1,099
Views
30
CrossRef citations to date
0
Altmetric
Articles

Illustrating performance indicators and course characteristics to support students’ self-regulated learning in CS1

, , &
Pages 174-198 | Received 15 Nov 2014, Accepted 16 Jan 2015, Published online: 05 May 2015
 

Abstract

In higher education, quality feedback for students is regarded as one of the main contributors to improve student learning. Feedback to support students’ development into self-regulated learners, who set their own goals, self-monitor their actual performance according to these goals, and adjust learning strategies if necessary, is seen as an important aspect of contemporary feedback practice. However, only those students who are aware of the course demands and the impact of certain study behaviors on their final achievement are in a position to self-regulate their learning on an informed basis. Learning analytics is an emerging field primarily concerned with using predictive models to inform educational instructors or learners about projected study outcomes. In a scoping study, over 200 students of an introductory programming course (CS1) were supplied with information revealing performance indicators for different stages on the course and projecting final performance for various achievement levels. The study was set out to explore the impact of this type of feedback in the confined context of a CS1 course as well as to learn about students’ attitudes toward diagnostic course data in general. The results from the study suggest that students valued the information, but, despite high engagement with the information, students’ study behavior and learning outcome remained rather unaffected for the aspects investigated. Given these multi-layered results, we suggest further exploration on the provision of feedback based on diagnostic course data – a vital step toward more transparency for students to foster their active role in the learning process.

Acknowledgments

The development and evaluation of the infographic required the help of several people: We like to thank the interview participants; the design duo Kohlhaas and Kohlhaas for their critical revisions of the infographic; all the tutors from COMP160 for giving the infographic a go before the roll out, and Sandy Garner for getting all necessary changes into the laboratory book at very short notice. Also we want to thank all the students taking COMP160 in 2011 to 2013 for their participation in the online survey and their valuable feedback via the questionnaire and interviews in 2013.

Disclosure statement

No potential conflict of interest was reported by the authors.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.