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Tarapore, Eric; Shaffer, Justin Franklin; Atwood, Scott – Journal of College Science Teaching, 2022
Online engagement, or the use of online supplementary instruction and assessment, in high-structure courses is gaining popularity as a useful tool to facilitate instruction, assignments, and examinations. High-structure courses, which include regular pre- and post-class assessments and significant active learning during class, have been shown to…
Descriptors: Electronic Learning, Undergraduate Students, Molecular Biology, Cytology
Popa Berce, Carmen Alina; Heciu, Iulia; Bochis, Laura – Acta Didactica Napocensia, 2022
The aim of the study is to highlight the efficiency of a program of activities implemented to develop the level of learning metacognitive awareness of students with low academic performance. The study was conducted on a total of 28 students from the Faculty of Social Humanistic Sciences, University of Oradea, Romania, equally divided into two…
Descriptors: Metacognition, Low Achievement, Academic Achievement, Electronic Learning
Rokusek, Blase; Moore, Emilee; Waples, Christopher; Steele, Janet – HAPS Educator, 2022
Supplemental instruction (SI) has been shown to be effective in increasing student success in a wide variety of disciplines. Our study investigated the impact of the number of SI sessions attended on student success on exams and the effectiveness of remote SI compared to face-to-face (FTF) SI. Data were gathered for nearly 1,200 students enrolled…
Descriptors: Supplementary Education, Tests, Academic Achievement, Anatomy
Zhu, Yonghai; Xu, Shengmei; Wang, Wenguang; Zhang, Li; Liu, Di; Liu, Ziling; Xu, Yingying – Education and Information Technologies, 2022
Learning performance is an important indicator of online learning, is related to the quality of online education and the performance of students. Previous studies have found that learners' learning performance is related to learning motivation and academic emotion, but the role of non-intellectual factors such as academic emotion has received less…
Descriptors: Student Motivation, Academic Achievement, Positive Attitudes, Psychological Patterns
Woods, David – Journal of Educational Technology Systems, 2022
Providing feedback on student work is a key part of the teaching process. Ideally, students use the provided feedback to learn and improve future work. In the age of technology-mediated learning, it is essential to study how technology affects the feedback process. This work uses data captured by a Learning Management System (LMS) to measure…
Descriptors: Feedback (Response), Technology Uses in Education, Electronic Learning, Integrated Learning Systems
Jin, Xinquan; Jiang, Qiang; Xiong, Weiyan; Pan, Xingzhu; Zhao, Wei – Educational Technology & Society, 2022
Creativity has been identified as a critical educational goal and an essential 21st-century skill, which can be captured through learning capabilities, thinking skills, and academic achievement. Although the relationship between creativity performance and self-directed learning (SDL) was theoretically researched, few studies have thoroughly…
Descriptors: Creativity, College Students, Independent Study, Electronic Learning
Zhou, Yingge; Ye, Xindong; Liu, Yujiao – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to build a personalized learning intervention system, which can support students' personalized learning, improve teachers' teaching efficiency and students' learning effect. Design/methodology/approach: The research proposes a personalized learning intervention method based on a collaborative filtering…
Descriptors: Individualized Instruction, Intervention, Academic Achievement, Junior High School Students
Kuznekoff, Jeffrey H.; Munz, Stevie M. – Higher Learning Research Communications, 2022
Objectives: This study examines how the transition to remote delivery during the spring of 2020 affected student learning in the basic communication course. Methods: Participants in three different course delivery modes (face-to-face, online, and live interactive) were enrolled in a public speaking course with standardized adaptive reading…
Descriptors: COVID-19, Pandemics, Electronic Learning, Teaching Methods
Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
Freyens, Benoit Pierre; Gong, Xiaodong – Australasian Journal of Educational Technology, 2022
Whether the use of lecture capture technology helps improve student performance is a contested area of research. In most cases, the answer relies on the degree to which online recordings supplement or substitute for live or live-streamed lecture delivery. We present a parameter, the technical rate of substitution, which captures this information…
Descriptors: Lecture Method, Video Technology, Instructional Effectiveness, Electronic Learning
Kosiba, John Paul Basewe; Odoom, Raphael; Boateng, Henry; Twum, Kojo Kakra; Abdul-Hamid, Ibn Kailan – Journal of Further and Higher Education, 2022
Given that the educational sector was particularly hard hit in most countries around the world during the COVID-19 pandemic, the study employs an extended UTAUT2 to investigate student use and satisfaction with e-learning in a developing country setting. We employed partial least squares structural equation modelling (PLS-SEM) on 616 data…
Descriptors: Student Satisfaction, Electronic Learning, COVID-19, Pandemics
Kularatne, W. D.; Dissawa, Lasanthika H.; Ekanayake, T. M. S. S. K.; Ekanayake, Janaka B. – Online Submission, 2022
The students following Engineering disciplines should acquire a conceptual understanding of the concepts and the processors and attitudes. There are two recognizable learning environments for students: classroom and laboratory environments. With the COVID-19 Pandemic, both environments merged to online environments, impacting students' processes…
Descriptors: Experiential Learning, COVID-19, Pandemics, Electronic Learning
Mangarin, Jowenie A. – Online Submission, 2023
This study delved into the realm of emotional presence and its potential impact on students' academic performance within collaborative online learning environments. While emotions were recognized as influential factors in the learning process, the specific relationship between emotional presence and cognitive outcomes remained elusive,…
Descriptors: High School Students, Electronic Learning, Emotional Experience, Psychological Patterns
Huang, Yating; Wang, Siyao – Higher Education: The International Journal of Higher Education Research, 2023
COVID-19 has caused the overnight migration of learning and teaching to online platforms and has significantly impacted students' learning opportunities and experiences worldwide. The results of emergency online learning have heavily relied on students' abilities to exercise agency in maintaining active motivation and engagement with online…
Descriptors: Foreign Countries, Graduate Students, Student Motivation, Learner Engagement
Gutierrez-Aguilar, Olger; Talavera-Mendoza, Fabiola; Chicaña-Huanca, Sandra; Cano-Villafuerte, Sharmila; Sotillo-Velásquez, José Antonio – Journal of Technology and Science Education, 2023
The aim of this research has enabled us to establish the influential relationship between factors associated with e-learning, such as individual impact and depression, and the mediating role in psychological distress and computer anxiety related to the fear of failing an academic year in times of COVID-19 in university students at two universities…
Descriptors: Electronic Learning, Academic Failure, Fear, COVID-19