Abstract
We develop indicators for teachers to monitor and regulate students’ collaborative writing on a web-based science learning environment. Visualizations of carefully selected indicators are proposed to teachers in order to facilitate the tracking, analysis and management of the students’ collaborative work process over time. Our research method is based on a user-centered approach. Via focus groups and interviews, teachers have participated in the design of the indicators and visualizations. This communication presents (a) the mapping from collected data to educational constructs underlying our analytical approach for collaborative writing, (b) indicators and visualizations produced to provide actionable insights to teachers, and (c) lessons learned from our iterative human-centered design process. The results are transferable to other learning environments and design processes.
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References
Jørnø, R.L., Gynther, K.: What constitutes an ‘actionable insight’ in learning analytics? Learn. Anal. 5 (2018)
Sedrakyan, G., Mannens, E., Verbert, K.: Guiding the choice of learning dashboard visualizations: linking dashboard design and data visualization concepts. J. Comput. Lang. 50, 19–38 (2019)
Olson, J.S., Wang, D., Olson, G.M., Zhang, J.: How people write together now: beginning the investigation with advanced undergraduates in a project course. ACM Trans. Comput.-Hum. Interact. 24, 4:1–4:40 (2017)
Onrubia, J., Engel, A.: Strategies for collaborative writing and phases of knowledge construction in CSCL environments. Comput. Educ. 53, 1256–1265 (2009)
Sundgren, M., Jaldemark, J.: Visualizing online collaborative writing strategies in higher education group assignments. IJILT 37, 351–373 (2020)
Kobbe, L., et al.: Specifying computer-supported collaboration scripts. Comput. Supp. Learn. 2, 211–224 (2007)
Posner, I.R., Baecker, R.M.: How people write together (groupware). In: Proceedings of the 25th Hawaii International Conference on System Sciences, pp. 127–138. IEEE (1992)
Lowry, P.B., Curtis, A., Lowry, M.R.: Building a taxonomy and nomenclature of collaborative writing to improve interdisciplinary research and practice. J. Bus. Commun. 41, 66–99 (2004)
Limbu, L., Markauskaite, L.: How do learners experience joint writing: university students’ conceptions of online collaborative writing tasks and environments. Comput. Educ. 82, 393–408 (2015)
Martinez-Maldonado, R., Gaševic, D., Echeverria, V., Fernandez Nieto, G., Swiecki, Z., Buckingham Shum, S.: What do you mean by collaboration analytics? A conceptual model. J. Learn. Anal. 8, 126–153 (2021)
Dillenbourg, P.: What do you mean by collaborative learning? In: Dillenbourg, P. (éd.) Collaborative-learning: Cognitive and Computational Approaches, pp. 1–19. Elsevier, Oxford (1999)
Larsen-Ledet, I., Korsgaard, H.: Territorial functioning in collaborative writing. Comput. Supp. Coop. Work (CSCW) 28(3–4), 391–433 (2019). https://doi.org/10.1007/s10606-019-09359-8
Wang, F., Hannafin, M.J.: Design-based research and technology-enhanced learning environments. ETR&D 53, 5–23 (2005)
d’Ham, C., Wajeman, C., Girault, I., Marzin Janvier, P.: Transposition des démarches expérimentales dans un environnement numérique de support. In: Actes des 11e rencontres scientifiques de l’ARDiST, Bruxelles, Belgique, pp. 705–716 (2020)
Mandran, N.: Traceable Human Experiment Design Research. ISTE Ltd./Wiley, Hoboken (2017)
Wang, D., Tan, H., Lu, T.: Why users do not want to write together when they are writing together: users’ rationales for today’s collaborative writing practices. Proc. ACM Hum.-Comput. Interact. 1, 107:1–107:18 (2017)
Gibson, A., Martinez-Maldonado, R.: That dashboard looks nice, but what does it mean?: Towards making meaning explicit in learning analytics design. In: Proceedings of the 29th Australian Conference on CHI, pp. 528–532. ACM, Brisbane (2017)
Michos, K., Lang, C., Hernández-Leo, D., Price-Dennis, D.: Involving teachers in learning analytics design: lessons learned from two case studies. In: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, pp. 94–99. Association for Computing Machinery, New York (2020)
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Hoffmann, C., Mandran, N., d’Ham, C., Rebaudo, S., Haddouche, M.A. (2022). Development of Actionable Insights for Regulating Students’ Collaborative Writing of Scientific Texts. In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, vol 13450. Springer, Cham. https://doi.org/10.1007/978-3-031-16290-9_47
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