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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 19 of 19
Where'S The Structure? A Systematic Literature Review Of Empirical Research On Human-AI Collaboration And Hybrid Intelligence For Learning
Luis P. Prieto, Juan I. Asensio-Pérez, María Jesús Rodríguez-Triana, Mohamed Saban, Yannis Dimitriadis. (05/2026). arXiv. https://arxiv.org/abs/2606.05222v1
Pacee: Parent-Centered AI Scaffolding For Emotion Education In Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (03/2026). arXiv. https://arxiv.org/abs/2511.14414v3
Beyond Accuracy: Towards A Robust Evaluation Methodology For AI Systems For Language Education
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (03/2026). arXiv. https://arxiv.org/abs/2603.20088v1
Pedaco-Gen: Scaffolding Pedagogical Agency In Human-AI Collaborative Video Authoring
Injun Baek, Yearim Kim, Nojun Kwak. (02/2026). arXiv. https://arxiv.org/pdf/2602.19623v1
Learning In Focus: Detecting Behavioral And Collaborative Engagement Using Vision Transformers
Sindhuja Penchala, Saketh Reddy Kontham, Prachi Bhattacharjee, Nima Mahmoodi, Daniel Fonseca, Sareh Karami, Mehdi Ghahremani, Andy D. Perkins, Shahram Rahimi, Noorbakhsh Amiri Golilarz. (12/2025). arXiv. https://arxiv.org/pdf/2508.15782v2
Sproutbench: A Benchmark For Safe And Ethical Large Language Models For Youth
Wenpeng Xing, Lanyi Wei, Haixiao Hu, Jingyi Yu, Rongchang Li, Mohan Li, Changting Lin, Meng Han. (12/2025). arXiv. https://arxiv.org/pdf/2508.11009v3
Kidspeak: A General Multi-Purpose LLM For Kids' Speech Recognition And Screening
Rohan Sharma, Dancheng Liu, Jingchen Sun, Shijie Zhou, Jiayu Qin, Jinjun Xiong, Changyou Chen. (12/2025). arXiv. https://arxiv.org/abs/2512.05994v1
Pacee: Supporting Children'S Personal Emotion Education Through Parent-Ai Collaboration
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (11/2025). arXiv. https://arxiv.org/abs/2511.14414v2
Quantum Annealing For Staff Scheduling In Educational Environments
Alessia Ciacco, Francesca Guerriero, Eneko Osaba. (10/2025). arXiv. http://arxiv.org/abs/2510.12278v1
A Meta-Analysis Of Llm Effects On Students Across Qualification, Socialisation, And Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv. http://arxiv.org/abs/2509.22725v2
Benchmarking the Pedagogical Knowledge of Large Language Models
Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, Mar’a JosŽ Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod. (07/2025). arXiv. http://arxiv.org/pdf/2506.18710v3
A Comprehensive Review on Generative AI for Education
Uday Mittal, Siva Sai, Vinay Chamola, Devika Sangwan. (09/2024). IEEE. https://ieeexplore.ieee.org/document/10695056
Large Language Models for Education: A Survey
Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu and Philip S. Yu. (05/2024). arXiv. http://arxiv.org/pdf/2405.13001v1
Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI
Gyeong-Geon Lee, Xiaoming Zhai. (05/2024). arXiv. https://arxiv.org/pdf/2405.07163
AI AND PERSONALIZED LEARNING: BRIDGING THE GAP WITH MODERN EDUCATIONAL GOALS
Kristjan-Julius Laak, Jaan Aru. (04/2024). arXiv. https://arxiv.org/pdf/2404.02798
Foundation Models in Augmentative and Alternative Communication: Opportunities and Challenges
Ambra Di Paola, Serena Muraro, Roberto Marinelli, Christian Pilato. (01/2024). arXiv. http://arxiv.org/pdf/2401.08866v1
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Kashif Ahmad, Waleed Iqbal, Ammar El-Hassan, Junaid Qadir, Driss Benhaddou, Moussa Ayyash, Ala Al-Fuqaha. (09/2023). IEEE. https://ieeexplore.ieee.org/document/10247566
Artificial Intelligence in Education: A Review
Lijia Chen, Pingping Chen, Zhijian Lin. (04/2020). IEEE. https://ieeexplore.ieee.org/document/9069875
