A layered framework for evaluating on-line collaborative learning interactions
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Increasing Participation in Distance Learning Courses
IEEE Internet Computing
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Assessment of (Computer-Supported) Collaborative Learning
IEEE Transactions on Learning Technologies
Academic analytics landscape at the University of Phoenix
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
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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.