• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권6호
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• pp.2799-2823
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• 2019

With the help of learning analytics, MOOCs have wider potential to succeed in learning through promoting self-regulated learning (SRL). The current study aims to apply and validate visualization design guidelines for a MOOC dashboard to enhance such SRL capabilities based on learning analytics. To achieve the research objective, a MOOC dashboard prototype, LM-Dashboard, was designed and developed, reflecting the visualization design guidelines to promote SRL. Then, both expert and learner participants evaluated LM-Dashboard through iterations to validate the visualization design guidelines and perceived SRL effectiveness. The results of expert and learner evaluations indicated that most of the visualization design guidelines on LM-Dashboard were valid and some perceived SRL aspects such as monitoring a student's learning progress and assessing their achievements with time management were beneficial. However, some features on LM-Dashboard should be improved to enhance SRL aspects related to achieving their learning goals with persistence. The findings suggest that it is necessary to offer appropriate feedback or tips as well as to visualize learner behaviors and activities in an intuitive and efficient way for the successful cycle of SRL. Consequently, this study contributes to establishing a basis for the visual design of a MOOC dashboard for optimizing each learner's SRL.

• 컴퓨터교육학회논문지
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• 제21권3호
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• pp.35-50
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• 2018

학습자중심 학습 환경에서 온라인 대시보드는 학습자 스스로 자신의 활동을 점검, 재구성하는 학습자 중심의 과정을 지원한다. 이때 대시보드 상의 학습정보는 집약적인 형태로 제시되는 특성을 가지고 있으며 다양한 학습자의 개별적인 요구에 맞춤화되어야 한다. 따라서 대시보드가 어떠한 핵심정보를 제공해야 하는지에 대한 탐색이 필요하며, 이를 위해 본 연구에서는 문헌과 대시보드 사례 그리고 학습자 경험을 질적으로 분석하였다. 분석을 통해 도출된 정보의 공통적인 속성을 중심으로 범주화한 결과, 학습준비, 학습참여, 상호작용, 학습성과의 4가지 정보유형 및 11개의 하위범주로 분류할 수 있었다. 이 같은 결과를 토대로 학습자중심 학습 환경에서의 온라인 대시보드 설계 및 구조화에 있어 시사점을 논의하였다.

• Educational Technology International
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• 제20권2호
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• pp.223-255
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• 2019

The purpose of this study is to draw implications for designing online tools to support monitoring in collaborative learning. For this purpose, eighteen research papers that explored learner dashboards and group awareness tools were analyzed. The driving questions for this analysis related to the information and outcomes that must be monitored, whose performance they represent, and who monitors the extent of learning. The analytical frameworks used for this study included the following: three modes of co-regulation in terms of who regulates whose learning (self-regulation in collaborative learning, other regulation, and socially shared regulation) and four categories of dashboard information to determine which information is monitored (information about preparation, participation, interaction, and achievements). As a result, five design implications for learner dashboards that support monitoring were posited: a) Monitoring tools for collaborative learning should support multiple targets: the individual learner, peers, and the entire group; b) When supporting personal monitoring, information about the individual and peers should be displayed simultaneously to allow direct comparison; c) Information on collaborative learning achievements should be provided in terms of the content of knowledge acquired rather than test scores; d) In addition to information related to interaction between learners, the interaction between learners and learning materials can also be provided; and e) Presentation of the same information to individuals or groups should be variable.

• Educational Technology International
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• 제18권2호
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• pp.73-99
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• 2017

The learning analytics dashboard (LAD) is a supporting tool for teaching and learning in its personalized, automatic, and visual aspects. While several studies have focused on the effect of using dashboard on learning achievement, there is a research gap concerning the impacts of learners' characteristics on it. Accordingly, this study attempted to verify the differences in learning achievement depending on learning motivation level (high vs. low) and dashboard intervention (use vs. non-use). The final participants were 231 university students enrolled in a basic statistics course. As a research design, a 2 × 2 factorial design was employed. The results showed that learning achievement varied with dashboard intervention and the interaction effect was significant between learning motivation and dashboard intervention. The results imply that the impact of LAD may vary depending on learner characteristics. Consequently, this study suggests that the dashboard interventions should be offered after careful consideration of individual students' differences, particularly their learning motivation.

• 컴퓨터교육학회논문지
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• 제20권6호
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• pp.1-15
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• 2017

본 연구의 목적은 학습분석 기반 교수자 피드백 제공을 위해 LMS(Learning Management System) 대시보드를 설계하여 교수자 관점에서 개별 학습자의 학습 수행 정보를 직관적으로 이해할 수 있도록 하고, 학습자별로 추천된 피드백을 교수자가 유용하게 활용하고자 하는 것이다. 이 대시보드는 교수자 피드백 분류체계표에서 적용된 LMS의 교육적 활용 데이터를 근거로 설계되었다. 총 2회에 걸쳐 8년 이상의 경력을 가진 교육공학 전문가 8인을 대상으로 대시보드 설계 전반에 대해 타당화 검사를 실시하여 수정하였다. 연구의 결과로 설계된 최종 대시보드 화면은 종합분석 대시보드, 학습자분석 요약 대시보드, 추천 피드백 안내 대시보드로서 크게 3부분이 있고, 그에 따른 세부적인 분석 정보를 각각 제공하는 로그인 분석 대시보드, 학습정보확인 분석 대시보드, 강의자료학습 분석 대시보드, 과제/시험 분석 대시보드, 게시글 분석 대시보드 화면으로 총 8개의 대시보드로 구성된다. 모든 대시보드는 선행 연구에 근거하여 학습분석학 기반의 분석 정보 및 데이터에 따라 적합한 그래프 유형 및 표로 시각화 기법을 통해 적용되었다. 이러한 연구결과를 기반으로 교수자 피드백 제공을 위한 대시보드의 활용에 관한 시사점과 향후 연구과제에 대한 방안을 제시하였다.