A generative computer language to customize online learning assessments

Authors:
Antonio Balderas;Iván Ruiz-Rube;Manuel Palomo-Duarte;Juan M. Dodero
Affiliations:
University of Cádiz, Spain, Cádiz;University of Cádiz, Spain, Cádiz;University of Cádiz, Spain, Cádiz;University of Cádiz, Spain, Cádiz
Venue:
Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
Year:
2013

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Abstract

The focus on assessment of learning experiences has shifted from knowledge to competences. Unfortunately, assessing certain competences is mainly a subjective task, being problematic for both the evaluators and the evaluated. Additionally, when the learning process is computer-supported and the number of students increases, traditional assessment procedures suffer from scalability problems. In this paper we introduce a system that supports grading learning competences according to students' performance in an online course. We automatically extract different objective indicators about students' work in a Learning Management System (LMS). Evaluators can use an assessment-specific query language to express a number of required indicators. Such indicators are automatically extracted from the activity logs generated by the LMS. A case study with Moodle LMS-based courses is carried out to explain how such indicators can be obtained and how to analyze the assessment results.