Proceedings of the International Joint Conference on Science and Engineering (IJCSE 2020)

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Application of K-Means Algorithm for Clustering Student’s Computer Programming Performance in Automatic Programming Assessment Tool

Authors
Anita Qoiriah, Rina Harimurti, Andi Iwan Nurhidayat, Asmunin
Corresponding Author
Anita Qoiriah
Available Online 24 November 2020.
DOI
10.2991/aer.k.201124.075How to use a DOI?
Keywords
programming assessment tool, programming, clustering, K-Means
Abstract

Programming is a course that is considered quite difficult for most students. Students are required to have abilities in all processes. Computer programming skills require a lot of practice through lab work assignments. Managing and assessing results of a student’s lab work assignment is complex and quite time-consuming task. The availability of automatic programming assessment tools to receive the results of lab work assignments and automatically correct and assess can ease the task of a lecturer. Grouping students according to their level of performance, makes it easy for lecturers to monitor student performance levels and can provide learning according to students’ abilities. Grouping was done using K-Means clustering method. Data was score obtained from the lab work assignment of the Automatic Programming Assessment Tool. From the results of clustering, there were 3 groups of students based on their abilities, namely 16 people in the medium ability group, 11 people were students with high ability and 14 people were students whose programming abilities were still lacking.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Joint Conference on Science and Engineering (IJCSE 2020)
Series
Advances in Engineering Research
Publication Date
24 November 2020
ISBN
10.2991/aer.k.201124.075
ISSN
2352-5401
DOI
10.2991/aer.k.201124.075How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Anita Qoiriah
AU  - Rina Harimurti
AU  - Andi Iwan Nurhidayat
AU  - Asmunin
PY  - 2020
DA  - 2020/11/24
TI  - Application of K-Means Algorithm for Clustering Student’s Computer Programming Performance in Automatic Programming Assessment Tool
BT  - Proceedings of the International Joint Conference on Science and Engineering (IJCSE 2020)
PB  - Atlantis Press
SP  - 421
EP  - 425
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.201124.075
DO  - 10.2991/aer.k.201124.075
ID  - Qoiriah2020
ER  -