Whitman's Concept of the Poet in Society

282 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1976.U of I OnlyRestricted to the U of I community until January 1st 2070 when copyright protections for this item will expire

How the Use of Second Life Affects E-Learners' Perceptions of Social Interaction in Online Courses

Educators, researchers, and online courses designers are increasingly investigating the use of 3-D shared virtual worlds for online education. This paper discusses the importance of social interaction in e-learning. We present the idea of using Second Life, a 3-D shared virtual world, in online courses. The researchers investigated the impact of using Second Life as a learning environment and a communication medium in online courses. We measured the extent to which the completion of a learning task and the communication in Second Life can enhance the elearners' perceptions of social interaction via a self-report questionnaire. A prototype application called The Village of Belknap was developed by the Delphi Center of Teaching and Learning at the University of Louisville. The study compared the perception of social interaction of e-learners who participated in Second Life sessions with the perception of social interaction of e-learners who did not participate in the Second Life sessions. The results indicated that the use of Second Life has a positive impact on experiencing a high perception of social interaction in online courses

Academic Performance, Age, Gender, and Ethnicity in Online Courses Delivered by Two-Year Colleges

This study investigated the effects the demographic variables age, gender, and ethnicity and their interactions had on academic performance in online courses delivered by public two-year colleges in Kentucky. The study controlled for previous academic performance measured by cumulative grade point average (GPA). The study used a random sample (N = 320) of all students who had enrolled in at least one online course delivered by the institutions of the Kentucky Community and Technical College System in the spring 2008 semester. A linear hierarchical multiple regression acting as ANCOVA served as the main analysis, with the order entry as follows: cumulative GPA; independent variables (age, gender, ethnicity); interaction vectors; and product vectors. Final course grade served as the dependent variable. The results of the analysis indicated that only cumulative GPA was a significant predictor, explaining approximately 40% of the variance of the final grade. Although differences in final grades were present among the variables age and ethnicity, these differences disappeared when controlling for cumulative GPA. Significance of the results and recommendations for future research are discussed

Applying gaming and simulation techniques to the design of online instruction

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