Examination of Interaction Variables As Predictors of Students' Satisfaction and Willingness to Enroll in Future Web-Based Courses While Controlling for Student CharacteristicsPub_AbstractText~: The impetus for this study was the need to gain a better understanding of what interaction activities in the virtual classroom affect student outcomes. The purpose was to determine which perceptions of interactions contributed to predicting student outcomes of satisfaction and future enrollment in Web-based courses, while controlling for student characteristics. The problem is that the interaction that occurs in the Web-based classroom is markedly different than what occurs in the traditional classroom setting. The study was a secondary analysis using data from 388 student evaluations of Web-based courses. Using Astin's Input-Environment-Outcome (I-E-O) conceptual framework, influences of student characteristics [inputs] and virtual classroom interactions [environment] on student outcomes were examined. Student input predictors were perceptions of computer skills; knowledge of electronic communications; number of Web-based courses taken; distance living from campus; and age. Environmental predictors included interactions with the instructor, students, technology, and perceptions of presence. |
Contents
Statement of the Problem | 10 |
Significance of the Study | 12 |
Assumptions | 20 |
CHAPTER III | 72 |
CHAPTER IV | 103 |
Common terms and phrases
2-tailed assess Astin bivariate correlations Chickering Collinearity computer skills concepts taught confidence interval construct validity content validation process controlling for student course content DeBourgh Descriptive Statistics distance education distance living EEUWIN instrument effect effect size electronic enroll in future evaluation examined face-to-face interactions factor analysis Factor Loadings feedback findings future Web-based courses homoscedasticity Hypothesis I-E-O model included indicated interaction help interaction items interaction variables interface Internet Learner Learner-Content Interaction Learner-Instructor Interaction Learner-Interface Interaction Learner-Learner Interaction likelihood of enrolling living from campus living from main main campus miss the face-to-face multicollinearity nursing online course participation Pearson Correlation perceptions predicting students predictor variables Presence subscale regression analysis regression coefficient relationship between students research questions scatterplots self-reported ratings significant predictor Standardized Coefficients student characteristics student inputs student outcomes student satisfaction Subordinate Aim support for construct suppressor variable Table Thurmond variance Web-based environment willingness to enroll World Wide Web
Popular passages
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