Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework

Michael Vierhauser, Iris Groher, Clemens Sauerwein, Tobias Antensteiner, Sebastian Hatmanstorfer

2024

Abstract

Assurance of Learning and Competency-Based Education are increasingly important in higher education, not only for accreditation or transfer of credit points. Learning Analytics is crucial for making educational goals measurable and actionable, which is beneficial for program managers, course instructors, and students. While universities typically have an established tool landscape where relevant data is managed, information is typically scattered across various systems with different responsibilities and often only limited capabilities for sharing data. This diversity, however, significantly hampers the ability to analyze data, both on the course and curriculum level. To address these shortcomings and to provide program managers, course instructions, and students with valuable insights, we devised an initial concept for a Multi-Level Shared Learning Analytics Framework to provide consistent definition and measurement of learning objectives, as well as tailored information, visualization, and analysis for different stakeholders. In this paper, we present the results of initial interviews with stakeholders, devising core features. In addition, we assess potential risks and concerns that may arise from the implementation of such a framework and data analytics system. As a result, we identified six essential features and six main risks to guide further requirements elicitation and development of our proposed framework.

Paper Citation

in Harvard Style

Vierhauser M., Groher I., Sauerwein C., Antensteiner T. and Hatmanstorfer S. (2024). Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: EKM; ISBN 978-989-758-697-2, SciTePress, pages 635-644. DOI: 10.5220/0012744400003693

in Bibtex Style

@conference{ekm24,
author={Michael Vierhauser and Iris Groher and Clemens Sauerwein and Tobias Antensteiner and Sebastian Hatmanstorfer},
title={Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: EKM},
year={2024},
pages={635-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012744400003693},
isbn={978-989-758-697-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: EKM
TI - Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework
SN - 978-989-758-697-2
AU - Vierhauser M.
AU - Groher I.
AU - Sauerwein C.
AU - Antensteiner T.
AU - Hatmanstorfer S.
PY - 2024
SP - 635
EP - 644
DO - 10.5220/0012744400003693
PB - SciTePress