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Automated Feedback for Workplace Learning in Higher Education

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Technology Enhanced Assessment (TEA 2018)

Abstract

To cope with changing demands from society, higher education institutes are developing adaptive curricula in which a suitable integration of workplace learning is an important factor. Automated feedback can be used as part of formative assessment strategies to enhance student learning in the workplace. However due to the complex and diverse nature of workplace learning processes, it is difficult to align automated feedback to the needs of the individual student. The main research question we aim to answer in this design-based study is: ‘How can we support higher education students’ reflective learning in the workplace by providing automated feedback while learning in the workplace?’. Iterative development yielded (1) a framework for automated feedback in workplace learning, (2) design principles and guidelines and (3) an application prototype implemented according to this framework and design knowledge. In the near future, we plan to evaluate and improve these tentative products in pilot studies.

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Acknowledgements

We would like to thank Ellen Schuurink for her inspiration and support for this research, and Rogier Knoester and Roel Veldhuizen for their technical insights and efforts in developing the proof of concept.

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Correspondence to Esther van der Stappen .

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van der Stappen, E., Baartman, L. (2019). Automated Feedback for Workplace Learning in Higher Education. In: Draaijer, S., Joosten-ten Brinke, D., Ras, E. (eds) Technology Enhanced Assessment. TEA 2018. Communications in Computer and Information Science, vol 1014. Springer, Cham. https://doi.org/10.1007/978-3-030-25264-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-25264-9_6

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