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Online courses may not be for everyone. However, when eLearning is the only opportunity to receive education, it will be one of the instructor's responsibilities to ensure the eLearning experience is as compatible and comparable as possible to students' prior experience. Any online program may have to accommodate those who are limited to the choice of eLearning. This qualitative inquiry is deemed significant because of its attempt to discover a new tool that is suitable for a distributed learning environment. The Skype freeware enables course management system (CMS) users (i.e., the instructor and learners) to provide just-in-time clarification and information. Thus, learners can receive an immediate recognition of their courses of action, such as responsible and responsive participation in the course activities, which, in turn, encourages their autonomous and active or proactive learning on the Web. The audio tool also adds a high-touch, high-tech experience. Above all, a causal relationship between the three key elements of an instructional design approach is witnessed in this initial phase of analysis.

Five factors affecting student use of an eLearning management system in two Web-enhanced hybrid undergraduate courses are investigated using the Technology Acceptance Model (TAM). This research represents a causal relationship existing between students' attitude toward WebCT and their actual use of the system. Students' perception of the WebCT use, Computer Self-Efficacy, and Subjective Norms are also taken into account. Multigroup structural modeling procedure, specifically PROC CALIS, is used to extract those factors from student use of WebCT and to determine their interrelatedness among one another. Results show that extended adaptations of the Technology Acceptance Model are not as suitable for Engineering students as they are for Psychology students. Of the two competing models in the psychology class, Perceived Ease of Use is deemed an exogenous variable. A multi-sample analysis suggests that covariance structure differences between psychology and engineering students were found obvious over Computer Self-Efficacy and Subjective Norms variables. Lessons and experience from a southeastern metropolitan university in the United States are addressed.

Drawing from the Technology Acceptance Model, this correlational study was intended to determine student users' adoption of WebCT and its relationship to their final grade. In acknowledging the relevance of human-computer interaction, the author attempted to investigate a belief-attitude-behavior relationship in a WebCT setting. Given a social learning approach, two external variables affecting the relationship were taken into account. The qualitative inquiry involved two large-sized undergraduate hybrid courses with a total of 469 students participating. To model both direct and indirect causal effects as well as measurement error, path analysis was conducted, using structural equation modeling. Implications for practitioners and researchers and addressed.