An Integrated LDA-QFD Approach for Improving Online Course Quality Based on Learners' Reviews

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Detalles Bibliográficos
Publicado en:	International Journal of Distance Education Technologies vol. 23, no. 1 (2025), p. 1-25
Autor principal:	Wang, Rui
Otros Autores:	Ling, Haili, Chen, Jie, Fu, Huijuan
Publicado:	IGI Global
Materias:	Teaching Standards Quality management Students Science Data mining Distance learning Instructional design Quality improvement Online instruction Attributes Quality function deployment Education Internet Teachers Educational activities Deployment Feedback Research methodology Curriculum development Video recordings Quality of service Literature reviews Schedules Sustainable Development Educational Research Course Selection (Students) Educational Objectives Online Courses MOOCs Course Content Distance Education Influence of Technology Learning Processes Educational Technology Periodicals Instructional Materials Educational Change Correlation Electronic Learning Expectation Computer Software Reviews Total Quality Management Lifelong Learning College Science Design Requirements
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Descripción
Resumen:	This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the benchmarking object to identify the key quality attributes expected from massive open online courses (MOOCs), the findings reveal that course video, exercise, teaching schedule, and presentation of course material are pivotal factors in the enhancement of online course quality. Among these, presentation of course material and teaching schedule are identified as priority factors of quality improvement, whereas course video and exercise are recognized as supplementary factors. The findings of this research provide effective guidance for MOOC educators to improve course quality.
ISSN:	1539-3100 1539-3119
DOI:	10.4018/IJDET.371203
Fuente:	ABI/INFORM Global