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Full-Text Articles in Education

Measuring Motivation To Predict Perceived Success In E-Learning Courses For Pre-Service Teachers: A Predictive-Correlational Study, Erin G. Fleming Nov 2023

Measuring Motivation To Predict Perceived Success In E-Learning Courses For Pre-Service Teachers: A Predictive-Correlational Study, Erin G. Fleming

Doctoral Dissertations and Projects

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 …


The Relationship Between Mobile Learning And Academic Achievement In A Community College System Online Environment, Daniel Grenier Apr 2018

The Relationship Between Mobile Learning And Academic Achievement In A Community College System Online Environment, Daniel Grenier

Doctoral Dissertations and Projects

This study poses the question: Is there a relationship between student use of mobile technology in an online environment and student achievement expressed by final grades? The purpose of this study is to examine the relationship between mobile learning (m-learning) using mobile technology and academic achievement in terms of final grades in an online environment. The literature on m-learning indicates the freedom and flexibility of the m-learner constitutes a new paradigm in education. The untethered nature of m-learning means students can access course content anywhere, anytime. Studies have focused on the use of specific technologies in learning environments; this study …


Describing The Experience Of Teaching Theological Education Courses Cross-Culturally Using E-Learning Methods: A Phenomenological Study, Michael Loren Bogart Nov 2017

Describing The Experience Of Teaching Theological Education Courses Cross-Culturally Using E-Learning Methods: A Phenomenological Study, Michael Loren Bogart

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study will be to describe how selected Western theological educators have experienced the process of teaching theological education courses cross-culturally using e-learning methods. The essential phenomenon will be explored through the central research question: How do Western ministry educators experience cross-cultural theological education using e-learning formats? The theoretical framework guiding this study will be Knowles’ Adult Learning Theory, with Hofstede’s Dimensions of Culture informing the cross-cultural elements. Participants will be selected from a population of educators within Nicene Christianity with theological bachelor’s degrees and above from accredited Western educational institutions. The methods of data …


An Investigation Of The Variables That Predict Teacher E-Learning Acceptance, Juliette Attis Jul 2014

An Investigation Of The Variables That Predict Teacher E-Learning Acceptance, Juliette Attis

Doctoral Dissertations and Projects

Because of advancements in information communication technologies (ICT), education has evolved in terms of how the students are taught and how students learn. Education can take place in a traditional setting and/or a virtual learning environment (VLE). Consequently, the purpose of this quantitative predictive study was to examine variables that best predict the e-learning acceptance of public school K-12 e-learning teachers. Using a hierarchical regression analysis to analyze 112 teacher survey responses, results demonstrated that the model consisting of the predictor variables (i.e., demographics and experience variables, computer anxiety, computer self-efficacy, technological complexity, perceived convenience, perceived usefulness, and perceived ease …