Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
7-2022
Abstract
Reflection is often used as a tool to analyse student learning, be it for internalizing of acquired knowledge or as a form of seeking help through expression of doubts or misconceptions. However, it can be a challenge to extract relevant information from the free-form reflection text. Often times the workload of manually analyzing the reflection text can be a form of deterrence instead of providing insights in the course delivery for instructors, let alone improving the learning experience. In this paper, we review the current usage of reflection and propose an automated reflection framework, together with an end-to-end analysis of reflection that provides agility in the course delivery and, at the same time, timely feedback to both students and instructors.
Keywords
Reflection Framework, Course Evaluation, NLP
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Proceeding of 23rd International Conference, Durham, UK, 2022 July 27-31
First Page
293
Last Page
297
ISBN
9783031116469
Identifier
10.1007/978-3-031-11647-6_55
Publisher
Springer
City or Country
Durham University, UK
Citation
LO, Siaw Ling; CHER, Pei Hua; and BELLO, Fernando.
Reflection as an agile course evaluation tool. (2022). Proceeding of 23rd International Conference, Durham, UK, 2022 July 27-31. 293-297.
Available at: https://ink.library.smu.edu.sg/sis_research/7485
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1007/978-3-031-11647-6_55