DATA UNIFICATION UTILIZING E-RUBRIC FOR LEARNER ASSESSMENT ON E-LEARNING WITH OBE APPROACH

Yuniarti, Wenty Dwi and Hartati, Sri and Priyanta, Sigit and Surjono, Herman Dwi (2022) DATA UNIFICATION UTILIZING E-RUBRIC FOR LEARNER ASSESSMENT ON E-LEARNING WITH OBE APPROACH. ICIC Express Letters, 17 (8). pp. 927-935. ISSN 1881803X

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Abstract

The speed of technology utilization and the need for innovation can be seen in the rapid movement of learning towards online learning, including e-Learning. Outcome
Based Education (OBE) is a strategy for bridging learning with the need for innovation. OBE promotes constructive alignment between learning outcomes, processes, and
assessments. OBE is required in e-Learning, with assessments as an essential component. Unfortunately, assessment problems in e-Learning still exist, one of which is the limitations of e-Learning in accommodating and processing various assessment data, even though the variety of data, both numerical and linguistic, supports a comprehensive assessment according to OBE. This research proposes providing an e-Rubric on e-Learning to accommodate assessment data in linguistic. Furthermore, the assessment data, both numerical data obtained from the assessment module and linguistic data obtained from e-Rubric, were unified using the 2-tuple fuzzy linguistic. The result showed that the level of achievement presented in 2-tuple linguistic (s, α) could distinguish each learner’s ability more specifically, where s indicates the level of ability in linguistic terms and α is a numeric value that shows the comparison of abilities with other learners, and the potential to achieve higher abilities. This model has the potential to be applied to a learner assessment system on e-Learning with the OBE approach

Item Type: Article
Uncontrolled Keywords: Learner assessment, e-Learning, OBE, Unification, e-Rubric
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Erlita Cahyaningtyas Cahyaningtyas
Date Deposited: 11 Sep 2024 03:08
Last Modified: 11 Sep 2024 03:08
URI: https://ir.lib.ugm.ac.id/id/eprint/3675

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