Published
2017-11-07
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Presentation
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This work is licensed under a Creative Commons Attribution 4.0 International License.
BoSCO: A tool to bridge learning analytics and curricular design
Xavier Prat-Resina
University of Minnesota Rochester
Keywords: learning analytics, curricular design, student data analysis, learning outcomes assessment
Abstract
The disconnect between data collection and analysis across sectors of academic institutions makes it challenging to incorporate data into curricular design. Understanding the factors related to student persistence and success is unlikely to occur by focusing only on one sector at a time. Facilitating evidence-based course design might begin with the creation of a tool that allows real-time exploration of data across sectors for integration into the traditional course/curricular design. Our paper describes how data from institutional, learning, and what we call “developmental” analytics can be incorporated into course and curricular design by using a purposefully built analysis tool that permits the exploration of student and course objects. This Browser of Student and Course Objects (BoSCO) is being built in a faculty driven-process and can be used as a bridge between the analytics space and the course/curriculum design environments.
BoSCO is an open source project developed by faculty at UMR that helps instructors select, filter and represent different kinds of student data that should immediately inform them of the success of student performance and course delivery.
Related URL: https://sites.google.com/a/r.umn.edu/prat-resina/research/bosco
Author Biography
Xavier Prat-Resina, University of Minnesota Rochester
Xavier Prat-Resina has a PhD in Physical Chemistry. He is a faculty member at the “Center for Learning Innovation” in the Uof M Rochester campus. His interests are the design of web materials to enhance student learning and to analyze student and course data to optimize the academic curriculum.
