H
Hui-Chun Chu
Researcher at Soochow University (Taiwan)
Publications - 80
Citations - 3694
Hui-Chun Chu is an academic researcher from Soochow University (Taiwan). The author has contributed to research in topics: Educational technology & Cooperative learning. The author has an hindex of 25, co-authored 76 publications receiving 3119 citations. Previous affiliations of Hui-Chun Chu include National Chi Nan University & Soochow University (Suzhou).
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A two-tier test approach to developing location-aware mobile learning systems for natural science courses
TL;DR: This study presents a mobile learning system that employs Radio Frequency Identification (RFID) technology to detect and examine real-world learning behaviors of students and utilizes each student's responses from a two-tier test to provide personalized learning guidance.
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Development of an adaptive learning system with two sources of personalization information
TL;DR: By analyzing the results from three groups of students using different adaptive learning approaches, it can be found that the innovative approach is helpful in improving both the learning achievement and learning efficiency of individual students.
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A knowledge engineering approach to developing mindtools for context-aware ubiquitous learning
TL;DR: Experimental results from a natural science course of an elementary school show that a knowledge engineering approach is proposed to develop Mindtools, which not only enhances learning motivation, but also improves the learning achievements of the students.
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A concept map approach to developing collaborative Mindtools for context-aware ubiquitous learning
TL;DR: Experimental results from a natural science course in an elementary school show that a concept map-oriented Mindtool for collaborative ubiquitous learning not only enhances learning motivation but also improves the learning achievements of the students.
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A Delphi-based approach to developing expert systems with the cooperation of multiple experts
Hui-Chun Chu,Gwo-Jen Hwang +1 more
TL;DR: A Delphi-based approach to eliciting knowledge from multiple experts is proposed and an application on the diagnosis of Severe Acute Respiratory Syndrome has depicted the superiority of the novel approach.