Automated Assessment and Monitoring Support for Competency-Based Courses

• Published in: IEEE access Vol. 7; pp. 41043 - 41051
• Main Authors: Vargas, Hector, Heradio, Ruben, Chacon, Jesus, De La Torre, Luis, Farias, Gonzalo, Galan, Daniel, Dormido, Sebastian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Colleges & universities; Competency tests; Competency-based education; Computational modeling; course assessment; course monitoring; Education; Engineering education; Higher education institutions; learning outcome; Linguistics; Monitoring; Open source software; Teachers
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2019.2908160

Competency-based education is becoming increasingly adopted by higher education institutions all over the world. This paper presents a framework that assists instructors in this pedagogical paradigm and its corresponding open-source implementation. The framework supports the formal definition of competency assessment models and the students' evaluation under these models. It also provides distinct learning analytics for identifying course shortcomings and validating corrective actions instructors have introduced in a course. Finally, this paper reports the benefits of applying our framework to an engineering course at the Pontifical Catholic University, Valparaíso, Chile for three years.