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Your search keyword '"Chiang, Chieh-Feng"' showing total 19 results
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19 results on '"Chiang, Chieh-Feng"'

3. Building an Online Adaptive Learning and Recommendation Platform

Author

Tseng, Hsiao-Chien, Chiang, Chieh-Feng, Su, Jun-Ming, Hung, Jui-Long, Shelton, Brett E., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wu, Ting-Ting, editor, Gennari, Rosella, editor, Huang, Yueh-Min, editor, Xie, Haoran, editor, and Cao, Yiwei, editor

Published
2017
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4. VisCa: A Dashboard System to Visualize Learning Activities from E-learning Platforms

Author

Lin, Chan-Hsien, Hu, Shih-Shin, Lai, Horng-Yih, Chiang, Chieh-Feng, Tseng, Hsiao-Chien, Cheng, Yuan-Che, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wu, Ting-Ting, editor, Gennari, Rosella, editor, Huang, Yueh-Min, editor, Xie, Haoran, editor, and Cao, Yiwei, editor

Published
2017
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11. Building an Online Adaptive Learning and Recommendation Platform

Author

Jun-Ming Su, Hsiao-Chien Tseng, Chiang Chieh-Feng, Brett E. Shelton, and Jui-Long Hung

Subjects
Multimedia, Concept map, Process (engineering), Computer science, Context (language use), Adaptive learning, Personalized learning, Tracking (education), Construct (philosophy), computer.software_genre, computer, Strengths and weaknesses
Abstract

In the traditional e-learning environment lack of immediate learning assistance. This online adaptive learning and recommendation platform (ALR) provide tracking tool for instructors to “observe” or “monitor” individual students’ learning activities. Students can learn through the ALR platform using the learning path to get the immediate assistance. Individual students’ learning strengths and weaknesses can be revealed via analyzing learning activities, learning process, and learning performance. Related analysis results can be utilized to develop corresponding automatic interventions in order to achieve goals of adaptive learning. Therefore, the purpose of this study aims to construct the concept map for adaptive learning, provide educational recommender for individual students. On the top of these prior projects, this project will develop the following intelligent components: (1) personalized dynamic concept maps for adaptive learning; (2) personalized learning path recommendation; and (3) context-based recommendation for meeting personal learning needs. Each of components will be strictly validated to ensure its practicability. This study introduce the ALR platform.

Published
2017

19. A Novel Approach to Comparison-Based Diagnosis for Hypercube-Like Systems.

Author

Chiang, Chieh-Feng and Tan, Jimmy J. M.

Subjects
HYPERCUBE networks (Computer networks), COMPUTER networks, COMPUTER systems, MULTIPROCESSORS, INFORMATION technology
Abstract

Interconnection network has been an active research area for parallel and distributed computer systems. The diagnosability is one of the important issues in the reliability of interconnection networks. In this paper, a novel idea on system diagnosis called local diagnosability is presented. The concept of local diagnosability is strongly related to the traditional global one. For this local sense, the status of every particular processor can be correctly identified. A sufficient condition is also proposed to determine the local diagnosability of a given processor. Following this local sense, we prove that the diagnosability of an n-dimensional hypercube-like network HLn is n for n ≥ 5, and show that in HLn with up to n -- 2 faulty links, the local diagnosability of each processor equals to the connection links incident with it. [ABSTRACT FROM AUTHOR]

Published
2008

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