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Validating the Reflective Writing Framework (RWF) for assessing reflective writing in computer science education through manual annotation
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Alrashidi, Huda, Joy, Mike, Ullmann, Thomas Daniel and Almujally, Nouf (2020) Validating the Reflective Writing Framework (RWF) for assessing reflective writing in computer science education through manual annotation. In: 16th International Conference on Intelligent Tutoring Systems (ITS2020), Athens, Greece, 8–12 Jun 2020. Published in: Intelligent Tutoring Systems : 16th International Conference, ITS 2020, Athens, Greece, June 8–12, 2020, Proceedings, 12149 pp. 323-326. ISBN 9783030496623. doi:10.1007/978-3-030-49663-0_38 ISSN 0302-9743.
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Official URL: http://dx.doi.org/10.1007/978-3-030-49663-0_38
Abstract
The accuracy of a framework for annotating reflective writing can be increased through the evaluation and revision of the annotation scheme to ensure the reliability and validity of the framework. To our knowledge, there is a lack of literature related to the accuracy of any reflective writing framework in Computer Science (CS) education. This paper describes a manual annotation scheme, applied during four pilot studies, to validate the authors’ novel Reflective Writing Framework (RWF) for CS education. The results show, through the pilot studies, that the accuracy of Inter-Rater Reliability (IRR) increases from 0.5 to 0.8, which was substantial and close to an almost perfect agreement. This paper contributes to CS education through the reliability and validity of the RWF that can be potentially used for generating an Intelligent Tutoring Systems (ITS) using machine learning algorithms.
Item Type: | Conference Item (Paper) | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Series Name: | Lecture Notes in Computer Science | ||||||||
Journal or Publication Title: | Intelligent Tutoring Systems : 16th International Conference, ITS 2020, Athens, Greece, June 8–12, 2020, Proceedings | ||||||||
Publisher: | Springer | ||||||||
ISBN: | 9783030496623 | ||||||||
ISSN: | 0302-9743 | ||||||||
Book Title: | Intelligent Tutoring Systems | ||||||||
Official Date: | 2020 | ||||||||
Dates: |
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Volume: | 12149 | ||||||||
Page Range: | pp. 323-326 | ||||||||
DOI: | 10.1007/978-3-030-49663-0_38 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Conference Paper Type: | Paper | ||||||||
Title of Event: | 16th International Conference on Intelligent Tutoring Systems (ITS2020) | ||||||||
Type of Event: | Conference | ||||||||
Location of Event: | Athens, Greece | ||||||||
Date(s) of Event: | 8–12 Jun 2020 | ||||||||
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