Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)

Algorithm of Assessment System in MOOCs Learning: Literature Review

Authors
Sumarsono1, *, Sutrisno2, Agung Fatwanto1
1Department of Informatic Engineering, UIN Sunan Kalijaga, Yogyakarta, Indonesia
2Department of Islamic Education, UIN Sunan Kalijaga, Yogyakarta, Indonesia
*Corresponding author. Email: sumarsono@uin-suka.ac.id
Corresponding Author
Sumarsono
Available Online 23 December 2021.
DOI
https://doi.org/10.2991/aer.k.211222.019How to use a DOI?
Keywords
assessment; algorithm; moocs; artificial intelligence
Abstract

Assessment of learners in the MOOCs online learning platform creates problems for teachers in using appropriate assessment strategies. The change from the traditional face-to-face learning model to the MOOCs online learning model does not necessarily apply traditional classroom assessment strategies to online classes. The traditional and online classroom assessment strategies are far different, teachers and participants do not meet face-to-face and do not know each other physically. The algorithm has a very important role in automating the assessment in accordance with the assessment strategy that is in accordance with the characteristics of online learning MOOCs. The purpose of this study is to identify the use of this type of algorithm in supporting the assessment strategy in the MOOCs system. The method used in this study is through a literature study using the Scopus and sciendirect database sources published between January 2013 to May 2021. The results show that formative and summative assessments are carried out automatically using algorithms classified as artificial intelligence. This can be used as a reference for the development of learning and assessment of adaptive MOOCs in accordance with the characteristics and learning objectives of the course.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)
Series
Advances in Engineering Research
Publication Date
23 December 2021
ISBN
978-94-6239-494-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/aer.k.211222.019How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Sumarsono
AU  - Sutrisno
AU  - Agung Fatwanto
PY  - 2021
DA  - 2021/12/23
TI  - Algorithm of Assessment System in MOOCs Learning: Literature Review
BT  - Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)
PB  - Atlantis Press
SP  - 116
EP  - 123
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211222.019
DO  - https://doi.org/10.2991/aer.k.211222.019
ID  - 2021
ER  -