
Academic Journal
Q1Computers and Education: Artificial Intelligence
About Computers and Education: Artificial Intelligence
Computers and Education: Artificial Intelligence is a scholarly journal published by Elsevier B.V.. SCImago 2025 lists it in Q1, with an SJR of 7.083 and H-index of 86.
Coverage: 2020-2026. Research categories: Artificial Intelligence (Q1); Computer Science Applications (Q1); Education (Q1).
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Recent Research Articles
Latest publications matched automatically by ISSN.
Applying psychometric methods to distinguish between human and generative AI responses to multiple-choice assessments
Alona Strugatski, Giora Alexandron
2026-12 · DOI: 10.1016/j.caeai.2026.100668GenAI as a runaway object in higher education: A socio-cultural view on AI-influenced academic practice in mathematics
Dionysia Bakogianni, Yvonne Liljekvist, Phuong Bui
2026-12 · DOI: 10.1016/j.caeai.2026.100637From simulation to flight: Simulation-assisted drone learning with teacher-AI co-designed scaffolds for secondary students’ STEM knowledge and competencies
Richard Chung Yiu Yeung, Chi Ho Yeung, Daner Sun, Therese Keane et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100651A hybrid reasoning framework for artificial intelligence assessment rubric generation in human and automated contexts: Evidence from an undergraduate programming course
Pedro C. Mendonça, Filipe Quintal, Mário Figueiredo, Karolina Baras et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100663Balancing AI responsibility with privacy, safety, and utility: Unlearning in large language models for mathematics education
Chenglu Li, Gökhan Gülfidan, Yinqi Zhang-Kopf
2026-12 · DOI: 10.1016/j.caeai.2026.100642Creating an AI-powered platform for generating modelling problems: A case study on direct variation in secondary school mathematics
Chung Kwan Lo, Xiaowei Huang, Ho Wai Cheung, Tat Leung Yee et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100640ASTRA: A synthetic benchmark for trace-based evaluation of socially intelligent multi-agent tutoring and participation-balanced collaboration in introductory programming
Solomon Sunday Oyelere
2026-12 · DOI: 10.1016/j.caeai.2026.100633Personalized neural cognitive architecture search: AutoML-driven diagnostic model generation for heterogeneous learner profiles
Liyuan Jia, Ke Dong
2026-12 · DOI: 10.1016/j.caeai.2026.100620Fair and explainable educational recommendations with a hybrid Graph-GRU framework
Edmund Evangelista, Syed M.Salman Bukhari
2026-12 · DOI: 10.1016/j.caeai.2026.100643Comparing human and LLM ordered coding of qualitative data: How coding differences cascade through temporal analysis
Kamila Misiejuk, Sonsoles López-Pernas, Eduardo Araujo Oliveira, Brendan Eagan et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100649Artificial intelligence in vocational education and training: A systematic review of educational purposes, theoretical conceptualizations, and empirical effectiveness
Viola Deutscher, Herbert Thomann, Olga Zlatkin-Troitschanskaia, Ulrike Weyland et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100628Federated and explainable learning analytics for privacy-preserving academic risk modeling across heterogeneous educational institutions
William Villegas-Ch, Alexandra Maldonado Navarro, Jaime Govea, Joselin Garcia-Ortiz et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100629Conceptualizations of GenAI and students’ professionalization: Within the multi-layered environment of learning for higher education
Anselm Böhmer, Marcella Dillig, Daniel-Cosmin Andronache, Olga Beshlei et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100636Preferred scaffolding does not lead to better learning performance: Empirical evidence from AI-supported mathematical modelling
Wangda Zhu, Yin Yang, Yuqin Yang
2026-12 · DOI: 10.1016/j.caeai.2026.100669Emotion-aware classroom quality assessment leveraging IoT-based real-time student monitoring
Hai Nguyen, Hieu Dao, Hung Nguyen, Nam Vu et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100639Conversational AI as a catalyst for informal learning: An empirical large-scale study on LLM use in everyday learning
Nađa Terzimehić, Babette Bühler, Enkelejda Kasneci
2026-12 · DOI: 10.1016/j.caeai.2026.100634Enhancing domain adaptation of LLM via model composition in solving medical exam questions
Yicong Liang, Di Zou, Haoran Xie, Fu Lee Wang et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100638Generative AI (GenAI) as a mindtool that supports generative learning (GL)
Nada Dabbagh, Helen Fake
2026-12 · DOI: 10.1016/j.caeai.2026.100626Human-AI collaboration in higher education: Exploring the impact of technology expectations and distrust
Liana Razmerita, Xiaojiang Zheng, Jonathan P. Allen
2026-12 · DOI: 10.1016/j.caeai.2026.100625LLMs do not grade essays like humans
Jerin George Mathew, Sumayya Taher, Anindita Kundu, Denilson Barbosa et al.
2026-12 · DOI: 10.1016/j.caeai.2026.100666Reviews
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September 8, 2026 at 7:40 am
September 8, 2026