Abstract
Promoting progressive discourse and sustained inquiry is a focus area of knowledge building research. Although different approaches for scaffolding productive discourse have been documented, the experimental investigation into the impact of teacher scaffolding on students’ knowledge building processes and outcomes in technology-supported environments is limited. Therefore, we designed a quasi-experimental study to examine the impact of teacher scaffolding on students’ interaction patterns, social-epistemic networks, and academic performance. Over a 14-week course, data were collected from undergraduates’ online interactions, discourse in the Knowledge Forum, and their group artifacts. We employed lag sequence analysis, social epistemic network signature, and the Kruskal-Wallis test to analyze the data and compare the differences between the control and experimental groups. Findings demonstrate that teacher scaffolding can effectively enhance students’ reflective behaviors, foster social and epistemic engagement, and improve academic performance within technology-supported knowledge building environments. This study provides valuable insights into the design and implementation of teacher scaffolding to facilitate student knowledge building processes and outcomes.
Similar content being viewed by others
Data availability
The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
References
Armat, M. R., Assarroudi, A., Rad, M., Sharifi, H., & Heydari, A. (2018). Inductive and deductive: Ambiguous labels in qualitative content analysis. The Qualitative Report, 23(1), 219–221.
Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd ed.). Cambridge University Press.
Ben-Eliyahu, A., Moore, D., Dorph, R., & Schunn, C. D. (2018). Investigating the multidimensionality of engagement: Affective, behavioral, and cognitive engagement across science activities and contexts. Contemporary Educational Psychology, 53, 87–105.
Bereiter, C., & Scardamalia, M. (2014). Knowledge building and knowledge creation: One concept, Two Hills to climb. In S. C. Tan, H. J. So, & J. Yeo (Eds.), Knowledge creation in Education (pp. 35–52). Springer.
Besemer, S. P., & Treffinger, D. J. (1981). Analysis of creative products: Review and synthesis. The Journal of Creative Behavior, 15(3), 158–178.
Biesta, G., & Tedder, M. (2007). Agency and learning in the lifecourse: Towards an ecological perspective. Studies in the Education of Adults, 39(2), 132–149.
Calvani, A., Fini, A., Molino, M., & Ranieri, M. (2010). Visualizing and monitoring effective interactions in online collaborative groups. British Journal of Educational Technology, 41(2), 213–226.
Chai, S., Oon, E. P. T., Chai, Y., & Li, Z. (2023). Examining the role of metadiscourse in collaborative knowledge building community. Library Hi Tech. https://doi.org/10.1108/LHT-03-2023-0085. Advanced online publication.
Chai, S., & Zhu, G. (2021). The relationship between group adoption of knowledge Building principles and performance in creating artifacts. Educational Technology Research and Development, 69, 787–808.
Chen, B., & Hong, H. Y. (2016). Schools as knowledge-building organizations: Thirty years of design research. Educational Psychologist, 51(2), 266–288.
Chen, B., Zhu, X., & Díaz del Castillo H. F. (2023). Integrating generative AI in knowledge building. Computers and Education: Artificial Intelligence, 5, 100184.
Chong, S. W. (2021). Reconsidering student feedback literacy from an ecological perspective. Assessment & Evaluation in Higher Education, 46(1), 92–104.
Cohen, E. G., & Lotan, R. A. (2014). Designing groupwork: Strategies for the heterogeneous classroom (3rd ed.). Teachers College Press.
Daems, O., Erkens, M., Malzahn, N., & Hoppe, H. U. (2014). Using content analysis and domain ontologies to check learners’ understanding of science concepts. Journal of Computers in Education, 1, 113–131.
Gašević, D., Joksimović, S., Eagan, B. R., & Shaffer, D. W. (2019). SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Computers in Human Behavior, 92, 562–577.
Hadwin, A., Bakhtiar, A., & Miller, M. (2018). Challenges in online collaboration: Effects of scripting shared task perceptions. International Journal of Computer-Supported Collaborative Learning, 13(3), 301–329.
Hmelo-Silver, C. E., & Barrows, H. S. (2008). Facilitating collaborative knowledge building. Cognition and Instruction, 26(1), 48–94.
Hong, H. Y., & Lin, P. Y. (2019). Elementary students enhancing their understanding of energy-saving through idea-centered collaborative knowledge-building scaffolds and activities. Educational Technology Research and Development, 67(1), 63–83.
Hong, H. Y., Chen, F. C., Chai, C. S., & Chan, W. C. (2011). Teacher-education students’ views about knowledge building theory and practice. Instructional Science, 39(4), 467–482.
Hong, H. Y., Lin, P. Y., Chen, B., & Chen, N. (2019). Integrated STEM learning in an idea-centered knowledge-building environment. The Asia-Pacific Education Researcher, 28(1), 63–76.
Hong, H. Y., Ma, L., Lin, P. Y., & Lee, K. Y. H. (2020). Advancing third graders’ reading comprehension through collaborative knowledge building: A comparative study in Taiwan. Computers & Education, 157, 103962.
Hoppe, H. U. (2017). Computational methods for the analysis of learning and knowledge building communities. In C. Lang, G. Siemens, A. Wise, & D. Gasevic (Eds.), Handbook of Learning Analytics (pp. 23–33). Solar.
Hübscher-Younger, T., & Narayanan, N. H. (2023). Influence of authority on convergence in collaborative learning. In G. Stahl (Ed.), Computer support for collaborative learning (pp. 481–489). Routledge.
Järvelä, S., Gašević, D., Seppänen, T., Pechenizkiy, M., & Kirschner, P. A. (2020). Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning. British Journal of Educational Technology, 51(6), 2391–2406.
Kimmerle, J., Cress, U., & Held, C. (2010). The interplay between individual and collective knowledge: Technologies for organisational learning and knowledge building. Knowledge Management Research & Practice, 8, 33–44.
Kraatz, E. (2021). Teacher scaffolding and equity in collaborative knowledge construction. The Ohio State University.
Lai, M., & Law, N. (2006). Peer scaffolding of knowledge building through collaborative groups with differential learning experiences. Journal of Educational Computing Research, 35(2), 123–144.
Lei, C., & Chan, C. K. (2018). Developing metadiscourse through reflective assessment in knowledge building environments. Computers & Education, 126, 153–169.
Liu, C. H., & Matthews, R. (2005). Vygotsky’s philosophy: Constructivism and its criticisms examined. International Education Journal, 6(3), 386–399.
Liu, Z., Zhang, N., Peng, X., Liu, S., & Yang, Z. (2023). Students’ social-cognitive engagement in online discussions. Educational Technology & Society, 26(1), 1–15.
Luo, H., Yang, T., Xue, J., & Zuo, M. (2019). Impact of student agency on learning performance and learning experience in a flipped classroom. British Journal of Educational Technology, 50(2), 819–831.
Mäkitalo-Siegl, K., Kohnle, C., & Fischer, F. (2011). Computer-supported collaborative inquiry learning and classroom scripts: Effects on help-seeking processes and learning outcomes. Learning and Instruction, 21(2), 257–266.
Marcos-García, J. A., Martínez-Monés, A., & Dimitriadis, Y. (2015). DESPRO: A method based on roles to provide collaboration analysis support adapted to the participants in CSCL situations. Computers & Education, 82, 335–353.
Mercer, N. (2000). Words and minds: How we use language to think together. Routledge.
Morris, M., Handcock, M. S., & Hunter, D. R. (2008). Specification of exponential-family random graph models: Terms and computational aspects. Journal of Statistical Software, 24(4), 1548.
Ng, P. M., Chan, J. K., & Lit, K. K. (2022). Student learning performance in online collaborative learning. Education and Information Technologies, 27(6), 8129–8145.
Oshima, J., Oshima, R., & Matsuzawa, Y. (2012). Knowledge building discourse explorer: A social network analysis application for knowledge building discourse. Educational Technology Research and Development, 60, 903–921.
Ouyang, F., & Xu, W. (2022). The effects of three instructor participatory roles on a small group’s collaborative concept mapping. Journal of Educational Computing Research, 60(4), 930–959.
Ouyang, F., Chen, Z., Cheng, M., Tang, Z., & Su, C. Y. (2021). Exploring the effect of three scaffoldings on the collaborative problem-solving processes in China’s higher education. International Journal of Educational Technology in Higher Education, 18(1), 1–22.
Ouyang, F., Chen, S., Yang, Y., & Chen, Y. (2022). Examining the effects of three group-level metacognitive scaffoldings on in-service teachers’ knowledge building. Journal of Educational Computing Research, 60(2), 352–379.
Piaget, J. (2002). Judgement and reasoning in the child. Routledge.
Pifarre, M., & Cobos, R. (2010). Promoting metacognitive skills through peer scaffolding in a CSCL environment. International Journal of Computer-Supported Collaborative Learning, 5, 237–253.
Raes, A., & Schellens, T. (2016). The effects of teacher-led class interventions during technology-enhanced science inquiry on students’ knowledge integration and basic need satisfaction. Computers & Education, 92, 125–141.
Robinson, C., & Taylor, C. (2013). Student voice as a contested practice: Power and participation in two student voice projects. Improving Schools, 16(1), 32–46.
Rodríguez-Triana, M. J., Prieto, L. P., Ley, T., de Jong, T., & Gillet, D. (2020). Social practices in teacher knowledge creation and innovation adoption: A large-scale study in an online instructional design community for inquiry learning. International Journal of Computer-Supported Collaborative Learning, 15(4), 445–467.
Sandoval, W. A. (2005). Understanding students’ practical epistemologies and their influence on learning through inquiry. Science Education, 89(4), 634–656.
Scardamalia, M., & Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In K. Sawyer (Ed.), Cambridge Handbook of the Learning sciences (pp. 97–118). Cambridge University.
Scheer, A., Noweski, C., & Meinel, C. (2012). Transforming constructivist learning into action: Design thinking in education. Design and Technology Education: An International Journal, 17(3), 8–19.
Schöggl, J. P., Baumgartner, R. J., & Hofer, D. (2017). Improving sustainability performance in early phases of product design: A checklist for sustainable product development tested in the automotive industry. Journal of Cleaner Production, 140, 1602–1617.
Shaffer, D., & Ruis, A. (2017). Epistemic network analysis: A worked example of theory-based learning analytics. In C. Lang, G. Siemens, A. Wise, & D. Gasevic (Eds.), Handbook of Learning Analytics (pp. 175–187). Solar.
Shaffer, D. W., Collier, W., & Ruis, A. R. (2016). A tutorial on epistemic network analysis: Analyzing the structure of connections in cognitive, social, and interaction data. Journal of Learning Analytics, 3(3), 9–45.
Shin, S., Brush, T. A., & Glazewski, K. D. (2020a). Patterns of peer scaffolding in technology-enhanced inquiry classrooms: Application of social network analysis. Educational Technology Research and Development, 68(5), 2321–2350.
Shin, S., Brush, T. A., & Glazewski, K. D. (2020b). Examining the hard, peer, and teacher scaffolding framework in inquiry-based technology-enhanced learning environments: Impact on academic achievement and group performance. Educational Technology Research and Development, 68(5), 2423–2447.
Swiecki, Z., & Shaffer, D. W. (2020). iSENS: An integrated approach to combining epistemic and social network analyses. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (pp. 305–313). ACM.
Tong, Y., & Chan, C. K. (2023). Promoting knowledge building through meta-discourse and epistemic discourse understanding. International Journal of Computer-Supported Collaborative Learning, 18(3), 353–391.
Tong, Y., Yang, C., & Chen, G. (2023). A visual learning analytics approach for knowledge building: Impact on students’ epistemic understanding of discourse, productive inquiry and domain knowledge. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13409. Advanced online publication.
Vaara, E., & Whittle, A. (2022). Common sense, new sense or non-sense? A critical discursive perspective on power in collective sensemaking. Journal of Management Studies, 59(3), 755–781.
van Aalst, J. (2009). Distinguishing knowledge-sharing, knowledge-construction, and knowledge-creation discourses. International Journal of Computer-Supported Collaborative Learning, 4(3), 259–287.
Vygotsky, L. S. (1978). Mind in society: The development of higher mental process. Harvard.
Wang, C., Gao, B., & Chen, S. (2023). The effects of metacognitive scaffolding of project-based learning environments on students’ metacognitive ability and computational thinking. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12022-x. Advanced online publication.
Wise, A. F., Cui, Y., & Vytasek, J. (2016). Bringing order to chaos in MOOC discussion forums with content-related thread identification. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 188–197).
Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Child Psychology & Psychiatry & Allied Disciplines, 17(2), 89–100.
Wu, L., Li, J., Liu, Q., He, L., Yang, W., Zhang, Y., & Cheng, Y. (2021). Information measures of knowledge contribution: A new method to measure knowledge contribution in collaborative knowledge building: An information theory perspective. Journal of Educational Computing Research, 59(7), 1319–1342.
Wu, X., He, Z., Li, M., Han, Z., & Huang, C. (2022). Identifying learners’ interaction patterns in an online learning community. International Journal of Environmental Research and Public Health, 19(4), 2245.
Yang, Y., Chen, Q., Yu, Y., Feng, X., & van Aalst, J. (2020a). Collective reflective assessment for shared epistemic agency by undergraduates in knowledge building. British Journal of Educational Technology, 51(4), 1136–1154.
Yang, Y., van Aalst, J., & Chan, C. K. (2020b). Dynamics of reflective assessment and knowledge building for academically low-achieving students. American Educational Research Journal, 57(3), 1241–1289.
Yang, Y., van Aalst, J., & Chan, C. (2021). Examining online discourse using the knowledge connection analyzer framework and collaborative tools in knowledge building. Sustainability, 13(14), 8045.
Yang, Y., Yuan, K., Feng, X., Li, X., & van Aalst, J. (2022a). Fostering low-achieving students’ productive disciplinary engagement through knowledge‐building inquiry and reflective assessment. British Journal of Educational Technology, 53(6), 1511–1529.
Yang, Y., Zhu, G., Sun, D., & Chan, C. K. (2022b). Collaborative analytics-supported reflective assessment for scaffolding pre-service teachers’ collaborative inquiry and knowledge building. International Journal of Computer-Supported Collaborative Learning, 17, 1–44.
Yang, Y., Yuan, K., Zhu, G., & Jiao, L. (2024). Collaborative analytics-enhanced reflective assessment to foster conducive epistemic emotions in knowledge building. Computers & Education, 209, 104950.
Yücel, Ü. A., & Usluel, Y. K. (2016). Knowledge building and the quantity, content and quality of the interaction and participation of students in an online collaborative learning environment. Computers & Education, 97, 31–48.
Zhang, S., Gao, Q., Sun, M., Cai, Z., Li, H., Tang, Y., & Liu, Q. (2022). Understanding student teachers’ collaborative problem solving: Insights from an epistemic network analysis (ENA). Computers & Education, 183, 104485.
Zheng, L., Niu, J., Long, M., & Fan, Y. (2023). An automatic knowledge graph construction approach to promoting collaborative knowledge building, group performance, social interaction and socially shared regulation in CSCL. British Journal of Educational Technology, 54(3), 686–711.
Zhu, G., & Lin, F. (2023). Teachers scaffold student discourse and emotions in knowledge building classrooms. Interactive Learning Environments, 1–18. https://doi.org/10.1080/10494820.2023.2172046
Zhu, G., Raman, P., Xing, W., & Slotta, J. (2021). Curriculum design for social, cognitive and emotional engagement in knowledge building. International Journal of Educational Technology in Higher Education, 18(1), 1–19.
Zhu, G., Chai, S., & Ding, M. (2023). Exploring pre-service teachers’ democratizing knowledge in a knowledge building community: Indicators and results. The Asia-Pacific Education Researcher, 32(3), 401–415.
Acknowledgements
The authors are indebted to the participants who made this research possible and to the editor and reviewers who greatly helped strengthen this paper.
Funding
This study is not supported by any funding sources.
Author information
Authors and Affiliations
Contributions
All authors contributed to the writing of this manuscript. The work of Zuokun Li included designing the study, collecting and analyzing the data, interpreting the results, and writing the initial draft of the manuscript. Pey-Tee Emily Oon contributed by critically reviewing the manuscript and providing valuable input in writing and editing. Shaoming Chai made contributions in the areas of conceptualization, writing, reviewing, and editing, as well as providing project supervision.
Corresponding author
Ethics declarations
Competing interests
The authors declare no potential conflict of interest in the work.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Li, Z., Oon, PT.E. & Chai, S. Examining the impact of teacher scaffolding in the knowledge building environment: Insights from students’ interaction patterns, social epistemic networks, and academic performance. Educ Inf Technol (2024). https://doi.org/10.1007/s10639-024-12535-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10639-024-12535-z