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蔡維仁

蔡維仁, William Wei-Jen Tsai (a.k.a. xturtle)

研究方向 Research Interests

  • Methodologies of Recognizing Emotion
  • Affective Computing
  • Cooperative e-Learning
  • Meta-Cognitive Based Knowledge Management
  • Applications of Information Retrieval
  • Applications of Machine Learning

研究成果 Publications

Journal

  1. Hui-Chuan Chu, William W.-J. Tsai, Min-Ju Liao, Yuh-Min Chen (2017), Facial Emotion Recognition with Transition Detection for Students with High Functioning Autism in Adaptive e-Learning, Soft Computing (Online) (SCI IF=1.63, 56/130) doi:10.1007/s00500-017-2549-z.

Conference

  1. Chu, H.C., Tsai, W.W.J., Liao, M.J., Cheng, W.K., Chen, Y.M. & Wang, S.C. (2013). Facial Expression Based Real-Time Emotion Recognition Mechanism for Students with High-Functioning Autism. In J. Herrington, A. Couros & V. Irvine (Eds.), Proceedings of EdMedia: World Conference on Educational Media and Technology 2013 (pp. 1165-1173). Association for the Advancement of Computing in Education (AACE).
  2. Hui-Chuan Chu, Min-Ju Liao, Wei-Kai Cheng, William W.-J. Tsai, Yuh-Min Chen(2012), Emotion Classification for Students with Autism in Mathematics e-learning using Physiological and Facial Expression Measures, WASET 2012, Paris, France (EI).
  3. Hui-Chuan Chu, Min-Ju Liao, William W.-J. Tsai and Yuh-Min Chen (2011),  On Development of Expertise-Based Learning Guidance for Cooperative e-Learning, e-Learn 2011, Honolulu, HI, USA.

碩士論文 (2010)

支援數位合作學習之專家智識學習引導研究
A Study of Expertise-Based Learning Guidance for Cooperative e-Learning

關鍵字 Keywords

合作學習, 學習鷹架, 後設認知, 專家智識
Cooperative Learning, Scaffolding, Meta-Cognition, Expertise

摘要

近年來,合作學習的方式越來越受到重視。然而合作式學習並非解決學生學習問題之萬靈丹,研究指出認知性及社會性的變因將削弱合作式學習之優勢。本研究由認知性問題著手,以資訊科技為輔助,設計一數位化合作式學習引導機制,基於專家智識構成之學習鷹架以改善學習者之認知情形,協助數位化合作學習流程,使學習者清楚學習目標,加強認知技能,並促進深度理解。

Abstract

Cooperative learning is widely applied in education. However, it is not an ultimate solution for solving students' learning problems. Previous researches have shown that cognitive and social factors may weaken cooperative learning's benefits. In this paper, we proposed an expertise-based learning guidance mechanism to aid learner's cognitive process in cooperative learning, with a focus on learning destination, enhancing cognitive skills, and increasing students' comprehension.

碩士班以前研究成果 (Publications Before 2010)

Journal

  1. Kun-Lin Hsieh*, William Tsai, Neng-Mu. Shih, (2007), Applying PC-cluster into Clustering Analysis for Organism’s Codon Usage Based on MPI Techniques, WSEAS Transactions on Computers, 6(8), pp.1044-1049 (EI)
  2. Kun-Lin Hsieh, Cheng-Chang Jeng, William Tsai, Chun-Hung Lee, (2006), “Computational Resource Integration via PC Cluster: A Case Study at Taiwanese University”, WSEAS  Transaction on Computers, 5(12), pp.3091-3098. (EI)

Conference

  1. 朱慧娟、廖敏如、蔡維仁、溫俊誠、陳裕民,支援數位合作學習之專家智識學習引導,2010資訊管理暨電子商務經營管理研討會,2010年5月14~15日,台灣台東。 
  2. William Tsai, Neng-Mu Shih, and Kun-Lin Hsieh. 2007. Achieving organism clustering analysis by using PC cluster architecture with MPI techniques. In Proceedings of the 11th WSEAS International Conference on Computers (ICCOMP'07), N. E. Mastorakis, S. Kartalopoulos, D. Simian, A. Varonides, V. Mladenov, Z. Bojkovic, and E. Antonidakis (Eds.). World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, 537-541.
  3. Kun-Lin Hsieh, Cheng-Chang Jeng, William Tsai, and Chun-Hung Lee. 2006. " Systematic viewpoint for integrating computational resources by using the technique of PC cluster". In Proceedings of the 6th WSEAS International Conference on Systems Theory \& Scientific Computation (ISTASC'06), Athina Lazakidou and Konstantinos Siassiakos (Eds.). World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, 53-57.
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