MOOC 대시보드 설계원리 개발: 자기조절학습 촉진을 중심으로
Development of MOOC Dashboard Design Principles to Support Self-Regulated Learning
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대시보드는 시각화된 학습활동 정보를 통하여 학습자 자신이 미처 파악하지 못한 진행상황을 인지하도록 지원함으로서 학습과정 및 결과에 대한 새로운 통찰력을 제공해주는 도구이다. 이 같은 대시보드는 학습과정에서 다양한 데이터가 생성되는 온라인 환경을 중심으로 활용되는데, 최근에는 대규모 공개 온라인 강좌인 MOOC(Massive Open Online Course)에서 강조되고 있다. MOOC 학습자는 스스로 자신의 학습과정을 계획, 점검, 성찰하는 자기조절학습을 필수적으로 수행해야 한다. 이에 본 연구는 MOOC에서 자기조절학습을 촉진하기 위한 대시보드 설계원리를 개발하고자 하였다. 이를 위해 자기조절학습의 이론적 프레임워크에 따라 문헌분석을 실시하여 설계원리를 도출하였으며, 이 과정에서 MOOC, 자기조절학습, 대시보드의 3세 가지 영역에 대한 관점을 통합적으로 반영하였다. 이에 더하여 대시보드 사례분석 및 학습자 요구분석을 실시함으로써 기존 사례가 제공하는 시사점과 실제 학습자 경험 역시 고려하였다. 분석 결과, MOOC에서는 학습자 개개인의 목표설정을 지원하는 것이 무엇보다 중요하였으며, 이에 따라 목표성취를 위한 학습자의 인지, 동기, 행동 그리고 맥락영역에서의 자기조절학습을 지원하는 설계가 필요하였다. 이를 반영하여 4개의 설계원리 및 10개의 세부적인 설계지침을 도출하였으며, 전문가 검토 과정을 거쳐 최종적으로 4개의 설계원리 및 9개의 설계지침을 확정하였다. 본 연구에서 제안한 대시보드 설계원리는 향후 자기조절학습 촉진을 위한 대시보드 개발의 준거로 사용될 수 있을 것으로 기대한다.
Abstract
A learner dashboard is a useful tool to support self-regulated learning by enabling learners to be aware of their learning progress based on visualized learning activity information. Dashboards are mainly used in an online learning environment and recently highlighted in MOOCs(Massive Open Online Courses). Given that MOOC learners may have difficulty in persisting their learning, there exists a strong needs for supporting learning, especially in planning and monitoring their own learning process. The aim of this study is to develop dashboard design principles to support self-regulated learning in MOOCs. In order to achieve the goal, relevant literature was analyzed in terms of the design of MOOCs, self-regulated learning theories, and dashboard, which provided a comprehensive perspective of the design principles. Existing dashboards and MOOC learners’ needs were also analyzed to integrate practicality. As a result, four design principles and nine detailed design guidelines were derived, which were validated by field experts. The results revealed that learners’ goal setting was the most important in MOOCs to promote self-regulated learning. The suggested design principles will be applied as a guideline at the stage of MOOC dashboard development.
참고문헌 (63)
- "한국형 온라인 공개강좌(K-MOOC) 활용도 제고 방안 연구" (2017), 국가평생교육진흥원[URL]
- 김성현, "빅데이터 정책 및 발전방향", 한림ICT 정책저널, 02, pp.26~31 (2015)
- 김윤옥, "질적연구 실천방법" (2009), 교육과학사
- 김창수, "e-러닝환경에서 자기조절학습을 지원하는 도구의 프로토타입 개발", 교육정보미디어연구, 14(2), pp.237~266 (2008), 한국교육정보미디어학회
- 박종현, "모바일 환경에서 자기조절학습 지원도구의 설계", 사고개발, 9(1), pp.197~217 (2013), 대한사고개발학회
- 변문경, "K-MOOC 수강 완료자의 초기 수강 동기와 수강 지속 동기 분석", 학습자중심교과교육연구, 17(3), pp.125~154 (2017), 학습자중심교과교육학회[DOI]
- 임규연, "학습자중심 대시보드 설계를 위한 탐색적 연구: 학습정보를 중심으로", 컴퓨터교육학회 논문지, 21(3), pp.35~50 (2018), 한국컴퓨터교육학회[DOI]
- 임철일, "웹 기반 자기 조절 학습 환경을 위한 설계 전략의 특성과 효과", 교육공학연구, 17(3), pp.53~83 (2001)
- 임철일, "자기조절학습을 지원하는 기업의 이러닝 학습관리체제의 개발과 효과에 관한 연구", 교육공학연구, 21(4), pp.77~100 (2005), 한국교육공학회
- 진성희, "이러닝 학습환경에서 학습분석기반 대시보드 연구동향 분석", 교육정보미디어연구, 21(2), pp.185~213 (2015), 한국교육정보미디어학회[DOI]
- 최정임, "이러닝 환경에서 학습계획 및 시간관리 전략이 대학생의 자기조절학습능력과 학업성취도에 미치는 효과", 교육과학연구, 43(4), pp.221~244 (2012), 교육과학연구소
- Aljohani, N. R., "An integrated framework for course adapted student learning analytics dashboard", Computers in Human Behavior, 4, pp.1~12 (2018)
- Beheshitha, S. S., "The role of achievement goal orientations when studying effect of learning analytics visualizations", Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pp.54~63 (2016), ACM
- Bodily, R., "Online learner engagement : Opportunities and challenges with using data analytics", Educational Technology, 57(1), pp.10~18 (2017)
- Bonk, C. J., "MOOCs and open education around the world" (2015), Routledge
- Brookfield, S., "Adult learning : An overview", International Encyclopedia of Education, 10, pp.375~380 (1995)
- Davis, L. L., "Instrument review : Getting the most from a panel of experts", Applied Nursing Research, 5(4), pp.194~197 (1992)
- Farrow, R., "Open education and critical pedagogy", Media and Technology, 42(2), pp.130~146 (2017)
- Festinger, L., "A theory of social comparison processes", Human Relations, 7, pp.117~140 (1954)
- Few, S., "Information dashboard design : The effective visual communication of data" (2006), O'Reilly Media
- Gutiérrez-Rojas, I., "Scaffolding self-learning in MOOCs", Proceedings of the European MOOC Stakeholder Summit, pp.43~49 (2014)
- Howell, J. A., "Learning analytics messages : Impact of grade, sender, comparative information and message style on student affect and academic resilience", Computers in Human Behavior, 89, pp.8~15 (2018)
- Hundhausen, C. D., "IDE-based learning analytics for computing education : A process model, critical review, and research agenda", ACM Transactions on Computing Education, 17(3), pp.11~ (2017)
- Jonathan, C., "Enhancing students’critical reading fluency, engagement and self-efficacy using self-referenced learning analytics dashboard visualizations", Proceedings of the 25th International Conference on Computers in Education, pp.457~462 (2017)
- Jordan, K., "Initial trends in enrolment and completion of massive open online courses", The International Review of Research in Open and Distributed Learning, 15(1), pp.133~160 (2014)
- Keim, D. A., "Information visualization and visual data mining", IEEE Transactions on Visualization & Computer Graphics, 7(1), pp.1~8 (2002)
- 김정현, "Effects of learning analytics dashboard: analyzing the relations among dashboard utilization, satisfaction, and learning achievement", Asia Pacific Education Review, 17(1), pp.13~34 (2016), 교육연구소
- Kizilcec, R. F., "Deconstructing disengagement: Analyzing learner subpopulations in massive open online courses", Proceedings of the Third International Conference on Learning Analytics & Knowledge, pp.170~179 (2013)
- Kizilcec, R. F., "Recommending self-regulated learning strategies does not improve performance in a MOOC", Proceedings of the Third ACM Conference on Learning, pp.101~104 (2016)
- Kizilcec, R. F., "Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses", Computers & Education, 104, pp.18~33 (2017)
- Klerkx, J., "Handbook of learning analytics", pp.143~150 (2017), SOLAR, Society for Learning Analytics and Research
- Kop, R., "The challenges to Connectivist learning on open online networks : Learning experiences during a massive open online course", The International Review of Research in Open and Distance Learning, 12(3), pp.19~38 (2011)
- Littlejohn, A., "Learning in MOOCs : Motivations and self-regulated learning in MOOCs", The Internet and Higher Education, 29, pp.40~48 (2016)
- Loizzo, J., "MOOCocracy : The learning culture of massive open online courses", Educational Technology Research and Development, 64(6), pp.1013~1032 (2016)
- Maldonado-Mahauad, J., "Mining theory-based patterns from Big data : Identifying self-regulated learning strategies in Massive Open Online Courses", Computers in Human Behavior, 80, pp.179~196 (2018)
- Manso-Vázquez, M., "Tracking and visualizing time management for self-regulated learners", Proceedings of 2016 IEEE Frontiers in Education Conference (2016)
- Milligan, C., "Why study on a MOOC? The motives of students and professionals", The International Review of Research in Open and Distributed Learning, 18(2), pp.92~102 (2017)
- Nawrot, I., "Building engagement for MOOC students: Introducing support for time management on online learning platforms", Proceedings of the 23rd International World Wide Web Conference, pp.1077~1082 (2014)
- Onah, D. F., "Dropout rates of massive open online courses:Behavioural patterns", EDULEARN14 proceedings, pp.5825~5834 (2014)
- 박태정, "A Study on Design Guidelines of Learning Analytics to Facilitate Self-Regulated Learning in MOOCs", Educational Technology International, 17(1), pp.117~150 (2016), 한국교육공학회
- Pérez-Álvarez, R., "NoteMyProgress: A tool to support learners’ self-regulated learning strategies in MOOC environments", European Conference on Technology Enhanced Learning (2017), Springer
- Pintrich, P. R., "Handbook of self-regulation", pp.451~502 (2000), Academic Press
- Pintrich, P. R., "A conceptual framework for assessing motivation and self-regulated learning in college students", Educational Psychology Review, 16(4), pp.385~407 (2004)
- Richey, R. C., "Design and development research : Methods, strategies, and issues" (2007), Routledge
- Roberts, L. D., "Give me a customizable dashboard:Personalized learning analytics dashboards in higher education. Technology", Knowledge and Learning, 22(3), pp.317~333 (2017)
- Ruipérez-Valiente, J. A., "ALAS-KA: A learning analytics extension for better understanding the learning process in the Khan Academy platform", Computers in Human Behavior, 47, pp.139~148 (2015)
- Saks, K., "Distinguishing self-directed and self-regulated learning and measuring them in the e-learning context", Procedia-Social and Behavioral Sciences, 112, pp.190~198 (2014)
- Salovey, P., "Emotion, disclosure, and health", pp.125~154 (1995), American Psychological Association
- Schunk, D. H., "Goal setting and self-efficacy during self-regulated learning", Educational Psychologist, 25(1), pp.71~86 (1990)
- Schunk. D. H., "교육적 관점에서 본) 학습이론" (2006), 아카데미프레스
- Schunk, D. H., "Self-regulated learning: From teaching to self-reflective practice" (1998), Guilford Press
- Seels, B., "Instructional technology: The definition and domains of the field" (1994), Association for Educational Communications and Technology
- Shrader, S., "Massive open online courses (MOOCs):Participant activity, demographics, and satisfaction", Online Learning, 20(2), pp.199~216 (2016)
- Tabuenca, B., "Time will tell: The role of mobile learning analytics in self-regulated learning", Computers & Education, 89, pp.53~74 (2015)
- Teasley, S. D., "Student facing dashboards: One size fits all?", Technology, Knowledge and Learning, 22(3), pp.377~384 (2017)
- van den Akker, J., "Design methodology and development research in education and training", pp.1~14 (1999), Kluwer Academic Publishers
- Verbert, K., "Learning analytics dashboard applications", American Behavioral Scientist, 57(10), pp.1500~1509 (2013)
- Verbert, K., "Learning dashboards : An overview and future research opportunities", Personal and Ubiquitous Computing, 18(6), pp.1499~1514 (2014)
- Whipp, J. L., "Self-regulation in a web-based course : A case study", Educational Technology Research and Development, 52(4), pp.5~21 (2004)
- Zheng, S., "Understanding student motivation, behaviors and perceptions in MOOCs", Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, pp.1882~1895 (2015)
- Zimmerman, B. J., "Academic studying and the development of personal skill: A self-regulatory perspective", Educational Psychologist, 33(2-3), pp.73~86 (1998)
- Zimmerman, B. J., "Handbook of self-regulation", pp.13~39 (2000), Academic Press
- Zimmerman, B. J., "Student differences in self-regulated learning : Relating grade, sex, and giftedness to self-efficacy and strategy use", Journal of Educational Psychology, 82(1), pp.51~59 (1990)
