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Journal of Educational Computing Research

2003 Volume 29, Number 4

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Table of Contents

Number of articles: 6

  1. Effects of an Online Visual Procedure on Task Completion, Time, and Attitude

    Amy C. Bradshaw & Abbas Johari

    Although substantial literature exists regarding learning with visuals, most consider text the primary channel with varying amounts of visuals explored as a secondary channel. This study considered... More

    pp. 401-417

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  2. The Effect of a Threaded Discussion Component on Student Satisfaction and Performance

    Ryan Sain & Thomas Armin Brigham

    This study examined the use of a threaded discussion component in conjunction with a peer taught psychology course. Six of the 12 sections of Psychology 106 were randomly assigned to use an online ... More

    pp. 419-430

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  3. Vicarious Learning: Effects of Overhearing Dialog and Monologue-Like Discourse in a Virtual Tutoring Session

    David M. Driscoll, Scotty D. Craig, Barry Gholson, Matthew Ventura, Xiangen Hu & Arthur C. Graesser

    In two experiments, students overheard two computer-controlled virtual agents discussing four computer literacy topics in dialog discourse and four in monologue discourse. In Experiment 1, the... More

    pp. 431-450

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  4. Education Students' Perceptions of Computers: A Cross-Cultural Study

    Shwu-Yong L. Huang

    This study investigates education students' perceptions of computers and the factors affecting their perceptions among education students in the United States and Taiwan. Sample subjects were 360... More

    pp. 451-469

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  5. Do Thinking Styles Matter in the Use of and Attitudes toward Computing and Information Technology among Hong Kong University Students?

    Li-Fang Zhang & Yunfeng He

    In the present study, the thinking styles as defined in Sternberg's theory of mental self-government are tested against yet another domain relevant to student learning. This domain is students'... More

    pp. 471-493

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  6. Essay Assessment with Latent Semantic Analysis

    Tristan Miller

    Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. In this article, I examine the application of LSA to automated... More

    pp. 495-512

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