As institutions identify data driven initiatives to support online student performance and persistence, the Learning Management System (LMS) has the potential to reveal relationships within the data. This study attempted to demonstrate, through data mining techniques and survey results, predictive relationships between LMS activity and student performance. While additional work remains, the LMS activity and performance variables can be identified as potential starting points for institutions.
Sprache
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 220 mm
Breite: 150 mm
Dicke: 8 mm
Gewicht
ISBN-13
978-3-659-69562-9 (9783659695629)
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Schweitzer Klassifikation
Dr. Randy Stamm is the eLearning Coordinator for Idaho State University (ISU) with over 20 years of experience. He currently leads a team of instructional technologists with the main purpose of supporting faculty design online courses. Dr. Stamm championed the evaluation and implementation of ISU¿s learning management system (Moodle ISU).