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Classification Techniques
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Open (Access) Journal-Article
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Open (Access) Journal-Article
Working adults are entering MBA programs in increasing numbers. Some matriculating professionals have difficulty meeting the competitive rigors of business school life for a variety of reasons. One solution to these challenges is to provide learning support systems geared toward individual student backgrounds and interests. The purpose of this paper is to illustrate a screening process for delivering content in a non-residential MBA program for two diverse academic disciplines: organizational management and accounting. The results show that analytical-based classification techniques can effectively identify marginal students for the purpose of providing additional learning resources. The analysis further shows that intelligent tutors can deliver customized Web-based content at a time convenient to the working professional.
- Subjects:
- Management
- Keywords:
- Management--Study teaching (Higher) Adult education Distance education -- Computer-assisted instruction
- Resource Type:
- Open (Access) Journal-Article
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