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      Development of design principles based on learning analytics for online collaborative learning in higher education

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      https://www.riss.kr/link?id=T17072169

      • 저자
      • 발행사항

        부산 : 동아대학교 대학원, 2024

      • 학위논문사항

        학위논문(박사) -- 동아대학교 대학원 , 교육학과 , 2024.8

      • 발행연도

        2024

      • 작성언어

        영어

      • 주제어
      • KDC

        377 판사항(5)

      • 발행국(도시)

        부산

      • 기타서명

        고등교육에서 학습분석 기반 온라인 협력학습 설계원리 개발

      • 형태사항

        x, 325 p. : 삽화, 도표 ; 27 cm

      • 일반주기명

        지도교수: 남창우
        부록: 1. The Delphi & Expert Review Quetionnaire, 2. The Design Principles & Guidelines (2nd Ver.), 3. The Design Principles & Guidelines (3nd Ver.). 외
        참고문헌: p. 221-268

      • UCI식별코드

        I804:21008-200000809545

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        • 동아대학교 도서관 소장기관정보
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      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Instructors in online collaborative learning (OCL) face the challenge of being unable to monitor and closely observe learners’ learning processes constantly. However, the online environment inevitably records all learner activities as log data. This data, when analyzed through learning analytics, can provide meaningful insights into learners’ collaboration patterns and interactions. Leveraging learning analytics enables personalized instructional interventions, facilitating the successful execution of collaborative learning. Within higher education, the evolution of learning analytics has occurred chiefly in conjunction with e-learning infrastructures; however, it faces challenges in gaining stakeholder trust and the incorporation of effective practices to improve teaching and learning methodologies. Although the technology behind learning analytics has significantly advanced, its application in real-world settings demonstrates a relatively low maturity. As a result, there is a strong need for guidelines that can support instructors with course design from a technology integration perspective.
      This study addresses these challenges by developing principles for designing OCL grounded in learning analytics within higher education. It outlines two primary purposes: from a macro perspective, to broaden the knowledge base of OCL and learning analytics based on established educational theories, and, from a micro perspective, to formalize key concepts that link detailed tracking data and learning artifacts found in learner logs, allowing the implementation of specific design principles based on learning analytics for OCL in higher education. Therefore, this study’s research questions were aimed at developing such a design principle and assessing its effectiveness.
      This study was conducted in several stages using Design and Development Research (DDR). It began with systematic reviews to find conceptual components, design principles, and guidelines relevant to OCL and learning analytics in higher education. Once determined, five experts in educational technology and higher education were involved in a rigorous validation process to establish their internal validity. The final conceptual components, design principles, and guidelines were developed over several rounds of the Delphi method and validation reviews, ensuring the robustness of the findings. Furthermore, formative assessment for external validation was conducted by collecting and analyzing feedback on a prototype designed to incorporate the principles and guidelines based on learning analytics for OCL. Participants included both higher education learners and instructional designers.
      The findings identified four conceptual components and developed 15 design principles and 44 guidelines based on learning analytics for OCL in higher education. This study’s significance is found in its provision of design principles based on educational theories. The study includes both theoretical and practical implications in higher education and the design aspects of OCL from a learning analytics perspective, making significant contributions to the education field.
      번역하기

      Instructors in online collaborative learning (OCL) face the challenge of being unable to monitor and closely observe learners’ learning processes constantly. However, the online environment inevitably records all learner activities as log data. This...

      Instructors in online collaborative learning (OCL) face the challenge of being unable to monitor and closely observe learners’ learning processes constantly. However, the online environment inevitably records all learner activities as log data. This data, when analyzed through learning analytics, can provide meaningful insights into learners’ collaboration patterns and interactions. Leveraging learning analytics enables personalized instructional interventions, facilitating the successful execution of collaborative learning. Within higher education, the evolution of learning analytics has occurred chiefly in conjunction with e-learning infrastructures; however, it faces challenges in gaining stakeholder trust and the incorporation of effective practices to improve teaching and learning methodologies. Although the technology behind learning analytics has significantly advanced, its application in real-world settings demonstrates a relatively low maturity. As a result, there is a strong need for guidelines that can support instructors with course design from a technology integration perspective.
      This study addresses these challenges by developing principles for designing OCL grounded in learning analytics within higher education. It outlines two primary purposes: from a macro perspective, to broaden the knowledge base of OCL and learning analytics based on established educational theories, and, from a micro perspective, to formalize key concepts that link detailed tracking data and learning artifacts found in learner logs, allowing the implementation of specific design principles based on learning analytics for OCL in higher education. Therefore, this study’s research questions were aimed at developing such a design principle and assessing its effectiveness.
      This study was conducted in several stages using Design and Development Research (DDR). It began with systematic reviews to find conceptual components, design principles, and guidelines relevant to OCL and learning analytics in higher education. Once determined, five experts in educational technology and higher education were involved in a rigorous validation process to establish their internal validity. The final conceptual components, design principles, and guidelines were developed over several rounds of the Delphi method and validation reviews, ensuring the robustness of the findings. Furthermore, formative assessment for external validation was conducted by collecting and analyzing feedback on a prototype designed to incorporate the principles and guidelines based on learning analytics for OCL. Participants included both higher education learners and instructional designers.
      The findings identified four conceptual components and developed 15 design principles and 44 guidelines based on learning analytics for OCL in higher education. This study’s significance is found in its provision of design principles based on educational theories. The study includes both theoretical and practical implications in higher education and the design aspects of OCL from a learning analytics perspective, making significant contributions to the education field.

      더보기

      국문 초록 (Abstract) kakao i 다국어 번역

      온라인 협력학습에서 교수자가 학습 상황에 상주하며 학습자들의 과정을 면밀히 관찰하는 것에는 한계가 있다. 그러나 온라인 환경에서 학습자들의 모든 활동은 로그 데이터로 저장되며, 이 데이터는 학습분석을 통해 협업 패턴과 상호작용을 이해하는 데 중요한 통찰(insight)을 제공할 수 있다. 즉, 온라인 협력학습에서 학습분석을 활용하는 것은 개별화된 교수 개입이 가능해짐을 의미하고 이는 협력학습의 성공적인 수행을 지원한다.
      그러나 고등교육에서 학습분석은 독립적인 시스템으로 존재하기보다는 기존의 e-러닝 인프라와 통합된 형태로 발전해 왔다. 이러한 고등교육 온라인 학습에 학습분석을 적용하는 것은 고등교육 이해관계자의 지지 기반이 미약하고, 교수-학습 과정 개선에 필요한 실천 및 연구가 부족하다는 문제가 존재한다. 이로 인해 학습분석 기술은 고도로 발전했으나 현장에서의 적용은 아직 초기 단계에 머물러 있다. 따라서 교수자의 수업 설계를 보조하고 지원할 수 있는 구체적인 설계지침이 요구된다.
      본 연구는 고등교육에서 학습분석 기반의 온라인 협력학습 설계원리를 개발하는 것을 목적으로 한다. 이를 위해 교육학 이론을 중심으로 온라인 협력학습과 학습분석의 지식 기반을 확장하고자 하며, 학습자 로그(log)에서 발견되는 데이터와 학습 아티팩트(artifact)를 연결하는 핵심 개념을 탐구함으로써 구체적인 설계원리를 도출하고자 한다. 이에, 본 연구에서는 고등교육에서 학습분석 기반 온라인 협력학습 설계원리를 개발하고, 개발된 설계원리의 효과를 확인하는 것을 연구문제로 설정하였다.
      연구문제를 탐구하기 위하여 사용한 방법론은 설계․개발 연구(Design and Development Research; DDR)를 기반으로 하였으며, 체계적 문헌 고찰을 통해 고등교육에서의 온라인 협력학습 및 학습분석의 개념적 구성요소, 설계원리, 및 설계지침을 도출하였다. 이후 교육공학 및 교육정책 전문가의 델파이 조사 및 내적 타당성 검토 과정을 거쳐 최종적인 개념적 구성요소, 설계원리 및 설계지침을 확정하였다. 또한, 외적 타당성을 확보하기 위하여 학습분석 기반 온라인 협력학습의 설계원리 및 설계지침을 종합하여 설계된 프로토타입에 대한 교수설계자와 고등교육 학습자의 반응을 조사하고 분석하였다.
      연구 결과, 고등교육에서 학습분석 기반 온라인 협력학습의 개념적 구성요소는 총 네 가지로 분류되었으며, 15가지 설계원리와 44개의 설계지침이 개발되었다. 본 연구는 고등교육 맥락에서 교육학 이론에 기반하여 학습분석 기반 온라인 협력학습 설계원리를 제시하였다는 점에서 의의가 있다. 이는 고등교육 분야에서 온라인 협력학습과 학습분석의 설계에 관한 이론 및 실천적 함의를 가진다.
      번역하기

      온라인 협력학습에서 교수자가 학습 상황에 상주하며 학습자들의 과정을 면밀히 관찰하는 것에는 한계가 있다. 그러나 온라인 환경에서 학습자들의 모든 활동은 로그 데이터로 저장되며, ...

      온라인 협력학습에서 교수자가 학습 상황에 상주하며 학습자들의 과정을 면밀히 관찰하는 것에는 한계가 있다. 그러나 온라인 환경에서 학습자들의 모든 활동은 로그 데이터로 저장되며, 이 데이터는 학습분석을 통해 협업 패턴과 상호작용을 이해하는 데 중요한 통찰(insight)을 제공할 수 있다. 즉, 온라인 협력학습에서 학습분석을 활용하는 것은 개별화된 교수 개입이 가능해짐을 의미하고 이는 협력학습의 성공적인 수행을 지원한다.
      그러나 고등교육에서 학습분석은 독립적인 시스템으로 존재하기보다는 기존의 e-러닝 인프라와 통합된 형태로 발전해 왔다. 이러한 고등교육 온라인 학습에 학습분석을 적용하는 것은 고등교육 이해관계자의 지지 기반이 미약하고, 교수-학습 과정 개선에 필요한 실천 및 연구가 부족하다는 문제가 존재한다. 이로 인해 학습분석 기술은 고도로 발전했으나 현장에서의 적용은 아직 초기 단계에 머물러 있다. 따라서 교수자의 수업 설계를 보조하고 지원할 수 있는 구체적인 설계지침이 요구된다.
      본 연구는 고등교육에서 학습분석 기반의 온라인 협력학습 설계원리를 개발하는 것을 목적으로 한다. 이를 위해 교육학 이론을 중심으로 온라인 협력학습과 학습분석의 지식 기반을 확장하고자 하며, 학습자 로그(log)에서 발견되는 데이터와 학습 아티팩트(artifact)를 연결하는 핵심 개념을 탐구함으로써 구체적인 설계원리를 도출하고자 한다. 이에, 본 연구에서는 고등교육에서 학습분석 기반 온라인 협력학습 설계원리를 개발하고, 개발된 설계원리의 효과를 확인하는 것을 연구문제로 설정하였다.
      연구문제를 탐구하기 위하여 사용한 방법론은 설계․개발 연구(Design and Development Research; DDR)를 기반으로 하였으며, 체계적 문헌 고찰을 통해 고등교육에서의 온라인 협력학습 및 학습분석의 개념적 구성요소, 설계원리, 및 설계지침을 도출하였다. 이후 교육공학 및 교육정책 전문가의 델파이 조사 및 내적 타당성 검토 과정을 거쳐 최종적인 개념적 구성요소, 설계원리 및 설계지침을 확정하였다. 또한, 외적 타당성을 확보하기 위하여 학습분석 기반 온라인 협력학습의 설계원리 및 설계지침을 종합하여 설계된 프로토타입에 대한 교수설계자와 고등교육 학습자의 반응을 조사하고 분석하였다.
      연구 결과, 고등교육에서 학습분석 기반 온라인 협력학습의 개념적 구성요소는 총 네 가지로 분류되었으며, 15가지 설계원리와 44개의 설계지침이 개발되었다. 본 연구는 고등교육 맥락에서 교육학 이론에 기반하여 학습분석 기반 온라인 협력학습 설계원리를 제시하였다는 점에서 의의가 있다. 이는 고등교육 분야에서 온라인 협력학습과 학습분석의 설계에 관한 이론 및 실천적 함의를 가진다.

      더보기

      목차 (Table of Contents)

      • Chapter 1. Introduction 1
      • 1.1. Background of the Study 1
      • 1.2. Purpose of the Study 5
      • 1.3. Research Questions 11
      • Chapter 2. Literature Review 13
      • Chapter 1. Introduction 1
      • 1.1. Background of the Study 1
      • 1.2. Purpose of the Study 5
      • 1.3. Research Questions 11
      • Chapter 2. Literature Review 13
      • 2.1. Online Collaborative Learning in Higher Education 13
      • 2.2. Learning Analytics in Online Collaborative Learning 39
      • Chapter 3. Methodology 62
      • 3.1. Research Design and Approach 62
      • 3.2. Procedures 65
      • 3.3. Development of Design Principles 67
      • 3.4. Internal Validation 71
      • 3.5. External Validation 85
      • Chapter 4. Results 99
      • 4.1. The Initial Design Principles 99
      • 4.2. Internal Validation Results 109
      • 4.3. External Validation Results 155
      • 4.4. The Final Design Principles 192
      • Chapter 5. Discussion 204
      • 5.1. Design of Online Collaborative Learning Based on Learning Analytics in Higher Education 205
      • 5.2. The Effectiveness of Online Collaborative Learning Based on Learning Analytics in Higher Education 211
      • Chapter 6. Conclusion 215
      • 6.1. Summary 215
      • 6.2. Conclusion 217
      • 6.3. Limitations and Recommendations 219
      • References 221
      • Appendices 269
      • Abstract in Korean 324
      더보기

      참고문헌 (Reference)

      1. Fostering Interaction in synchronous online class sessions with foreign language learners In R. E. Ferdig, E. Baumgartner, R. Hartshorne, R. Kaplan-Rakowski, C. Mouza, (Eds.) Teaching, technology, and teacher education during the COVID-19 pandemic Stories from the field, Bauer, E., pp. 174-178). Association for the Advancement of Computing in Education (AACE)., , 2020

      2. External validity, Kikuta, K., Denly, M., Annual Review of Political Science, 24, 365-393, , 2021

      3. The power of feedback, Timperley, H., 77, 81-112, , 2007

      4. Towards usable E-health, Lopez, K. D., 8(2), 470-490, , 2017

      5. Collaborative learning analytics In, A. F. Wise, Shum, S. B. Cress, Knight, S., C. Rosé, J. OshimaEds, International handbook of computer-supported collaborative learning (pp. 425-4`43 Cham, Switzerland Springer, , 2021

      6. Why people prefer unequal societies, Sheskin, M., Bloom, P., 1(4), 1-7, , 2017

      7. Total learning architecture 2019 report, Johnson, A., Hayden, T., Smith, B., Advanced Distributed Learning (ADL) Initiative, , 2020

      8. A reference model for learning analytics, Dyckhoff, A. L., Thüs, H., Schroeder, U., 4(5-6), 318-331, , 2012

      9. Developing an action model for WBI design, Chung, H. M., 17(2), 27-52, , 2001

      10. A survey of value sensitive design methods, Borning, A., Hendry, D. G., Foundations and Trends® in Human– Computer Interaction, 11(2), 63-125, , 2017

      1. Fostering Interaction in synchronous online class sessions with foreign language learners In R. E. Ferdig, E. Baumgartner, R. Hartshorne, R. Kaplan-Rakowski, C. Mouza, (Eds.) Teaching, technology, and teacher education during the COVID-19 pandemic Stories from the field, Bauer, E., pp. 174-178). Association for the Advancement of Computing in Education (AACE)., , 2020

      2. External validity, Kikuta, K., Denly, M., Annual Review of Political Science, 24, 365-393, , 2021

      3. The power of feedback, Timperley, H., 77, 81-112, , 2007

      4. Towards usable E-health, Lopez, K. D., 8(2), 470-490, , 2017

      5. Collaborative learning analytics In, A. F. Wise, Shum, S. B. Cress, Knight, S., C. Rosé, J. OshimaEds, International handbook of computer-supported collaborative learning (pp. 425-4`43 Cham, Switzerland Springer, , 2021

      6. Why people prefer unequal societies, Sheskin, M., Bloom, P., 1(4), 1-7, , 2017

      7. Total learning architecture 2019 report, Johnson, A., Hayden, T., Smith, B., Advanced Distributed Learning (ADL) Initiative, , 2020

      8. A reference model for learning analytics, Dyckhoff, A. L., Thüs, H., Schroeder, U., 4(5-6), 318-331, , 2012

      9. Developing an action model for WBI design, Chung, H. M., 17(2), 27-52, , 2001

      10. A survey of value sensitive design methods, Borning, A., Hendry, D. G., Foundations and Trends® in Human– Computer Interaction, 11(2), 63-125, , 2017

      11. Building an ontology of learning analytics, Sheridan, D., Gardner, L., In Proceedings Pacific Asia Conference on Information Systems (PACIS) 2018. Yokohama, Japan, , 2018

      12. Exploratory analysis in learning analytics, De-Freitas, S., Technology, Knowledge and Learning, 21, 5-19, , 2016

      13. Towards a micro-ecological approach to CSCL, Mercier, E., 14, 219-235, , 2019

      14. Active learning Cooperation in the classroom, Johnson, D. W., 47, 29-30, , 2008

      15. Design principles for industrie 4.0 scenarios, Pentek, T., Otto, B, pp. 3928-3937, , 2016

      16. Smart technology for self-organizing processes, Bereiter, C., Smart Learning Environments, 1(1), 1-13, , 2014

      17. Social presence Conceptualization and measurement, Weidlich, J., Xu, K., 34, 139-170, , 2021

      18. Computer supported collaborative learning A review, Muukkonen, H., Rahikainen, M., Hakkarainen, K., Lipponen, L., Netherlands University of Nijmegen, , 1999

      19. Scope statements Imperatives for evaluating theory, Cohen, B. P., 50(3), 288-301, , 1985

      20. Infusing cooperative learning in distance education, Ivone, F. M., 24(1), 1-15, , 2020

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