Examination of Interaction Variables As Predictors of Students' Satisfaction and Willingness to Enroll in Future Web-Based Courses While Controlling for Student CharacteristicsUniversal-Publishers, 2003 - 252 páginas Pub_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. |
Conteúdo
Statement of the Problem | 10 |
Significance of the Study | 12 |
Assumptions | 20 |
CHAPTER III | 72 |
Instrumentation | 78 |
CHAPTER IV | 103 |
Summary | 135 |
Termos e frases comuns
2-tailed academic goals and/or and/or career plans assess Astin bivariate correlations Collinearity computer skills concepts taught confidence interval construct validity controlling for student course content cross-loaded onto factor Descriptive Statistics discuss ideas discuss your academic distance education Distance living EEUWIN instrument effect size enroll in future evaluation face-to-face interaction factor analysis factor loading feedback future Web-based courses goals and/or career homoscedasticity Hypothesis I-E-O model ideas and concepts indicated interaction variables interface Internet item 26 kurtosis 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 participate in scheduled perceptions predicting students predictor variables Presence subscale regression analysis regression coefficient relationship between students research questions scatterplots Standardized Coefficients student characteristics student outcomes student satisfaction Subordinate Aim support for construct Table Thurmond variance Web-based environment willingness to enroll World Wide Web
Passagens mais conhecidas
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