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Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; de Castro, Carlos – Internet and Higher Education, 2011
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 profiles to share and score the discovered information. The mining tool is oriented to be used by non-expert instructors in data mining so its internal…
Descriptors: Electronic Learning, Cooperation, Data, Instructional Design
Bradford, George R. – Internet and Higher Education, 2011
This study sought to explore if a relationship exists between cognitive load and student satisfaction with learning online. The study separates academic performance (a.k.a., "learning") from cognitive load and satisfaction to better distinguish influences on cognition (from cognitive load) and motivation (from satisfaction). Considerations that…
Descriptors: Electronic Learning, Online Courses, Student Attitudes, Satisfaction
Roberts, Jodi B.; Crittenden, Laura A.; Crittenden, Jason C. – Internet and Higher Education, 2011
Distance education has grown significantly over the past two decades, and the need to evaluate and enforce online course federal accessibility standards is gaining momentum among educators, students, and legislators. The purpose of this study was to determine if students with disabilities, who are enrolled in online courses, certifications, and…
Descriptors: Electronic Learning, Distance Education, Online Courses, Disabilities
Hogan, R. Lance; McKnight, Mark A. – Internet and Higher Education, 2007
Burnout has been identified as a significant issue among those in instructional positions. The purpose of the present research was to identify and describe the status of burnout among higher education online instructors. The population for this study included responses of 76 online instructors employed by baccalaureate granting institutions within…
Descriptors: Teacher Burnout, Data Analysis, Online Courses, College Faculty
Smith, Glenn G.; Heindel, Allen J.; Torres-Ayala, Ana T. – Internet and Higher Education, 2008
Differences in curriculum and teaching styles across disciplines in higher education courses are also evident in online courses. This study used two widely available sources of data, CMS tool usage logs and course evaluations, to analyze differences between online courses in disciplinary quadrants (hard-pure, hard-applied, soft-pure, soft-applied)…
Descriptors: Higher Education, Teaching Styles, Online Courses, Intellectual Disciplines

Dringus, Laurie P. – Internet and Higher Education, 2002
Presents a compilation of resources that may be useful for researchers, teachers, administrators, and students who wish to locate information about the field of online learning and the uses of the Internet for instructional delivery. Includes conferences, journals, Web sites, and books and reports. (Author/LRW)
Descriptors: Computer Uses in Education, Conferences, Internet, Online Courses
Woo, Younghee; Reeves, Thomas C. – Internet and Higher Education, 2007
Interaction is an essential ingredient in any learning process. However, every interaction does not lead to increased learning. When interaction has a direct influence on learners' intellectual growth, we can say the interaction is meaningful. The precise meaning of meaningful interaction is strongly related to the learning theories underlying the…
Descriptors: Constructivism (Learning), Instructional Design, Interaction, Internet
Morris, Libby V.; Finnegan, Catherine; Wu, Sz-Shyan – Internet and Higher Education, 2005
The purpose of this research was to examine student engagement in totally asynchronous online courses through an empirical analysis of student behavior online and its relationship to persistence and achievement. A total of 13 sections of three undergraduate, general education courses provided the setting for the study. Three hundred fifty-four…
Descriptors: Education Courses, Academic Persistence, Student Participation, Online Courses