This paper introduces a new advising system based on datamining and AI technology to boost a rapid and steady growth of individual students. The implemented system gives students useful advices about university life, regular curriculum, and extracurricular activities to change their mindset and behaviors for learning. Especially, we believe that combination of regular curriculum and extracurricular activities is significant for university students because the both are mutually complemented to realize the CDIO cycle. Kanazawa Institute of Technology has electric archives of 15,000 graduates’ e-portfolios, and we used the records to counsel each student individually. We actually implemented two kinds of advising systems: one is a datamining system for supervisors use to give advice, and the other is AI advising system that student use for themselves. We tested the efficacy of the systems, and got the positive results.
AI ASSISTED ADVISING FOR GROWTH OF UNIVERSITY STUDENTS
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Conceive
Defining customer needs; considering technology, enterprise strategy, and regulations; developing concepts, techniques and business plans.
Design
Creating the design; the plans, drawings, and algorithms that describe what will be implemented.
Implement
The transformation of the design into the product, including manufacturing, coding, testing and validation.
Operate
Using the implemented product to deliver the intended value, including maintaining, evolving and retiring the system.
