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Spezzo, Vincent M.; Rudchenko, Tatiana – Online Journal of Distance Learning Administration, 2022
The purpose of this study was to survey undergraduate students of a management statistics course about their perceptions on the usefulness of a series of instructional videos with embedded quiz questions created by their instructor to provide students with knowledge of Excel functions needed to understand the course materials and complete course…
Descriptors: Interaction, Video Technology, Student Attitudes, Undergraduate Students
Sahin, Ferhan; Dogan, Ezgi; Okur, Muhammet Recep; Sahin, Yusuf Levent – Education and Information Technologies, 2022
Information on the emotional outcomes of e-learning system use and emotional aspects of user experience in higher education is quite limited. Accordingly, the aim of the study is to identify the factors that influence university students' intention to continue using e-learning systems and to examine the emotional outcomes of the continuance…
Descriptors: Psychological Patterns, Outcomes of Education, Electronic Learning, Distance Education
Keshavarz, Mohsen; Mirmoghtadaie, Zohrehsadat; Nayyeri, Somayyeh – International Review of Research in Open and Distributed Learning, 2022
Effective classroom management methods are well known, but effective ways of managing classes of beginner teachers remain elusive. Classroom management refers to the wide range of skills and techniques that teachers use to ensure that classes are conducted without destructive student behavior. The present study is applied nonexperimental research.…
Descriptors: Test Construction, Test Validity, Virtual Classrooms, Classroom Techniques
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
Borden, Jeff D., Ed. – IGI Global, 2022
For many years, there has been a quest to discover the best teaching and learning methods in order to strengthen the classroom and the mind. Researchers now know more than ever before about the brain's impact on learning, historical triggers that lead to deep learning, and how to scale education with technology. Yet much of what is known is…
Descriptors: Educational Practices, Electronic Learning, Educational Technology, Instructional Design
Bulathwela, Sahan; Verma, Meghana; Pérez-Ortiz, María; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2022
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…
Descriptors: Video Technology, Lecture Method, Data Analysis, Prediction
Hur, Paul; Lee, HaeJin; Bhat, Suma; Bosch, Nigel – International Educational Data Mining Society, 2022
Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…
Descriptors: Artificial Intelligence, Individualized Instruction, College Mathematics, Statistics
Gazzara, Christopher T. – ProQuest LLC, 2022
Limited research examines writing tutors' self-efficacy, or how tutors believe "in their abilities to produce given attainments" (Bandura, 2006, p. 307). This qualitative constant comparative study explored self-efficacy's impact on tutoring strategies writing tutors use in recorded digital tutoring conferences with community college…
Descriptors: Writing (Composition), Tutors, Self Efficacy, Scaffolding (Teaching Technique)
Prihar, Ethan; Haim, Aaron; Sales, Adam; Heffernan, Neil – Grantee Submission, 2022
Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Electronic Learning
Olipas, Cris Norman P.; Luciano, Ruth G.; Leona, Rodibelle F.; Cochanco, Alexander S.; Bantug, Emilsa T. – Online Submission, 2022
Over the years, globalization has benefitted education in many aspects. This study aims to understand the students' perceptions and expectations of virtual faculty exchange programs conducted in higher learning institutions from the Philippines and Indonesia. This study utilized descriptive research to describe the undergraduate students'…
Descriptors: Student Attitudes, Expectation, Teacher Exchange Programs, Electronic Learning
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
E. Thomas Colboth – ProQuest LLC, 2022
The focus of this study centered around superintendent's responses to the emergency remote learning period caused by the COVID-19 global pandemic. Forms of remote learning have been around since the 1700s, albeit, in many different forms. Technological advances of the 21st Century have significantly increased the ability of schools to provide…
Descriptors: Superintendents, Distance Education, Electronic Learning, Emergency Programs
Eleanor Rummer – ProQuest LLC, 2022
Online educational products have consistently increased in availability since the advent of the internet and the COVID-19 pandemic of 2020-2022. Consistent standards and ways to measure the quality of online products have not emerged with the same speed, and there are few comprehensive ways to measure the quality of education that is provided in…
Descriptors: Electronic Learning, Educational Technology, Educational Quality, Online Courses
Brian S. Ward – ProQuest LLC, 2022
The purpose of this study was to explore the unique lived experiences of four middle school science teachers from North Carolina and South Carolina during and following the transition from in-person to online instruction due to the COVID-19 pandemic. Four predominant themes were identified from individual, semi-structured interviews of the…
Descriptors: Middle School Teachers, Science Teachers, Teacher Attitudes, Electronic Learning

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