How Does Collaborative Reflection Unfold in Online Communities? An Analysis of Two Data Sets
Fulltext URI
Document type
Additional Information
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
People can learn a lot through (collaborative) reflection at work: In organizations, staff debate experiences and due to issues every day, thus reflecting together and learning from each other. While this is desirable, it is often hindered by differences in time and space. Online discussions in community-like systems may provide a means to overcome this issue and enable staff to share experiences and learn from them. In this paper, we study two different data sets from two software systems to support online collaborative reflection in order to analyze what possible factors influence the occurrence of aspects of reflection in online discussions, like experiences, suggestions and learning. Our results include findings that partially approve existing models of (collaborative) reflection, but also others that add to or even challenge these models. Overall, we found that collaborative reflection may take different paths towards learning. From this we derive that facilitation mechanisms need to take up these paths, and that facilitation may be successful in different ways than anticipated from existing literature. We describe possible facilitation mechanisms and discuss their implementation.
Description
Keywords
Citation
URI
Collections
Endorsement
Review
Supplemented By
Referenced By
Number of citations to item: 10
- Ananya Bhattacharjee, Dana Kulzhabayeva, Mohi Reza, Harsh Kumar, Eunchae Seong, Xuening Wu, Mohammad Rashidujjaman Rifat, Robert Bowman, Rachel Kornfield, Alex Mariakakis, Syed Ishtiaque Ahmed, Munmun De Choudhury, Gavin Doherty, Mary P Czerwinski, Joseph Jay Williams (2023): Integrating Individual and Social Contexts into Self-Reflection Technologies, In: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544549.3573803
- Ying Geng, Po-Sen Huang, Yeuh-Min Huang (2021): Crowdsourcing in Nursing Education: A Possibility of Creating a Personalized Online Learning Environment for Student Nurses in the Post-COVID Era, In: Sustainability 6(13), doi:10.3390/su13063413
- Slaviša Radović, Olga Firssova, Hans G. K. Hummel, Marjan Vermeulen (2022): The case of socially constructed knowledge through online collaborative reflection, In: Studies in Continuing Education 2(45), doi:10.1080/0158037x.2022.2029389
- Fei Wang, Takaya Yuizono, Tzu-Yang Wang, Eunyong Kim, Yaqin Lu (2023): Integrating reflection into a mobile-assisted reading program for learning English as a second language in China, In: Frontiers in Education, doi:10.3389/feduc.2022.1067523
- Elina Salomaa, Esa Lehtinen (2022): Changing the ownership of ideas: Multimedial accomplishment of collaborative reflection in an organizational workshop, In: Language & Communication, doi:10.1016/j.langcom.2022.04.001
- M. Pais Marden, Jan Herrington (2021): Encouraging reflective practice through learning portfolios in an authentic online foreign language learning environment, In: Reflective Practice 2(23), doi:10.1080/14623943.2021.2001321
- Mandy Hommel, Bärbel Fürstenau, Regina H. Mulder (2023): Reflection at work – A conceptual model and the meaning of its components in the domain of VET teachers, In: Frontiers in Psychology, doi:10.3389/fpsyg.2022.923888
- Jeni Paay, Sonja Pedell, Simone Taffe (2023): Broadening Participation and Insight in Codesign through Online Connectivity, In: Proceedings of the 35th Australian Computer-Human Interaction Conference, doi:10.1145/3638380.3638446
- Hannah Studd (2024): Exploring Self-Reflection as a Collaborative Process, In: Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, doi:10.1145/3678884.3682045
- Shamya Karumbaiah, Pinyang Liu, Alisa Maksimova, Lea De Vylder, Nikol Rummel, Vincent Aleven (2023): Multimodal Analytics for Collaborative Teacher Reflection of Human-AI Hybrid Teaching: Design Opportunities and Constraints, In: Lecture Notes in Computer Science, doi:10.1007/978-3-031-42682-7_45