學習資訊專業學院—資訊教育研究所

Permanent URI for this communityhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/25

資訊教育研究所之碩士班成立於民國80年,博士班成立於民國86年,目前研究生共約160名。本所原屬資訊教育學系,於95學年度起因應系所組織調整,成為獨立研究所,歸屬教育學院。

本所以『資訊科技教育』和『數位學習』兩個專業領域之研究發展與人才培育為宗旨,課程設計分別針對此兩個專業領域規劃必、選修專業科目,提供學生紮實而嚴謹的學術專業知能及個別化之研究訓練。本所教育目標包括:

1、培育資訊科技教育人才;
2、培育數位學習產業人才;
3、培育資訊科技教育與數位學習研究人才。

本所目前六名專任教師,四位教授,二位副教授,在資訊教育領域均具有豐富之教學與研究經驗且均積極從事研究,每年獲科技部補助研究計畫之平均數量與金額在本校名列前茅。另外,本所教師積極參與國內重大資訊教育政策及課程綱要之制定,積極推動國內資訊教育之發展。
 

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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.