Algorithm of Assessment System in MOOCs Learning: Literature Review
- https://doi.org/10.2991/aer.k.211222.019How to use a DOI?
- assessment; algorithm; moocs; artificial intelligence
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.
- © 2021 The Authors. Published by Atlantis Press International B.V.
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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 -