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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Practical early prediction of students’ performance using machine learning and eXplainable AI
Yeonju Jang, Seongyune Choi, Heeseok Jung, et al.
Education and Information Technologies (2022) Vol. 27, Iss. 9, pp. 12855-12889
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT
Teo Sušnjak
International Journal of Artificial Intelligence in Education (2023) Vol. 34, Iss. 2, pp. 452-482
Open Access | Times Cited: 44
Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge
Eloy López Menéses, Luis López-Catalán, Noelia Pelícano-Piris, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 772-772
Open Access | Times Cited: 2
Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human
Daniel J. Mathew, Deborah Ebem, Anayo Chukwu Ikegwu, et al.
Neural Processing Letters (2025) Vol. 57, Iss. 1
Open Access | Times Cited: 1
Personalized stem education empowered by artificial intelligence: a comprehensive review and content analysis
Daner Sun, Gary Cheng, Philip L. H. Yu, et al.
Interactive Learning Environments (2025), pp. 1-23
Closed Access | Times Cited: 1
Key Barriers to Personalized Learning in Times of Artificial Intelligence: A Literature Review
Gina Paola Barrera Castro, Andrés Chiappe, María Soledad, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3103-3103
Open Access | Times Cited: 1
Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI
Elena Tiukhova, Pavani Vemuri, Nidia López Flores, et al.
Decision Support Systems (2024) Vol. 182, pp. 114229-114229
Closed Access | Times Cited: 7
Prediction of Student Performance Using Random Forest Combined With Naïve Bayes
Youness Manzali, Yassine Akhiat, Khalidou Abdoulaye Barry, et al.
The Computer Journal (2024) Vol. 67, Iss. 8, pp. 2677-2689
Closed Access | Times Cited: 5
User‐Centered Evaluation of Explainable Artificial Intelligence (XAI): A Systematic Literature Review
Noor Al-Ansari, Dena Al-Thani, Reem S. Al-Mansoori
Human Behavior and Emerging Technologies (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 5
A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction
Zongwen Fan, Jin Gou, Shaoyuan Weng
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 5495-5507
Closed Access | Times Cited: 4
A survey of explainable knowledge tracing
Yanhong Bai, Jiabao Zhao, Tingjiang Wei, et al.
Applied Intelligence (2024) Vol. 54, Iss. 8, pp. 6483-6514
Closed Access | Times Cited: 4
Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study
Xiaojing Duan, Bo Pei, Gavin Ambrose, et al.
Education and Information Technologies (2023) Vol. 29, Iss. 3, pp. 3075-3096
Closed Access | Times Cited: 10
What are the differences between student and ChatGPT-generated pseudocode? Detecting AI-generated pseudocode in high school programming using explainable machine learning
Zifeng Liu, Wanli Xing, Xinyue Jiao, et al.
Education and Information Technologies (2025)
Closed Access
Utilising Explainable AI to Enhance Real‐Time Student Performance Prediction in Educational Serious Games
Manuel J. Marchena Gómez, Álvaro Armada Sánchez, Mariano Albaladejo‐González, et al.
Expert Systems (2025) Vol. 42, Iss. 3
Closed Access
Detecting AI-Generated Pseudocode in High School Online Programming Courses Using an Explainable Approach
Zifeng Liu, Xinyue Jiao, Wanli Xing, et al.
(2025), pp. 701-707
Closed Access
Explainable Artificial Intelligence Approach to Predict Student Entrepreneurial Competency
Priyanka C. Bhatt, Vinayak A. Drave, Yu-Chun Hsu, et al.
Communications in computer and information science (2025), pp. 99-113
Closed Access
Learning management system log analytics: the role of persistence and consistency of engagement behaviour on academic success
Tiong‐Thye Goh
Journal of Computers in Education (2025)
Open Access
Navigating the Future: Exploring AI Adoption in Chinese Higher Education Through the Lens of Diffusion Theory
Qiubo Huang, Pivithuru Janak Kumarasinghe, R.M.G.S Jayarathna
Interdisciplinary Journal of Information Knowledge and Management (2024) Vol. 19, pp. 009-009
Open Access | Times Cited: 3
Prediction of Students’ Adaptability Using Explainable AI in Educational Machine Learning Models
Leonard Chukwualuka Nnadi, Yutaka Watanobe, Md. Mostafizer Rahman, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5141-5141
Open Access | Times Cited: 3
Towards Trustworthy and Explainable AI Educational Systems
Wasswa Shafik
(2024), pp. 17-41
Closed Access | Times Cited: 3
Frontier Development and Insights of International Educational Science Research in the journals Nature and Science: a Systematic Literature Review over 40 Years
Qing Li, Jieyu Yue, Jianwen Sun, et al.
Science & Education (2024)
Closed Access | Times Cited: 2
Prediction of Students' Adaptability Using Explainable AI in Educational Machine Learning Models
Leonard Chukwualuka Nnadi, Yutaka Watanobe, Md. Mostafizer Rahman, et al.
(2024)
Open Access | Times Cited: 2
Utilizing Explainable AI to Enhance Real-time Student Performance Prediction in Educational Serious Games
Manuel J. Marchena Gómez, Álvaro Armada Sánchez, Mariano Albaladejo‐González, et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2024), pp. 93-94
Closed Access | Times Cited: 2
Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques
Miloš Ilić, G. Keković, Vladimir Mikić, et al.
IEEE Transactions on Learning Technologies (2024) Vol. 17, pp. 1931-1945
Closed Access | Times Cited: 2
Exploring factors influencing students’ intention to use intelligent personal assistants for learning
Seongyune Choi, Yeonju Jang, Hyeoncheol Kim
Interactive Learning Environments (2023) Vol. 32, Iss. 8, pp. 4049-4062
Closed Access | Times Cited: 6
An Explainable Machine Learning Approach to Predicting and Understanding Dropouts in MOOCs
Erkan Er
Kastamonu Eğitim Dergisi (2023) Vol. 31, Iss. 1, pp. 143-154
Open Access | Times Cited: 5
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