Educators’ Validation on a Reflective Writing Framework (RWF) for Assessing Reflective Writing in Computer Science Education
- 105 Downloads
The need for effective Intelligent Tutoring Systems (ITSs) and automated assessment is increasing. One area of ITSs has become urgent is that of the automated assessment of reflective writing. The reflective writing has been promoted, in higher education, in order to encourage students to think critically about their learning. However, many frameworks have been developed for assessing student’s reflective writing. Up to our knowledge, there is no empirical studies to validate reflective writing frameworks that used in Computer Science (CS) education. This paper presents the validation of reflective Writing Framework (RWF) by CS educators. The expert panelists validated the RWF. Subsequently, we proposed an ITS model for automating reflective writing analysis. The RWF was accepted that it received a level of consensus from the experts who reported obtaining from good to appropriate results using it.
KeywordsReflection Reflective writing Computer Science Assessment
This research was partially funded by Kuwait Foundation for the Advancement of Sciences (KFAS) under project code “CB19-68SM-01”.
- 1.Boud, D., Keogh, R., Walker, D.: Reflection: Turning Experience into Learning. Nichols Publishing Company, New York (1985)Google Scholar
- 5.George, S.E.: Learning and the reflective journal in computer science. Aust. Comput. Sci. Commun. 24(1), 77–86 (2002)Google Scholar
- 8.Alrashidi, H., Joy, M., Ullmann, T.: A reflective writing framework for computing education. In: Proceedings of the 24th Annual ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2019, Aberdeen, UK (2019)Google Scholar
- 9.Summet, V.: Reflective writing through primary sources. J. Comput. Sci. Coll. 97 (2019)Google Scholar
- 10.Alrashidi, H., et al.: A framework for assessing reflective writing produced within the context of computer science education. In: Proceedings of the 10th International Learning Analytics and Knowledge Conference (LAK 2020), Frankfurt, Germany (2020)Google Scholar