Quotation Aram, Michael, Mödritscher, Felix, Neumann, Gustaf, Andergassen, Monika. 2019. Handbook of Research on E-Assessment in Higher Education. In: A Grading Data Warehouse Approach to Measuring and Analyzing Learning Performance: From Grading to Competency-Oriented Assessment, Hrsg. Ana Azevedo, José Azevedo, 102-126. Pennsylvania: IGI Global.


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Abstract

E-assessment comprises a variety of activities in and beyond the classroom. However, traditional e-learning platforms support only a part of assessment (e.g., individual and group assignments, the grading of such activities, and student record management). Typically, such platforms lack competency orientation, or face performance issues due to increasing application complexity and usage intensity. To overcome technical limitations and provide a basis for competency-based assessment, the authors present an analytics component that is inspired by data warehouses. The potential of this artifact is elaborated, and the improvements are evaluated through a case study about Learn@WU, the LMS of WU Vienna. Although the focus was competency-based aggregation of learning results, early experiences show performance increases for retrieving simple grades of 45% to 98%. Sample scenarios demonstrate how to define and calculate indicators along activity hierarchies and competency graphs to enable the measurement of learning performance along both generic indicators and competency-oriented assessment.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Chapter in edited volume
Language English
Title Handbook of Research on E-Assessment in Higher Education
Title of whole publication A Grading Data Warehouse Approach to Measuring and Analyzing Learning Performance: From Grading to Competency-Oriented Assessment
Editor Ana Azevedo, José Azevedo
Page from 102
Page to 126
Location Pennsylvania
Publisher IGI Global
Year 2019
Reviewed? Y
Open Access N

Associations

People
Mödritscher, Felix (Former researcher)
Neumann, Gustaf (Details)
Andergassen, Monika (Details)
External
Aram, Michael (Vienna University of Economics and Business, Austria)
Organization
Information Systems and New Media IN (Details)
Research Institute for Computational Methods FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5838 E-learning, telelearning (Details)
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