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題名 Coding peekaboom: a gaming mechanism for harvesting programming concepts
作者 簡士鎰;林怡伶
Chien, Shih-Yi;Lin, Yi-Ling
Su, Wei-Cheng;Hsiao, Sharon Ihan
貢獻者 資管系
關鍵詞 Programming concepts; EEG; Flow theory; Gamification; Engagement
日期 2023-04
上傳時間 31-Jan-2023 16:33:15 (UTC+8)
摘要 There are plentiful online programming resources that enable learners to develop an understanding of conceptual knowledge and practical implementation. However, learners, especially novices, often experience difficulties locating the required information to solve the programming problems. Differ from natural language in syntax and convention, answers for programming languages may not be found just by simple text information retrieval. To address this issue, Coding Peekaboom, a game-based tagging was developed to help adequately index the critical concepts of a code segment. An EEG device was applied to measure participants’ mental states to identify their engagement during the gameplay. Study results include the effectiveness of appropriate concepts collected by participants whereas 47.15 concepts were collected on average in a game. The brainwave analysis and the questionnaire results reveal that participants were highly engaged in the tagging task via Coding Peekaboom. Correlations were found between the state of flow and the number of concepts selected, score, and time. Finally, the results of the flow theory and personal traits were reported to reflect the user experiences in the game.
關聯 Education and Information Technologies, 28, 3765–3785
資料類型 article
DOI https://doi.org/10.1007/s10639-022-11337-5
dc.contributor 資管系-
dc.creator (作者) 簡士鎰;林怡伶-
dc.creator (作者) Chien, Shih-Yi;Lin, Yi-Ling-
dc.creator (作者) Su, Wei-Cheng;Hsiao, Sharon Ihan-
dc.date (日期) 2023-04-
dc.date.accessioned 31-Jan-2023 16:33:15 (UTC+8)-
dc.date.available 31-Jan-2023 16:33:15 (UTC+8)-
dc.date.issued (上傳時間) 31-Jan-2023 16:33:15 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/143134-
dc.description.abstract (摘要) There are plentiful online programming resources that enable learners to develop an understanding of conceptual knowledge and practical implementation. However, learners, especially novices, often experience difficulties locating the required information to solve the programming problems. Differ from natural language in syntax and convention, answers for programming languages may not be found just by simple text information retrieval. To address this issue, Coding Peekaboom, a game-based tagging was developed to help adequately index the critical concepts of a code segment. An EEG device was applied to measure participants’ mental states to identify their engagement during the gameplay. Study results include the effectiveness of appropriate concepts collected by participants whereas 47.15 concepts were collected on average in a game. The brainwave analysis and the questionnaire results reveal that participants were highly engaged in the tagging task via Coding Peekaboom. Correlations were found between the state of flow and the number of concepts selected, score, and time. Finally, the results of the flow theory and personal traits were reported to reflect the user experiences in the game.-
dc.format.extent 106 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Education and Information Technologies, 28, 3765–3785-
dc.subject (關鍵詞) Programming concepts; EEG; Flow theory; Gamification; Engagement-
dc.title (題名) Coding peekaboom: a gaming mechanism for harvesting programming concepts-
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1007/s10639-022-11337-5-
dc.doi.uri (DOI) https://doi.org/10.1007/s10639-022-11337-5-