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Internet and Higher Education

March 2011 Volume 14, Number 2

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Table of Contents

Number of articles: 8

  1. What can instructors and policy makers learn about Web-supported learning through Web-usage mining

    Anat Cohen & Rafi Nachmias

    This paper focuses on a Web-log based tool for evaluating pedagogical processes occurring in Web-supported academic instruction and students' attitudes. The tool consists of computational measures ... More

    pp. 67-76

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  2. A collaborative educational association rule mining tool

    Enrique García, Cristóbal Romero, Sebastián Ventura & Carlos de Castro

    This paper describes a collaborative educational data mining tool based on association rule mining for the ongoing improvement of e-learning courses and allowing teachers with similar course... More

    pp. 77-88

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  3. Classroom walls that talk: Using online course activity data of successful students to raise self-awareness of underperforming peers

    John Fritz

    Similar to other institutions, the University of Maryland, Baltimore County (UMBC) has determined that a relationship may exist between student performance as defined by grades, and activity in the... More

    pp. 89-97

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  4. Online persistence in higher education web-supported courses

    Arnon Hershkovitz & Rafi Nachmias

    This research consists of an empirical study of online persistence in Web-supported courses in higher education, using Data Mining techniques. Log files of 58 Moodle websites accompanying Tel Aviv ... More

    pp. 98-106

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  5. Types of online hierarchical repository structures

    Arnon Hershkovitz, Ronit Azran, Sharon Hardof-Jaffe & Rafi Nachmias

    This study presents an empirical investigation of online hierarchical repositories of items presented to university students in Web-supported course websites, using Web mining methods. To this end,... More

    pp. 107-112

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  6. Academics online: Their interests and foibles

    Katrina A. Meyer & Larry McNeal

    Faculty and staff are participating in blogs and online discussions in greater numbers, but this involvement is poorly understood. This study used content analysis to evaluate 40 online discussions... More

    pp. 113-120

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  7. Overcoming student resistance to group work: Online versus face-to-face

    Glenn Gordon Smith, Chris Sorensen, Andrew Gump, Allen J. Heindel, Mieke Caris & Christopher D. Martinez

    This study compared student group work experiences in online (OL) versus face-to-face (f2f) sections of the same graduate course, over three years, to determine what factors influence student group... More

    pp. 121-128

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  8. e-Learning, online learning, and distance learning environments: Are they the same?

    Joi L. Moore, Camille Dickson-Deane & Krista Galyen

    It is not uncommon that researchers face difficulties when performing meaningful cross-study comparisons for research. Research associated with the distance learning realm can be even more... More

    pp. 129-135

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