Abstract
In this chapter, the impact of assigned roles and cross-age peer tutors on knowledge elaboration, knowledge convergence, and learning performance in synchronous online learning environment are investigated. Four fundamental roles were selected: information searcher, explainer, coordinator, and summarizer. The graduate students were designated as cross-age peer tutors, and they were randomly assigned to each group. The knowledge map analytical approach was adopted to analyze and calculate the level of knowledge elaboration and knowledge convergence. The results indicated that there were significant differences in the level of knowledge elaboration and knowledge convergence between the assigned roles groups and group neither roles nor tutors. The significant differences between the group with tutors and the group neither roles nor tutors were also found in the level of knowledge elaboration and knowledge convergence. However, there was no significant difference in group performance among these three conditions. The implications for educators and practitioners as well as future directions are discussed in detail.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rourke, L., & Anderson, T. (2002). Using peer teams to lead online discussions. Journal of Interactive Media in Education, 1, 1–21.
Ng, K. C. (2007). Replacing face-to-face tutorials by synchronous online technologies: Challenges and pedagogical implications. The International Review of Research in Open and Distance Learning, 8(1), 1–15.
Weinberger, A., Ertl, B., Fischer, F., & Mandl, H. (2005). Epistemic and social scripts in computer–supported collaborative learning. Instructional Science, 33(1), 1–30.
Dillenbourg, P. (2002). Over-scripting CSCL: The risks of blending collaborative learning with instructional design. In P. A. Kirschner (Ed.), Three worlds of CSCL: Can we support CSCL? (pp. 61–91). Heerlen, The Netherlands: Open Universiteit Nederland.
Hare, A. P. (1994). Types of roles in small groups: A bit of history and a current perspective. Small Group Research, 25(3), 443–448.
Strijbos, J. W., Martens, R. L., Jochems, W. M., & Broers, N. J. (2007). The effect of functional roles on perceived group efficiency during computer-supported collaborative learning: a matter of triangulation. Computers in Human Behavior, 23(1), 353–380.
De Wever, B., Schellens, T., Van Keer, H., & Valcke, M. (2008). Structuring asynchronous discussion groups by introducing roles: Do students act in line with assigned roles? Small Group Research, 39(6), 770–794.
Ching, Y. H. (2014). Exploring the impact of role-playing on peer feedback in an online case-based learning activity. The International Review of Research in Open and Distance Learning, 15(3), 292–311.
Zhu, E. (1996). Meaning negotiation, knowledge construction, and mentoring in a distance learning course. In Proceedings of Selected Research and Development Presentations at the National Convention of the Association for Educational Communications and Technology (pp. 821–844). Available from ERIC documents ED 397 849 at http://eric.ed.gov/ERICWebPortal/recordDetail?accno=ED397849. Indianapolis, IN.
Roscoe, R. D., & Chi, M. T. (2007). Understanding tutor learning: Knowledge-building and knowledge-telling in peer tutors’ explanations and questions. Review of Educational Research, 77(4), 534–574.
Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer supported collaborative learning: An historical perspective. In K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (pp. 409–426). New York: Cambridge University Press.
De Wever, B., Van Keer, H., Schellens, T., & Valcke, M. (2010). Structuring asynchronous discussion groups: Comparing scripting by assigning roles with regulation by cross-age peer tutors. Learning and Instruction, 20(5), 349–360.
Vygotsky, L. S. (1978). Mind in society: the development of higher mental processes. Cambridge: Harvard University Press.
Kester, L., Sloep, P. B., Van Rosmalen, P., Brouns, F., Kone, M., & Koper, R. (2007). Facilitating community building in learning networks through peer tutoring in ad hoc transient communities. International Journal of Web Based Communities, 3(2), 198–205.
Smet, M. D., Keer, H. V., Wever, B. D., & Valcke, M. (2010). Cross-age peer tutors in asynchronous discussion groups: Exploring the impact of three types of tutor training on patterns in tutor support and on tutor characteristics. Computers and Education, 54(4), 1167–1181.
Kalyuga, S. (2009). Knowledge elaboration: A cognitive load perspective. Learning and Instruction, 19(5), 402–410.
Gleaves, A., & Walker, C. (2013). Richness, redundancy or relational salience? A comparison of the effect of textual and aural feedback modes on knowledge elaboration in higher education students’ work. Computers and Education, 62, 249–261.
Eysink, T. H., & de Jong, T. (2012). Does instructional approach matter? How elaboration plays a crucial role in multimedia learning. Journal of the Learning Sciences, 21(4), 583–625.
Zheng, L. Q., Yang, K. C., & Huang, R. H. (2012). Analyzing Interactions by an IIS-map-based method in face-to-face collaborative learning: An empirical study. Educational Technology and Society, 15(3), 116–132.
Suthers, D. D., Dwyer, N., Medina, R., & Vatrapu, R. (2010). A framework for conceptualizing, representing, and analyzing distributed interaction. International Journal of Computer Supported Collaborative Learning, 5(1), 5–42.
Zheng, L., Chen, N. S., Huang, R., & Yang, K. (2014). A novel approach to assess collaborative learning processes and group performance through the knowledge convergence. Journal of Computers in Education, 1, 1–19.
Jeong, H., & Chi, M. (2007). Knowledge convergence and collaborative learning. Instructional Science, 35(4), 287–315.
Clariana, R., Draper, D., & Land, S. (2011). An automated measure of group knowledge structure convergence. Paper presented at the annual meeting of the AECT International Convention. Retrieved September 22, 2014, from http://www.personal.psu.edu/rbc4/AECT_2011.pdf.
Zheng, L., Huang, R., Hwang, G.-J., & Yang, K. (2015). Measuring knowledge elaboration based on a computer-assisted knowledge map analytical approach to collaborative learning. Educational Technology and Society, 18(1), 321–336.
Evans, M. J., & Moore, J. S. (2013). Peer tutoring with the aid of the Internet. British Journal of Educational Technology, 44(1), 144–155.
Acknowledgement
This study was supported by the Fundamental Research Funds for the Central Universities.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Zheng, L. (2016). The Impact of Assigned Roles and Cross-Age Peer Tutors on Knowledge Elaboration, Knowledge Convergence, and Group Performance in Synchronous Online Learning Environment. In: Li, Y., et al. State-of-the-Art and Future Directions of Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-287-868-7_25
Download citation
DOI: https://doi.org/10.1007/978-981-287-868-7_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-866-3
Online ISBN: 978-981-287-868-7
eBook Packages: EducationEducation (R0)