국내외 협력학습분석학(Collaboarative Learning Analytics) 연구 동향에 대한 체계적 문헌고찰 = Systematic Literature Review of Research Trends in Collaborative Learning Analytics

다국어 초록 (Multilingual Abstract)

Collaborative learning analytics, which integrates collaborative learning and learning analytics to understand and support collaborative processes in Computer-Supported Collaborative Learning(CSCL), has emerged in recent years. This study aims to conduct a systematic literature review of publications from 2014 to April 2023 to analyze research trends in collaborative learning analytics. To achieve this goal, 60 documents were selected and examined in terms of the research objectives, research contexts, types of collected data, and analysis methods. The findings were aligned with CSCL constructs, collected data, and analysis methods, following the clicks-to-constructs approach. The results indicate an overall increasing trend in collaborative learning analytics research. The research objectives focused on behavior modeling, and the primary type of collected data was log data. The principle approach to data analysis involved a process-oriented analysis. An examination of the alignment between CSCL constructs, data, and methods revealed a high proportion of CSCL constructs in the categories of engagement. Data types and analysis methods exhibited diversity depending on the CSCL constructs. Based on the findings, the study suggested implications, including the need for collaborative learning analytics with an actionable purpose and the advancement toward theory-driven collaborative learning analytics in the future.

참고문헌 (Reference)

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