Assessing Students' Performance Using the Learning Analytics Enriched Rubrics

Dimopoulos, Ioannis and Petropoulou, Ourania and Retalis, Symeon (2013) Assessing Students' Performance Using the Learning Analytics Enriched Rubrics. In: Proceedings of the Third International Conference on Learning Analytics and Knowledge.

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Official URL: http://doi.acm.org/10.1145/2460296.2460335

Abstract

The assessment of students' performance in e-learning environments is a challenging and demanding task for the teachers. Focusing on this challenge, a new assessment tool, called Learning Analytics Enriched Rubric (LAe-R) is presented in this paper. LAe-R is based on the concept of assessment rubrics which is a very popular assessment technique in education. LAe-R contains "enriched" criteria and grading levels that are associated to data extracted from the analysis of learners' interaction and learning behavior in an e-learning environment. LAe-R has been developed as a plug-in for the Moodle learning management system. Via an example, we will show how LAe-R can be used by teachers and students.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: enriched assessment rubrics, interaction analysis indicators, learning analytics, students' assessment performance
Depositing User: Elizabeth Dalton
Date Deposited: 16 Dec 2019 23:40
Last Modified: 16 Dec 2019 23:40
URI: http://research.moodle.org/id/eprint/180

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