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Showing 1 to 15 of 62 results Save | Export
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Lange, Christopher – Open Learning, 2023
Cognitive processing issues online may be reduced through e-learning personalisation, which allows learners to address individual learning needs by controlling how they process information. While some research shows that e-learning personalisation may actually complicate information processing under specific circumstances, this study examines…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Costley, Jamie; Lange, Christopher – Interactive Learning Environments, 2023
The use of e-learning personalization allows learners to control their learning by choosing which content to process and how to process it. In order to explain the processes that occur when students use e-learning personalization, this study looks at how it interacts with two other variables: sequencing and fading, a scaffolding technique where…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Lanqin Zheng; Yunchao Fan; Zichen Huang; Lei Gao – Journal of Computer Assisted Learning, 2024
Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building,…
Descriptors: Cooperative Learning, Electronic Learning, College Students, Learning Strategies
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Conrad, Colin; Deng, Qi; Caron, Isabelle; Shkurska, Oksana; Skerrett, Paulette; Sundararajan, Binod – British Journal of Educational Technology, 2022
The COVID-19 pandemic has posed a significant challenge to higher education and forced academic institutions across the globe to abruptly shift to remote teaching. Because of the emergent transition, higher education institutions continuously face difficulties in creating satisfactory online learning experiences that adhere to the new norms. This…
Descriptors: Student Attitudes, Electronic Learning, Student Satisfaction, Difficulty Level
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Maria Assunção Flores; Ana Margarida Veiga Simão; Paula Costa Ferreira; Diana Pereira; Alexandra Barros; Paulo Flores; Eva Lopes Fernandes; Luís Costa – Research in Post-Compulsory Education, 2024
The closure of higher education institutions as a result of the COVID-19 pandemic has necessitated a sudden and unexpected transition from face-to-face to online teaching and learning. This paper draws on data from a broader study focusing on higher education students' perceptions and experiences of online learning during the first lockdown in…
Descriptors: Electronic Learning, Feedback (Response), COVID-19, Difficulty Level
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Chih-Hung Wu; Kai-Di Tang; Kang-Lin Peng; Yueh-Min Huang; Chih-Hsing Liu – Educational Psychology, 2024
Cognitive styles and affective factors are critical factors affecting e-learning performance in this digital era. Learners can enhance their affective learning with a correct cognitive style. This study aims to examine various cognitive styles with effective learning measurement tools through subjective and objective instruments by observing…
Descriptors: Electronic Learning, Cognitive Style, Cognitive Processes, Difficulty Level
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Detyna, Michael; Sanchez-Pizani, Rodrigo; Giampietro, Vincent; Dommett, Eleanor J.; Dyer, Kyle – Learning Environments Research, 2023
In 2020, King's College London introduced HyFlex teaching as a means to supplement online and face-to-face teaching and to respond to COVID-19 restrictions. This enabled teaching to a mixed cohort of students (both online and on campus). This article provides an outline of how such an approach was conceptualized and implemented in a…
Descriptors: Blended Learning, Curriculum Implementation, Synchronous Communication, Electronic Learning
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Du, Xu; Dai, Miao; Tang, Hengtao; Hung, Jui-Long; Li, Hao; Zheng, Jinqiu – Journal of Computing in Higher Education, 2023
Distance education programs have become the preferred option for most higher education institutions to continue teaching during the COVID-19 pandemic, but the effectiveness of some online courses, especially those engineering courses with experimentation activities, remains disputed. The main challenge is fostering collaborative problem solving…
Descriptors: College Students, Cooperation, Participative Decision Making, Problem Solving
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Wang, Fuxing; Cheng, Meixia; Mayer, Richard E. – Journal of Educational Psychology, 2023
Learning-by-teaching is a generative learning strategy in which students are asked to teach what they are learning to others (Fiorella & Mayer, 2015). In this study, college students watched a multimedia lesson on chemical synaptic transmission with instructions that afterward they would explain the materials by making a lecture video…
Descriptors: Teaching Methods, Interaction, Learning Activities, Social Behavior
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Costley, Jamie – Interactive Learning Environments, 2022
The purpose of this study was to build on the existing research into the relationships between collaboration and germane cognitive load in online learning environments. Where this study differs is the examination into the importance of the system functionality of online environments and its relationship to germane cognitive load and collaboration.…
Descriptors: Cooperative Learning, Foreign Countries, Cognitive Processes, Difficulty Level
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Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
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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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Noetel, Michael; Griffith, Shantell; Delaney, Oscar; Sanders, Taren; Parker, Philip; del Pozo Cruz, Borja; Lonsdale, Chris – Review of Educational Research, 2021
Universities around the world are incorporating online learning, often relying on videos (asynchronous multimedia). We systematically reviewed the effects of video on learning in higher education. We searched five databases using 27 keywords to find randomized trials that measured the learning effects of video among college students. We conducted…
Descriptors: Video Technology, Higher Education, Educational Research, Electronic Learning
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Abdellatif, Mohamed Sayed; Abdul-Gawad, Mervat Azmy Zaki – Cypriot Journal of Educational Sciences, 2021
Psychological barriers are one of the most common problems facing individuals nowadays due to everyday life pressures. The current research aimed at identifying the extent to which psychological barriers contribute to predicting the perceived cognitive load of blackboard e-learning management system users. The research sample comprised (240) male…
Descriptors: Psychological Patterns, Barriers, Cognitive Processes, Difficulty Level
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Cheng, Yu-Ping; Cheng, Shu-Chen; Huang, Yueh-Min – International Review of Research in Open and Distributed Learning, 2022
Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these resources contain massive amounts of information, making it difficult for learners to identify Web articles that refer to computer science knowledge. This study…
Descriptors: Internet, Online Searching, Information Retrieval, Artificial Intelligence
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