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Ayça Fidan; Yasemin Koçak Usluel – Education and Information Technologies, 2024
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…
Descriptors: Online Courses, Electronic Learning, Metacognition, Emotional Response
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Xindi Kong; Hongyu Liang; Chunsheng Wu; Zheyan Li; Yuxin Xie – European Journal of Psychology of Education, 2025
Learning engagement is considered a reliable predictor for evaluating the effectiveness of online learning and has become a focal point in online education in recent years. This study investigated the roles and mechanisms of social presence and online learning self-efficacy in mediating the relationship between perceived teacher emotional support…
Descriptors: Online Courses, Self Efficacy, Teacher Student Relationship, Teacher Role
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Oronzo Mazzeo; Lucia Monacis; Paolo Contini – Turkish Online Journal of Distance Education, 2025
The study aimed to analyze the influence of such factors, as cognitive engagement, learning strategies and social support on academic success and student satisfaction in online learning environments. Data were collected in a cross-sectional survey carried out in the Winter semester of 2023. Participants were 523 students recruited from…
Descriptors: Success, Student Satisfaction, Online Courses, College Students
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Persada, Satria Fadil; Miraja, Bobby Ardiansyah; Nadlifatin, Reny; Belgiawan, Prawira Fajarindra; Perwira Redi, A. A. N.; Lin, Shu-Chiang – Technology, Knowledge and Learning, 2022
Despite the debates surrounding online private tutoring, most scholars agree that the private tutor approach provides much positive insight to be adopted. The present study measures the students' intention in using online private tutoring. The measurement was conducted with a structural equation model analysis. The expectation confirmation model…
Descriptors: Student Attitudes, Intention, Tutoring, Private Education
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Hong, Jon-Chao; Cao, Wei; Liu, Xiaohong; Tai, Kai-Hsin; Zhao, Li – Journal of Research on Technology in Education, 2023
Due to COVID-19, the primary teaching method has changed from traditional face-to-face teaching to online teaching. The present study explored the correlates between two personality traits, Neuroticism and Extraversion, and two types of self-efficacy, Internet self-efficacy and academic self-efficacy, on practical performance anxiety. Data from…
Descriptors: Personality Traits, Predictor Variables, Internet, Self Efficacy
Melissa M. Gleckler – ProQuest LLC, 2021
Online education continues to grow exponentially, yet faculty acceptance of online teaching and learning has not. Decades of qualitative study indicate that a majority of faculty continue to regard online education as inferior to traditional classroom learning (Butler & Sellbom, 2002; Wilson & Stacey, 2004; Lloyd, et al., 2012; Ubell,…
Descriptors: Teacher Attitudes, Online Courses, Educational Technology, Technology Integration
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Xiaoxue Du; Irina Lyublinskaya; Bryan Keller – Journal of Technology and Teacher Education, 2023
This study examined changes in Pre-service teachers' (PSTs) Technological Pedagogical Content Knowledge (TPACK) and self-perceived stage of adoption (SOA) of technology as PSTs progressed through an online summer educational technology course. The longitudinal study was guided by the following research questions: 1) How did PSTs' externally…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Technology Integration
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John Steele – Journal of Instructional Research, 2024
The ability to integrate technology into the online asynchronous classroom is a crucial component of online instruction. The purpose of this correlational study was to determine if online instructors' technology readiness (TR), instructors' age, or the instructors' online teaching experience could predict their students' course completion rates in…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Technological Literacy
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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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Bag, Sudin; Aich, Payel; Islam, Md. Aminul – Journal of Applied Research in Higher Education, 2022
Purpose: The aim of the study is to examine the intention of students toward the online education system with emphasis on online examination in higher education. The study investigated different constructs that have an influence on the use of the online platform for learning to the specific domain that mitigates the personal needs of the learners…
Descriptors: Intention, Student Attitudes, College Students, Online Courses
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Farsi, Zahra; Afaghi, Effat; Fournier, Andrew; Ahmadi, Yazdan; Sajadi, Seyedeh Azam; Aliyari, Shahla – Turkish Online Journal of Distance Education, 2022
Education in medical sciences, including nursing, has encountered numerous challenges following the worldwide outbreak of coronavirus disease 2019 (COVID-19). Additionally, students' satisfaction with the methods of instruction can be accompanied by improved learning outcomes. This study aimed to investigate the nursing students' satisfaction with…
Descriptors: Nursing Education, COVID-19, Pandemics, Nursing Students
Mandie Reynolds – ProQuest LLC, 2022
Given the increase of secondary students receiving instruction through virtual learning environments in the last two years, research is needed to explore the environmental factors that impact student achievement while learning online. This quantitative study used Strange and Banning's (2015) four types of learning environments, Physical, Human…
Descriptors: Educational Technology, Electronic Learning, Educational Environment, Secondary School Students
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Ding, Yan; Zhao, Ting – Journal of Computer Assisted Learning, 2020
Emotions are critical to learning. However, the function of emotions in the emerging context of massive open online courses (MOOCs) has been under-researched. The present study complemented this line of research by modelling the relation between learner emotions, engagement with videos, engagement with assignments, and self-perceived achievement…
Descriptors: Psychological Patterns, Online Courses, Learner Engagement, Educational Technology
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Alfredo Guzmán Rincón; Pedro Aurelio Sotomayor Soloaga; Ruby Lorena Carrillo Barbosa; Sandra Patricia Barragán-Moreno – Cogent Education, 2024
Enrollment in online higher education (OHE) programs has witnessed a substantial increase, owing to the benefits and added value it offers students. However, one of the main challenges in this educational modality is attrition. While research on attrition in online settings is plentiful, studies on student satisfaction with higher education…
Descriptors: Student Satisfaction, College Students, Predictor Variables, Intention
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Abdullah, Siti Intan Nurdiana Wong; Arokiyasamy, Klara; Goh, Sock Leng; Culas, Andrea Joveena; Manaf, Nor Masheera Abdul – Smart Learning Environments, 2022
Technology has enabled the higher education ecosystem to tailor to the students who have diverse needs and to engage with them remotely, especially when face-to-face interaction is not possible. This research contributes knowledge in forced remote learning during the unprecedented global pandemic situation of COVID-19. Using a cross-sectional…
Descriptors: Student Satisfaction, COVID-19, Pandemics, College Students
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