Measuring Motivation to Predict Perceived Success in e-Learning Courses for Pre-Service Teachers: A Predictive-Correlational Study
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| Title: | Measuring Motivation to Predict Perceived Success in e-Learning Courses for Pre-Service Teachers: A Predictive-Correlational Study |
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| Authors: | Fleming, Erin G |
| Committee Members: | Kevin Struble |
| Summary: | This study examined whether a predictive relationship exists between perceived success in e-learning courses for pre-service teachers and their motivation toward learning at the college level. In this post-pandemic, technology-driven world, e-learning is more prevalent than ever. Understanding who will be successful in these courses is imperative. This study aimed to determine whether perceived success in e-learning courses for pre-service teachers could be predicted by their intrinsic motivation, extrinsic motivation, and amotivation scores. This predictive-correlational study utilized logistic regression to test the predictor variables: intrinsic motivation, extrinsic motivation, amotivation, motivation subsets, gender, age, sex, and program type against the criterion variable: perceived success. The Academic Motivation Scale is the survey instrument used to collect data from a prominent university's 68 undergraduate students participating in an online section of EDUC 201. The Logistic Regression revealed that the subscale Extrinsic Motivation-identified regulation was a significant predictor of perceived success for pre-service teachers in an online course. Still, none of the other predictor variables had a significant relationship. Further research on the subscales of motivation and their relationship to perceived e-learning success is recommended at a larger scale. Additionally, a similar study using an objective post-course success marker is suggested. |
| URL: | https://digitalcommons.liberty.edu/doctoral/4935 |
| Database: | OpenDissertations |
| Abstract: | This study examined whether a predictive relationship exists between perceived success in e-learning courses for pre-service teachers and their motivation toward learning at the college level. In this post-pandemic, technology-driven world, e-learning is more prevalent than ever. Understanding who will be successful in these courses is imperative. This study aimed to determine whether perceived success in e-learning courses for pre-service teachers could be predicted by their intrinsic motivation, extrinsic motivation, and amotivation scores. This predictive-correlational study utilized logistic regression to test the predictor variables: intrinsic motivation, extrinsic motivation, amotivation, motivation subsets, gender, age, sex, and program type against the criterion variable: perceived success. The Academic Motivation Scale is the survey instrument used to collect data from a prominent university's 68 undergraduate students participating in an online section of EDUC 201. The Logistic Regression revealed that the subscale Extrinsic Motivation-identified regulation was a significant predictor of perceived success for pre-service teachers in an online course. Still, none of the other predictor variables had a significant relationship. Further research on the subscales of motivation and their relationship to perceived e-learning success is recommended at a larger scale. Additionally, a similar study using an objective post-course success marker is suggested. |
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