{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T17:27:20Z","timestamp":1785346040745,"version":"3.55.0"},"reference-count":69,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T00:00:00Z","timestamp":1776816000000},"content-version":"vor","delay-in-days":233,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000774","name":"The University of Newcastle","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100000774","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Artificial Intelligence in Education"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s40593-024-00429-7","type":"journal-article","created":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T06:53:41Z","timestamp":1726728821000},"page":"1239-1287","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":25,"title":["An Extended Learning Analytics Framework Integrating Machine Learning and Pedagogical Approaches for Student Performance Prediction and Intervention"],"prefix":"10.1016","volume":"35","author":[{"given":"Khalid","family":"Alalawi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1422-0648","authenticated-orcid":false,"given":"Rukshan","family":"Athauda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raymond","family":"Chiong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"12","key":"10.1007\/s40593-024-00429-7_bib1","doi-asserted-by":"crossref","DOI":"10.1002\/eng2.12699","article-title":"Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review","volume":"5","author":"Alalawi","year":"2023","journal-title":"Engineering Reports"},{"key":"10.1007\/s40593-024-00429-7_bib2","doi-asserted-by":"crossref","unstructured":"Alalawi, Athauda, & Chiong. (2021a). An Innovative Framework to Improve Course and Student Outcomes. Paper presented at the 2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA).","DOI":"10.1109\/CITISIA53721.2021.9719985"},{"key":"10.1007\/s40593-024-00429-7_bib3","doi-asserted-by":"crossref","unstructured":"Alalawi, Chiong, & Athauda. (2021b). Early Detection of Under-Performing Students Using Machine Learning Algorithms. Paper presented at the CITISIA 2021 - IEEE Conference on Innovative Technologies in Intelligent System and Industrial Application, Proceedings.","DOI":"10.1109\/CITISIA53721.2021.9719896"},{"key":"10.1007\/s40593-024-00429-7_bib4","article-title":"Evaluating the student performance prediction and action framework through a learning analytics intervention study","author":"Alalawi","year":"2024","journal-title":"Education and Information Technologies"},{"key":"10.1007\/s40593-024-00429-7_bib5","series-title":"A taxonomy for learning, teaching, and assessing: A revision of Bloom\u2019s taxonomy of educational objectives","author":"Anderson","year":"2001"},{"key":"10.1007\/s40593-024-00429-7_bib6","doi-asserted-by":"crossref","unstructured":"Arnold, K.E., & Pistilli, M.D. (2012). Course signals at Purdue: using learning analytics to increase student success. Paper presented at the Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, Vancouver, British Columbia, Canada. https:\/\/doi.org\/10.1145\/2330601.2330666","DOI":"10.1145\/2330601.2330666"},{"issue":"3","key":"10.1007\/s40593-024-00429-7_bib7","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1080\/00273171.2011.568786","article-title":"An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies","volume":"46","author":"Austin","year":"2011","journal-title":"Multivariate Behavioral Research"},{"issue":"2","key":"10.1007\/s40593-024-00429-7_bib8","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1109\/TLT.2019.2912167","article-title":"An Early Feedback Prediction System for Learners At-Risk Within a First-Year Higher Education Course","volume":"12","author":"Baneres","year":"2019","journal-title":"IEEE Transactions on Learning Technologies"},{"issue":"13","key":"10.1007\/s40593-024-00429-7_bib9","doi-asserted-by":"crossref","first-page":"4427","DOI":"10.3390\/app10134427","article-title":"An early warning system to detect at-risk students in online higher education","volume":"10","author":"Baneres","year":"2020","journal-title":"Applied Sciences"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s41239-022-00371-5","article-title":"An early warning system to identify and intervene online dropout learners","volume":"20","author":"Baneres","year":"2023","journal-title":"International Journal of Educational Technology in Higher Education"},{"issue":"2","key":"10.1007\/s40593-024-00429-7_bib11","doi-asserted-by":"crossref","first-page":"316","DOI":"10.22266\/ijies2022.0430.29","article-title":"Genetically Optimized Ensemble Classifiers for Multiclass Student Performance Prediction","volume":"15","author":"Begum","year":"2022","journal-title":"International Journal of Intelligent Engineering and Systems"},{"key":"10.1007\/s40593-024-00429-7_bib12","article-title":"Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief","author":"Bienkowski","year":"2012","journal-title":"Office of Educational Technology, US Department of Education."},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib13","first-page":"5","article-title":"Constructive alignment in university teaching","volume":"1","author":"Biggs","year":"2014","journal-title":"HERDSA Review of Higher Education"},{"key":"10.1007\/s40593-024-00429-7_bib14","series-title":"Evaluating the quality of learning: The SOLO taxonomy (Structure of the Observed Learning Outcome)","author":"Biggs","year":"2014"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib15","first-page":"7","article-title":"Assessment and classroom learning","volume":"5","author":"Black","year":"1998","journal-title":"Assessment in Education: Principles, Policy & Practice"},{"key":"10.1007\/s40593-024-00429-7_bib16","doi-asserted-by":"crossref","first-page":"104412","DOI":"10.1016\/j.compedu.2021.104412","article-title":"Taking action to reduce dropout in MOOCs: Tested interventions","volume":"179","author":"Borrella","year":"2022","journal-title":"Computers & Education"},{"issue":"2","key":"10.1007\/s40593-024-00429-7_bib17","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1191\/1478088706qp063oa","article-title":"Using thematic analysis in psychology","volume":"3","author":"Braun","year":"2006","journal-title":"Qualitative Research in Psychology"},{"key":"10.1007\/s40593-024-00429-7_bib18","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.compeleceng.2017.03.005","article-title":"Data mining for modeling students\u2019 performance: A tutoring action plan to prevent academic dropout","volume":"66","author":"Burgos","year":"2018","journal-title":"Computers & Electrical Engineering"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib19","first-page":"23","article-title":"Dropout prediction and reduction in distance education courses with the learning analytics multitrail approach","volume":"21","author":"Cambruzzi","year":"2015","journal-title":"Journal of Universal Computer Science"},{"issue":"19","key":"10.1007\/s40593-024-00429-7_bib20","doi-asserted-by":"crossref","first-page":"3661","DOI":"10.1002\/sim.2832","article-title":"Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations","volume":"26","author":"Campbell","year":"2007","journal-title":"Statistics in Medicine"},{"issue":"2","key":"10.1007\/s40593-024-00429-7_bib21","first-page":"273","article-title":"Learning analytics at low cost: At-risk student prediction with clicker data and systematic proactive interventions","volume":"21","author":"Choi","year":"2018","journal-title":"Journal of Educational Technology & Society"},{"issue":"6","key":"10.1007\/s40593-024-00429-7_bib22","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1080\/13562517.2013.827653","article-title":"An overview of learning analytics","volume":"18","author":"Clow","year":"2013","journal-title":"Teaching in Higher Education"},{"key":"10.1007\/s40593-024-00429-7_bib23","doi-asserted-by":"crossref","unstructured":"Corrigan, O., Smeaton, A. F., Glynn, M., & Smyth, S. (2015). Using educational analytics to improve test performance. Paper presented at the Design for Teaching and Learning in a Networked World.","DOI":"10.1007\/978-3-319-24258-3_4"},{"key":"10.1007\/s40593-024-00429-7_bib24","doi-asserted-by":"crossref","unstructured":"Dawson, S., Jovanovi\u0107, J., Ga\u0161evi\u0107, D., & Pardo, A. (2017). From prediction to impact: Evaluation of a learning analytics retention program. Paper presented at the Proceedings of the seventh international learning analytics & knowledge conference.","DOI":"10.1145\/3027385.3027405"},{"key":"10.1007\/s40593-024-00429-7_bib25","doi-asserted-by":"crossref","unstructured":"Dodge, B., Whitmer, J., & Frazee, J. P. (2015). Improving undergraduate student achievement in large blended courses through data-driven interventions. Paper presented at the Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, Poughkeepsie, New York. https:\/\/doi.org\/10.1145\/2723576.2723657","DOI":"10.1145\/2723576.2723657"},{"issue":"2","key":"10.1007\/s40593-024-00429-7_bib26","doi-asserted-by":"crossref","first-page":"27","DOI":"10.12930\/0271-9517-8.2.27","article-title":"Intrusive Advising of Freshmen in Academic Difficulty","volume":"8","author":"Earl","year":"1988","journal-title":"NACADA Journal"},{"issue":"4","key":"10.1007\/s40593-024-00429-7_bib27","first-page":"3622","article-title":"Feature selection algorithms for predicting students academic performance using data mining techniques","volume":"9","author":"Enaro","year":"2020","journal-title":"International Journal of Scientific and Technology Research"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib28","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1177\/1521025118790054","article-title":"Hi, I Want to Talk to You About Your Progress: A Large Course Intervention for At-Risk College Students","volume":"23","author":"Espinoza","year":"2021","journal-title":"Journal of College Student Retention: Research, Theory & Practice"},{"key":"10.1007\/s40593-024-00429-7_bib29","unstructured":"Fang, B., & Shewmaker, J. (2016). The Case for Small Data in Higher Education. Paper presented at the Australasian Conference on Interactive Entertainment."},{"issue":"3","key":"10.1007\/s40593-024-00429-7_bib30","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1007\/s10639-015-9458-5","article-title":"Towards adaptive open learning environments: Evaluating the precision of identifying learning styles by tracking learners\u2019 behaviours","volume":"22","author":"Fasihuddin","year":"2017","journal-title":"Education and Information Technologies"},{"issue":"3","key":"10.1007\/s40593-024-00429-7_bib31","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1080\/02680513.2021.1971963","article-title":"Changing the recent past to reduce ongoing dropout: an early learning analytics intervention for an online statistics course","volume":"39","author":"Figueroa-Ca\u00f1as","year":"2021","journal-title":"Open Learning: The Journal of Open, Distance and e-Learning"},{"issue":"6","key":"10.1007\/s40593-024-00429-7_bib32","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1080\/02602938.2019.1696945","article-title":"A systematic review on the deployment and effectiveness of data analytics in higher education to improve student outcomes","volume":"45","author":"Foster","year":"2020","journal-title":"Assessment & Evaluation in Higher Education"},{"key":"10.1007\/s40593-024-00429-7_bib33","doi-asserted-by":"crossref","unstructured":"Gajwani, J., & Chakraborty, P. (2021). Students\u2019 Performance Prediction Using Feature Selection and Supervised Machine Learning Algorithms. Paper presented at the 3rd International Conference on Innovative Computing and Communication, ICICC 2020.","DOI":"10.1007\/978-981-15-5113-0_25"},{"key":"10.1007\/s40593-024-00429-7_bib34","doi-asserted-by":"crossref","unstructured":"Garg, S., Aleem, A., & Gore, M. M. (2021) Employing Deep Neural Network for Early Prediction of Students\u2019 Performance. In: Vol. 185 LNNS. Lecture Notes in Networks and Systems (pp. 497\u2013507).","DOI":"10.1007\/978-981-33-6081-5_44"},{"key":"10.1007\/s40593-024-00429-7_bib35","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.iheduc.2015.10.002","article-title":"Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success","volume":"28","author":"Ga\u0161evi\u0107","year":"2016","journal-title":"The Internet and Higher Education"},{"key":"10.1007\/s40593-024-00429-7_bib36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s41239-021-00271-0","article-title":"Experiences in the use of an adaptive intelligent system to enhance online learners\u2019 performance: A case study in Economics and Business courses","volume":"18","author":"Guerrero-Rold\u00e1n","year":"2021","journal-title":"International Journal of Educational Technology in Higher Education"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib37","doi-asserted-by":"crossref","first-page":"81","DOI":"10.3102\/003465430298487","article-title":"The power of feedback","volume":"77","author":"Hattie","year":"2007","journal-title":"Review of Educational Research"},{"issue":"10","key":"10.1007\/s40593-024-00429-7_bib38","doi-asserted-by":"crossref","first-page":"5706","DOI":"10.1109\/TNNLS.2021.3071311","article-title":"Prediction With Unpredictable Feature Evolution","volume":"33","author":"Hou","year":"2022","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib39","doi-asserted-by":"crossref","first-page":"6","DOI":"10.18608\/jla.2014.11.3","article-title":"Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative","volume":"1","author":"Jayaprakash","year":"2014","journal-title":"Journal of Learning Analytics"},{"key":"10.1007\/s40593-024-00429-7_bib40","first-page":"1","article-title":"The systematic process of motivational design","volume":"26","author":"KeIIer","year":"1987","journal-title":"Performance and Instruction"},{"key":"10.1007\/s40593-024-00429-7_bib41","unstructured":"Kolb, D. (1984). Experiential Learning: Experience As The Source Of Learning And Development (Vol. 1)."},{"key":"10.1007\/s40593-024-00429-7_bib42","doi-asserted-by":"crossref","unstructured":"Kovacic, Z. (2010). Early prediction of student success: Mining students\u2019 enrolment data. Paper presented at the Informing Science + Information Technology Education Joint Conference, Cassino, Italy.","DOI":"10.28945\/1281"},{"key":"10.1007\/s40593-024-00429-7_bib43","series-title":"Project-based learning","author":"Krajcik","year":"2006"},{"issue":"5","key":"10.1007\/s40593-024-00429-7_bib44","doi-asserted-by":"crossref","first-page":"2594","DOI":"10.1111\/bjet.12720","article-title":"The efficacy of learning analytics interventions in higher education: A systematic review","volume":"50","author":"LarrabeeS\u00f8nderlund","year":"2019","journal-title":"British Journal of Educational Technology"},{"issue":"5","key":"10.1007\/s40593-024-00429-7_bib45","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1007\/s11423-010-9177-y","article-title":"A review of online course dropout research: Implications for practice and future research","volume":"59","author":"Lee","year":"2011","journal-title":"Educational Technology Research and Development"},{"key":"10.1007\/s40593-024-00429-7_bib46","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.chb.2014.07.013","article-title":"Investigating student motivation in the context of a learning analytics intervention during a summer bridge program","volume":"47","author":"Lonn","year":"2015","journal-title":"Computers in Human Behavior"},{"key":"10.1007\/s40593-024-00429-7_bib47","series-title":"Learning Analytics","first-page":"78","article-title":"Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course","author":"Lu","year":"2018"},{"key":"10.1007\/s40593-024-00429-7_bib48","series-title":"Qualitative research methods for the social sciences","author":"Lune","year":"2021"},{"key":"10.1007\/s40593-024-00429-7_bib49","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1344\/der.2018.33.235-266","article-title":"Data mining techniques applied in educational environments: Literature review","volume":"33","author":"Manjarres","year":"2018","journal-title":"Digital Education Review"},{"key":"10.1007\/s40593-024-00429-7_bib50","first-page":"195","article-title":"Scaffolding learning in the classroom","volume":"186","author":"Maybin","year":"1992","journal-title":"Thinking Voices: The Work of the National Oracy Project"},{"key":"10.1007\/s40593-024-00429-7_bib51","first-page":"70","article-title":"Insight and Action Analytics: Three Case Studies to Consider","volume":"9","author":"Milliron","year":"2014","journal-title":"Research & Practice in Assessment"},{"issue":"2013","key":"10.1007\/s40593-024-00429-7_bib52","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.sbspro.2013.10.240","article-title":"Educational Data Mining: A Review","volume":"97","author":"Mohamad","year":"2013","journal-title":"Procedia - Social and Behavioral Sciences"},{"issue":"8","key":"10.1007\/s40593-024-00429-7_bib53","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1080\/10494820.2020.1727529","article-title":"Prediction of students\u2019 early dropout based on their interaction logs in online learning environment","volume":"30","author":"Mubarak","year":"2022","journal-title":"Interactive Learning Environments"},{"issue":"3","key":"10.1007\/s40593-024-00429-7_bib54","doi-asserted-by":"crossref","first-page":"235","DOI":"10.18608\/jla.2018.53.15","article-title":"OnTask: Delivering Data-Informed, Personalized Learning Support Actions","volume":"5","author":"Pardo","year":"2018","journal-title":"Journal of Learning Analytics"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib55","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.ijme.2015.11.003","article-title":"Improving students\u2019 performance in quantitative courses: The case of academic motivation and predictive analytics","volume":"14","author":"Rahal","year":"2016","journal-title":"The International Journal of Management Education"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib56","doi-asserted-by":"crossref","first-page":"235","DOI":"10.3390\/bdcc6010006","article-title":"On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining","volume":"6","author":"Ramaswami","year":"2022","journal-title":"Big Data and Cognitive Computing"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib57","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1214\/aos\/1176346391","article-title":"On Chi-Squared Tests for Multiway Contingency Tables with Cell Proportions Estimated from Survey Data","volume":"12","author":"Rao","year":"1984","journal-title":"The Annals of Statistics"},{"key":"10.1007\/s40593-024-00429-7_bib58","series-title":"Big Data and Learning Analytics in Higher Education: Current Theory and Practice","first-page":"147","article-title":"Implementing a Learning Analytics Intervention and Evaluation Framework: What Works?","author":"Rienties","year":"2017"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib59","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1093\/biomet\/70.1.41","article-title":"The central role of the propensity score in observational studies for causal effects","volume":"70","author":"Rosenbaum","year":"1983","journal-title":"Biometrika"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib60","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/TLT.2016.2599522","article-title":"Perceiving learning at a glance: A systematic literature review of learning dashboard research","volume":"10","author":"Schwendimann","year":"2016","journal-title":"IEEE Transactions on Learning Technologies"},{"key":"10.1007\/s40593-024-00429-7_bib61","series-title":"Learning analytics in higher education","author":"Sclater","year":"2016"},{"issue":"2","key":"10.1007\/s40593-024-00429-7_bib62","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.3390\/app13021143","article-title":"All-Year Dropout Prediction Modeling and Analysis for University Students","volume":"13","author":"Song","year":"2023","journal-title":"Applied Sciences"},{"issue":"3","key":"10.1007\/s40593-024-00429-7_bib63","first-page":"11","article-title":"Intrusive Advising","volume":"30","author":"Varney","year":"2007","journal-title":"Academic Advising Today"},{"issue":"3","key":"10.1007\/s40593-024-00429-7_bib64","first-page":"1","article-title":"Proactive (intrusive) advising","volume":"35","author":"Varney","year":"2012","journal-title":"Academic Advising Today"},{"key":"10.1007\/s40593-024-00429-7_bib65","series-title":"Mind in society: Development of higher psychological processes:","author":"Vygotsky","year":"1978"},{"issue":"13","key":"10.1007\/s40593-024-00429-7_bib66","doi-asserted-by":"crossref","first-page":"7654","DOI":"10.3390\/su14137654","article-title":"Learning performance prediction-based personalized feedback in online learning via machine learning","volume":"14","author":"Wang","year":"2022","journal-title":"Sustainability"},{"key":"10.1007\/s40593-024-00429-7_bib67","doi-asserted-by":"crossref","unstructured":"Wise, A. F. (2014). Designing pedagogical interventions to support student use of learning analytics. Paper presented at the LAK \u201914: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, Indianapolis, IN, USA.","DOI":"10.1145\/2567574.2567588"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib68","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s40692-019-00143-7","article-title":"A review of learning analytics intervention in higher education (2011\u20132018)","volume":"7","author":"Wong","year":"2020","journal-title":"Journal of Computers in Education"},{"issue":"1","key":"10.1007\/s40593-024-00429-7_bib69","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1108\/AAOUJ-01-2017-0009","article-title":"Learning analytics in higher education: An analysis of case studies","volume":"12","author":"Wong","year":"2017","journal-title":"Asian Association of Open Universities Journal"}],"container-title":["International Journal of Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40593-024-00429-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40593-024-00429-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1560429226001393?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1560429226001393?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40593-024-00429-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T06:53:10Z","timestamp":1779087190000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1560429226001393"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":69,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["S1560429226001393"],"URL":"https:\/\/doi.org\/10.1007\/s40593-024-00429-7","relation":{},"ISSN":["1560-4292"],"issn-type":[{"value":"1560-4292","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An Extended Learning Analytics Framework Integrating Machine Learning and Pedagogical Approaches for Student Performance Prediction and Intervention","name":"articletitle","label":"Article Title"},{"value":"International Journal of Artificial Intelligence in Education","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1007\/s40593-024-00429-7","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2024 The Author(s). Published by Elsevier Ltd","name":"copyright","label":"Copyright"}]}}