A model for gamifying programming education: University-level programming course quantified




Kaila Erkki, Laakso Mikko-Jussi, Rajala Teemu, Kurvinen Einari

Karolj Skala, Marko Koricic, Tihana Galinac Grbac, Marina Cicin-Sain, Vlado Sruk, Slobodan Ribaric, Stjepan Gros, Boris Vrdoljak, Mladen Mauher, Edvard Tijan, Predrag Pale, Matej Janjic

International Convention on Information and Communication Technology, Electronics and Microelectronics

PublisherInstitute of Electrical and Electronics Engineers Inc.

2018

International Convention on Information and Communication Technology, Electronics and Microelectronics

2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 - Proceedings

689

694

978-953-233-097-7

978-953-233-095-3

1847-3938

DOIhttps://doi.org/10.23919/MIPRO.2018.8400129

https://research.utu.fi/converis/portal/detail/Publication/35739177



Utilizing gamification in course holistically requires that all areas of the course can be quantified, and the progress made transparent to students as well. However, keeping track of all students' scores, submissions and other tasks can be too big of a workload to be practical, especially in the larger courses. We have successfully adapted a collaborative education tool to university-level programming courses. The tool is used to record student performance in all areas of the course, including for example attendances, demonstration and tutorial scores, weekly surveys and additional exercises. In addition to providing comprehensive statistics to teachers, all progress is also visible to students in real time. In this paper, we describe the redesign of the course, with gamification and transparency to students in focus. Moreover, we analyze students' scores in different components of the course, and find out if there are correlations to be found between different areas. The results seem to indicate, that methods emphasizing active learning are the most beneficial for students' performance in the course.


Last updated on 2024-26-11 at 21:22