{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:29:51Z","timestamp":1743013791165,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031733178"},{"type":"electronic","value":"9783031733185"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-73318-5_22","type":"book-chapter","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T12:54:42Z","timestamp":1735217682000},"page":"220-230","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Personalized Learning Style System Based on Student Activity Segmentation in Learning Management System Using the Felder Silverman Model with Na\u00efve Bayes"],"prefix":"10.1007","author":[{"given":"Leo Willyanto","family":"Santoso","sequence":"first","affiliation":[]},{"family":"Yulia","sequence":"additional","affiliation":[]},{"given":"Bryan Fernando","family":"Liauwman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,27]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Santoso LW (2017) Data warehouse with big data technology for higher education. Procedia Comput Sci 124(1)","DOI":"10.1016\/j.procs.2017.12.134"},{"key":"22_CR2","doi-asserted-by":"publisher","unstructured":"Thapa DM, Shakya S (2023) Academic performance prediction based on internal assessment using educational data mining techniques: shifting the paradigm. In: Vasant P, Weber GW, Marmolejo-Saucedo JA, Munapo E, Thomas JJ (eds) Intelligent computing & optimization. ICO 2022. Lecture notes in networks and systems, vol 569. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-19958-5_49","DOI":"10.1007\/978-3-031-19958-5_49"},{"key":"22_CR3","unstructured":"Santoso LW (2014) Analysis of the impact of information technology investments\u2014a survey of Indonesian universities. ARPN JEAS (ISSN 1819-6608) 9(12)"},{"key":"22_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2022.100086","volume":"3","author":"T Ingkavara","year":"2022","unstructured":"Ingkavara T, Panjaburee P, Srisawasdi N, Sajjapanroj S (2022) The use of a personalized learning approach to implementing self-regulated online learning. Comput Educ Artif Intell 3:100086. https:\/\/doi.org\/10.1016\/j.caeai.2022.100086","journal-title":"Comput Educ Artif Intell"},{"key":"22_CR5","unstructured":"Santoso LW (2020) Adaptive educational resources framework for e-learning using rule-based system. The 4th international conference on information and communication technology for intelligent systems (ICTIS), Ahmedabad, India, 15\u201316 May 2020"},{"key":"22_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2022.100068","volume":"3","author":"A Bhutoria","year":"2022","unstructured":"Bhutoria A (2022) Personalized education and artificial intelligence in the United States, China, and India: a systematic review using a human-in-the-loop model. Comput Educ: Artif Intell 3:100068. https:\/\/doi.org\/10.1016\/j.caeai.2022.100068","journal-title":"Comput Educ: Artif Intell"},{"key":"22_CR7","doi-asserted-by":"publisher","unstructured":"Mothukuri UK, Reddy BV, Reddy PN, Gutti S, Mandula K, Parupalli R, Murty CHAS, Magesh E (2017) Improvisation of learning experience using learning analytics in eLearning. In: 2017 5th national conference on e-learning & e-learning technologies (ELELTECH). https:\/\/doi.org\/10.1109\/ELELTECH.2017.8074995","DOI":"10.1109\/ELELTECH.2017.8074995"},{"key":"22_CR8","doi-asserted-by":"publisher","unstructured":"Lwande C, Muchemi L, Oboko R (2021) Identifying learning styles and cognitive traits in a learning management system. Heliyon 7. https:\/\/doi.org\/10.1016\/j.heliyon.2021.e07701","DOI":"10.1016\/j.heliyon.2021.e07701"},{"key":"22_CR9","doi-asserted-by":"publisher","unstructured":"Syed T, Palade V, Iqbal R, Nair SSK (2017) A personalized learning recommendation system architecture for learning management system. In: 9th international conference on knowledge discovery and information retrieval, pp 275\u2013282. https:\/\/doi.org\/10.5220\/0006513202750282","DOI":"10.5220\/0006513202750282"},{"key":"22_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114774","volume":"174","author":"F Rasheed","year":"2021","unstructured":"Rasheed F, Wahid A (2021) Learning style detection in E-learning systems using machine learning techniques. Expert Syst Appl 174:114774. https:\/\/doi.org\/10.1016\/j.eswa.2021.114774","journal-title":"Expert Syst Appl"},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1016\/j.procs.2018.08.226","volume":"135","author":"SV Kolekar","year":"2018","unstructured":"Kolekar SV, Pai RM, Pai M (2018) Adaptive user interface for Moodle based e-learning system using learning styles. Procedia Comput Sci 135:606\u2013615. https:\/\/doi.org\/10.1016\/j.procs.2018.08.226","journal-title":"Procedia Comput Sci"},{"key":"22_CR12","doi-asserted-by":"publisher","unstructured":"Sianturi ST, Yuhana UL (2022) Student behaviour analysis to detect learning styles using decision tree, na\u00efve bayes, and K-nearest neighbor method in moodle learning management system. IPTEK J Technol Sci 33(2). https:\/\/doi.org\/10.12962\/j20882033.v33i2.13665","DOI":"10.12962\/j20882033.v33i2.13665"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing and Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73318-5_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T13:04:40Z","timestamp":1735218280000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73318-5_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031733178","9783031733185"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73318-5_22","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing & Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phnom Penh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ico2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icico.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}