NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
G I Bill1
What Works Clearinghouse Rating
Showing 1 to 15 of 126 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Bodong Chen; Oleksandra Poquet – Australasian Journal of Educational Technology, 2023
Online discussions are widely adopted in higher education to promote student interaction. However, prior research on online discussions falls short to estimate the effect of multiple factors collectively shape student interaction in online discussion activities. In this study, we applied a dynamic network analysis approach named relational event…
Descriptors: Computer Mediated Communication, Discussion, Electronic Learning, Higher Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Frederike Kossack; Eike Uttich; Beate Bender – International Association for Development of the Information Society, 2023
In Engineering Design education, huge numbers of students are a challenge in university teaching, especially since the students have an initially heterogeneous level of technical knowledge, which influences their acquisition of competences. In frontal classroom lectures, individual deficits can hardly be addressed and in self-study phases,…
Descriptors: Engineering Education, Heterogeneous Grouping, College Students, Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Pettigrew, Justin E.; Howes, Pauline A. – American Journal of Distance Education, 2023
This study examined university students' response to the sudden change from face-to-face to emergency remote education (ERE) and the impact of the COVID-19 pandemic on their educational experience in spring 2020 through the lens of self-determination and adaptability. Results of a survey of 3,747 college students showed an overwhelming majority…
Descriptors: COVID-19, Pandemics, Student Attitudes, Educational Change
Peer reviewed Peer reviewed
Direct linkDirect link
Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
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
Rachel Worsham; Elise Swanson; Christopher Norio Avery – Annenberg Institute for School Reform at Brown University, 2025
Since the COVID-19 pandemic, distance education has rapidly expanded, transforming the landscape of community colleges. This paper explores how different online learning modalities impact student success in the Los Angeles Community College District (LACCD), one of the largest and most diverse systems in the United States. With the purpose of…
Descriptors: Distance Education, COVID-19, Pandemics, Investment
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Abuhassna, Hassan; Busalim, Abdelsalam H.; Mamman, Babakura; Yahaya, Noraffandy; Zakaria, Megat Aman Zahiri Megat; Al-Maatouk, Qusay; Awae, Fareed – Contemporary Educational Technology, 2022
Background: E-learning is increasingly becoming a preference in higher education institutions worldwide; this is intended to assist educational institutions in achieving objectives to meet the proportion of individuals with their educational opportunities. Nevertheless, instructors and students frequently have concerns with their capacity to…
Descriptors: Student Experience, Electronic Learning, Course Organization, Prior Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Yildirim, Denizer; Gülbahar, Yasemin – Technology, Knowledge and Learning, 2022
This study aims to determine indicators that affect students' final performance in an online learning environment using predictive learning analytics in an ICT course and Turkey context. The study takes place within a large state university in an online computer literacy course (14 weeks in one semester) delivered to freshmen students (n = 1209).…
Descriptors: Electronic Learning, Foreign Countries, Computer Literacy, College Freshmen
Peer reviewed Peer reviewed
Direct linkDirect link
Guppy, Neil; Boud, David; Heap, Tania; Verpoorten, Dominique; Matzat, Uwe; Tai, Joanna; Lutze-Mann, Louise; Roth, Mary; Polly, Patsie; Burgess, Jamie-Lee; Agapito, Jenilyn; Bartolic, Silvia – Higher Education: The International Journal of Higher Education Research, 2022
Public health edicts necessitated by COVID-19 prompted a rapid pivot to remote online teaching and learning. Two major consequences followed: households became students' main learning space, and technology became the sole medium of instructional delivery. We use the ideas of "digital disconnect" and "digital divide" to examine,…
Descriptors: COVID-19, Pandemics, Public Health, School Closing
Peer reviewed Peer reviewed
Direct linkDirect link
Huang, Qingqing; Lee, Vivian W. Y. – International Journal of Information and Learning Technology, 2022
Purpose: While blended learning has been proved to be successful in learning outcomes, the landscape of blended learning has changed under coronavirus disease (COVID-19) pandemic. Hence, the present study aims to explore first-year university students' perceptions of wholly blended learning during the pandemic, through the three constructs in the…
Descriptors: College Freshmen, Blended Learning, COVID-19, Pandemics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Soraya García-Sánchez – Computer Assisted Language Learning, 2024
This research explores intralinguistic communicative mediation in an English for Specific Purposes (ESP) online journal writing to enhance professional development through the co-construction of meaning. It accentuates research gaps specific to learning English in the field of law under the approach of collaborative Computer Assisted Language…
Descriptors: English for Special Purposes, Foreign Countries, Law Students, Graduate Students
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9