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Peijiang Chen; Xueyin Yang – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline is designed, and the main learning behaviors that…
Descriptors: Evaluation Methods, Blended Learning, Multiple Regression Analysis, Learning Processes
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Code, Jillianne; Zap, Nick; Ralph, Rachel – International Journal on E-Learning, 2021
Academic success in any context is dependent upon a student's belief in their ability to succeed. While learning online, a students' self-efficacy is affected by their confidence in their ability to interact within the online environment. With the proliferation of personalized learning and the growth of Massive Open Online Courses, this growing…
Descriptors: Academic Achievement, Online Courses, Self Efficacy, Personality
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Oyelere, Solomon Sunday; Olaleye, Sunday Adewale; Balogun, Oluwafemi Samson; Tomczyk, Lukasz – Education and Information Technologies, 2021
This study uses the quantitative research approach to examine the connection between students' teamwork experience, self-regulated learning, technology self-efficacy, and performance in an online educational technology course. Sixty-three (63) students participated in this study. The study data were collected through an online questionnaire that…
Descriptors: Teamwork, Student Experience, Learning Strategies, Academic Achievement
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Figueroa-Cañas, Josep; Sancho-Vinuesa, Teresa – Interactive Learning Environments, 2021
Most teachers of mathematics think that regular practice is essential for success. In face-to-face instruction settings, regular practice requires doing homework, which has to provide students with feedback in order to be useful. Online homework allows teachers to assume the workload involved in providing feedback to a large number of students…
Descriptors: Drills (Practice), Tests, Academic Achievement, Asynchronous Communication
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Martin, Anna M. – Journal of Digital Learning in Teacher Education, 2020
As both universities and students demonstrate an increasing interest in offering and taking online courses, a better understanding of the causes of student outcomes, such as student achievement has become increasingly important. This study investigated an additional variable, the role of the teacher, which has been hidden within and in many…
Descriptors: Teacher Characteristics, Academic Achievement, College Faculty, Online Courses
Silva, Laura Ann – ProQuest LLC, 2018
Adult online learners represent the largest demographic in higher education. Academic leaders increasingly use non-designer instructors (NDIs) to meet demands. NDIs have little control over course design, part of teaching presence valued by learners. This quantitative, predictive correlational study investigated (1) to what frequency online…
Descriptors: Electronic Learning, Statistical Analysis, Correlation, Educational Media
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Heo, JeongChul; Han, Sumi – Education and Information Technologies, 2018
The purpose of this study is to determine whether the self-directed learning readiness (SDLR) among online students might be significantly predicted by motivation, academic stress, and age. To complete the purpose of this study, the Pearson correlation and multiple-regression are analyzed. The participants for this study are college students who…
Descriptors: Motivation, Independent Study, Online Courses, Electronic Learning
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Barnett, Donald E. – International Journal of Research in Education and Science, 2018
Advances in technology and the rapid expansion and affordability of the internet have helped facilitate the use of online education, or e-learning. To accommodate increased online enrollments, universities are hiring adjunct faculty to teach online courses. Despite the importance of adjunct faculty, there is a lack of research on the experiences…
Descriptors: College Faculty, Adjunct Faculty, Online Courses, Predictor Variables
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Uppal, Muhammad Amaad; Ali, Samnan; Gulliver, Stephen R. – British Journal of Educational Technology, 2018
e-Learning courses are fast becoming common-place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e-learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e-learning…
Descriptors: Electronic Learning, Educational Quality, Quality Assurance, Reliability
Aylward, Bryan T. – ProQuest LLC, 2018
Online distance education program has continued to change the educational landscape in higher education. There has been extensive research on the relationship between course size, faculty performance, and student success within traditional on-ground colleges and universities, but limited research as it related to online educational modalities. The…
Descriptors: Distance Education, Online Courses, Correlation, Multiple Regression Analysis
Martin, Anna M. – ProQuest LLC, 2017
As both universities and students demonstrate an increasing interest in offering and taking online courses, a better understanding of the causes of student outcomes, such as student achievement has become increasingly important. Exploring the causes of varying rates of student success in online courses of higher education is an ongoing challenge…
Descriptors: Teacher Characteristics, College Faculty, Higher Education, Online Courses
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Deshpande, Anant; Chukhlomin, Valeri – American Journal of Distance Education, 2017
Massive Online Open Course (MOOC) research indicates that lack of student motivation to learn generally plays a significant role in student attrition and dropouts. Aside from this, very little is known specifically about student motivation to learn in MOOCs. The purpose of this study is to empirically investigate the ways in which content,…
Descriptors: Online Courses, Student Motivation, Electronic Learning, Questionnaires
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Blau, Gary; Drennan, Rob B., Jr.; Karnik, Satyajit; Kapanjie, Darin – Decision Sciences Journal of Innovative Education, 2017
Lower teaching evaluations can affect students' willingness to recommend an online course. To maintain online course quality, it is important to keep the "integrity" of a course, that is, offer to the extent possible, the same content and learning outcomes in an online course as the face-to-face (F2F) equivalent. This study explored the…
Descriptors: Undergraduate Students, Online Courses, Value Judgment, Communication (Thought Transfer)
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Jordan, Katy – International Review of Research in Open and Distributed Learning, 2015
This analysis is based upon enrolment and completion data collected for a total of 221 Massive Open Online Courses (MOOCs). It extends previously reported work (Jordan, 2014) with an expanded dataset; the original work is extended to include a multiple regression analysis of factors that affect completion rates and analysis of attrition rates…
Descriptors: Online Courses, Large Group Instruction, Course Evaluation, Student Attrition
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Lim, Janine M. – Distance Education, 2016
Self-paced online courses meet flexibility and learning needs of many students, but skepticism persists regarding the quality and the tendency for students to procrastinate in self-paced courses. Research is needed to understand procrastination and delay patterns of students in online self-paced courses to predict successful completion and…
Descriptors: Online Courses, Time Factors (Learning), Pacing, Time Management
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