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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
Wang, Jingyun; Shimada, Atsushi; Oi, Misato; Ogata, Hiroaki; Tabata, Yoshiyuki – Interactive Learning Environments, 2023
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated…
Descriptors: Visualization, Electronic Publishing, Books, Electronic Learning
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
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
Zhang, Lishan; Pan, Mengqi; Yu, Shengquan; Chen, Ling; Zhang, Jing – Interactive Learning Environments, 2023
This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of the system by running an experiment with 64 experienced mathematics teachers and 810 students in Grade 7. The experiment lasted for 50 days. A comprehensive evaluation was performed using students' academic performance…
Descriptors: Mathematics Teachers, Grade 7, Middle School Students, Middle School Teachers
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
Kitiya Promsron; Prachyanun Nilsook; Pallop Piriyasurawong – International Education Studies, 2025
The COVID-19 pandemic forced school closures globally, leading to significant learning regression in academic performance, skills, and ethical development. This study aims to: 1) synthesize and develop an adaptive micro-learning model based on Dhamma principles using mixed reality (MR), 2) compare pre- and post-test results, and 3) assess the…
Descriptors: Learning Activities, Electronic Learning, Learning Modules, Citizenship Education
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
Alisionna Iannacchione; Erin Ottmar; Vy Ngo; Craig A. Mason; Jenny Yun-Chen Chan; Hannah Smith; Kathryn C. Drzewiecki; Stacy T. Shaw – Grantee Submission, 2022
Prior research has shown negative relations between math anxiety and math performance. We posit that one potential pathway through which math anxiety influences performance of math equivalencies is through help seeking behavior during learning. Here, we examine whether middle school students' behavior, specifically the frequency of hint requests,…
Descriptors: Middle School Students, Mathematics Anxiety, Prior Learning, Prompting
Alsadoon, Elham – Education and Information Technologies, 2020
Researchers emphasize that prior knowledge is one of the important factors that influence learning. This study discusses the design and implementation of adapting an e-course to students' prior knowledge using the Learning Management System (LMS). It aims to investigate the impact of such adaptive e-course to the learner's prior knowledge through…
Descriptors: Online Courses, Electronic Learning, Academic Achievement, Prior Learning
Dai, Yan; Lin, Xi; Su, Shu; Li, Li – International Journal of Psychology and Educational Studies, 2021
In the spring semester of 2020, all Chinese higher education institutions delivered courses online across the nation in response to the COVID-19. This study explores Chinese college students' self-regulated learning, academic entitlement, and academic achievement during the transitioning from face-to-face to online learning environments during…
Descriptors: Electronic Learning, Online Courses, COVID-19, Pandemics
Förster, Manuel; Maur, Andreas; Weiser, Constantin – AERA Online Paper Repository, 2018
Despite the advantages of technological tools in large statistics lectures, results of research on their actual value are inconsistent and only point to minimal effects on academic achievement. To fill this gap, in this study, participation in optional electronic quizzes and its effects on exam grades in large statistics classes depending on…
Descriptors: Gender Differences, Prior Learning, Tests, Student Participation
Gyllen, J.; Stahovich, T.; Mayer, R. – Journal of Computer Assisted Learning, 2018
Time on task has been recognized as an important variable in academic learning, but self-report measures of study time are problematic. Therefore, this study employs an automated system for recording time spent reading a course textbook. College students in an introductory engineering course accessed their textbook online. The book contained pages…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Electronic Publishing
Salvo, Susan G.; Shelton, Kaye; Welch, Brett – Online Learning, 2019
Online education is expanding within higher education. However, attrition rates for African American males enrolled in higher education in general, and in online courses specifically, is on the rise. Because the future of our nation depends on how well our educational institutions develop, nurture, and deploy talent, this study identified factors…
Descriptors: Undergraduate Students, African American Students, Males, Academic Achievement
Kinsella, Gemma K.; Mahon, Catherine; Lillis, Seamus – Active Learning in Higher Education, 2017
The disadvantage to students of beginning a module with no prior knowledge or inaccurate knowledge is well documented. For learners, the development of the necessary prior knowledge to facilitate their learning is essential. The use of screencasts, whether prior to or during class, is becoming more widespread. There is a need, however, to better…
Descriptors: Learner Engagement, Large Group Instruction, Prior Learning, Technology Uses in Education
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