教育學院

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教育學院成立於民國44年6月5日,時值臺灣省立師範學院改制為臺灣省立師範大學,初設教育、社會教育、體育衛生教育、家政教育、工業教育五個學系,發展迄今,本院共設有7個學系(均含學士、碩士及博士班)、5個獨立研究所、1個院級在職碩士專班。

本院為國內歷史最久之教育學院,系所規模、師資,及學生品質向為國內首屈一指,培育英才無數,畢業校友或擔任政府教育行政單位首長及中堅人才、或為大學校長及教育相關領域研究人員、或為國內中等教育師資之骨幹、或投入民間文教事業相關領域,皆為提升我國教育品質竭盡心力。此外,本學院長期深耕學術,研究領域多元,發行4本 TSSCI 期刊,學術聲望備受國內外學界肯定,根據 2015 年 QS 世界大學各學科排名結果,本校在教育學科名列第22名,不僅穩居臺灣第一,更躍居亞洲師範大學龍頭。

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    臺北市國民小學實施讀報教育研究
    (國立政治大學, 2011-02-01) 馮琼愛; 邱銘心 
    由於社會環境的變遷與網際網路的興起,兒童與文字互動的機會減少,因而改變了閱讀習慣,連帶降低了閱讀興趣與理解力。讀報教育是藉由報紙文章篇幅不長、題材生活化和資訊即時切合時事的優點,當作閱讀媒材來引發學生的學習興趣,在培養學生閱讀習慣的同時增加閱讀理解及判斷思考的能力。讀報教育源於美國,並在國際間被廣泛推廣,臺灣也於2005年加入推動讀報教育的行列。本研究執行從2009年10月至2010年6月止,採用問卷法及訪談法蒐集臺北市國民小學實施讀報教育現況的資料,以臺北市實施讀報教育的國民小學和授課教師為研究對象。研究目的為分析實施讀報教育的方法及探究所面臨的困境,從中研擬在小學階段實施讀報教育時之參考方針。
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    Embedding game-based problem-solving phase into problem-posing system for mathematics learning
    (ELSEVIER, 2012-02-01) Chang,K. E.; Wu, L. J.; Weng, S. E.; Sung, Y. T.
    A problem-posing system is developed with four phases including posing problem, planning, solving problem, and looking back, in which the “solving problem” phase is implemented by game-scenarios. The system supports elementary students in the process of problem-posing, allowing them to fully engage in mathematical activities. In total, 92 fifth graders from four different classes were recruited. The experimental group used the problem-posing system, whereas the control group followed the traditional paper-based approach. The study investigates the effects of the problem-posing system on students’ problem-posing ability, problem-solving ability, and flow experiences. The results revealed more flow experiences, and higher problem-solving and problem-posing abilities in the experimental group.
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    Computer-assisted learning for mathematical problem solving
    (ELSEVIER, 2006-02-01) Chang, K. E.; Sung, Y. T.; Lin, S. F
    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.
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    Group differences in computer supported collaborative learning: Evidence from patterns of Taiwanese students' online communication
    (Elsevier, 2010-02-01) Chiu, Chiung-Hui; Hsiao, Hsieh-Fen
    This study explored the differences among online elementary school student groups based on their communication features. Two hundred and ninety-one Taiwanese students, ranging in age from 11 to 12 years old, participated in this study. The students were randomly arranged within-class into three-member groups. Each group was asked to use a collaborative learning system to accomplish a group task generating a shared concept map. The textual discussions in each group during collaboration were collected, coded, categorized, and quantified to profile their communication characteristics. Cluster analysis on the resulting communication characteristics resulted in four types of small student groups, including passive or reticent, frequently off-task, actively participating, and knowledge emphasizing. Most student groups (56%) were found to be relatively passive or reticent. Frequently off-task student groups made a protrusive amount of messages for off-task social purposes. The actively participating student groups were characterized by abundant discussion, particularly for continuing task, managing procedure and coordinating efforts. The distinctive feature of knowledge emphasizing student groups was that they devoted particular attention to task related knowledge. In addition, they performed better in task accomplishment.
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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.