Abstract
The broader education research community has adopted co-design, or participatory design, as a method to increase adoption of innovations in classrooms and to support professional learning of teachers. However, it can be challenging, due to co-design’s dynamic nature, to closely investigate how the co-process played out over time, and how it led to changes in teachers’ perceptions, beliefs, and/or practices. Applying Quantitative Ethnography, we investigate how teachers and researchers collaboratively designed assessment metrics and data visualizations for an educational math game; we discuss the interactions among the co-design activities, teachers’ learning, and qualities of the dashboard created as the output of the process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Clark, D.B., Tanner-Smith, E.E., Killingsworth, S.S.: Digital games, design, and learning: a systematic review and meta-analysis. Rev. Educ. Res. 86, 79–122 (2016). https://doi.org/10.3102/0034654315582065
Shute, V.J., Masduki, I., Donmez, O.: Conceptual Framework for Modeling, Assessing and Supporting Competencies within Game Environments, pp. 1–25 (2011)
Lodge, J.M., Horvath, J.C., Corrin, L.: Learning Analytics in the Classroom: Translating Learning Analytics Research for Teachers. Routledge, Abingdon (2018)
Sanders, E.B.-N., Stappers, P.J.: Co-creation and the new landscapes of design. Co-design 4, 5–18 (2008)
Sanders, E.B.-N., Stappers, P.J.: Probes, toolkits and prototypes: three approaches to making in codesigning. CoDesign 10, 5–14 (2014)
Kumar, V.: 101 Design Methods: A Structured Approach for Driving Innovation in Your Organization. Wiley, Hoboken (2012)
Gravemeijer, K., van Eerde, D.: Design research as a means for building a knowledge base for teachers and teaching in mathematics education. Elementary Sch. J. 109, 510–524 (2009)
Voogt, J., Laferrière, T., Breuleux, A., Itow, R., Hickey, D., McKenney, S.: Collaborative design as a form of professional development: in the context of curriculum reform. In: 2015 Annual Meeting of the American Educational Research Association: Toward Justice: Culture, Language, and Heritage in Education Research and Praxis (2015)
Tsai, Y.-S., Gasevic, D.: Learning analytics in higher education—Challenges and policies: a review of eight learning analytics policies. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference, pp. 233–242 (2017)
Luckin, R.: Machine Learning and Human Intelligence: The future of education for the 21st century. ERIC (2018)
Rudin, C.: Algorithms for interpretable machine learning. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p. 1519 (2014)
Kim, Y.J., Lin, G., Ruipérez-Valiente, J.A.: Expanding teacher assessment literacy with the use of data visualizations in game-based assessment. In: Sahin, M., Ifenthaler, D. (eds.) Visualizations and Dashboards for Learning Analytics. AALT, pp. 399–419. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-81222-5_18
Marquart, C., Swiecki, Z., Eagan, B., Shaffer, D.W.: ncodeR: techniques for automated classifiers [R package] (2019)
Brohinsky, J., Marquart, C., Wang, J., Ruis, A.R., Shaffer, D.W.: Trajectories in epistemic network analysis. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 106–121. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67788-6_8
Knowles, M., Shaffer, D.W.: Hierarchical epistemic network analysis. In: Second International Conference on Quantitative Ethnography: Conference Proceedings Supplement. ICQE (2021)
Buckingham Shum, S., Crick, R.D.: Learning analytics for 21st century competencies. J. Learn. Anal. 3, 6–21 (2016)
Ahn, J., Campos, F., Hays, M., DiGiacombo, D.: Designing in context: reaching beyond usability in learning analytics dashboard design. JLA 6, 70–85 (2019). https://doi.org/10.18608/jla.2019.62.5
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kim, Y.J., Scianna, J., Knowles, M.A. (2023). How Can We Co-design Learning Analytics for Game-Based Assessment: ENA Analysis. In: Damşa, C., Barany, A. (eds) Advances in Quantitative Ethnography. ICQE 2022. Communications in Computer and Information Science, vol 1785. Springer, Cham. https://doi.org/10.1007/978-3-031-31726-2_15
Download citation
DOI: https://doi.org/10.1007/978-3-031-31726-2_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-31725-5
Online ISBN: 978-3-031-31726-2
eBook Packages: Computer ScienceComputer Science (R0)