Intelligent predictive analytics for identifying students at risk of failure in moodle courses
Authors: Anagnostopoulos, Theodoros 
Salmon, Ioannis 
Xanthopoulos, Theodoros 
Kytagias, Christos 
Psaromiligkos, Ioannis (Yannis) 
Kytagias, Christos 
Georgakopoulos, Ioannis 
Publisher: Springer
Issue Date: 1-Jun-2020
Conference: 16th International Conference "Intelligent Tutoring Systems" (ITS 2020), 8-12 June 2020, Athens, Greece 
Book: Intelligent Tutoring Systems: Proceedings of the 16th International Conference, ITS 2020 
Series: Lecture Notes in Computer Science
Keywords: Intelligent predictive analytics, Learning design, Moodle, Students at risk
Abstract: 
Investigating the factors affecting students’ academic failure in online and/or blended courses by analyzing students’ learning behavior data gathered from Learning Management Systems (LMS) is a challenging area in intelligent learning analytics and education data mining area. It has been argued that the actual course design and the instructor’s intentions is critical to determine which variables ...
ISBN: 978-3-030-49663-0
ISSN: 1611-3349
0302-9743
DOI: 10.1007/978-3-030-49663-0_19
URI: https://uniwacris.uniwa.gr/handle/3000/1561
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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