Abstract
This paper presents experiences of teaching technically demanding content in online and higher education context by utilizing learning analytics. The aim is to study how students learn technically demanding content in an online course in the light of learning analytics. The results of this paper are based on a pilot course implementation. The pilot course, Basics of data analytics, was taught as virtual, open university course during Spring 2024 in Finland. In the course implementation, students were provided distance learning materials, and they had practical SQL exercises that were provided through Azure Data Studio cloud service. In the final course examination that was provided through a learning platform called Moodle, students were tested by filling up SQL sentences. The virtual learning environment, including the SQL server, Azure Data Studio and Moodle, provided the possibility to follow the amount and quality of the students’ practical rehearsals. These were then further compared with the measurable examination results that the students’ gained in the end of the course. The full paper presents the results of the learning analytics and shed light on the further development of teaching technically demanding content in distant mode.
Author Information
Hurri Päivi, South-Eastern Finland University of Applied Sciences, Finland
Helander Nina, South-Eastern Finland University of Applied Sciences, Finland
Ansamäki Jarkko, South-Eastern Finland University of Applied Sciences, Finland
Reijonen Atte, South-Eastern Finland University of Applied Sciences, Finland
Paper Information
Conference: BCE2024
Stream: Higher education
This paper is part of the BCE2024 Conference Proceedings (View)
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To cite this article:
Päivi H., Nina H., Jarkko A., & Atte R. (2025) Does Practice Make Perfect? Teaching Technically Demanding Content in Distant Mode in Higher Education ISSN: 2435-9467 – The Barcelona Conference on Education 2024: Official Conference Proceedings (pp. 945-953) https://doi.org/10.22492/issn.2435-9467.2024.80
To link to this article: https://doi.org/10.22492/issn.2435-9467.2024.80
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