Abstract
This study aims to develop and evaluate a visualization function of CSCL that is based on social presence. This function automatically categorizes the postings from learners and visually presents social interaction following a social presence indicator. Furthermore, this function seems to enhance social presence and encourage learning behavior, such as active discussion. In order to investigate the validity of auto-categorization, the inter-rater agreement rate and the ability to predict the quality of the discussion were analyzed and compared to the human-categorized data. The results demonstrated that there are several social presence indicators that have high and low inter-rater agreement, but the categorization of the function developed in this study had more prediction power than the human-conducted categorization.
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This research is financially supported by Grant-in-Aids for Young Scientist A (25702008) and for Scientific Research (B) (16H03080)
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Yamada, M., Kaneko, K., Goda, Y. (2016). Social Presence Visualizer: Development of the Collaboration Facilitation Module on CSCL. In: Yoshino, T., Chen, GD., Zurita, G., Yuizono, T., Inoue, T., Baloian, N. (eds) Collaboration Technologies and Social Computing. CollabTech 2016. Communications in Computer and Information Science, vol 647. Springer, Singapore. https://doi.org/10.1007/978-981-10-2618-8_14
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DOI: https://doi.org/10.1007/978-981-10-2618-8_14
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