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Journal of Research on 

Technology in Education

Edited by Dr. David J. Ayersman, Mary Washington College, and Dr. W. Michael Reed, New York University

Incoming editor: Dr. Lynne Schrum, University of Georgia

formerly Journal of Research on Computing in Education

Volume 34 Number 3 2002

Understanding the Dimensions of Self-Exploration in Web-Based Learning Environments
Lih-Ching Chen Wang and Joshua Gisemba Bagaka’s
Cleveland State University

Abstract
This study investigated the dimensions of self-exploration in Web-based learning environments using an attitude survey given to 209 college students. Through factor analysis, five dimensions of self-exploration in Web-based learning environments were identified. One-way analysis of variance revealed statistically significant differences in levels of self-exploration in three dimensions by gender and in four dimensions by native English speaking ability. Understanding the dimensions of self-exploration in Web-based learning environments among college students may help educators (1) design effective Web-based instructional materials, (2) identify Web resources that draw on students’ learning needs and interests, and (3) consider different interests of students who speak English as a second language. (Keywords: English as a second language, Internet, self-exploration, Web-based learning, Web-based learning environment.)

Contributors
Lih-Ching Chen Wang is an assistant professor of educational technology in the College of Education at Cleveland State University. Her research focuses on Web-based learning and training, Web-based surveys and testing, online distance education, use of hypermedia and multimedia for instructional delivery and curriculum integration, computer uses for teacher education, and streaming video.

Joshua Gisemba Bagaka’s is an assistant professor of educational research and statistics in the College of Education at Cleveland State University. His research focuses on a hierarchical linear model in school effectiveness research, the use of the bootstrap method in hierarchical linear modeling, and the value-added model for school effectiveness in Ohio proficiency tests.

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Contact
Dr. Lih-Ching Chen Wang
Cleveland State University
1860 East 22nd St., Cleveland, OH 44114
wang@cis.csuohio.edu

Copyright © 2002, ISTE (International Society for Technology in Education). All rights reserved.

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