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Kristi Bright; Jane S. Vogler – Online Learning, 2024
Undergraduate enrollment in online courses has been trending upward over the past decade, despite declining enrollment overall. With the onset of COVID-19 during the Spring 2020 semester, more undergraduates were suddenly thrust into online courses. Although learning outcomes for face-to-face and online courses may not differ, some students may…
Descriptors: Electronic Learning, In Person Learning, Student Attitudes, Preferences
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Yingqi Tang; Hungwei Tseng; Yu-Chun Kuo; Hsin-Te Yeh; Jianfang Liu – Online Learning, 2025
Through a hierarchical multiple regression analysis, this study investigated how dimensions of online learning readiness and online connectedness influence students' intentions to continue to take online courses. Data from 369 students who took at least one online course at a four-year public university showed that online learning readiness had a…
Descriptors: Success, Electronic Learning, Learning Readiness, Online Courses
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Sheri Conklin; Beth Oyarzun; Stella Kim; Amy Garrett Dikkers – Online Learning, 2024
This quantitative study explored the relationships among student-instructor connectedness, learners' anxiety, and motivation in online higher education courses. Research has shown that student-instructor connectedness can affect student motivation in online learning. Utilizing the connectedness and anxiety items of the Student-Instructor…
Descriptors: Electronic Learning, Teacher Student Relationship, Anxiety, Student Attitudes
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Majewska, Izabela; Zvobgo, Varaidzo – Online Learning, 2023
COVID-19 imposed dramatic changes on educational practices worldwide with American institutions of higher learning moving a significant number of their courses and educational programs to electronic online modes. In the post-pandemic world, the same institutions and educational programs recognize the need to incorporate technological components…
Descriptors: COVID-19, Pandemics, Higher Education, Educational Technology
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Florence Martin; Beth Oyarzun; Ayesha Sadaf – Online Learning, 2023
Online learners are increasingly diverse (NCES, 2022), which underlines the need for instructors to be inclusive and equitable in online teaching. Inclusion refers to providing opportunities for all learners in the online course, so they can actively participate and feel welcomed and belong in the course, and equity ensures that all learners have…
Descriptors: Online Courses, Electronic Learning, Student Diversity, College Students
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Cottrell, Rebecca S. – Online Learning, 2021
As online enrollment increases in the United States, it is important to understand the impact of course modality on student outcomes. In particular, there has been limited research on the effect of course enrollment at Hispanic-serving institutions (HSI). The current study evaluated the effect of online course enrollment on student grades and on…
Descriptors: Academic Achievement, Performance Factors, Grade Point Average, Withdrawal (Education)
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Tuckel, Peter; Pok-Carabalona, Kate – Online Learning, 2023
Student attitudes towards distance learning can affect both the acquisition of knowledge and the motivation to learn. This study explores student attitudes towards the following four topics: (1) technological and environmental impediments towards distance learning, (2) asynchronous versus synchronous course preferences, (3) online versus in-person…
Descriptors: Student Attitudes, Distance Education, Urban Schools, Public Colleges
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Starr-Glass, David – Online Learning, 2015
In online distance learning environments military learners may not stand out or be particularly distinctive from their non-military peers. However, military learners do possess a degree of difference that needs to be recognized. The military can be considered to possess a Janusian culture--two distinctive cultural patterns that emerge in different…
Descriptors: Online Courses, Electronic Learning, Military Personnel, Distance Education
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Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics