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題名 Using the instant semantic analysis and feedback system for mining effective behavioural patterns to facilitate learning effectiveness of online discussion
作者 陳志銘
Chen, Chih-Ming
Chen, Chi-Tung;Tsai, Hsiao-Ting
貢獻者 圖檔所
關鍵詞 Instant semantic analysis and feedback system (ISAFS); distance education and online learning; teaching/learning strategies; learning environments; asynchronous online discussions
日期 2023-04
上傳時間 12-Jul-2023 11:34:43 (UTC+8)
摘要 This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners’ discussion behaviours during the ISAFS assisted learning process and to guide them in exhibiting more effective discussion behaviours in order to facilitate the learning effectiveness of online asynchronous discussions. The research participants were 55 eleventh-grade students from a senior high school in northeastern Taiwan. A single pre-experimental group design was adopted to collect the learning process data. Eventually, 34 effective samples were considered following the online discussions. The results showed that learners with distinct computer-mediated communication competences and personality traits have different behaviour patterns. Overall, the behavioural analyses reveal that different learning behaviours would result in distinct learning effectiveness, and that learners with different computer-mediated communication competences and personality traits would present various learning behaviours. Based on the research results, suggestions for the application of ISAFS in teaching and implications for future developments are proposed. The findings could be instrumental in the improvement of the teaching process through online discussions.
關聯 Interactive Learning Environments
資料類型 article
DOI https://doi.org/10.1080/10494820.2023.2197960
dc.contributor 圖檔所-
dc.creator (作者) 陳志銘-
dc.creator (作者) Chen, Chih-Ming-
dc.creator (作者) Chen, Chi-Tung;Tsai, Hsiao-Ting-
dc.date (日期) 2023-04-
dc.date.accessioned 12-Jul-2023 11:34:43 (UTC+8)-
dc.date.available 12-Jul-2023 11:34:43 (UTC+8)-
dc.date.issued (上傳時間) 12-Jul-2023 11:34:43 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/146044-
dc.description.abstract (摘要) This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners’ discussion behaviours during the ISAFS assisted learning process and to guide them in exhibiting more effective discussion behaviours in order to facilitate the learning effectiveness of online asynchronous discussions. The research participants were 55 eleventh-grade students from a senior high school in northeastern Taiwan. A single pre-experimental group design was adopted to collect the learning process data. Eventually, 34 effective samples were considered following the online discussions. The results showed that learners with distinct computer-mediated communication competences and personality traits have different behaviour patterns. Overall, the behavioural analyses reveal that different learning behaviours would result in distinct learning effectiveness, and that learners with different computer-mediated communication competences and personality traits would present various learning behaviours. Based on the research results, suggestions for the application of ISAFS in teaching and implications for future developments are proposed. The findings could be instrumental in the improvement of the teaching process through online discussions.-
dc.format.extent 109 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Interactive Learning Environments-
dc.subject (關鍵詞) Instant semantic analysis and feedback system (ISAFS); distance education and online learning; teaching/learning strategies; learning environments; asynchronous online discussions-
dc.title (題名) Using the instant semantic analysis and feedback system for mining effective behavioural patterns to facilitate learning effectiveness of online discussion-
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1080/10494820.2023.2197960-
dc.doi.uri (DOI) https://doi.org/10.1080/10494820.2023.2197960-