In this paper, the authors describe how a study of a large database of written university teacher feedback in the department of Industrial Design led to the development of a new conceptual framework for feedback and the design of a new feedback tool. This paper focuses on the translation of related work in the area of feedback mechanisms for higher education into a tailored framework for feedback in the area of Industrial Design, the translation of the existing corpus of data into indicators of feedback quality and how feedback is received and further on used by students in their learning process. The newly developed tool structures teacher feedback into very targeted and highly focused feedback dialogues between teacher and individual students tailored to their individual learning process. The tool is described in this paper with respect to conversational aspects. In the future, the tool will be used actively in Industrial Design education, also with the purpose of further investigating how the quality of written feedback evolves and redesigning educational processes around feedback tools.
|Number of pages||15|
|Journal||International Journal of Web-Based Learning and Teaching Technologies|
|Publication status||Published - 1 Oct 2017|
- Educational Data Mining
- Industrial Design
- Learning Analytics
- Teaching Quality