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Showing 1 to 15 of 101 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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Xin Li; Wanqing Hu; Yanyan Li – Educational Technology Research and Development, 2025
Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…
Descriptors: Artificial Intelligence, Scripts, Learner Engagement, Electronic Learning
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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
Mark Littler – ProQuest LLC, 2024
The dynamics of higher education have changed as a result of online learning. However, it can be challenging for teachers to effectively engage students online. Furthermore, limited research about the relationship between presence and online student engagement is a social problem that impacts the quality of online nursing education. The purpose of…
Descriptors: Electronic Learning, Learner Engagement, Predictor Variables, Teacher Student Relationship
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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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Xinhua Wang; Yue Zheng; Lei Wu – International Journal of Distance Education Technologies, 2024
The collaborative learning approach as a universal teaching strategy is widely used in online learning. It is proven that the group leader has an important impact on group collaborative knowledge construction in online collaborative learning (OCL). However, limited research is available on how leadership styles influence a group. Universal…
Descriptors: Leadership Styles, Electronic Learning, Cooperation, Learner Engagement
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Marquès Puig, Joan Manuel; Daradoumis, Thanasis; Arguedas, Marta; Calvet Liñan, Laura – Journal of Computer Assisted Learning, 2022
Background: Recent research in online settings reports that supporting self-regulated learning (SRL) strategy use could lead to greater online academic success. A growing number of studies have started to investigate SRL supports in online environments recently, which indicates a great interest in this matter. Though several systems for automatic…
Descriptors: Cognitive Processes, Metacognition, Critical Thinking, Electronic Learning
Shelby Lynn Smith – ProQuest LLC, 2023
The current set of studies examined whether two common appraisals that students make during learning (whether they have control over their learning and whether they place value into learning the material) give rise to common types of thoughts students also experience (mind wandering, personal connections, and freely-moving thought). Study One…
Descriptors: Academic Achievement, Cognitive Processes, College Students, Lecture Method
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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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Katrina E. Forbes-McKay; Pauline A. M. Bremner; Pamela Johnston; Carol Air – Journal of Applied Research in Higher Education, 2025
Purpose: This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Design/methodology/approach: Three hundred and eighty-six university students recruited via opportunistic…
Descriptors: Independent Study, Student Attitudes, Student Motivation, Learning Strategies
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Yuyu Dai; Xuebu Hu – Education and Information Technologies, 2025
Online learning as an emerging learning method has a significant impact on education, which cannot be ignored. This article explores the relationship between engagement (including cognition, behavior and emotion), motivation, environment, and college students' concentration in online learning during the COVID-19 pandemic. A total of 889 college…
Descriptors: Foreign Countries, College Students, Attention, Electronic Learning
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Chevy van Dorresteijn; Monique Meij; Natalie Pareja Roblin; Frank Cornelissen; Joke Voogt; Monique Volman – Pedagogies: An International Journal, 2024
This study used the Community of Inquiry framework to examine how university instructors designed, facilitated, and supported social and cognitive processes in online courses, and how instructors and students experienced these processes. In early 2021, 25 online focus groups were organized with instructors (n = 52) and students (n = 44) from all…
Descriptors: Teaching Methods, Cognitive Processes, Interpersonal Competence, Electronic Learning
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Xiao-Rong Guo; Shao-Ying Gong; Si-Yang Liu; Jing Wang; Yan-Qing Wang; Xin Zhao – European Journal of Psychology of Education, 2025
Previous studies have pointed out that leisure motivational interference was an important factor affecting students' learning satisfaction. This study concentrates on three unexplored areas in the current literature on leisure motivational interference and learning satisfaction. Specifically, it is the first to (a) focus on the effects of digital…
Descriptors: Leisure Time, Student Motivation, College Students, Electronic Learning
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Muhammad Ayub Buzdar; Hamid Ikram – Online Learning, 2024
The effects of COVID-19 remained significant on university students' social and academic well-being. The pandemic raised various mental and psychological challenges for the students, and had the potential to deteriorate their academic engagement and performance in online learning environments. The emotion regulation theory hypothesizes that…
Descriptors: COVID-19, Pandemics, Stress Variables, Cognitive Processes
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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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