IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i20p8522-d428552.html
   My bibliography  Save this article

Investigating Sequence Patterns of Collaborative Problem-Solving Behavior in Online Collaborative Discussion Activity

Author

Listed:
  • Yafeng Zheng

    (School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Haogang Bao

    (Faculty of Education, Beijing Normal University, Beijing 100875, China)

  • Jun Shen

    (School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia)

  • Xuesong Zhai

    (College of Education, Zhejiang University, Hangzhou 310058, China)

Abstract

Collaborative problem solving (CPS) is an influential human behavior affecting working performance and well-being. Previous studies examined CPS behavior from the perspective of either social or cognitive dimensions, which leave a research gap from the interactive perspective. In addition, the traditional sequence analysis method failed to combine time sequences and sub-problem sequences together while analyzing behavioral patterns in CPS. This study proposes a developed schema for the multidimensional analysis of CPS. A combination sequential analysis approach that comprises time sequences and sub-problem sequences is also employed to explore CPS patterns. A total of 191 students were recruited and randomly grouped into 38 teams (four to six students per team) in the online collaborative discussion activity. Their discussion transcripts were coded while they conducted CPS, followed by the assessment of high- and low- performance groups according to the developed schema and sequential analysis. With the help of the new analysis method, the findings indicate that a deep exploratory discussion is generated from conflicting viewpoints, which promotes improved problem-solving outcomes and perceptions. In addition, evidence-based rationalization can motivate collaborative behavior effectively. The results demonstrated the potential power of automatic sequential analysis with multidimensional behavior and its ability to provide quantitative descriptions of group interactions in the investigated threaded discussions.

Suggested Citation

  • Yafeng Zheng & Haogang Bao & Jun Shen & Xuesong Zhai, 2020. "Investigating Sequence Patterns of Collaborative Problem-Solving Behavior in Online Collaborative Discussion Activity," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8522-:d:428552
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/20/8522/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/20/8522/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anette Oxenswärdh & Ulrika Persson-Fischier, 2020. "Mapping Master Students’ Processes of Problem Solving and Learning in Groups in Sustainability Education," Sustainability, MDPI, vol. 12(13), pages 1-14, June.
    2. Filippina Risopoulos-Pichler & Fedor Daghofer & Gerald Steiner, 2020. "Competences for Solving Complex Problems: A Cross-Sectional Survey on Higher Education for Sustainability Learning and Transdisciplinarity," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    3. Neubert, Jonas C. & Mainert, Jakob & Kretzschmar, André & Greiff, Samuel, 2015. "The Assessment of 21st Century Skills in Industrial and Organizational Psychology: Complex and Collaborative Problem Solving," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(2), pages 238-268, June.
    4. Jeffrey Mo, 2017. "Collaborative problem solving," PISA in Focus 78, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peijie Jiang & Xiaomeng Ruan & Zirong Feng & Yanyun Jiang & Bin Xiong, 2023. "Research on Online Collaborative Problem-Solving in the Last 10 Years: Current Status, Hotspots, and Outlook—A Knowledge Graph Analysis Based on CiteSpace," Mathematics, MDPI, vol. 11(10), pages 1-20, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Campbell, Throy Alexander, 2018. "A phenomenological study of business graduates' employment experiences in the changing economy," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 52(1), pages 1-4.
    2. repec:iab:iabjlr:v:52:i:1:p:art.4 is not listed on IDEAS
    3. Campbell, Throy Alexander, 2018. "A phenomenological study of business graduates' employment experiences in the changing economy," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 52(1), pages .4(1-10).
    4. Sebastian Brumann & Ulrike Ohl & Johannes Schulz, 2022. "Inquiry-Based Learning on Climate Change in Upper Secondary Education: A Design-Based Approach," Sustainability, MDPI, vol. 14(6), pages 1-29, March.
    5. Janka Medová & Kristína Ovary Bulková & Soňa Čeretková, 2020. "Relations between Generalization, Reasoning and Combinatorial Thinking in Solving Mathematical Open-Ended Problems within Mathematical Contest," Mathematics, MDPI, vol. 8(12), pages 1-20, December.
    6. Carolina Feliciana Machado & João Paulo Davim, 2022. "Higher Education for Sustainability: A Bibliometric Approach—What, Where and Who Is Doing Research in This Subject?," Sustainability, MDPI, vol. 14(8), pages 1-15, April.
    7. Mohammed Abdullatif Almulla, 2020. "The Effectiveness of the Project-Based Learning (PBL) Approach as a Way to Engage Students in Learning," SAGE Open, , vol. 10(3), pages 21582440209, July.
    8. Arantza Rico & Elena Agirre-Basurko & Aritz Ruiz-González & Igone Palacios-Agundez & Daniel Zuazagoitia, 2021. "Integrating Mathematics and Science Teaching in the Context of Education for Sustainable Development: Design and Pilot Implementation of a Teaching-Learning Sequence about Air Quality with Pre-Service," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    9. Throy Alexander Campbell, 2018. "A phenomenological study of business graduates’ employment experiences in the changing economy," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-10, December.
    10. Christiani, Charis, 2021. "The Education Process Viewed from the Standard-Based Education Paradigm in Public Schools: A Case From Central Java, Indonesia," OSF Preprints n9gez, Center for Open Science.
    11. Irina Uglanova & Irina Pogozhina, 2021. "What the New Measure of Thinking in School Students Has to Offer to Contemporary Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 8-34.
    12. Diego Bellini & Alberto Crescentini & Giovanna Zanolla & Serena Cubico & Giuseppe Favretto & Lorenzo Faccincani & Piermatteo Ardolino & Giovanna Gianesini, 2019. "Mathematical Competence Scale (MCS) for Primary School: The Psychometric Properties and the Validation of an Instrument to Enhance the Sustainability of Talents Development through the Numeracy Skills," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    13. Cheng-Hsuan Li & Pei-Ling Tsai & Zhi-Yong Liu & Wen-Chieh Huang & Pei-Jyun Hsieh, 2021. "Exploring Collaborative Problem Solving Behavioral Transition Patterns in Science of Taiwanese Students at Age 15 According to Mastering Levels," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    14. Угланова И. Л. & Погожина И. Н., 2021. "Что Может Предложить Новая Методология Оценки Мышления Школьников Современному Образованию," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 8-34.
    15. Yoav Bergner & Alina A. von Davier, 2019. "Process Data in NAEP: Past, Present, and Future," Journal of Educational and Behavioral Statistics, , vol. 44(6), pages 706-732, December.
    16. Asma Afzal & Martin Thomas, 2019. "Effect of the Technology-Supported Learning on the Academic Performance of Secondary School Students," Global Regional Review, Humanity Only, vol. 4(2), pages 280-289, June.
    17. Francesca Borgonovi & Alessandro Ferrara & Mario Piacentini, 2020. "From asking to observing. Behavioural measures of socio-emotional and motivational skills in large-scale assessments," DoQSS Working Papers 20-19, Quantitative Social Science - UCL Social Research Institute, University College London.
    18. Yaroslav Kuzminov & Pavel Sorokin & Isak Froumin, 2019. "Generic and Specific Skills as Components of Human Capital: New Challenges for Education Theory and Practice," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(2), pages 19-41.
    19. Ronald Venn & Paquita Perez & Valerie Vandenbussche, 2022. "Competencies of Sustainability Professionals: An Empirical Study on Key Competencies for Sustainability," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    20. Peter F. Halpin & Yoav Bergner, 2018. "Psychometric Models of Small Group Collaborations," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 941-962, December.
    21. Maria-Glòria Barberà-Mariné & Laura Fabregat-Aibar & Valeria Ferreira & Antonio Terceño, 2024. "One Step Away from 2030: An Assessment of the Progress of Sustainable Development Goals (SDGs) in the European Union [A un paso de 2030: Una evaluación del progreso de los Objetivos de Desarrollo S," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 36(6), pages 1372-1397, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8522-:d:428552. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.