Troubleshooters for Tasks of Introductory Programming MOOCs ARTICLE
Marina Lepp, University of Tartu ; Tauno Palts, Piret Luik, Kaspar Papli, Reelika Suviste, Merilin Säde, Kaspar Hollo, Vello Vaherpuu, Eno Tõnisson
IRRODL Volume 19, Number 4, ISSN 1492-3831 Publisher: Athabasca University Press
Learning programming has become more and more popular and organizing introductory massive open online courses (MOOCs) on programming can be one way to bring this education to the masses. While programming MOOCs usually use automated assessment to give feedback on the submitted code, the lack of understanding of certain aspects of the tasks and feedback given by the automated assessment system can be one persistent problem for many participants. This paper introduces troubleshooters, which are help systems, structured like decision trees, for giving hints and examples of certain aspects of the course tasks. The goal of this paper is to give an overview of usability (benefits and dangers) of, and the participants’ feedback on, using troubleshooters. Troubleshooters have been used from the year 2016 in two different programming MOOCs for adults in Estonia. These MOOCs are characterized by high completion rates (50–70%), which is unusual for MOOCs. Data is gathered from the learning analytics integrated into the troubleshooters’ environment, letters from the participants, questionnaires, and tasks conducted through the courses. As it was not compulsory to use troubleshooters, the results indicate that only 19.8% of the users did not use troubleshooters at all and 10% of the participants did not find troubleshooters helpful at all. The main difference that appeared is that the number of questions asked from the organizers about the programming tasks during the courses via helpdesk declined about 29%.
Lepp, M., Palts, T., Luik, P., Papli, K., Suviste, R., Säde, M., Hollo, K., Vaherpuu, V. & Tõnisson, E. (2018). Troubleshooters for Tasks of Introductory Programming MOOCs. The International Review of Research in Open and Distributed Learning, 19(4),. Athabasca University Press. Retrieved October 17, 2018 from https://www.learntechlib.org/p/184783/.
© 2018 Athabasca University Press
- Admiraal, W., Huisman, B., & Pilli, O. (2015). Assessment in massive open online courses. Electronic Journal of e-Learning, 13(4), 207-216.
- Anderson, A., Huttenlocher, D., Kleinberg, J., & Leskovec. J. (2014). Engaging with massive online courses. In Proceedings of the 23rd International Conference on WorldWide Web (WWW '14), 687-698. ACM, New York, NY, USA.
- Baturay, M.H. (2015). An overview of the world of MOOCs. Procedia-Social and Behavioral Sciences, 174, 427-433.
- Downes, S. (2017). New models of open and distributed learning. In M. Jemni, Kinshuk, & M. Khribi
- Hew, K.F., & Cheung, W.S. (2014). Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges. Educational Research Review, 12, 45–58.
- Hone, K.S., & El Said, G.R. (2016). Exploring the factors affecting MOOC retention: A survey study. Computers& Education, 98, 157-168.
- Jordan, K. (2014). Initial trends in enrolment and completion of massive open online courses. The
- Motsuk, K. (1999). The student helpdesk: student information technology support at Georgetown University. In Proceedings of the 27th Annual ACM SIGUCCS Conference on User Services: Mile High Expectations (SIGUCCS '99), 172-175. ACM, New York, NY, USA.
- Muuli, E., Papli, K., Tõnisson, E., Lepp, M., Palts, T., Suviste, R., Säde, M., & Luik, P. (2017). Automatic assessment of programming assignments using image recognition. In É. Lavoué, H. Drachsler, K.
- Veletsianos, G., & Shepherdson, P. (2016). A systematic analysis and synthesis of the empirical mooc literature published in 2013–2015. International Review of Research in Open and Distributed Learning, 17(2). Doi:10.19173/irrodl.v17i2.2448
- Vihavainen, A., Luukkainen, M., & Kurhila, J. (2012). Multi-faceted support for MOOC in programming. In Proceedings of the 13th Annual Conference on Information Technology Education, 171-176.
These references have been extracted automatically and may have some errors. If you see a mistake in the references above, please contact email@example.com.