{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,5]],"date-time":"2025-06-05T04:15:55Z","timestamp":1749096955767,"version":"3.41.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T00:00:00Z","timestamp":1748995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T00:00:00Z","timestamp":1748995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-025-04066-2","type":"journal-article","created":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T18:21:20Z","timestamp":1749061280000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting Student Satisfaction and Quality Management for Remote Learning in Southeast- Asia"],"prefix":"10.1007","volume":"6","author":[{"given":"Jiacheng","family":"Zhong","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,4]]},"reference":[{"issue":"1","key":"4066_CR1","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s10758-020-09446-6","volume":"26","author":"A Pu\u0161ka","year":"2021","unstructured":"Pu\u0161ka A, Pu\u0161ka E, Dragi\u0107 L, Maksimovi\u0107 A, Osmanovi\u0107 N. Students\u2019 satisfaction with E-learning platforms in Bosnia and Herzegovina. Technol Knowl Learn. 2021;26(1):173\u201391. https:\/\/doi.org\/10.1007\/s10758-020-09446-6.","journal-title":"Technol Knowl Learn"},{"issue":"1","key":"4066_CR2","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1186\/s41239-022-00342-w","volume":"19","author":"Z Turan","year":"2022","unstructured":"Turan Z, Kucuk S, Cilligol Karabey S. The university students\u2019 self-regulated effort, flexibility and satisfaction in distance education. Int J Educ Technol High Educ. 2022;19(1):35. https:\/\/doi.org\/10.1186\/s41239-022-00342-w.","journal-title":"Int J Educ Technol High Educ"},{"issue":"4","key":"4066_CR3","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1007\/s40692-021-00191-y","volume":"8","author":"G El-Sayad","year":"2021","unstructured":"El-Sayad G, Md Saad NH, Thurasamy R. How higher education students in Egypt perceived online learning engagement and satisfaction during the COVID-19 pandemic. J Comput Educ. 2021;8(4):527\u201350. https:\/\/doi.org\/10.1007\/s40692-021-00191-y.","journal-title":"J Comput Educ"},{"key":"4066_CR4","doi-asserted-by":"publisher","first-page":"100364","DOI":"10.1016\/j.jhlste.2021.100364","volume":"30","author":"E Agyeiwaah","year":"2022","unstructured":"Agyeiwaah E, Baiden FB, Gamor E, Hsu FC. Determining the attributes that influence students\u2019 online learning satisfaction during COVID-19 pandemic. J Hosp Leis Sport Tour Educ. 2022;30:100364. https:\/\/doi.org\/10.1016\/j.jhlste.2021.100364.","journal-title":"J Hosp Leis Sport Tour Educ"},{"issue":"5","key":"4066_CR5","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1007\/s10734-022-00874-0","volume":"85","author":"WH Wong","year":"2023","unstructured":"Wong WH, Chapman E. Student satisfaction and interaction in higher education. High Educ. 2023;85(5):957\u201378. https:\/\/doi.org\/10.1007\/s10734-022-00874-0.","journal-title":"High Educ"},{"issue":"8","key":"4066_CR6","doi-asserted-by":"publisher","first-page":"446","DOI":"10.3390\/educsci11080446","volume":"11","author":"JT Tsang","year":"2021","unstructured":"Tsang JT, So MK, Chong AC, Lam BS, Chu AM. Higher education during the pandemic: the predictive factors of learning effectiveness in COVID-19 online learning. Educ Sci. 2021;11(8):446. https:\/\/doi.org\/10.3390\/educsci11080446.","journal-title":"Educ Sci"},{"issue":"1","key":"4066_CR7","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/s40561-022-00197-8","volume":"9","author":"SINW Abdullah","year":"2022","unstructured":"Abdullah SINW, Arokiyasamy K, Goh SL, Culas AJ, Manaf NMA. University students\u2019 satisfaction and future outlook towards forced remote learning during a global pandemic. Smart Learn Environ. 2022;9(1):15. https:\/\/doi.org\/10.1186\/s40561-022-00197-8.","journal-title":"Smart Learn Environ"},{"issue":"6","key":"4066_CR8","doi-asserted-by":"publisher","first-page":"6651","DOI":"10.1007\/s10639-021-10454-x","volume":"26","author":"G Giray","year":"2021","unstructured":"Giray G. An assessment of student satisfaction with e-learning: An empirical study with computer and software engineering undergraduate students in Turkey under pandemic conditions. Educ Inf Technol. 2021;26(6):6651\u201373. https:\/\/doi.org\/10.1007\/s10639-021-10454-x.","journal-title":"Educ Inf Technol"},{"issue":"3","key":"4066_CR9","doi-asserted-by":"publisher","first-page":"2623","DOI":"10.1007\/s10639-020-10375-1","volume":"26","author":"YB Rajabalee","year":"2021","unstructured":"Rajabalee YB, Santally MI. Learner satisfaction, engagement and performances in an online module: Implications for institutional e-learning policy. Educ Inf Technol. 2021;26(3):2623\u201356. https:\/\/doi.org\/10.1007\/s10639-020-10375-1.","journal-title":"Educ Inf Technol"},{"key":"4066_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s10639-021-10519-x","author":"H Jiang","year":"2021","unstructured":"Jiang H, Islam AA, Gu X, Spector JM. Online learning satisfaction in higher education during the COVID-19 pandemic: a regional comparison between Eastern and Western Chinese universities. Educ Inf Technol. 2021. https:\/\/doi.org\/10.1007\/s10639-021-10519-x.","journal-title":"Educ Inf Technol"},{"issue":"4","key":"4066_CR11","doi-asserted-by":"publisher","first-page":"3789","DOI":"10.1007\/s10639-021-10431-4","volume":"26","author":"D Turnbull","year":"2021","unstructured":"Turnbull D, Chugh R, Luck J. Issues in learning management systems implementation: a comparison of research perspectives between Australia and China. Educ Inf Technol. 2021;26(4):3789\u2013810. https:\/\/doi.org\/10.1007\/s10639-021-10431-4.","journal-title":"Educ Inf Technol"},{"key":"4066_CR12","doi-asserted-by":"publisher","first-page":"104985","DOI":"10.1016\/j.nedt.2021.104985","volume":"104","author":"SL Chan","year":"2021","unstructured":"Chan SL, Lin CC, Chau PH, Takemura N, Fung JTC. Evaluating online learning engagement of nursing students. Nurse Educ Today. 2021;104:104985. https:\/\/doi.org\/10.1016\/j.nedt.2021.104985.","journal-title":"Nurse Educ Today"},{"issue":"12","key":"4066_CR13","doi-asserted-by":"publisher","first-page":"6734","DOI":"10.3390\/su13126734","volume":"13","author":"S Kim","year":"2021","unstructured":"Kim S, Kim DJ. Structural relationship of key factors for student satisfaction and achievement in asynchronous online learning. Sustainability. 2021;13(12):6734. https:\/\/doi.org\/10.3390\/su13126734.","journal-title":"Sustainability"},{"key":"4066_CR14","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1016\/j.profnurs.2021.10.005","volume":"38","author":"S Kim","year":"2022","unstructured":"Kim S, Jeong SH, Kim HS, Jeong YJ. Academic success of online learning in undergraduate nursing education programs in the COVID-19 pandemic era. J Prof Nurs. 2022;38:6\u201316. https:\/\/doi.org\/10.1016\/j.profnurs.2021.10.005.","journal-title":"J Prof Nurs"},{"issue":"5","key":"4066_CR15","doi-asserted-by":"publisher","first-page":"6233","DOI":"10.1007\/s10639-021-10871-y","volume":"27","author":"NP Calaguas","year":"2022","unstructured":"Calaguas NP, Consunji PMP. A structural equation model predicting adults\u2019 online learning self-efficacy. Educ Inf Technol. 2022;27(5):6233\u201349. https:\/\/doi.org\/10.1007\/s10639-021-10871-y.","journal-title":"Educ Inf Technol"},{"issue":"1","key":"4066_CR16","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1007\/s10639-021-10644-7","volume":"27","author":"MI Aldhahi","year":"2022","unstructured":"Aldhahi MI, Alqahtani AS, Baattaiah BA, Al-Mohammed HI. Exploring the relationship between students\u2019 learning satisfaction and self-efficacy during the emergency transition to remote learning amid the coronavirus pandemic: a cross-sectional study. Educ Inf Technol. 2022;27(1):1323\u201340. https:\/\/doi.org\/10.1007\/s10639-021-10644-7.","journal-title":"Educ Inf Technol"},{"issue":"10","key":"4066_CR17","doi-asserted-by":"publisher","first-page":"5813","DOI":"10.3390\/su14105813","volume":"14","author":"E Toklucu","year":"2022","unstructured":"Toklucu E, Silman F, Turan S, Atasoy R, Kalkan \u00dc. The effects of the crisis management skills and distance education practices of universities on student satisfaction and organizational image. Sustainability. 2022;14(10):5813. https:\/\/doi.org\/10.3390\/su14105813.","journal-title":"Sustainability"},{"issue":"3","key":"4066_CR18","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.apmrv.2022.12.002","volume":"28","author":"H Toring","year":"2023","unstructured":"Toring H, Legaspi G, Omolon J, Amadeo R, Amadeo E, Opolentisima Q, Cortes S. Evaluation of students\u2019 satisfaction toward an adopted learning management system at Indiana Aerospace University: a structural equation modelling approach. Asia Pac Manag Rev. 2023;28(3):336\u201346. https:\/\/doi.org\/10.1016\/j.apmrv.2022.12.002.","journal-title":"Asia Pac Manag Rev"},{"issue":"8","key":"4066_CR19","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.3390\/ejihpe12080079","volume":"12","author":"LA Mohammed","year":"2022","unstructured":"Mohammed LA, Aljaberi MA, Amidi A, Abdulsalam R, Lin CY, Hamat RA, Abdallah AM. Exploring factors affecting graduate students\u2019 satisfaction toward E-learning in the era of the COVID-19 crisis. Eur J Investig Health, Psychol Educ. 2022;12(8):1121\u201342. https:\/\/doi.org\/10.3390\/ejihpe12080079.","journal-title":"Eur J Investig Health, Psychol Educ"},{"issue":"11","key":"4066_CR20","doi-asserted-by":"publisher","first-page":"693","DOI":"10.3390\/educsci11110693","volume":"11","author":"I Kova\u010devi\u0107","year":"2021","unstructured":"Kova\u010devi\u0107 I, An\u0111elkovi\u0107 Labrovi\u0107 J, Petrovi\u0107 N, Ku\u017eet I. Recognizing predictors of students\u2019 emergency remote online learning satisfaction during COVID-19. Educ Sci. 2021;11(11):693. https:\/\/doi.org\/10.3390\/educsci11110693.","journal-title":"Educ Sci"},{"issue":"4","key":"4066_CR21","doi-asserted-by":"publisher","first-page":"3807","DOI":"10.1007\/s10639-023-11984-2","volume":"29","author":"Y Yal\u00e7\u0131n","year":"2024","unstructured":"Yal\u00e7\u0131n Y, Dennen VP. An investigation of the factors that influence online learners\u2019 satisfaction with the learning experience. Educ Inf Technol. 2024;29(4):3807\u201336.","journal-title":"Educ Inf Technol"},{"issue":"2","key":"4066_CR22","doi-asserted-by":"publisher","first-page":"100092","DOI":"10.1016\/j.jjimei.2022.100092","volume":"2","author":"YHS Al-Mamary","year":"2022","unstructured":"Al-Mamary YHS. Understanding the use of learning management systems by undergraduate university students using the UTAUT model: credible evidence from Saudi Arabia. Int J Inf Manag Data Insights. 2022;2(2):100092. https:\/\/doi.org\/10.1016\/j.jjimei.2022.100092.","journal-title":"Int J Inf Manag Data Insights"},{"key":"4066_CR23","doi-asserted-by":"publisher","first-page":"6286","DOI":"10.1109\/ACCESS.2022.3143035","volume":"10","author":"HE Abdelkader","year":"2022","unstructured":"Abdelkader HE, Gad AG, Abohany AA, Sorour SE. An efficient data mining technique for assessing satisfaction level with online learning for higher education students during the COVID-19. IEEE Access. 2022;10:6286\u2013303. https:\/\/doi.org\/10.1109\/ACCESS.2022.3143035.","journal-title":"IEEE Access"},{"issue":"3","key":"4066_CR24","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1007\/s00500-021-05932-w","volume":"27","author":"C Tan","year":"2023","unstructured":"Tan C, Lin J. A new QoE-based prediction model for evaluating virtual education systems with COVID-19 side effects using data mining. Soft Comput. 2023;27(3):1699\u2013713. https:\/\/doi.org\/10.1007\/s00500-021-05932-w.","journal-title":"Soft Comput"},{"issue":"7","key":"4066_CR25","doi-asserted-by":"publisher","first-page":"3130","DOI":"10.3390\/app11073130","volume":"11","author":"J Kabathova","year":"2021","unstructured":"Kabathova J, Drlik M. Towards predicting student\u2019s dropout in university courses using different machine learning techniques. Appl Sci. 2021;11(7):3130. https:\/\/doi.org\/10.3390\/app11073130.","journal-title":"Appl Sci"},{"issue":"3","key":"4066_CR26","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1007\/s10115-023-01995-3","volume":"66","author":"F Mumtaz","year":"2024","unstructured":"Mumtaz F, Jehangiri AI, Ishaq W, Ahmad Z, Alramli OI, Ala\u2019anzy MA, Ghoniem RM. Quality of interaction-based predictive model for support of online learning in pandemic situations. Knowl Inf Syst. 2024;66(3):1777\u2013805. https:\/\/doi.org\/10.1007\/s10115-023-01995-3.","journal-title":"Knowl Inf Syst"},{"issue":"8","key":"4066_CR27","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1080\/10494820.2020.1727529","volume":"30","author":"AA Mubarak","year":"2022","unstructured":"Mubarak AA, Cao H, Zhang W. Prediction of students\u2019 early dropout based on their interaction logs in online learning environment. Interact Learn Environ. 2022;30(8):1414\u201333. https:\/\/doi.org\/10.1080\/10494820.2020.1727529.","journal-title":"Interact Learn Environ"},{"issue":"6","key":"4066_CR28","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.3390\/app14062522","volume":"14","author":"Z Shou","year":"2024","unstructured":"Shou Z, Xie M, Mo J, Zhang H. Predicting student performance in online learning: a multidimensional time-series data analysis approach. Appl Sci. 2024;14(6):2522. https:\/\/doi.org\/10.3390\/app14062522.","journal-title":"Appl Sci"},{"issue":"9","key":"4066_CR29","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.3390\/math10091354","volume":"10","author":"SK Banbhrani","year":"2022","unstructured":"Banbhrani SK, Xu B, Lin H, Sajnani DK. Taylor-ChOA: Taylor-chimp optimized random multimodal deep learning-based sentiment classification model for course recommendation. Mathematics. 2022;10(9):1354. https:\/\/doi.org\/10.3390\/math10091354.","journal-title":"Mathematics"},{"issue":"1","key":"4066_CR30","doi-asserted-by":"publisher","first-page":"6","DOI":"10.3390\/bdcc6010006","volume":"6","author":"G Ramaswami","year":"2022","unstructured":"Ramaswami G, Susnjak T, Mathrani A. On developing generic models for predicting student outcomes in educational data mining. Big Data Cogn Comput. 2022;6(1):6. https:\/\/doi.org\/10.3390\/bdcc6010006.","journal-title":"Big Data Cogn Comput"},{"issue":"3","key":"4066_CR31","doi-asserted-by":"publisher","first-page":"2714","DOI":"10.3390\/su15032714","volume":"15","author":"R Asad","year":"2023","unstructured":"Asad R, Altaf S, Ahmad S, Shah Noor Mohamed A, Huda S, Iqbal S. Achieving personalized precision education using the catboost model during the COVID-19 lockdown period in Pakistan. Sustainability. 2023;15(3):2714. https:\/\/doi.org\/10.3390\/su15032714.","journal-title":"Sustainability"},{"key":"4066_CR32","doi-asserted-by":"publisher","first-page":"107271","DOI":"10.1016\/j.compeleceng.2021.107271","volume":"93","author":"AA Mubarak","year":"2021","unstructured":"Mubarak AA, Cao H, Hezam IM. Deep analytic model for student dropout prediction in massive open online courses. Comput Electr Eng. 2021;93:107271. https:\/\/doi.org\/10.1016\/j.compeleceng.2021.107271.","journal-title":"Comput Electr Eng"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04066-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-025-04066-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04066-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T18:21:21Z","timestamp":1749061281000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-025-04066-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,4]]},"references-count":32,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,6]]}},"alternative-id":["4066"],"URL":"https:\/\/doi.org\/10.1007\/s42979-025-04066-2","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,4]]},"assertion":[{"value":"1 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"523"}}