Abstract
Society and learning change with the development of technology. In order to keep up the latest development of technology in education, this study focused on a remedial English e-learning course in a university. Hopefully, by using a chance building model, rare and important elements that are so called ‘chances’ would be acquired. The chance building model was based on the text mining, KeyGraph technology and Grounded theory to present visualized scenarios. The process of the grounded theory was applied in chance building model to detect the chances. The participants were graduate school students who took the e-learning course. A questionnaire is composed of the ARCS (attention, relevance, confidence, satisfaction) model and preference selection with material topics and types. The results indicated that abstract learning style and business school learner characteristic would be the factors to improve the course instruction. More studies in chance building model and in empirical experiment are needed.
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Hsu, CL. (2011). Remedial English e-Learning Study in Chance Building Model. In: Katarzyniak, R., Chiu, TF., Hong, CF., Nguyen, N.T. (eds) Semantic Methods for Knowledge Management and Communication. Studies in Computational Intelligence, vol 381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23418-7_16
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DOI: https://doi.org/10.1007/978-3-642-23418-7_16
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