教師著作

Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31276

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Author: search.filters.author.Chang, Kuo-EnSubject: search.filters.subject.Interactive learning environment

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    Designing an electronic guidebook for learning engagement in a museum of history
    (Elsevier, 2010-01-01) Sung, Yao-Ting; Chang, Kuo-En; Hou, Huei-Tse; Chen, Pin-Fu
    Museums provide important avenues for lifelong learning, and using information and communication technology to maximize a museum’s lifelong learning potential is a recognized issue. This study proposed a human–computer–context interaction (HCCI) framework as a guide for designing a mobile electronic guidebook for a history museum. To fulfill the goals of the HCCI framework, two strategies, problem-based inquiry and historical-context-embedded visiting, were used to implement a HCCI guidebook. To evaluate the effects of the HCCI guidebook, this study conducted an experiment to compare three visiting modes: Visiting with the HCCI guidebook; visiting with a worksheet; and visiting without any supplementary tools. Sixty-two college students participated in the evaluation of the HCCI guidebook in the Tang dynasty tri-color glazed pottery exhibition at the National Museum of History. The results showed that the students with the HCCI guidebooks had, on average, a longer holding time with exhibits than either students with paper-based worksheets or students without supplementary materials. However, there were no significant differences in the knowledge gained about exhibits among the three modes.
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    Computer-assisted learning for mathematical problem solving
    (Elsevier, 2006-02-01) Chang, Kuo-En; Sung, Yao-Ting; Lin, Shiu-Feng
    Previous computer-assisted problem-solving systems have incorporated all the problem-solving steps within a single stage, making it difficult to diagnose stages at which errors occurred when a student encounters difficulties, and imposing a too-high cognitive load on students in their problem solving. This study proposes a computer-assisted system named MathCAL, whose design is based on four problem-solving stages: (1) understanding the problem, (2) making a plan, (3) executing the plan and (4) reviewing the solution. A sample of one hundred and thirty fifth-grade students (aged 11 years old) completed a range of elementary school mathematical problems and empirically demonstrated. The results showed MathCAL to be effective in improving the performance of students with lower problem solving ability. This evaluation allowed us to address the problem of whether the assistances in various stages help students with their problem solving. These assistances improve students’ problem-solving skills in each stage.