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Showing 1 to 15 of 59 results Save | Export
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Sudeshna Pal; Patsy Moskal; Anchalee Ngampornchai – International Journal on E-Learning, 2024
This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course…
Descriptors: Blended Learning, Advanced Courses, Engineering Education, Undergraduate Students
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Liao, Hongjian; Zhang, Qianwei; Yang, Lin; Fei, Yuenong – Education and Information Technologies, 2023
This study explored the relationships among regulated learning, teaching presence and student engagement in blended learning. A two-level model was designed based on contextual factors (teaching presence) and individual factors (regulated learning), and experience sampling method was employed to collect intensive longitudinal data on 139…
Descriptors: Metacognition, Teaching Methods, Learner Engagement, Blended Learning
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Tugtekin, Ufuk – Journal of Educational Technology and Online Learning, 2023
This cross-sectional study aims to investigate the factors influencing the levels of online learning fatigue among blended learners in higher education amid the post-pandemic era. In this context, a total of 347 college students voluntarily completed an online questionnaire, including the Online Learning Fatigue (OLF) Scale, to determine the…
Descriptors: Online Courses, Blended Learning, College Students, Student Attitudes
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Samantha G. Daley; Michelle E. Heckman; Rebecca L. Rosen; Halil I. Sari – Journal of Early Adolescence, 2025
The COVID-19 pandemic resulted in dramatic changes to the experiences of school for young people around the world as youth and adults navigated changes to instructional format and means of engaging in teaching and learning. School connectedness during the pandemic served a potentially protective role for adolescents during this uncertain time. In…
Descriptors: COVID-19, Pandemics, Student Attitudes, Interpersonal Relationship
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Zhao, Shu-rong; Cao, Cui-hong – SAGE Open, 2023
Collaboration proves to be an effective way to facilitate students' engagement and solve the mostly-mentioned problems of blended learning (BL). For collaborative BL, self-regulated learning (SRL), self-efficacy and engagement are frequently referred to in BL studies and represent key elements of effective BL. Furthermore, the interaction of these…
Descriptors: Foreign Countries, College Students, Self Management, Learning
James Max Christensen – ProQuest LLC, 2021
Online learning sessions are becoming increasingly common. In this study, we reviewed over 150 studies of online and blended learning, revealing that the factors that affect student preferences for online or in-person learning vary widely and compiled a table of these factors. They can be categorized as either learning preferences or current…
Descriptors: Student Attitudes, Preferences, Decision Making, Online Courses
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Christina Shane-Simpson; Rita Obeid; Manna Prescher – Teaching of Psychology, 2024
Background: Student perceptions of inclusion have been predicted by rapport, and belongingness in face-to-face courses, although these relationships have not been studied across course delivery formats. Objective: This study clarified relationships among course multimedia characteristics, student--professor rapport, instructor and student…
Descriptors: Multimedia Materials, Teacher Student Relationship, Learner Engagement, Educational Environment
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Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis; Mat Raffei, Anis Farihan; A_L Eh Phon, Danakorn Nincarean; Abdullah, Aziman; Leong Ming, Gan; A. Shukor, Nurbiha; Shukri Nordin, Mohd; Baba, Suria – International Journal of Information and Learning Technology, 2020
Purpose: Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned…
Descriptors: Blended Learning, Predictor Variables, College Students, Student Attitudes
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Bamoallem, Banan; Altarteer, Samar – Education and Information Technologies, 2022
This study explores the impact of remote emergency learning during the COVID-19 pandemic on students' perception and acceptance of blended learning after the pandemic. The study applies the Community of Inquiry framework to understand the predictors and whether there is any statically significant correlation between the experience of remote…
Descriptors: Foreign Countries, COVID-19, Pandemics, School Closing
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Pressley, Timothy – Journal of Research in Education, 2021
During the 2020-2021 school year, the COVID-19 pandemic pushed many school districts to implement alternative teaching approaches including, socially distanced classrooms with hybrid teaching schedules or all virtual instruction. This study aimed to gain insight into the impact of COVID-19 on hybrid and virtual elementary teacher stress.…
Descriptors: Elementary School Teachers, Blended Learning, Web Based Instruction, Anxiety
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Arthur-Nyarko, Emmanuel; Gyan, Stephen Brobbey; Asante, Alexander – International Journal of Learning Technology, 2021
This study investigated the determinants of students' behavioural intention (BI) to use mobile learning management systems (M-LMS) in a blended distance learning environment. The study was undertaken at the College of Distance Education (CoDE) of the University of Cape Coast (UCC) in Ghana. Using a predictive correlational design, a 28-item…
Descriptors: Foreign Countries, Student Behavior, Intention, Integrated Learning Systems
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Anthony, Bokolo; Kamaludin, Adzhar; Romli, Awanis; Raffei, Anis Farihan Mat; Nincarean A/L Eh Phon, Danakorn; Abdullah, Aziman; Ming, Gan Leong; Shukor, Nurbiha A.; Nordin, Mohd Shukri; Baba, Suria – Education and Information Technologies, 2019
As the years progress there has been rapid growth in Blended Learning (BL) adoption, but only few research focused on adoption issues related to learners, academic staffs and management. Thus, research is needed to guide universities in strategically examining learners, academic staffs and management adoption of BL. Accordingly, this study…
Descriptors: Blended Learning, Instructional Effectiveness, Adoption (Ideas), Administrator Attitudes
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Xiao, Jun; Sun-Lin, Hong-Zheng; Lin, Tzu-Han; Li, Mengyuan; Pan, Zhimin; Cheng, Hsu-Chen – British Journal of Educational Technology, 2020
Compared with fully face-to-face or online learning environments, implementation of hybrid learning spaces is costly given the spaces making all learning options available for learners. Therefore, decisions on investments in hybrid learning are critical for institutions. Satisfaction and experience of learners is one of the important indicators…
Descriptors: Blended Learning, Open Universities, Correlation, Decision Making
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McKendall, Sherron Benson; McKendall, Alan; Chester, Ann; Morton, Catherine; Freeland, Sean; Kuhn, Summer; McMillion, Mary – Journal of STEM Outreach, 2021
This paper examines the perspectives of Health Sciences and Technology Academy (HSTA) participants as they navigate through their West Virginia (WV) high school learning environments (i.e., in-person, blended/hybrid, complete virtual) during the novel coronavirus, SARS-CoV-19 (COVID-19) pandemic. In March of 2020, the participants in this…
Descriptors: High School Students, COVID-19, Pandemics, Student Attitudes
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Almasi, Mustapha; Zhu, Chang – Electronic Journal of e-Learning, 2020
Cognitive presence sustains the learning community through intellectual discourse. Previous studies have explored cognitive presence using mainly quantitative measures in relation to students' perceived learning. This study adopts a mixed-method approach to investigate students' perception of cognitive presence, its relationship with academic…
Descriptors: Student Attitudes, College Students, Blended Learning, Predictor Variables
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