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Showing 1 to 15 of 28 results Save | Export
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Madani, Haider; Adhikari, Ajay; Hodgdon, Christopher – Journal of International Education in Business, 2023
Purpose: This study aims to leverage the Unified Theory of Acceptance and Use of Technology framework developed by Venkatesh et al. (2003) to explore the factors influencing faculty willingness and acceptance of online teaching at a major Saudi Arabian university as we move to a post-COVID-19 new normal. Design/methodology/approach: We surveyed…
Descriptors: Foreign Countries, Teacher Attitudes, Online Courses, Educational Technology
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Costley, Jamie – International Journal of Educational Technology in Higher Education, 2021
This research investigates how learning groups affect student learning from two perspectives: first, the amount of group work students do, and second, the role that they take within the group. It is not clear from the current research how a student's role in collaborative learning affects his/her development of critical thinking and the…
Descriptors: Role, Group Dynamics, Group Activities, Cooperative Learning
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Wang, Wei-Tsong; Lin, Ying-Lien; Lu, Hsin-En – Education and Information Technologies, 2023
Students are commonly in a high cognitive load state when they encounter sophisticated knowledge. Whether the novel augmented reality (AR) technology can be utilized in an online learning course to explain complicated scientific concepts in a more understandable manner to students during the COVID-19 period is an unaddressed issue. This study aims…
Descriptors: Computer Simulation, Online Courses, COVID-19, Pandemics
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Costley, Jamie; Fanguy, Mik; Lange, Chris; Baldwin, Matthew – Journal of Computing in Higher Education, 2021
Ideally, instruction should be delivered in a way that reduces the processing of information that does not contribute to learning (extraneous load) and increases cognitive processing that contributes to learning (germane load). One way students might effectively manage extraneous load is through specific video lecture viewing strategies to control…
Descriptors: Video Technology, Lecture Method, Instructional Effectiveness, Learning Strategies
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Costley, Jamie – Interactive Technology and Smart Education, 2020
Purpose: This study aims to look at the relationship between extraneous cognitive load and germane cognitive load and how the use of cognitive learning strategies might moderate the relationship. Design/methodology/approach: This present study used survey data (n = 440) from randomly selected students taking large online classes in South Korea.…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Learning Strategies
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Lee, Jeonghyun; Soleimani, Farahnaz; Harmon, Stephen W. – American Journal of Distance Education, 2021
This study focuses on the recent emergency move from face-to-face to remote teaching in higher education due to the coronavirus disease pandemic (COVID-19). This mixed-method study uses data collected from an anonymous online survey as well as case study interviews. We aim to examine how this novel phenomenon affected the perceptions and teaching…
Descriptors: COVID-19, Pandemics, Distance Education, Electronic Learning
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Cheng, Xin; Ma, Xin-Yue; Luo, Chaohua; Chen, Jian; Wei, Wei; Yang, Xuesong – Advances in Physiology Education, 2021
Students' preferences and engagement with online educational resources and activities are crucial for academic success in the context of online medical education. This study investigated the preferences of Chinese medical students regarding the teaching strategies used by instructors and their relationship with course difficulty level, student's…
Descriptors: Correlation, Medical Students, Preferences, Electronic Learning
Bowman, Shennen – ProQuest LLC, 2018
A gap in the knowledge of literature was found in that no research had been performed examining the effect different physical learning environments have on cognitive load levels. This is important because high cognitive load levels are known to affect learning. The purpose of this quantitative correlational study is to examine the relationship…
Descriptors: College Environment, Undergraduate Students, Difficulty Level, Distance Education
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Wikle, Jocelyn S.; West, Richard E. – International Journal on E-Learning, 2019
Each year students spend thousands of hours participating in discussion forums. Yet there has not been sufficient scholarship on the observable effects of discussion forums on learning outcomes, and there is not a clear understanding of the role discussion forums play in transmitting knowledge of course concepts to students. This study…
Descriptors: Student Participation, Discussion Groups, Outcomes of Education, Difficulty Level
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Kozan, Kadir – AERA Online Paper Repository, 2017
The purpose of the present small-scale study was to investigate the factor structure of an adapted, 13-item subjective English cognitive load scale in a fully online learning context. To serve this purpose, adult online learners enrolled in a fully online graduate program completed the adapted English cognitive load scale at the end of an…
Descriptors: Factor Structure, Test Validity, Difficulty Level, Cognitive Processes
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Lange, C.; Costley, J. – Journal of Computer Assisted Learning, 2018
Highly interactive and complex content within e-learning induces high levels of intrinsic load. Self-regulated effort represents one strategy that may help learners overcome such issues within e-learning. Using intrinsic load items representative of content complexity, germane load items representative of learning, and self-regulated effort items…
Descriptors: Metacognition, Electronic Learning, Independent Study, Correlation
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Hughes, Christopher; Costley, Jamie; Lange, Christopher – Interactive Technology and Smart Education, 2018
Purpose: The paper aims to examine the effect of levels of self-regulated effort (SRE) and levels of cognitive load on the watching and completing of video lectures used as the main source of instruction in online learning environments. Design/methodology/approach: A survey provided data on the students' engagement with video lectures, their level…
Descriptors: Self Management, Difficulty Level, Video Technology, Lecture Method
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Willits, Fern; Brennan, Mark – Assessment & Evaluation in Higher Education, 2017
This study assessed the relationships of student attributes, course characteristics and course outcomes to college students' ratings of course quality in three types of settings. The analysis utilised data from online surveys of samples of college students conducted in 2011 and 2012 at the Pennsylvania State University. Included in the analysis…
Descriptors: College Students, Student Attitudes, Online Courses, Course Evaluation
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Olsen, Joel; Kalinski, Ray – Quarterly Review of Distance Education, 2017
Online professors typically assign teams based on time zones, performance, or alphabet, but are these the best ways to position student virtual teams for success? Personality and task complexity could provide additional direction. Personality and task complexity were used as independent variables related to the depended variable of team…
Descriptors: Teamwork, Cooperative Learning, Online Courses, Personality Traits
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Albelbisi, Nour Awni; Yusop, Farrah Dina – Turkish Online Journal of Distance Education, 2019
The importance of self-regulation in a MOOC has been extensively discussed in research studies that provide evidence about the significant relationship between self-regulated learning and success in an e-learning environment. Learners with high self-regulated learning are more independent in regulating their learning and have a greater probability…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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