Examining the effect of time constraint on the online mastery learning approach towards improving postgraduate students' achievement
Datos Bibliográficos
| ID | 14690339 |
|---|---|
| Autores | Mong Shan Ee (0000-0001-8366-1098, Department of Finance, Deakin Business School, Deakin University, Geelong, VIC, Australia, autor de correspondencia), William Yeoh (0000-0002-2964-4518, Deakin University), Yee Ling Boo (0000-0001-7188-9597, RMIT University), Terry Boulter (RMIT University) |
| Año | 2018 |
| Volumen | 43 |
| Número | 2 |
| Páginas | 217-233 |
| Fecha de publicación | 2018-02-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Studies in Higher Education (JOURNAL) |
| Identificadores de la revista | ISSN: 0307-5079 • E-ISSN: 1470-174X |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03075079.2016.1161611 |
| OpenAlex | W2332451575 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 39 |
Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies – personalised system of instructions and learning for mastery (LFM) – by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate finance course offered at an Australian university, we explore students' online quiz-completion patterns, then empirically investigate whether the imposition of an instructional time constraint in the OML approach has an impact on their final-examination performance. Our results suggest that the LFM strategy with an instructional time constraint has a positive impact on students' learning behaviour and contributes to better overall academic performance. Further, our findings suggest that facilitators should be encouraged to implement an instructional time constraint when adopting an OML approach
Academic achievement · Higher education · Instructional design · Mastery Learning · Mathematics education · Multimedia · Online learning · Time constraint · Time management · Computer Science · Innovative Teaching and Learning Methods · Intelligent Tutoring Systems and Adaptive Learning · Mathematics · Online Learning and Analytics · Psychology · Artificial Intelligence
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| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 0,33 |
| Intervalo de citas | 2023 - 2023 (1) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |