National Taiwan Normal University

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    Computer Self-Efficacy, Competitive Anxiety And Flow State: Escaping From Firing Online Game

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    [[abstract]]Flow state in game playing affected by computer self-efficacy and game competitive anxiety was studied. In order to examine the effect of those constructs with high competition, this study select “Escaping from firing online game” which require college students to escape from fire and rescue people and eliminate the fire damage along the way of running. 101 students participated the game and filled up the questionnaires, after they tried 20 minutes. Confirmatory research method was adapted to examine three hypotheses of this study and the results indicated computer self-efficacy and game competitive anxiety had a positively association with flow state, but computer self-efficacy had a negative association to game competitive anxiety.

    數位學習品質管理的基本概念

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    [[abstract]]受網路、多媒體和行動載具影響,數位化教材和教學即將成為本世紀最重要的教學方式。然而,蓬勃發展的數位教材和教學背後,卻潛藏著品質管理的問題。要如何監控與提升數位學習教材和教學的品質,成為各先進國家重要的課題。本書從觀念面、制度面、和實務面等切入,深入帶領讀者瞭解數位學習品質管理的內涵和現況,分析當前國內外數位學習品質管理的制度與作法,並藉由實例剖析而領會管理數位學習品質的策略。讀者藉由本書除了可以掌握品質管理的觀念外,更可藉由實例分析快速掌握數位學習品質管理的要領,進而成為高品質數位學習的創造者或監督者。

    Improving children's reading comprehension and use of strategies through computer-based strategy training

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    [[abstract]]In this study, the attention–selection–organization–integration–monitoring (ASOIM) model, revised from Mayer’s [Mayer, R. E. (1996). Learning strategies for making sense out of expository text: The SOI model for guiding three cognitive processes in knowledge construction. Educational Psychology Review, 8, 357–371] SOI model of text comprehension, was used as a foundation to design a multi-strategy based system, which was named Computer Assisted Strategy Teaching and Learning Environment (CASTLE). CASTLE aims to enhance learners’ abilities of using reading strategies and text comprehension. The effects of CASTLE on students with different reading abilities were empirically evaluated. 130 sixth graders took part in an 11-week computer-based reading strategies course. The results show that CASTLE helps to enhance the students’ use of strategies and text comprehension at all ability levels.

    Applying lag sequential analysis to detect visual behavioral patterns of online learning activities

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    [[abstract]]The recent trend towardsWeb 2.0 focuses on users’ active participation and interaction via online environment (Musser, O’Reilly & the O’Reilly Radar Team, 2006), and makes educational strategies more interactive and diverse. Many teaching strategies are also integrated with online learning activities. However, this raises questions about how learners conduct these online learning behaviours and about the visual sequential behavioural patterns that they employ. These patterns may provide an important reference for teachers’ or intelligent agents’ guidance for enhancing learners’ learning. Lag sequential analysis (Bakeman & Gottman, 1997) can individually examine whether the sequential relationship between each behaviour has been achieved significantly and visualise the patterns. This study tries to conduct an empirical observation and apply sequential analysis to detect learners’ behavioural patterns. Based on our initial findings, we also provide suggestions, which are expected to promote in-depth online learning.

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