Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2019
Abstract
Traditionallyteaching is usually one directional where the instructor imparts knowledge andthere is minimal interaction between learners and instructor. With the focus onlearner-centred pedagogy, it can be a challenge to provide timely and relevantguidance to individual learners according to their levels of understanding. Oneof the options available is to collect reflections from learners after eachlesson to extract relevant and high-value feedback so that doubts or questionscan be addressed in a timely manner. In this paper, we derived an approach toautomate the identification of doubts from the informal reflections through featuresanalysis and machine learning. Using reflections as a feedback mechanism andaligning it to the weekly course content can pave way to a promising approachfor learner-centered teaching and personalized learning.
Keywords
Doubt identification, Learner-centred pedagogy, informal reflections
Discipline
Computer Engineering
Research Areas
Data Science and Engineering
Publication
Proceedings of the 27th International Conference on Computers in Education, Kenting, Taiwan, 2019 December 2-6
City or Country
Taiwan
Citation
LO, Siaw Ling; TAN, Kar Way; and OUH, Eng Lieh.
Do my students understand? Automated identification of doubts from informal reflections. (2019). Proceedings of the 27th International Conference on Computers in Education, Kenting, Taiwan, 2019 December 2-6.
Available at: https://ink.library.smu.edu.sg/sis_research/4669
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.