Systematic / scoping review

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 1 - 30 of 83 studies

Characterizing LLM-Based Family Education Through The Lens Of Activity Theory: A Scoping Review Of The Hci Literature

Lan Luo, Yuqi Liang, Jie Cai, Anqi Wang, Dongyijie Primo Pan, Muzhi Zhou, Chun Yu, Pan Hui. (09/2026). arXiv. https://arxiv.org/abs/2609.28886v1
Towards Synergistic Teacher-AI Interactions With Generative Artificial Intelligence

Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, Sahan Bulathwela. (09/2026). arXiv. https://arxiv.org/abs/2511.19580v2
The Policy Deficit In AI X Social-Emotional Learning Research

Tran Van Cuong, Liu Yihan, Nguyen Van Tuong. (08/2026). arXiv. https://arxiv.org/abs/2608.29950v1
Rethinking Generative AI Literacy: An Integrative, Developmental, And Dialectical Framework For K-12 Teacher Education

Shahin Hossain, Sima Ahmadi, Leqi Li, Idowu David Awoyemi, Wei Huang, Chenxi Zhou, Jujia Li, Samaa Haniya, Shapla Khanam, Tasbirun Mashreka Subaha. (08/2026). arXiv. https://arxiv.org/abs/2608.01705v1
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis

Jasper Roe, Mike Perkins. (07/2026). arXiv. https://arxiv.org/abs/2411.00631v2
A Survey Of Deep Learning For Geometry Problem Solving

Jianzhe Ma, Wenxuan Wang, Qin Jin. (06/2026). arXiv. https://arxiv.org/abs/2507.11936v6
Quantifying Perception-Based Student Success With Generative AI: An Exploratory Monte Carlo Simulation

Seyma Yaman Kayadibi. (06/2026). arXiv. https://arxiv.org/abs/2507.01062v4
Where'S The Structure? A Systematic Literature Review Of Empirical Research On Human-AI Collaboration And Hybrid Intelligence For Learning

Luis Pablo Prieto, Juan Ignacio Asensio-Pérez, María Jesús Rodríguez-Triana, Mohamed Saban, Yannis Dimitriadis. (05/2026). arXiv. https://arxiv.org/abs/2606.05222v1
A Scoping Review Of Large Language Model-Based Pedagogical Agents

Shan Li, Juan Zheng. (05/2026). arXiv. https://arxiv.org/abs/2604.12253v2
Who Decides In AI-Mediated Learning?: The Agency Allocation Framework

Conrad Borchers, Olga Viberg, Rene F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2604.13534v2
A Meta-Analysis Of The Effect Of Generative AI On Productivity And Learning In Programming

Sebastian Maier, Moritz Gunzenhäuser, Jonas Schweisthal, Manuel Schneider, Stefan Feuerriegel. (05/2026). arXiv. https://arxiv.org/abs/2605.04779v1
Bibliometric Mapping Of AI-Supported Social Presence In Online Learning Environments: Trends, Collaboration, And Thematic Directions

Almer Balingit Gamboa, Erika Mamucud Pineda, Rhiziel P. Manalese, Aileen Pobre De Leon, Vernon Grace M. Maniago, Jan Henry Beltran Sunga, Agnes Romero Regala, Roque Francis Badajos Dianelo, John Paul P. Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27344v1
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
Quantifying Student Success With Generative AI: A Monte Carlo Simulation Informed By Systematic Review

Seyma Yaman Kayadibi. (03/2026). arXiv. https://arxiv.org/abs/2507.01062v3
Survey Of Computerized Adaptive Testing: A Machine Learning Perspective

Yan Zhuang, Qi Liu, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen. (03/2026). arXiv. https://arxiv.org/abs/2404.00712v4
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches

Ying Dong. (03/2026). Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-026-06903-y
Autoscoring Anticlimax: A Meta-Analytic Understanding Of AI'S Short-Answer Shortcomings And Wording Weaknesses

Michael Hardy. (03/2026). arXiv. https://arxiv.org/pdf/2603.04820v1
Toward Youth-Centered Privacy-By-Design In Smart Devices: A Systematic Review

Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha. (02/2026). arXiv. https://arxiv.org/pdf/2601.11598v2
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems

Tobias Geisler, Gerd Kortemeyer. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Physics Education Under The Application Of Artificial Intelligence: Bibliometric Analysis Based On Web Of Science Core Library (2021-2025)

Chengtian Liang, Yike Qian, Yixuan Lin, Yu Wang. (02/2026). arXiv. https://arxiv.org/pdf/2603.03348v1
Beyond Single-Turn: A Survey On Multi-Turn Interactions With Large Language Models

Yubo Li, Xiaobin Shen, Xinyu Yaot, Xueying Ding, Yidi Miaot, Krishnan Ramayya, Rema Padman. (02/2026). arXiv. https://arxiv.org/pdf/2504.04717v5
Open Datasets In Learning Analytics: Trends, Challenges, And Best Practice

Valdemar Svábensky, Brendan Flanagan, Erwin López, Atsushi Shimada. (02/2026). arXiv. https://arxiv.org/pdf/2602.17314v1
Navigating The Ethical And Societal Impacts Of Generative Ai In Higher Computing Education

Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Beyond Input-Output: Rethinking Creativity Through Design-By-Analogy In Human-AI Collaboration

Xuechen Li, Shuai Zhang, Nan Cao, Qing Chen. (02/2026). arXiv. https://arxiv.org/pdf/2602.09423v1
Synthetic Media In Multilingual Moocs: Deepfake Tutors, Pedagogical Effects, And Ethical - Policy Challenges

Alexandros Gazis, Erietta Chamalidou, Nikolaos Ntaoulas, Theodoros Vavouras. (02/2026). arXiv. https://arxiv.org/pdf/2602.18457v1
Llm Agents For Education: Advances And Applications

Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen. (02/2026). arXiv. https://arxiv.org/pdf/2503.11733v2
Trustworthy Intelligent Education: A Systematic Perspective On Progress, Challenges, And Future Directions

Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2601.21837v1
A Comprehensive Exploration Of Personalized Learning In Smart Education: From Student Modeling To Personalized Recommendations

Siyu Wu, Yang Cao, Runze Li, Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang. (01/2026). arXiv. https://arxiv.org/pdf/2402.01666v2
Evolution Of Al In Education: Agentic Workflows

Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (01/2026). arXiv. https://arxiv.org/pdf/2504.20082v2
A Survey Of Self-Evolving Agents What, When, How, And Where To Evolve On The Path To Artificial Super Intelligence

Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang. (01/2026). arXiv. https://arxiv.org/pdf/2507.21046v4