Abstract
Even though the recent influx of tablets in primary education goes together with the vision that educational technologies will revolutionize education, empirical results supporting this claim are scarce. The adaptive educational technology in this research is used daily in primary classrooms and includes teacher dashboards. While students practice on the tablet, the technology displays real-time data of learner progress and performance in teacher dashboards. This study examines how teachers use the dashboards during lessons applying the Verberts’ learning analytic process model. Teacher dashboard consultations and resulting pedagogical actions were observed in mathematics lessons. In a following stimulated recall interview, a teacher was asked to elaborate on the knowledge he/she activated and his/her reasoning in interpreting the dashboard. The results indicate that teachers consult the dashboard on average 8,3 times per lesson, but great variation among teachers was found. Teachers activate existing knowledge about the class and students to interpret dashboard data. The pedagogical actions teachers take after dashboard consultation are mainly providing individual feedback and additional instruction. The results show that pedagogical actions preformed at teachers’ own initiative are mostly directed to low ability students, whereas actions after consulting the dashboard are more directed at middle and high ability students. These results indicate that extracted learning analytics, in the form of teacher dashboards are indeed influencing teachers’ pedagogical actions in daily classroom activities and may initiate behavior changes in teaching practices.
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References
Papamitsou, A., Economides, Z., Anastasios, A.: Learning analytics and educational data mining in practice: a systematic literature review of empirical evidence. J. Educ. Technol. Soc. 17(4), 49–64 (2014)
Tempelaar, D., Rienties, B., Giesbers, B.: In search for the most informative data for feedback generation: learning analytics in a data-rich context. Comput. Hum. Behav. 47, 157–167 (2015)
Fullan, M.: Systems Thinkers in Action. DfES Innovation with NCSL, London (2004)
Wise, A., Yuting, Z., Hausknecht, S.: Learning analytics for online discussions: embedded and extracted approaches. J. Learn. Anal. 1(2), 48–71 (2014)
Verbert, K., et al.: Learning analytics dashboard applications. Am. Behav. Sci. 57, 1500–1509 (2013)
Molenaar, I., van Schaik, A.: A methodology to investigate classroom usage of educational technologies on tablets. In: Aufenanger, S., Bastian, J. (eds.) Tablets in Schule und Unterricht. Forschungsergebnisse zum Einsatz digitaler Medien, pp. 87–116. Springer, Wiesbaden (2016)
Hutchins, E.: Distributed cognition. In: International Encyclopedia of the Social and Behavioral Sciences. Elsevier Science (2000)
Norman, D.A.: Cognitive Artifacts. Department of Cognitive Science, University of California, San Diego (1990)
Roelofs, E., Sanders, P.: Towards a framework for assessing teacher competence. Eur. J. Vocat. Training 40(1), 123–139 (2007)
Gersten, R., Keating, T., Becker, W.: The continued impact of the direct instruction model: longitudinal studies of follow through students. Educ. Treat. Children 11(4), 318–327 (1988)
Keuvelaar-van den Bergh, L.: Teacher Feedback During Active Learning: The Development and Evaluation of a Professional Development Program. Technische Universiteit, Eindhoven (2013)
Acknowledgements
We thank the team of bachelor students of Radboud University for collecting data, as well as master student Liset Onnink and post-doc Karly van Gorp.
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Molenaar, I., Knoop-van Campen, C. (2017). Teacher Dashboards in Practice: Usage and Impact. In: LavouĂ©, É., Drachsler, H., Verbert, K., Broisin, J., PĂ©rez-SanagustĂn, M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science(), vol 10474. Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_10
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DOI: https://doi.org/10.1007/978-3-319-66610-5_10
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