 151 - 180 of 796
Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving
Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff. (04/2026). arXiv. https://arxiv.org/abs/2512.10785v2
Dialogue Act Patterns In Genai-Mediated L2 Oral Practice: A Sequential Analysis Of Learner-Chatbot Interactions
Liqun He, Shijun (Cindy) Chen, Mutlu Cukurova, Manolis Mavrikis. (04/2026). arXiv. https://arxiv.org/abs/2604.05702v1
Pedagogical Safety In Educational Reinforcement Learning: Formalizing And Detecting Reward Hacking In AI Tutoring Systems
Oluseyi Olukola, Nick Rahimi. (04/2026). arXiv. https://arxiv.org/abs/2604.04237v1
Same Feedback, Different Source: How AI Vs. Human Feedback Attribution And Credibility Shape Learner Behavior In Computing Education
Caitlin Morris, Pattie Maes. (04/2026). arXiv. https://arxiv.org/abs/2604.03075v1
Impact Of Multimodal And Conversational AI On Learning Outcomes And Experience
Karan Taneja, Anjali Singh, and Ashok K. Goel. (04/2026). arXiv. https://arxiv.org/abs/2604.02221v1
Evaluating A Data-Driven Redesign Process For Intelligent Tutoring Systems
Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho, Kenneth R. Koedinger, and Vincent Aleven. (03/2026). arXiv. https://arxiv.org/abs/2603.29094v1
Evaluating LLMs For Answering Student Questions In Introductory Programming Courses
Thomas Van Mullem, Bart Mesuere, Peter Dawyndt. (03/2026). arXiv. https://arxiv.org/abs/2603.28295v1
Teaching AI Interactively: A Case Study In Higher Education
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan. (03/2026). arXiv. https://arxiv.org/abs/2603.28679v1
Exploring Student Perception On Gen AI Adoption In Higher Education: A Descriptive Study
Harpreet Singh, Jaspreet Singh, Satwant Singh, Rupinder Singh, Shamim Ibne Shahid, Mohammad Hassan Tayarani Najaran. (03/2026). arXiv. https://arxiv.org/abs/2603.27777v1
Compounding Disadvantage: Auditing Intersectional Bias In LLM-Generated Explanations Across Indian And American STEM Education
Amogh Gupta, Niharika Patil, Sourojit Ghosh, Snehalkumar 'Neil' S. Gaikwad. (03/2026). arXiv. https://arxiv.org/abs/2601.14506v2
Shaping Credibility Judgments In Human-Genai Partnership Via Weaker LLMs: A Transactive Memory Perspective On AI Literacy
Md Touhidul Islam, Mahir Akgun, Syed Billah. (03/2026). arXiv. https://arxiv.org/abs/2603.26522v1
Learning To Program Alongside AI: Critical Thinking, AI Ethics, And Gendered Patterns Of German Secondary School Students
Isabella Graßl. (03/2026). arXiv. https://arxiv.org/abs/2603.24197v2
Artificial Intelligence In Secondary Education: Educational Affordances And Constraints Of ChatGPT-4O Use
Tryfon Sivenas, Panagiota Maragkaki. (03/2026). arXiv. https://arxiv.org/abs/2602.13717v2
"You Can Actually Do Something'': Shifts in High School Computer Science Teachers' Conceptions of AI/ML Systems and Algorithmic Justice
Daniel J. Noh, Deborah A. Fields, Yasmin B. Kafai, Danae Metaxa. (03/2026). arXiv. https://arxiv.org/abs/2602.16123v4
An Experimental Evaluation Of An AI-Powered Interactive Learning Platform
Courtney Heldreth, Diana Akrong, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Lidan Hackmon, Lior Belinsky, Abraham Ortiz Tapia, Lucy Tootill, Scott Siebert. (03/2026). arXiv. https://arxiv.org/abs/2509.18664v2
Exploring The Integration Of Extended Reality And Artificial Intelligence (AI) For Remote STEM Education And Assessment
Shadeeb Hossain, Neda Adib, Natalie Sommer. (03/2026). arXiv. https://arxiv.org/abs/2509.03812v2
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (03/2026). arXiv. https://arxiv.org/abs/2602.18469v2
Visual Or Textual: Effects Of Explanation Format And Personal Characteristics On The Perception Of Explanations In An Educational Recommender System
Qurat Ul Ain, Mohamed Amine Chatti, Nasim Yazdian Varjani, Farah Kamal, Astrid Rosenthal-von der Putten. (03/2026). arXiv. https://arxiv.org/abs/2603.25624v1
Evaluating Adaptive And Generative AI-Based Feedback And Recommendations In A Knowledge-Graph-Integrated Programming Learning System
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn, Takahiko Mendori. (03/2026). arXiv. https://arxiv.org/abs/2603.24940v1
Three Years With Classroom AI In Introductory Programming: Shifts In Student Awareness, Interaction, And Performance
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22672v1
Design Implications For Student And Educator Needs In AI-Supported Programming Learning Tools
Boxuan Ma, Yinjie Xie, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22673v1
Unpacking Interaction Profiles And Strategies In Human-AI Collaborative Problem Solving: A Cognitive Distribution And Regulation Perspective
Zhanxin Hao, Xiaobo Liu, Jiaxin Fan, Yun Long, Jifan Yu, Wenli Chen, Yu Zhang. (03/2026). arXiv. https://arxiv.org/abs/2603.21288v1
From School AI Readiness To Student AI Literacy: A National Multilevel Mediation Analysis Of Institutional Capacity And Teacher Capability
Xiu Guana, Mingmin Zhenga, Dragan Gascevic, Wenxin Guo, Yingqun Liua, Xibin Hana, Danijela Gasevic, Ruiling Mad, Qi Wua and Lixiang Yana,b. (03/2026). arXiv. https://arxiv.org/abs/2603.20056v1
Guide: Genai Units In Digital Design Education
Weihua Xiao, Jason Blocklove, Matthew DeLorenzo, Johann Knechtel, Ozgur Sinanoglu, Kanad Basu, Jeyavijayan Rajendran, Siddharth Garg, Ramesh Karri. (03/2026). arXiv. https://arxiv.org/abs/2603.17296v1
From Slides To Chatbots: Enhancing Large Language Models With University Course Materials
Tu Anh Dinh, Philipp Nicolas Schumacher, Jan Niehues. (03/2026). arXiv. https://arxiv.org/abs/2510.22272v2
Large Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv. https://arxiv.org/abs/2603.17773v1
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai
Dora Zhao, Hannah Cha, Michael J. Ryan, Angelina Wang, Rachel Baker-Ramos, Evyn-Bree Helekahi-Kaiwi, Rebecca Diego, Josiah Hester, Diyi Yang. (03/2026). arXiv. https://arxiv.org/abs/2603.16646v1
Effective Personalized AI Tutors Via Llm-Guided Reinforcement Learning
Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani. (03/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358
