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Learning Effectiveness As A Function Of The Technologies Employed In Online Learning Settings

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Conference

2007 Annual Conference & Exposition

Location

Honolulu, Hawaii

Publication Date

June 24, 2007

Start Date

June 24, 2007

End Date

June 27, 2007

ISSN

2153-5965

Conference Session

Assessment and Evaluation in Engineering Education II

Tagged Division

Educational Research and Methods

Page Count

11

Page Numbers

12.1008.1 - 12.1008.11

DOI

10.18260/1-2--2060

Permanent URL

https://peer.asee.org/2060

Download Count

391

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Paper Authors

biography

Erol Ozan East Carolina University

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Dr. Ozan received his Ph.D. degree in Engineering Management from Old Dominion University, his MS degree in Applied Physics from Istanbul University, and his BS degree in Electronic and Electronics Engineering from Middle East Technical University. He is currently an assistant professor at East Carolina University in the Department of technology Systems. His research interests include decision support systems, information security, online learning systems, web application development, e-commerce, and simulation.

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Mohammad Tabrizi East Carolina University

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Dr. Tabrizi is a professor in the Department of Computer Science at East Carolina University. He received his Ph. D. degree in Automatic Control and Systems Engineering, his M.Sc. degree in Automatic Control and Systems Engineering, and his B. Sc. degree in Computer Science. His research interests include Modeling and Simulation, Computer Vision, Signal and Image Processing, Software Engineering, Internet and Multimedia, Software Process Modeling, Object Oriented Analysis and Design, Computer Science Education.

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Karl Wuensch East Carolina University

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Dr. Wuensch received his B.A. from Elmira College, M.A. from East Carolina University, and Ph.D. from Miami University. He is currently a professor and ECU Scholar-Teacher in the Department of Psychology at East Carolina University. His research interests include Comparative Psychology: Development, Paternal Care, & Evolution, Computing: Statistics, Instructional, and Internet Multivariate Research Design and Statistics, Social Psychology: Cross-Cultural, Jury Decisions, Ethical Ideology, and Attitudes about Animals.

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Shahnaz Aziz East Carolina University

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Dr. Aziz, completed her Ph.D. in Industrial/Organizational (I/O) psychology from Bowling Green State University. Her expertise lies in the application of psychological principles to human behavior in the workplace. In her program of research, she has mainly conducted studies in the area of workaholism, job attitudes (e.g., organizational commitment, job involvement, and job satisfaction), work stress, work-life balance, and life satisfaction. She teaches I/O psychology, which trains students in the research and application of I/O principles, as well as graduate testing/measurement and psychometrics. Moreover, she has served as a consultant to develop training needs assessments and performance appraisal systems.

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Masao Kishore East Carolina University

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Dr. Kishore, is a professor in the Department of Computer Science at East Carolina University. He teaches computer science classes at East Carolina University. Courses include computer graphics, database, numerical analysis, and programming languages (Java, Visual Basic, C++).

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Learning Effectiveness as a Function of the Technologies Employed in Online Learning Settings

Abstract

Technology is often viewed as an important factor that impacts the effectiveness of online learning systems. To explore the importance of various technologies, the authors conducted a comprehensive study that investigates the experiences of students and instructors that are involved in online learning. A number of questionnaires concerning perceptions, experiences, resources, and perceived effectiveness related to online education developed by the research team have been administered to a sample of students (over 4,500) at a large number of educational institutions throughout the United States. Survey participants constitute a large sample group that represents diverse backgrounds from geographically dispersed institutions worldwide. Responses were analyzed and discussed in the paper. The analysis focuses on the utilization of technology in online education and explores how students view its effectiveness as a function of the types of technologies used. Study covers various standard technologies such as instant messaging, email, discussion boards, chat rooms, web conference, audio communication, and electronic whiteboard as well as the use of relatively new virtual reality based environments. A comparative analysis was also conducted to identify the differences between face-to-face and online learning settings. Based on the findings of the analysis and the data gathered from the survey participants, a number of design methods and techniques that would influence the development of effective online course delivery systems are developed. This study is the first step in a longer program of research that will ultimately yield enhanced systems for online learning.

1. Introduction

Effectiveness of online learning settings has become an important research question as the number of online programs increase dramatically in the last decade. Numerous researchers studied the effectiveness of online education. Since the research problem has multiple dimensions, different researchers focused on different aspects of online learning. For example, some researchers have studied the effectiveness of online learning by focusing on its implications on performance in work place. Lima et al. studied the determinants of effective online training to reveal how these variables affect learning performance and transfer performance, two important elements of training effectiveness in the workplace. Their study shows that effective online education (OE) systems need ease of interaction, computer self-efficacy, and efficient communication in the virtual perspective as well as institutional factors such as support of seniors and continuous learning culture1.

The question of how to assess the effectiveness of online education is a challenging one by itself. Rovai2 proposed a framework that is designed to assess student performance, determine program and cost effectiveness, monitor quality of technology and support

Ozan, E., & Tabrizi, M., & Wuensch, K., & Aziz, S., & Kishore, M. (2007, June), Learning Effectiveness As A Function Of The Technologies Employed In Online Learning Settings Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii. 10.18260/1-2--2060

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