Search results for author:"Tsung-Yi Chen"
Total records matched: 4 Search took: 0.132 secs
-
An Intelligent Web Knowledge Extraction Framework to Support E-Learning Content Collection
Chin-Bin Wang; Huimei Yang; Yuh-Min Chen; Hui-Chuan Chu; Tsung-Yi Chen; Derchian Tsaih
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2006 (October 2006) pp. 3104–3112
Traditional teaching methods are limited by time and space. With the arrival of increasingly advanced technologies and the internet era, e-learning platforms can solve many of the problems faced by traditional teaching. The internet is filled with...
Topics: Teaching Methods, Information Sciences, Learning Disabilities, Social Studies, Educational Technology
-
Ontology-based Adaptive Dynamic e-Learning Map Planning Method for Conceptual Knowledge Learning
Yuh-Min Chen; Tsung-Yi Chen; Hui-Chuan Chu; Kuan-Chun Su
International Journal of Web-Based Learning and Teaching Technologies Vol. 11, No. 1 (January 2016) pp. 1–20
E-learning improves the shareability and reusability of knowledge, and surpasses the constraints of time and space to achieve remote asynchronous learning. Since the depth of learning content often varies, it is thus often difficult to adjust...
-
Science teachers' TPACK-Practical: Standard-setting using an evidence-based approach
Tsung-Hau Jen; Yi-Fen Yeh; Ying-Shao Hsu; Hsin-Kai Wu; Kuan-Ming Chen
Computers & Education Vol. 95, No. 1 (April 2016) pp. 45–62
Technological pedagogical content knowledge-practical (TPACK-P) refers to the knowledge construct that teachers in the digital era develop for and from their teaching practices with technology. This study explored a standard-setting method using...
Language: English
-
Object Tracking Based on Color Space Adjustable Technology Combined with Particle Filter
Ming-Tsung Yeh; Yu-Xian Huang; Shi-Ming Chen; Chih-Chung Yu; Yi-Nung Chung; Chang-Te Lin
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2013 (Oct 21, 2013) pp. 1623–1628
This paper proposes an approach to track moving object in real time and to predict and trace the observed targets based on the particle filter. This system includes three parts. The first is the foreground segmentation applying color space...
Topics: Other