Learners' Performance in a MOOC on Programming

In every course, there are learners who successfully pass assessments and complete the course. However, there are also those who fail the course for various reasons. One of such reasons may be related to success in assessment. Although performance in assessments has been studied before, there is a l...

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Main Authors: Lidia Feklistova (Author), Marina Lepp (Author), Piret Luik (Author)
Format: Book
Published: MDPI AG, 2021-09-01T00:00:00Z.
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001 doaj_edc85d6c2fb74cf5a88dfa438c0d18a6
042 |a dc 
100 1 0 |a Lidia Feklistova  |e author 
700 1 0 |a Marina Lepp  |e author 
700 1 0 |a Piret Luik  |e author 
245 0 0 |a Learners' Performance in a MOOC on Programming 
260 |b MDPI AG,   |c 2021-09-01T00:00:00Z. 
500 |a 10.3390/educsci11090521 
500 |a 2227-7102 
520 |a In every course, there are learners who successfully pass assessments and complete the course. However, there are also those who fail the course for various reasons. One of such reasons may be related to success in assessment. Although performance in assessments has been studied before, there is a lack of knowledge on the degree of variance between different types of learners in terms of scores and the number of resubmissions. In the paper, we analyse the performance in assessments demonstrated by non-completers and completers and by completers with different engagement levels and difficulty-resolving patterns. The data have been gathered from the Moodle statistics source based on the performance of 1065 participants, as regards their completion status, the number of attempts made per each programming task and quiz, and the score received per quiz. Quantitative analysis was performed with descriptive statistics and non-parametric tests. Non-completers and completers were similar in resubmissions per quiz, but the former, expectedly, made more resubmissions per programming task and received lower quiz scores. Completers made more attempts per task than per quiz. They could provide a correct solution with a few resubmissions and receive good scores already at a pragmatic engagement level. At the same time, the increased use of help sources in case of difficulties was also associated with a higher number of attempts and lower quiz scores received. The study may have implications in understanding the role of assessments in dropouts and how completers with different engagement and difficulty-resolving patterns cope with assessments. 
546 |a EN 
690 |a MOOC on programming 
690 |a performance in assessments 
690 |a non-completers 
690 |a completers 
690 |a engagement styles 
690 |a difficulty-resolving patterns 
690 |a Education 
690 |a L 
655 7 |a article  |2 local 
786 0 |n Education Sciences, Vol 11, Iss 9, p 521 (2021) 
787 0 |n https://www.mdpi.com/2227-7102/11/9/521 
787 0 |n https://doaj.org/toc/2227-7102 
856 4 1 |u https://doaj.org/article/edc85d6c2fb74cf5a88dfa438c0d18a6  |z Connect to this object online.