Abstract
Massive open online courses (MOOCs) offer valuable opportunities for freedom in learning; however, many learners face cognitive overload and conceptual and navigational disorientation. In this study, we used handouts to automatically build domain-specific knowledge maps for MOOCs. We considered handouts as conceptual models created by teachers, and we performed text mining to extract keywords from MOOC handouts. Each knowlege map is based on the structure of the handouts, each consisting of an outline, title, and content. The findings suggest that using handouts to build knowledge maps is feasible.
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Acknowledgement
This study is supported by the Ministry of Science and Technology (MOST) of Taiwan under grant numbers MOST-105-2511-S-007-002-MY3 and MOST-105-2634-F-007-001.
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Huang, NF. et al. (2018). On the Automatic Construction of Knowledge-Map from Handouts for MOOC Courses. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-63856-0_13
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DOI: https://doi.org/10.1007/978-3-319-63856-0_13
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