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Roee Peretz; Natali Levi-Soskin; Dov Dori; Yehudit Judy Dori – IEEE Transactions on Education, 2024
Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…
Descriptors: Models, Engineering Education, Thinking Skills, Systems Approach
Hongwei Yang; Müslim Alanoglu; Songül Karabatak; Jian Su; Kelly Bradley – International Review of Research in Open and Distributed Learning, 2025
This study developed and validated the Turkish version of the Self-Directed Online Learning Scale (SDOLS-T) for assessing students' perceptions of their self-directed learning (SDL) ability in an online environment. Specifically, this study conducted in two stages multiple categorical confirmatory factor analyses factoring in the ordered…
Descriptors: Foreign Countries, Factor Analysis, Translation, Student Attitudes
Jones, Elizabeth V.; Evans, Michael; Shepler, Carrie – Journal of College Science Teaching, 2023
In response to remote learning needs during the COVID-19 pandemic, introductory lecture and laboratory courses typically delivered fully in person were offered in a completely virtual format for the first time. Introductory laboratory courses are pivotal foundations for future discipline-specific learning and serve as prerequisites for a myriad of…
Descriptors: Prerequisites, Electronic Learning, Science Experiments, COVID-19
Jang, Yeonju; Choi, Seongyune; Kim, Seonghun; Kim, Hyeoncheol – Educational Technology & Society, 2023
Given the importance of digital technology in daily life, computational thinking (CT) has become a necessary skill for everyone, not just for computer scientists. For CT development, students need to receive appropriate social learning support. However, instructors find it difficult to provide such support to many students in online courses. This…
Descriptors: Social Networks, Electronic Learning, Mentors, Skill Development
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
Grubišic, Ani; Žitko, Branko; Stankov, Slavomir – Journal of Technology and Science Education, 2020
In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is…
Descriptors: Electronic Learning, Educational Technology, Models, Intelligent Tutoring Systems
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
Baker, David Mc. A.; Unni, Ramaprasad; Kerr-Sims, Shantia; Marquis, Gerald – International Journal for Business Education, 2021
This paper presents the results of a one-year study of undergraduate business students' preference and level of satisfaction with online instruction at one university. A questionnaire was voluntarily completed by 305 undergraduate business students during the 2019-2020 academic year. Multiple regression analysis revealed that prior experience with…
Descriptors: Student Satisfaction, Preferences, Undergraduate Students, African American Students
Imlawi, Jehad – Education and Information Technologies, 2021
Students' engagement in E-learning applications is considered an important factor for learning. There is an evidence in the literature on the influence of students' engagement on their learning outcomes and achievement. Sound utilization in E-learning applications is expected to influence the students' engagement in such applications. However,…
Descriptors: Electronic Learning, Acoustics, Learner Engagement, Comparative Analysis
Lee, Sang Joon; Nuatomue, Jeremiah N. – International Journal of Distance Education Technologies, 2021
One of the major concerns about online learning has been the low level of student satisfaction and retention rates. Using the community of inquiry (CoI) framework, this study examined course delivery modes and students' perceived ratings of course difficulty in online and face-to-face sections of a technology-intensive course and how the delivery…
Descriptors: Student Satisfaction, Undergraduate Students, Difficulty Level, Synchronous Communication
Bayyat, Manal; Abu Muaili, Zainab Helmy; Aldabbas, Lujayn – Turkish Online Journal of Distance Education, 2022
This study aims to investigate: (1) the construct validity of the "Blended Learners' Online Component Challenges" BLOCC scale; (2) the internal reliability of the scale; and (3) the differences between blended learners' online component challenges according to different socio-demographic variables for Sport Science students. The sample…
Descriptors: Electronic Learning, Blended Learning, Measures (Individuals), Construct Validity
Kaushik, Mohit Kant; Agrawal, Devika – International Journal of Educational Management, 2021
Purpose: The study has identified the factors among students that can enable or inhibit students from using online learning platforms. Students enrolled at different levels, diversified streams and separate courses were surveyed for the investigation. The study also highlights the significant hitches faced in using or adopting e-learning.…
Descriptors: Learning Readiness, Electronic Learning, Technology Integration, Adoption (Ideas)
Kovacevic, Ivana; Labrovic, Jelena Andelkovic; Petrovic, Nikola; Kužet, Ivana – Education Sciences, 2021
In order not to lose continuity in education during COVID-19, universities mainly found the solution in Emergency remote teaching. Student satisfaction with online learning experience is one of the measures of the excellence of learning practice. Our goal was to test the hypothesis that the predictors of students' satisfaction with emergency…
Descriptors: Predictor Variables, Emergency Programs, COVID-19, Pandemics
Landrum, Brittany – Online Learning, 2020
As online class offerings continue to proliferate and more students take at least one online class in college, more research is needed to explore factors that impact students' perceptions of their online classes. Past research has found a positive relationship between students' computer self-efficacy and their satisfaction with online learning,…
Descriptors: Electronic Learning, Online Courses, Self Efficacy, Self Management
Alshaboul, Yousef; Hamaidi, Diala; Arouri, Yousef; Alshaboul, Asia – Journal of Education and e-Learning Research, 2021
The COVID-19 pandemic has forced a worldwide revolution in our understanding of how to conduct education. International lockdowns were the catalyst for a global shift from traditional face-to-face learning to distance learning. This comparative study utilized a mixed method approach to investigate the readiness of Higher Education instructors and…
Descriptors: COVID-19, Pandemics, Distance Education, Online Courses