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Meysam Muhammadpour; Abdorreza Tahriri; Seyyed Ayatollah Razmjoo; Jaleh Hassaskhah – Journal of Computer Assisted Learning, 2025
Background: Recent years have witnessed a surge of technology use and online learning environments, especially during the post-COVID era. The widespread use of technology has sparked a sudden transition from conventional face-to-face learning to online digital-based learning platforms, such as Adobe Connect. Although EFL teachers have implemented…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Language Attitudes
Zheng, Yafeng; Gao, Zhanghao; Shen, Jun; Zhai, Xuesong – IEEE Transactions on Learning Technologies, 2023
A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…
Descriptors: Semantics, Classification, Electronic Learning, Computer Mediated Communication
Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
Trifirò, Catherine Elizabeth Vucetic; Laing, Gregory Kenneth – e-Journal of Business Education and Scholarship of Teaching, 2021
Purpose: The purpose of this paper is to examine the various models concerned with identifying learning styles and cognitive traits of students as a means to adapt teaching methods. With attention to the applicability of the models to on-line teaching strategies and requirements. Design/Method/Approach: The approach adopted in this paper is one of…
Descriptors: Cognitive Style, Electronic Learning, Integrated Learning Systems, Teaching Methods
Ting Jii Toh; Zaidatun Tasir – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to analyze the cognitive load experienced by secondary school students in Biology within m-learning environments and its impact on learning performance. Background: Cognitive load has become a critical issue that schools need to address to ensure students can excel in their learning without being overwhelmed. While…
Descriptors: Handheld Devices, Electronic Learning, Educational Technology, Cognitive Processes
Talandron-Felipe, May Marie P.; Rodrigo, Ma. Mercedes T. – Research and Practice in Technology Enhanced Learning, 2021
The incubation effect (IE) is a problem-solving phenomenon composed of three phases: pre-incubation where one fails to solve a problem; incubation, a momentary break where time is spent away from the unsolved problem; and post-incubation where the unsolved problem is revisited and solved. Literature on IE was limited to experiments involving…
Descriptors: Problem Solving, Physics, Educational Games, Learning Processes
Diningrat, Syaiputra Wahyuda Meisa; Setyosari, Punaji; Ulfa, Saida; Widiati, Utami – Journal of New Approaches in Educational Research, 2023
The flipped classroom model is an innovative and increasingly popular pedagogical approach in higher education. However, despite its increasing popularity, few studies have elaborated on specific strategies to implement a flipped classroom model. This study has as its purpose to investigate the effect of an extended flipped classroom model for…
Descriptors: Flipped Classroom, Instructional Effectiveness, Electronic Learning, Distance Education
Shafee Mohammed – ProQuest LLC, 2020
Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…
Descriptors: Prediction, Short Term Memory, Blended Learning, Student Behavior
Çebi, Ayça; Güyer, Tolga – Interactive Learning Environments, 2022
The studies in the literature show that all learners may not benefit from hypermedia learning systems in the same way as a result of their individual differences. Learners with different individual characteristic may display different navigational pattern and they may encounter different problems in the hypermedia learning system. The aim of the…
Descriptors: Modeling (Psychology), Navigation (Information Systems), Electronic Learning, Hypermedia
Goffe, William L. – Journal of Economic Education, 2021
Chew and Cerbin (2021) offer a fruitful way of thinking deeply about teaching economics. In this article, the author offers several ideas on how to offload parts of three of the cognitive challenges they identify to an online module that any instructor could assign to their students. Ideally, this module would be described in an economics…
Descriptors: Metacognition, Self Management, Learning Strategies, Short Term Memory
Gordon Matthew; Koos De Villiers – Journal of Educational Multimedia and Hypermedia, 2022
COVID-19 has forced many higher education institutions to move from face-to-face teaching and learning to an e-learning environment. Many institutions had already started to implement blended learning strategies, but lecturers with limited knowledge of multimedia learning could not keep up with the pace. Multimedia learning can enhance learning,…
Descriptors: Learning Management Systems, Electronic Learning, Multimedia Instruction, COVID-19
Angelica Ronconi; Lucia Mason; Lucia Manzione; Anne Schüler – Journal of Computer Assisted Learning, 2025
Background: During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes. Objectives: This study investigated the effects of on-screen distractions, as…
Descriptors: Eye Movements, Electronic Learning, Computer Uses in Education, Reading
Jonathan Marrujo; Federico Martín González; Magalí Martínez; Roberto Muiños; Débora I. Burin – Journal of Educators Online, 2023
This study analyzed the contribution of spontaneous note-taking when undergraduates studied expository texts and videos. The study examined whether spontaneous note-taking had any effect on comprehension and if it was different for digital texts, presentation videos, or videos with decorative, irrelevant images. In addition, it explored whether…
Descriptors: Foreign Countries, College Students, Notetaking, Electronic Learning
Cavanagh, Thomas M.; Kiersch, Christa – Educational Technology Research and Development, 2023
Principles derived from the Cognitive Theory of Multimedia Learning (CTML; Mayer in: Multimedia learning, Cambridge University Press, Cambridge, 2021) provide valuable guidance for enlisting commonly-available technologies to create effective online multimedia lessons. Specifically, CTML can guide instructional designers on the use of…
Descriptors: Technology Uses in Education, Electronic Learning, Multimedia Instruction, Epistemology
González, Federico Martín; Saux, Gastón; Burin, Debora – Australasian Journal of Educational Technology, 2019
Two studies sought to replicate and extend the seductive effect of decorative pictures in expository text comprehension to an e-learning environment. In the first study, undergraduate students read and answered questions about two texts, with and without decorative, irrelevant images, in an e-learning course. The presence of decorative images had…
Descriptors: Pictorial Stimuli, Electronic Learning, Attention, Inhibition

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