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Liu, Lingyan; Zhao, Bo; Rao, Yiqiang – International Journal of Information and Communication Technology Education, 2022
A lot of studies have shown that there is an "inverse U-curve" relationship between learners' grades and cognitive load. Learners' grades are closely related to their learning behavior characteristics on online learning. Is there any relationship between online learners' behavior characteristics and cognitive load? Based on this, the…
Descriptors: Cognitive Processes, Difficulty Level, Learning Analytics, Electronic Learning
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
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
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
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
Widyanti, Ari; Hasudungan, Syalom; Park, Jaehyun – Knowledge Management & E-Learning, 2020
e-Learning has been widely used in educational settings especially in developing countries like Indonesia. The purpose of this study was to investigate e-learning readiness among Indonesian university students and to compare students' perceptions of their workload (including mental demand, physical demand, temporal demand, performance, effort,…
Descriptors: Foreign Countries, Learning Readiness, Electronic Learning, College Students
Ho, Nguyen Thi Thao; Sivapalan, Subarna; Pham, Hiep Hung; Nguyen, Lan Thi Mai; Pham, Anh Thi Van; Dinh, Hung Viet – Interactive Technology and Smart Education, 2021
Purpose: By using a technology acceptance model (TAM) on survey results collected from two member schools of a Vietnamese educational institution, this study aims to uncover the key factors that affect students' acceptance of e-learning during the COVID-19 period. Design/methodology/approach: A bilingual questionnaire in English and Vietnamese was…
Descriptors: Foreign Countries, COVID-19, Pandemics, Educational Technology
Teoh, Ai Ping; Tan, Yen Shi – International Review of Research in Open and Distributed Learning, 2020
This study aims to understand factors that affect the behavioural intention of manufacturing engineers in Malaysia to use e-learning in the workplace. Two hundred usable online questionnaires were collected from respondents who were engineers in Malaysian manufacturing companies. The data were analyzed using SPSS and Smart PLS version 3.2.6.…
Descriptors: Foreign Countries, Manufacturing Industry, Behavior, Intention
Turkmen, Gamze; Caner, Sonay – Turkish Online Journal of Distance Education, 2020
This study aims to provide a comprehensive and in-depth investigation of the debugging process in programming teaching in terms of cognitive and metacognitive aspects, based on programming students who demonstrate low, medium, and high programming performance and to propose instructional strategies for scaffolding novice learners in an effective…
Descriptors: Programming, Novices, Electronic Learning, Troubleshooting
Andrews, Sally; Veldre, Aaron – Scientific Studies of Reading, 2021
This study used wrap-up effects on eye movements to assess the relationship between online reading behavior and comprehension. Participants, assessed on measures of reading, vocabulary, and spelling, read short passages that manipulated whether a syntactic boundary was "unmarked" by punctuation, "weakly marked" by a comma, or…
Descriptors: Sentences, Punctuation, Cues, Reading Comprehension
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
Minematsu, Tsubasa – International Association for Development of the Information Society, 2019
In this study, we investigated which section of a page was difficult for students to read, based on eye movement data and subjective impressions of the page's difficulty, with the aim of helping teachers revise teaching materials. It is problematic to manually model relationships between eye movements and subjective impressions of the page's…
Descriptors: Eye Movements, Difficulty Level, Reading Processes, Instructional Materials
Kurt, Adile Askim; Emiroglu, Bülent Gürsel – Malaysian Online Journal of Educational Technology, 2018
The objective of the present study was to examine students' online information searching strategies, their cognitive absorption levels and the information pollution levels on the Internet based on different variables and to determine the correlation between these variables. The study was designed with the survey model, the study group included 198…
Descriptors: Online Searching, Information Seeking, Search Strategies, Internet
Castellano, Soledad; Arnedillo-Sánchez, Inmaculada – International Association for Development of the Information Society, 2016
This paper presents a discussion on potential conflicts originated by sensorimotor distractions when learning with mobile phones on-the-move. While research in mobile learning points to the possibility of everywhere, all the time learning; research in the area suggests that tasks performed while on-the-move predominantly require low cognitive…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Perceptual Motor Learning
Costley, Jamie; Lange, Christopher – Electronic Journal of e-Learning, 2017
Instructional design is an important aspect of the learning experience within formal online courses. One way in which online instructional design may benefit students is by increasing their future behavioral intention to use educational materials. This is important because research has revealed that students' use of educational resources is…
Descriptors: Educational Technology, Electronic Learning, Difficulty Level, Cognitive Processes
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