PMID- 36718426 OWN - NLM STAT- Publisher LR - 20240216 IS - 1360-2357 (Print) IS - 1573-7608 (Electronic) IS - 1360-2357 (Linking) DP - 2023 Jan 26 TI - A multi-criteria decision-making (MCDM) approach for data-driven distance learning recommendations. PG - 1-38 LID - 10.1007/s10639-023-11589-9 [doi] AB - Distance learning has been adopted as an alternative learning strategy to the face-to-face teaching methodology. It has been largely implemented by many governments worldwide due to the spread of the COVID-19 pandemic and the implication in enforcing lockdown and social distancing. In emergency situations distance learning is referred to as Emergency Remote Teaching (ERT). Due to this dynamic, sudden shift, and scaling demand in distance learning, many challenges have been accentuated. These include technological adoption, student commitments, parent involvement, and teacher extra burden management, changes in the organization methodology, in addition to government development of new guidelines and regulations to assess, manage, and control the outcomes of distance learning. The objective of this paper is to analyze the alternatives of distance learning and discuss how these alternatives reflect on student academic performance and retention in distance learning education. We first, examine how different stakeholders make use of distance learning to achieve the learning objectives. Then, we evaluate various alternatives and criteria that influence distance learning, we study the correlation between them and extract the best alternatives. The model we propose is a multi-criteria decision-making model that assigns various scores of weights to alternatives, then the best-scored alternative is passed through a recommendation model. Finally, our system proposes customized recommendations to students, and teachers which will lead to enhancing student academic performance. We believe that this study will serve the education system and provides valuable insights and understanding of the use of distance learning and its effectiveness. CI - (c) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. FAU - Alshamsi, Aysha Meshaal AU - Alshamsi AM AUID- ORCID: 0000-0002-3576-0582 AD - Department of Information Systems and Security, College of Information Technology, UAEU, Al-Ain, UAE. GRID: grid.43519.3a. ISNI: 0000 0001 2193 6666 FAU - El-Kassabi, Hadeel AU - El-Kassabi H AUID- ORCID: 0000-0002-7992-5748 AD - Department of Computer Science and Software Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC Canada. GRID: grid.410319.e. ISNI: 0000 0004 1936 8630 FAU - Serhani, Mohamed Adel AU - Serhani MA AUID- ORCID: 0000-0001-7001-3710 AD - Department of Information Systems and Security, College of Information Technology, UAEU, Al-Ain, UAE. GRID: grid.43519.3a. ISNI: 0000 0001 2193 6666 AD - Sharjah University, College of Computing and Informatics, Sharjah, UAE. GRID: grid.412789.1. ISNI: 0000 0004 4686 5317 FAU - Bouhaddioui, Chafik AU - Bouhaddioui C AUID- ORCID: 0000-0003-3549-1236 AD - Department of Analytics in the Digital Era, College of Business and Economics, UAEU, Al Ain, UAE. GRID: grid.43519.3a. ISNI: 0000 0001 2193 6666 LA - eng PT - Journal Article DEP - 20230126 PL - Netherlands TA - Educ Inf Technol (Dordr) JT - Education and information technologies JID - 101705199 PMC - PMC9878493 OTO - NOTNLM OT - AHP OT - COVID-19 OT - Distance learning OT - ERT OT - MCDM OT - Pandemic OT - WPM OT - WSM COIS- Conflict of interestsNot Applicable. EDAT- 2023/02/01 06:00 MHDA- 2023/02/01 06:00 PMCR- 2023/01/26 CRDT- 2023/01/31 01:51 PHST- 2022/09/12 00:00 [received] PHST- 2023/01/06 00:00 [accepted] PHST- 2023/01/31 01:51 [entrez] PHST- 2023/02/01 06:00 [pubmed] PHST- 2023/02/01 06:00 [medline] PHST- 2023/01/26 00:00 [pmc-release] AID - 11589 [pii] AID - 10.1007/s10639-023-11589-9 [doi] PST - aheadofprint SO - Educ Inf Technol (Dordr). 2023 Jan 26:1-38. doi: 10.1007/s10639-023-11589-9.