Year: 2016
Type: conference-paper
Abstract: Strategies can be mined by analyzing advices and recommendations from university students. Useful knowledge from text analysis surface potential new strategy, which can be used by university operators.Strategy in this context is defined as a plan of action or policy that gives direction. In the contact of students’ feedback, outcomes of text mining can be presented as concept map where key concepts and sub concepts are linked and hence provide directions.However, these linked concepts are not final strategy but rather preliminary draft ‘strategy’ or ‘direction’ where fine-tuning is required.The analysis also presents clusters of concepts where themes that are closely interrelated are put into the same cluster so that different strategy can be formed on different issues.The feedback in this research consists of advice and recommendations of the university students in a yearly university survey.The text mining methodology used in this research entails text parsing, filtering, and topics and clustering of themes once these unstructured texts are pre-processed.This paper concludes by drawing several issues to the attention of the institute.
Authors: Lee Siew Hoong Angela, Ming Lim Tong
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2586356010