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Descriptive – Product Development
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 594
A Theory-Guided LLM Pedagogical Agent For STEM+C Scaffolding Without Over-Reliance
Clayton Cohn, Surya Rayala, Siyuan Guo, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Ryan Li, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Ashwin T S, Meiyi Ma, Gautam Biswas. (05/2026). arXiv. https://arxiv.org/abs/2605.30539v1
Double-Edged Sword Or Sharp Tool? Designing And Evaluating Triadic LLM-Teacher Collaboration For K-12 Writing At Scale
Canran WANG, Yuwen Yang, Zhen Wang, Ming MA, Chentai Wang, Ding Yu, Keman Huang, Xiaoyong Du. (05/2026). arXiv. https://arxiv.org/abs/2605.30200v1
Soro: A Lightweight Foundation Model And Chatbot For Tajik
Stanislav Liashkov, Haitz S√°ez de Oc√°riz Borde, Azizjon Azimi, Khushbakht Shoymardonov, Shuhratjon Khalilbekov, Bonu Boboeva. (05/2026). arXiv. https://arxiv.org/abs/2605.27379v2
Generalizing A Highly Configurable Analytics Pipeline To Replicate And Support Educational Research Across Multiple Domains
Y. Bai, P. Thajchayapong, A. Goel. (05/2026). arXiv. https://arxiv.org/abs/2605.30303v1
Beyond AI Delegation: A Prompt Pattern Framework For Productive Struggle And Evaluative Judgement In Secure Coding Education
Philipp Haindl, Oliver Eigner, Peter Kieseberg. (05/2026). arXiv. https://arxiv.org/abs/2605.24447v1
Facet: Multi-Agent AI Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Muller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (05/2026). arXiv. https://arxiv.org/abs/2601.22788v4
A Taxonomy Of Metacognitive Learning Scenarios In Professional Contexts: Integrating Systems Theory With Empirical Constraints
David C Gibson, Mary Elizabeth Azukas, Meryem Yilmaz Soylu. (05/2026). arXiv. https://arxiv.org/abs/2605.24142v1
Towards an Evaluation Methodology for AI in Second Language Education: Lessons Learned from Developing L2-Bench
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (05/2026). arXiv. https://arxiv.org/abs/2603.20088v2
"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom
Caterina Fuligni, Daniel Dominguez Figaredo, Armanda Lewis, Julia Stoyanovich. (05/2026). arXiv. https://arxiv.org/abs/2503.02885v3
Gen-AI-Tecture: Using Generative AI To Support Architectural Students In Design Tasks
Timo Kapsalis. (05/2026). arXiv. https://arxiv.org/abs/2605.21361v1
Towards Socraticode: Designing A Generative AI-Based Programming Tutor For K-12 Students Through A 4-Week Participatory Design Study
Cassandra Lucas, Anshul Bihani, Rohini Kukka, Chun-Hua Tsai, Jaydeb Sarker, Mia Mohammad Imran. (05/2026). arXiv. https://arxiv.org/abs/2605.17857v1
Beyond Model Readiness: Institutional Readiness For AI Deployment In Public Systems
Erika Fille Legara, Elmo Domino Jose, Paula Joy Martinez. (05/2026). arXiv. https://arxiv.org/abs/2605.17203v1
Promptdecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions
Miina Koyama, Ruiwei Xiao, John Stamper. (05/2026). arXiv. https://arxiv.org/abs/2605.16605v1
Mapping AI Programs In The U.S: A Status Report From Early 2026 And An Analysis Of AI Majors And Minors
Felix Muzny, Carolyn Jones, Carter Ithier, Hasnain Sikora, Hrutika Harshadbhai Patel, Carla E. Brodley. (05/2026). arXiv. https://arxiv.org/abs/2606.12428v1
Sycophancy Is An Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
Enkelejda Kasneci, Gjergji Kasneci. (05/2026). arXiv. https://arxiv.org/abs/2605.14604v1
Agentic AI Ecosystems In Higher Education: A Perspective On AI Agents To Emerging Inclusive, Agentic Multi-Agent AI Framework For Learning, Teaching And Institutional Intelligence
Vidya K Sudarshan, Anushka Sisodia, Reshma A Ramachandra, Batra Sia, Josephine Chong Leng Leng. (05/2026). arXiv. https://arxiv.org/abs/2605.14266v1
Adesua: Development And Feasibility Study Of An AI Whatsapp Bot For Science Learning In West Africa
George Boateng, Evans Atompoya, Philemon Badu, Samuel John, Samuel Ansah, Patrick Agyeman-Budu, and Victor Kumbol. (05/2026). arXiv. https://arxiv.org/abs/2605.15376v1
Simulating Students Or Sycophantic Problem Solving? On Misconception Faithfulness Of LLM Simulators
Heejin Do, Shashank Sonkar, Mrinmaya Sachan. (05/2026). arXiv. https://arxiv.org/abs/2605.12748v1
An Explainable AI Assistant For Introductory Programming Education: Improving Feedback Reliability With Instructor-AI Collaboration
Muntasir Hoq, Griffin Pitts, Bradford Mott, Seung Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James Lester, and Bita Akram. (05/2026). arXiv. https://arxiv.org/abs/2606.12425v1
Roboblockly Studio: Conversational Block Programming With Embodied Robot Feedback For Computational Thinking
Leyi Li, Chenyu Du, Jiafei Sun, Erick Purwanto, Qing Zhang. (05/2026). arXiv. https://arxiv.org/abs/2605.12059v1
Dipser: A Dataset For In-Person Student Engagement Recognition In The Wild
Luis Marquez-Carpintero, Sergio Suescun-Ferrandiz, Carolina Lorenzo ‚àö√Ölvarez, Jorge Fernandez-Herrero, Diego Viejo, Rosabel Roig-Vila, Miguel Cazorla. (05/2026). arXiv. https://arxiv.org/abs/2502.20209v3
When Should Teachers Control AI Generation For Mathematics Visuals?
Zhengxu Li, Junling Wang, April Yi Wang. (05/2026). arXiv. https://arxiv.org/abs/2605.10672v1
Generative AI For Visualizing Highway Construction Hazards Through Synthetic Images And Temporal Sequences
Trevor Neece, Mason Smetana, and Lev Khazanovich. (05/2026). arXiv. https://arxiv.org/abs/2605.11276v1
Preparing Students For AI-Powered Materials Discovery: A Workflow-Aligned Framework For AI Literacy, Equity, And Scientific Judgment
Dongming Mei, Katherine Moore, Ben Sayler. (05/2026). arXiv. https://arxiv.org/abs/2605.09624v1
First, Do No Harm: AI Supervisor Scaffolds Novice Growth In Counselor Education
Chen Xu, Zhenyu Lyu, Tian Lan, Yang Yi, Yu Ji, Luyao Ji, Jian Shen, Zhihua Wang, Leyang Cui, Jieshuo Zhang, Xiaohua Wan, Qunxi Dong, Minqiang Yang, Juan Wang, Xiuling Liu, Bin Hu. (05/2026). arXiv. https://arxiv.org/abs/2508.09042v3
AI Expert Twin: Capturing Expert Cognition For Human-Centred, Practice-Based Learning
Annie Yuan, Xiaohua Chen, Kalina Yacef, Judy Kay. (05/2026). arXiv. https://arxiv.org/abs/2605.01401v2
Who Decides In AI-Mediated Learning?: The Agency Allocation Framework
Conrad Borchers, Olga Viberg, René F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2604.13534v2
