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A Framework for Assessing Reflective Writing Produced Within the Context of Computer Science Education

Alrashidi, Huda; Ullmann, Thomas; Ghounaim, Samiah and Joy, Mike (2020). A Framework for Assessing Reflective Writing Produced Within the Context of Computer Science Education. In: Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK20, 24/03/2020, Frankfurt, Germany.

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Abstract

Reflective writing is known to be an effective activity to increase students' learning. However, there is limited literature in reflective writing assessment criteria in the context of computer science (CS) education. In this paper, we aim to explore a meaningful reflective writing assessment characteristics. That has been used to assess reflective text by CS educators. This paper has two contributions: (a) we developed a Reflective Writing Framework (RWF) for the main criteria has been used to assess reflective text in CS education from the findings of a semi-structure questionnaire; (b) the RWF was tested empirically using a pilot test of the manual annotation used to modify the framework. This analysis resulted in an inter-rater reliability of 0.78 being achieved. The overall goal of this research is to develop a Learning Analytics (LA) tool which can automatically detect the categories of the RWF present in a text to assess the student authors’ reflective writing in relation to CS.

Item Type: Conference or Workshop Item
Keywords: reflection detection; reflective writing; writing analytics; learning analytics
Academic Unit/School: Institute of Educational Technology (IET)
Research Group: Centre for Research in Education and Educational Technology (CREET)
OpenTEL
Item ID: 70079
Depositing User: Thomas Ullmann
Date Deposited: 09 Apr 2020 10:12
Last Modified: 12 Apr 2020 07:19
URI: http://oro.open.ac.uk/id/eprint/70079
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