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Outcomes – Social Emotional
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 199
Reflection-Satisfaction Tradeoff: Investigating Impact Of Reflection On Student Engagement With AI-Generated Programming Hints
Heeryung Choia, Tung Phungb, Mengyan Wu, Adish Singlab, Christopher Brooksa. (08/2026). arXiv. https://arxiv.org/abs/2512.04630v2
Designing Needs- And Attention-Aware AI Learning Tools For Engineering Education: Insights From Psychological Outcomes
Kevin Zhongyang Shao, Denise Wilson, Yale Quan, Sep Makhsous. (07/2026). arXiv. https://arxiv.org/abs/2607.26338v1
Teaching AI Interactively: An Experience Report In Higher Education
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan. (07/2026). arXiv. https://arxiv.org/abs/2603.28679v2
Generative AI Can Harm Teaching
Alp Sungu, Benjamin Lira, Angela L. Duckworth. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7007339
Co-Designing Digital Humans For Online Learning: A Framework For Human-AI Pedagogical Integration
Xiaokang Leil, Ching Christie Pang, Yuyang Jiang, Xin Tong, and Pan Hui. (07/2026). arXiv. https://arxiv.org/abs/2601.17434v2
Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding For LLM Agents
Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas. (07/2026). arXiv. https://arxiv.org/abs/2602.01415v5
Knowledge-Based Design Requirements For Generative Social Robots In Higher Education
S. Vonschallen, D. Oberle, T. Schmiedel, F. Eyssel. (07/2026). arXiv. https://arxiv.org/abs/2602.12873v5
AIED's Unfinished Mission: Centering Agency And Motivation In The Age Of Effortless Bypass
H. Chad Lane. (07/2026). arXiv. https://arxiv.org/abs/2607.05557v1
Psychological Determinants Of Academic Integrity In The Use Of Generative AI In Higher Education
Ezgi Dagtekin, Ercan Erkalkan. (07/2026). arXiv. https://arxiv.org/abs/2608.14605v1
Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytelling
Nayoung Choi, Jiseung Hong, Peace Cyebukayire, Ikseon Choi and Jinho D. Choi. (06/2026). arXiv. https://arxiv.org/abs/2602.04109v2
Sycophantic AI makes human interaction feel more effortful and less satisfying over time
Lujain Ibrahim, Franziska Sofia Hafner, Myra Cheng, Cinoo Lee, Rebecca Anselmetti, Robb Willer, Luc Rocher, Diyi Yang. (06/2026). arXiv. https://arxiv.org/abs/2605.07912
Exploring How Agent Voice Accents Shape Human-AI Collaboration In K-12 Group Learning
Prerna Ravi, Carúmey Stevens, Ben Hurt, Brandon Hanks, Grace Lin, and Emma Anderson. (06/2026). arXiv. https://arxiv.org/abs/2606.12805v1
From Motion Signals To Insights: A Unified Framework For Student Behavior Analysis And Feedback In Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Zongyun Zhang, Ting Liu and Yuzhuo Fu. (06/2026). arXiv. https://arxiv.org/abs/2503.06525v2
Characterization And Effects Of Cs2 Learning With Genai, Visualization, And Human Support
Quinton Yong, Anthony Estey, Miguel Nacenta. (06/2026). arXiv. https://arxiv.org/abs/2606.02933v1
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
Access Timing As Scaffolding: A Reinforcement Learning Approach To Genai In Education
Janne Rotter, Pau Benazet i Montobbio, Davinia Hern√°ndez-Leo. (05/2026). arXiv. https://arxiv.org/abs/2605.15850v2
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
Faculty Orientations Shape Adoption Of AI In Research And Teaching
T. J. Atherton, I. Descamps, M. Webel, T. R. Holmes, C. L. Vizcarra, N. Sui, J. J. Foley IV. (05/2026). arXiv. https://arxiv.org/abs/2605.18140v1
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
Code Comprehension With Github Copilot: Performance Gains, Comprehension Trade-Offs, And Behavioral Predictors In Brownfield Programming
Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque, Christopher Hundhausen. (05/2026). arXiv. https://arxiv.org/abs/2511.02922v2
Can Providing Feedback On Gaze And Mental-Effort Synchrony Improve Pair Programming Performance?
Anahita Golrang, Kshitij Sharma. (05/2026). arXiv. https://arxiv.org/abs/2605.05836v1
Bibliometric Mapping Of AI-Supported Social Presence In Online Learning Environments: Trends, Collaboration, And Thematic Directions
Almer Balingit Gamboa, Erika Mamucud Pineda, Rhiziel Peña Manalese, Aileen Pobre De Leon, Vernon Grace Magat Maniago, Jan Henry Beltran Sunga, Agnes Romero Regala, Roque Francis Badajos Dianelo, John Paul Palo Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27344v1
Artificial Intelligence As A Real Game To Enlighten Science Education For Disabled Students In Rural New Mexico
Nelson Uloma Egondu, Gil R. Gallegos. (04/2026). arXiv. https://arxiv.org/abs/2606.00034v1
Tell Me Why: Designing An Explainable LLM-Based Dialogue System For Student Problem Behavior Diagnosis
Zhilin Fan, Deliang Wang, Penghe Chen, Yu Lu. (04/2026). arXiv. https://arxiv.org/abs/2604.22237v1
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
Relational AI In Education: Reciprocity, Participatory Design, And Indigenous Worldviews
Roberto Martinez-Maldonado, Vanessa Echeverria, Jenna Hawes, YJ Kim, Zara Maddigan, Mikaela Milesi, Todd Nelson, and Yi-Shan Tsai. (04/2026). arXiv. https://arxiv.org/abs/2604.19099v1
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
AI-Supported Data Analysis Boosts Student Motivation And Reduces Stress In Physics Education
Jannik Henze, Julia Lademann, Sebastian Becker-Genschow and Andre Bresges. (04/2026). arXiv. https://arxiv.org/abs/2412.20951v2

