{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T07:30:54Z","timestamp":1784446254138,"version":"3.55.0"},"reference-count":47,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>The integration of innovative data mining and decision-making techniques in the context of higher education is a bold initiative towards enhanced performance. Predictive and descriptive analytics add interesting insights for significant aspects the education. The purpose of this article is to summarize a novel approach for the adoption of artificial intelligence (AI) techniques towards forecasting of academic performance. The added value of applying AI techniques for advanced decision making in education is the realization that the scientific approach to standard problems in academia, like the enhancement of academic performance is feasible. For the purpose of this research the authors promote a research in Saudi Arabia. The vision of the Knowledge Society in the Kingdom of Saudi Arabia is a critical milestone towards digital transformation. The human capital and the integration of industry and academia has to be based on holistic approaches to skills and competencies management. One of the main objectives of an academic decision maker is to ensure that academic resources are adequately planned and that students are properly advised. To achieve such an objective, an extensive analysis of large volumes of data may be required. This research develops a decision support system (DSS) that is based on an artificial neural network (ANN) model that can be deployed for effective academic planning and advising. The system is based on evaluating academic metrics against academic performance for students. The model integrates inputs from relevant academic data sources into an autonomous ANN. A simulation of real data on an ANN is conducted to validate the system's accuracy. Moreover, an ANN is compared with different mathematical approaches. The system enables the quality assurance of planning, advising, and the monitoring of academic decisions. The overall contribution of this work is a novel approach to the deployment of Artificial Intelligent for advanced decision making in higher education. In future work this model is integrated with big data and analytics research for advanced visualizations<\/jats:p>","DOI":"10.4018\/ijswis.2020070105","type":"journal-article","created":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T09:35:36Z","timestamp":1591090536000},"page":"70-87","source":"Crossref","is-referenced-by-count":31,"title":["Advanced Learning Analytics in Academic Education"],"prefix":"10.4018","volume":"16","author":[{"given":"Ayman G.","family":"Fayoumi","sequence":"first","affiliation":[{"name":"Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amjad Fuad","family":"Hajjar","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, King Abdulaziz University, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJSWIS.2020070105-0","doi-asserted-by":"publisher","DOI":"10.1007\/s11528-017-0226-9"},{"key":"IJSWIS.2020070105-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2019.01.007"},{"key":"IJSWIS.2020070105-2","doi-asserted-by":"publisher","DOI":"10.1007\/s11423-012-9235-8"},{"key":"IJSWIS.2020070105-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.02.026"},{"key":"IJSWIS.2020070105-4","doi-asserted-by":"publisher","DOI":"10.1007\/s10755-018-9431-5"},{"key":"IJSWIS.2020070105-5","doi-asserted-by":"publisher","DOI":"10.1002\/he.20241"},{"key":"IJSWIS.2020070105-6","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018826107394"},{"issue":"2","key":"IJSWIS.2020070105-7","first-page":"273","article-title":"Learning analytics at low cost: At-risk student prediction with clicker data and systematic proactive interventions.","volume":"21","author":"S.Choi","year":"2018","journal-title":"Journal of Educational Technology & Society"},{"key":"IJSWIS.2020070105-8","first-page":"47","article-title":"Learning analytics for educational decision making.","author":"M.Conde","year":"2015","journal-title":"Computers in Human Behavior"},{"key":"IJSWIS.2020070105-9","doi-asserted-by":"publisher","DOI":"10.1111\/bjet.12230"},{"issue":"2","key":"IJSWIS.2020070105-10","first-page":"236","article-title":"An Academic Decision-System Based on Academic Performance Evaluation for Student and Program Assessment","volume":"18","author":"D.Deniz","year":"2002","journal-title":"International Journal of Engineering Education"},{"key":"IJSWIS.2020070105-11","doi-asserted-by":"publisher","DOI":"10.1007\/s11162-014-9339-6"},{"key":"IJSWIS.2020070105-12","doi-asserted-by":"publisher","DOI":"10.1080\/14783363.2016.1224083"},{"key":"IJSWIS.2020070105-13","doi-asserted-by":"publisher","DOI":"10.1002\/he.20244"},{"key":"IJSWIS.2020070105-14","author":"M.Gallacher","year":"2007","journal-title":"Predicting Academic Performance"},{"key":"IJSWIS.2020070105-15","doi-asserted-by":"publisher","DOI":"10.1007\/s10956-012-9416-6"},{"key":"IJSWIS.2020070105-16","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2015.10.002"},{"key":"IJSWIS.2020070105-17","doi-asserted-by":"publisher","DOI":"10.1109\/FIE.2006.322661"},{"key":"IJSWIS.2020070105-18","doi-asserted-by":"publisher","DOI":"10.1080\/08832329809601629"},{"key":"IJSWIS.2020070105-19","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2017.05.003"},{"key":"IJSWIS.2020070105-20","unstructured":"Howard, P. (2009). Modelling Basics. Retrieved from http:\/\/www.math.tamu.edu\/~phoward\/m442\/modbasics.pdf"},{"key":"IJSWIS.2020070105-21","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.07.021"},{"issue":"3","key":"IJSWIS.2020070105-22","article-title":"Predicting Persistence and Academic Performance of First Year Students: An Assessment of Emotional Intelligence and Non-Cognitive Variables","volume":"12","author":"A.Jaeger","year":"1993","journal-title":"Higher Education Research & Development"},{"key":"IJSWIS.2020070105-23","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2017.02.001"},{"key":"IJSWIS.2020070105-24","doi-asserted-by":"publisher","DOI":"10.1002\/aehe.20121"},{"issue":"2","key":"IJSWIS.2020070105-25","first-page":"205","article-title":"A learning analytics approach to investigating factors affecting EFL students\u2019 oral performance in a flipped classroom.","volume":"21","author":"C.Lin","year":"2018","journal-title":"Journal of Educational Technology & Society"},{"key":"IJSWIS.2020070105-26","unstructured":"Luuk, A., & Luuk, K. (2008). Predicting students\u2019 academic performance in Aviation College from their admission test results. In Proc. 28th European Conf. on the Association for Aviation Psychology. Academic Press."},{"key":"IJSWIS.2020070105-27","doi-asserted-by":"publisher","DOI":"10.1080\/0144929X.2018.1512940"},{"key":"IJSWIS.2020070105-28","doi-asserted-by":"publisher","DOI":"10.1080\/0144929X.2018.1512940"},{"key":"IJSWIS.2020070105-29","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2015.06.004"},{"key":"IJSWIS.2020070105-30","doi-asserted-by":"publisher","DOI":"10.4018\/IJSWIS.2017010101"},{"key":"IJSWIS.2020070105-31","doi-asserted-by":"publisher","DOI":"10.1109\/TE.2007.893175"},{"key":"IJSWIS.2020070105-32","doi-asserted-by":"publisher","DOI":"10.1007\/s10755-016-9367-6"},{"key":"IJSWIS.2020070105-33","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2011.01.001"},{"key":"IJSWIS.2020070105-34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.04.024"},{"key":"IJSWIS.2020070105-35","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2015.12.002"},{"key":"IJSWIS.2020070105-36","doi-asserted-by":"publisher","DOI":"10.7553\/76-2-78"},{"key":"IJSWIS.2020070105-37","year":"2010"},{"issue":"1","key":"IJSWIS.2020070105-38","first-page":"86","article-title":"Big data transforms education research: Can machine learning unlock the keys to great teaching?","volume":"18","author":"M.Petrilli","year":"2018","journal-title":"Education Next"},{"key":"IJSWIS.2020070105-39","doi-asserted-by":"publisher","DOI":"10.1080\/02680513.2018.1486187"},{"key":"IJSWIS.2020070105-40","doi-asserted-by":"publisher","DOI":"10.1007\/s10961-016-9534-z"},{"key":"IJSWIS.2020070105-41","doi-asserted-by":"publisher","DOI":"10.1007\/s11423-016-9458-1"},{"key":"IJSWIS.2020070105-42","doi-asserted-by":"publisher","DOI":"10.1007\/s11948-011-9330-y"},{"key":"IJSWIS.2020070105-43","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1607582113"},{"key":"IJSWIS.2020070105-44","doi-asserted-by":"publisher","DOI":"10.1080\/14703297.2017.1380692"},{"issue":"6","key":"IJSWIS.2020070105-45","first-page":"1343","article-title":"Predicting Academic Performance in Engineering Using High School Exam Scores","volume":"27","author":"J.Winter","year":"2011","journal-title":"International Journal of Engineering Education"},{"key":"IJSWIS.2020070105-46","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2012.09.009"}],"container-title":["International Journal on Semantic Web and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=256547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T15:55:11Z","timestamp":1651766111000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSWIS.2020070105"}},"subtitle":["Academic Performance Forecasting Based on an Artificial Neural Network"],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":47,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.4018\/ijswis.2020070105","relation":{},"ISSN":["1552-6283","1552-6291"],"issn-type":[{"value":"1552-6283","type":"print"},{"value":"1552-6291","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7]]}}}