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Showing 1 to 15 of 41 results Save | Export
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Meenakshi Verma; Anuj Verma; Gangu Naidu Mandala – Cogent Education, 2023
The present study has attempted to study the effects of depression, mental distress, and sleep disorders among students during the COVID-19 pandemic. Stress, mental distress, depression, sleep disorders, headaches, loneliness, screen fatigue, and high distress levels are common symptoms observed across the population. The study focused on the…
Descriptors: Sleep, Depression (Psychology), Stress Variables, COVID-19
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Calaguas, Noriel P.; Consunji, Paolo Maria P. – Education and Information Technologies, 2022
We aimed to model the direct effects of the theorized relationships of academic self-efficacy, computer use self-efficacy, learning management system self-efficacy, internet and information-seeking self-efficacy, and online learning self-efficacy using structural equation modeling. The study proves that academic self-efficacy has positive…
Descriptors: Structural Equation Models, Self Efficacy, Computer Use, Academic Ability
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Azizi, Zeinab; Rezai, Afsheen; Namaziandost, Ehsan; Tilwani, Shouket Ahmad – Contemporary Educational Technology, 2022
E-learning anxiety plays a key role in students' success in online courses. One of the factors that may affect students' e-learning anxiety is computer self-efficacy (CSE). However, the role of CSE in high school students' e-learning anxiety has remained unexplored in the Iranian context. Therefore, the present mixed-methods study purports to…
Descriptors: Electronic Learning, Educational Technology, Online Courses, High School Students
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Alfadda, Hind Abdulaziz; Mahdi, Hassan Saleh – Journal of Psycholinguistic Research, 2021
The study uses technology acceptance model (TAM) to gain insights into user reactions to the technology adopted for language learning. The study aims to analyze the correlation between the variables of TAM on using Zoom application in language learning, in addition to examining how gender and experience influence the use of technology. The…
Descriptors: Undergraduate Students, Second Language Learning, English (Second Language), Electronic Learning
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Larbi-Apau, Josephine; Oti-Boadi, Mabel; Tetteh, Albert – International Journal on E-Learning, 2018
Both computer attitude and eLearning self-efficacy are critical complementary factors in determining confidence levels and behavioral belief systems, and can directly affect students' actions, performances and achievements. This study applied a multidimensional construct in validating computer attitude and eLearning self-efficacy of Psychology…
Descriptors: Computer Attitudes, Electronic Learning, Self Efficacy, Undergraduate Students
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Ryan, Sarah; Kaufman, Julia; Greenhouse, Joel; She, Ruicong; Shi, Judy – Community College Journal of Research and Practice, 2016
Whether through the use of online-only or hybrid/blended formats, colleges and universities across the country are increasingly utilizing online platforms as a medium for the delivery of instruction. At the same time, we know little about how student learning outcomes are related to students' engagement with online instructional formats. In…
Descriptors: Community Colleges, Two Year College Students, Blended Learning, Online Courses
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Ainsa, Patricia – Education, 2015
E-texts have become a main venue but research has not provided much guidance for practical adaptation, yet. This research query started in the spring of 2014 when an e-text was adopted for an undergraduate distance learning class. The change created some unexpected influence in the students' experiences. It was necessary to assess their…
Descriptors: College Students, Higher Education, Distance Education, Student Characteristics
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Lo, Hung-Jen; Fu, Gwo-Liang; Chuang, Kuei-Chih – Turkish Online Journal of Educational Technology - TOJET, 2013
The purpose of study was to understand the correlation between the needs of the learning effect on instructional website for the vocational high school students. Our research applied the statistic methods of product-moment correlation, stepwise regression, and structural equation method to analyze the questionnaire with the sample size of 377…
Descriptors: Correlation, Web Sites, Vocational Schools, High School Students
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Bradford, George R. – Internet and Higher Education, 2011
This study sought to explore if a relationship exists between cognitive load and student satisfaction with learning online. The study separates academic performance (a.k.a., "learning") from cognitive load and satisfaction to better distinguish influences on cognition (from cognitive load) and motivation (from satisfaction). Considerations that…
Descriptors: Electronic Learning, Online Courses, Student Attitudes, Satisfaction
Henson, Amy Renee – ProQuest LLC, 2013
The purpose of this research was to determine the extent that computer-related factors affect the success of nontraditional college students. Since nontraditional students typically have fewer skills than traditionally-aged students, they may be less efficacious regarding their ability to use technology. Unfortunately, such reduced confidence may…
Descriptors: Computer Uses in Education, Nontraditional Students, Computer Literacy, Online Searching
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Mahasneh, Randa A.; Sowan, Azizeh K.; Nassar, Yahya H. – E-Learning and Digital Media, 2012
This article compares actual help-seeking frequencies across online and face-to-face learning environments. It also examines strategies enacted by nursing students when they faced academic difficulties, reasons for help-seeking avoidance, and the relationship between the frequency of asking questions and achievement. Participants were nursing…
Descriptors: Nursing Students, Online Courses, Help Seeking, Educational Technology
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Hauser, Richard; Paul, Ravi; Bradley, John – Journal of Information Technology Education: Research, 2012
The purpose of this research is to examine the relationships between changes to computer self-efficacy (CSE) and computer anxiety and the impact on performance on computer-related tasks in both online and face-to-face mediums. While many studies have looked at these factors individually, relatively few have included multiple measures of these…
Descriptors: Innovation, Personal Autonomy, Self Efficacy, Management Information Systems
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Luo, Yi; Pan, Rui; Choi, Jea H.; Mellish, Linda; Strobel, Johannes – Journal of Educational Computing Research, 2011
Existing research on choice of online learning utilized factors such as perceived level of control, independence, and satisfaction, yet the relationship among these factors is under-researched. Due to the value of "learning anytime," biological factors underlying "choice of time" might provide additional insights. This article…
Descriptors: Electronic Learning, Online Courses, Statistical Significance, Computer Uses in Education
Rowe-Whyte, Ann-Marie Simone – ProQuest LLC, 2012
This study examined the nature of communication experienced by ethnically diverse students who participated in an online distance education course. A quantitative survey research design was used to gather data from students enrolled in an online distance education course. The research examined whether the independent variables, (a) instructional…
Descriptors: Student Diversity, Online Courses, Distance Education, Statistical Analysis
Chase, Artyce-Joy E. – ProQuest LLC, 2010
The purpose of this study was to explore undergraduate students' behaviors related to academic dishonesty. Additionally, this study examined students' perceptions of their own connectedness within the online classroom, and perceptions of the effectiveness of deterrents to cheating. Participants in the study were enrolled in online courses within…
Descriptors: Feedback (Response), Undergraduate Students, Student Attitudes, Ethics
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