Learning Analytics & Assurance of Learning
Assurance of Learning and Competency-Based Education are increasingly important in universities, not only for accreditation and credit transfers: Learning Analytics is crucial for making educational goals measurable and actionable, which is beneficial for program managers, course instructors, and students.
Consequently, assessments need to be performed in a way so that student performance, with respect to the defined Learning Objectives, can be adequately measured, typically requiring the aggregation and analysis of data from various systems. Furthermore, course enrollment data and student information may reside in a dedicated university-wide, centrally managed information system, whereas course data might be managed by different departments in dedicated Learning Management Systems (LMS), making it hard to create meaningful analysis, particularly on the program/curriculum level.

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Selected Publications
Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework. M. Vierhauser, I. Groher, T. Antesteiner, C. Sauerwein, S. Hatmanstorfer. In 16th International Conference on Computer Supported Education, 2024 | [LINK] [PDF] | |
Towards Integrating Emerging AI Applications in SE Education. M. Vierhauser, I. Groher, T. Antensteiner, C. Sauerwein. IEEE Conference on Software Engineering Education and Training (CSEE&T), 2024 | [LINK] [PDF] | |
A Learning Analytics Dashboard for Improved Learning Outcomes and Diversity in Programming Classes. I. Groher, M. Vierhauser, E. Hartl. In 16th International Conference on Computer Supported Education, 2024 | [LINK] [PDF] |