The IUP Journal of Operations Management
Application of Quality Management Tools in Student Retention: A Case Study from International School, Duy Tan University
Article Details
| Pub. Date | :Feb, 2021 |
|---|---|
| Product Name | : The IUP Journal of Operations Management |
| Product Type | : Article |
| Product Code | : IJOM20221 |
| Author Name | : Huynh Linh Lan |
| Availability | : YES |
| Subject/Domain | : Management |
| Download Format | : PDF Format |
| No. of Pages | : 11 |
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Abstract
Student retention is not only holding students until graduation but also helping them succeed at university. Every year, a large percentage of Vietnamese students drop out of schools due to many reasons. Educators can create a clear strategy for retention if they have a good understanding of their students. That understanding is driven by the data available to them within their learning management system and analytics tools. Thus this study utilized the quality management tools combined with group discussion and direct interview of 300 students. The paper also suggests some administrative implications to build the process used in learner motivation and retention.
Description
The knowledge and training a student receives at college will prepare for the real
world and a student who is turned off from the educational system may not have
opportunities to acquire wealth and happiness. Moreover, the negative college
experience could make a person shy away from formal learning approach in the future
(Astin et al., 2012). Some factors that affect student retention were discovered in many
studies such as institutional program, student-faculty relationship, students' capacity,
welcoming environment, student support services and learning resources (Berge and
Huang, 2004; Styron, 2010; and O'Keeffe, 2013).
To manage the dropout rate, universities have developed many strategies. Ackerman
and Schibrowsky (2007) suggested using the customer relationship marketing to
implement retention programs. However, this approach meets some difficulties, while
not everyone will be comfortable applying the concept from business in the field of
education. Others suggest some tools in student retention such as data mining (Lin,
2012) and machine learning (Delen, 2010). Crosling et al. (2009) proposed the view
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