Abstract
Institutions of higher education have increasingly embraced flipped classroom and online teaching approaches to manage large-scale classes with several hundreds of students. In parallel with growing demand of this type of educational and pedagogical approach, substantial improvements have occurred in related technologies and tools. Current online platforms and tools are generating a considerable volume of data. Educators can use the collected data sets to further improve teaching and learning methods. However, there are some limitations: First, the existing data are hidden between the deep layers of the current platforms and educators may barely be aware of their existence. Second, some of the existing raw data needs a substantial data mining and data analytic effort to convert them to useful information for decision-making purposes. Third, there is a lack of communication between educators and architects of the online teaching and learning management systems and tools.
The focus of this paper is twofold: (1) provide a set of informative recommendations that help educators to use many years of available recorded data on large-scale courses to improve their teaching methods; (2) reveal opportunities for data analytics research that can lead to improvement of current teaching and learning tools and platforms.
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Moussavi, M., Amannejad, Y., Moshirpour, M., Marasco, E., Behjat, L. (2020). Importance of Data Analytics for Improving Teaching and Learning Methods. In: Alhajj, R., Moshirpour, M., Far, B. (eds) Data Management and Analysis. Studies in Big Data, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-030-32587-9_6
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DOI: https://doi.org/10.1007/978-3-030-32587-9_6
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