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Rawson, Rebecca; Okere, Uchechukwu; Tooth, Owen – International Review of Research in Open and Distributed Learning, 2022
Recent research in the field of virtual reality (VR) education is dominated by the application, experience, and effectiveness of high-immersive environments. However, high-immersive VR may not be accessible to all learners, with online distance learning students in particular unable to fully engage without being supplied with appropriate…
Descriptors: Computer Simulation, Technology Uses in Education, Electronic Learning, Environmental Education
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Beach, Pamela; Favret, Elena; Minuk, Alexandra; Martinussen, Rhonda – Journal of Educators Online, 2022
This study used a survey method to explore the perceptions of online professional development (PD) from a sample of Canadian teachers. Ninety-two practicing teachers completed an anonymous online survey between July and September 2020. Results were analyzed using both quantitative and qualitative methods. Findings highlight Canadian teachers'…
Descriptors: Foreign Countries, Elementary Secondary Education, Teachers, Faculty Development
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Pham, Lam Tra; Dau, Thoa Kim Thi – International Journal of Information and Learning Technology, 2022
Purpose: The article aims examine an integrated model of the technology acceptance model (TAM), the unified theory of acceptance and use of technology (UTAUT) and DeLone and McLean information systems (D&M IS) success model to determine the effects of online learning readiness (OLR) on learners' online learning system (OLS) usage and their…
Descriptors: Learning Readiness, Electronic Learning, Learning Management Systems, Foreign Countries
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Dolawattha, Dhammika Manjula; Premadasa, H. K. Salinda; Jayaweera, Prasad M. – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this study is to evaluate the sustainability of the proposed mobile learning framework for higher education. Most sustainability evaluation studies use quantitative and qualitative methods with statistical approaches. Sometimes, in previous studies, machine learning models were utilized conventionally.…
Descriptors: Sustainability, Higher Education, Artificial Intelligence, Electronic Learning
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Anwar, Rahmad Bustanul; Rahmawati, Dwi – Education Quarterly Reviews, 2022
The purpose of this study was to analyze the need to develop a teaching material needed in mathematics statistics lectures I. This study used a qualitative descriptive method oriented to the development of a product. The subjects of this study were fourth semester mathematics education students who were taking mathematics statistics course I and…
Descriptors: Needs Assessment, Mathematics Instruction, Material Development, Statistics Education
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Skar, Gustaf Bernhard Uno; Graham, Steve; Huebner, Alan – Journal of Educational Psychology, 2022
The coronavirus disease 2019 (COVID-19) pandemic and the sudden cancellation of in-class instruction for many students around the world presented an unprecedented disruption in children's education. As the COVID-19 pandemic took form, multiple concerns were raised about the potential negative impact on students' learning. The current study…
Descriptors: Achievement Gains, COVID-19, Pandemics, Distance Education
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Matsuo, Hiroki; Nooner, Aleise L.; Pearce, Amy R. – Statistics Education Research Journal, 2022
We examined students' initial and concluding attitudes toward statistics based on course delivery methods. Students enrolled in either traditional or online undergraduate statistics courses (N = 196) completed the Survey of Attitudes Toward Statistics-36. At the beginning of the semester, students in traditional courses felt better about the…
Descriptors: Student Attitudes, Statistics Education, In Person Learning, Electronic Learning
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Markouzis, Dimitrios; Baziakou, Aikaterini; Fesakis, Georgios; Dimitracopoulou, Angelique – International Journal of Mobile and Blended Learning, 2022
In recent years more and more people use their mobile phones daily for work or entertainment. The increasing use of mobile devices has led researchers to seek new ways of learning with their support, beyond the confines of formal education. The increasing computing power of mobile devices has contributed to the emergence of new, rapidly evolving…
Descriptors: Foreign Countries, Handheld Devices, Electronic Learning, Simulated Environment
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Kurz, Terri; Jayasuriya, Suren; Swisher, Kimberlee; Mativo, John; Pidaparti, Ramana; Robinson, Dawn T. – Journal of Interactive Learning Research, 2022
Artificial intelligence is impacting society on a very large scale and should be included in K-12 educational content in some capacity to provide meaningful STEM experiences. Computer vision (a field of research that heavily leverages artificial intelligence) was emphasized in professional development for in-service teachers. The teachers received…
Descriptors: Attitude Change, Teacher Attitudes, Artificial Intelligence, Electronic Learning
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Carvalho, Paulo F.; McLaughlin, Elizabeth A.; Koedinger, Kenneth R. – Journal of Educational Psychology, 2022
In this article, we leverage data from over 1,000 students participating in two different online courses to investigate whether better learning outcomes are associated with student decisions to practice instead of (re-)reading. Consistent with laboratory and classroom findings, we find that students' decisions to practice are related to better…
Descriptors: Independent Study, Electronic Learning, Online Courses, Outcomes of Education
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Yan, Hongxin; Lin, Fuhua; Kinshuk – Canadian Journal of Learning and Technology, 2022
Self-paced online learning provides great flexibility for learning, yet it brings some inherent learning barriers because of the nature of this educational paradigm. This review paper suggests some corresponding strategies to address these barriers in order to create a more supportive self-paced online learning environment. These strategies…
Descriptors: Electronic Learning, Individualized Instruction, Educational Strategies, Barriers
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Moreno, Rhia; Flood, Lee D.; Rausch, Meredith A.; Takahashi, Arthur; Kluge, Stacy L. – Online Learning, 2022
Following the transition to e-learning due to COVID-19, instructional designers (IDs) went into action to prepare faculty for distance education using new technologies and pedagogical approaches. The purpose of this qualitative study was to interpret how five members of an ID team at a U.S. higher education institution made sense of their…
Descriptors: Instructional Design, School Personnel, Experience, Emergency Programs
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Chien, Hsiang-Yu; Yeh, Yu-Chen; Kwok, Oi-Man – Online Learning, 2022
During the pandemic, online courses became the major delivery format for most institutions of higher learning across the United States and around the world. However, many students experienced emotional distress as a result and have struggled to adapt to remote learning. To explore how emotional distress relatesto other aspects of online learning,…
Descriptors: Electronic Learning, Learning Readiness, Prediction, Psychological Patterns
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Lapidot-Lefler, Noam – International Journal of Emotional Education, 2022
The goal of this paper is to address the questions of how social-emotional learning [SEL] can be incorporated into online learning and what effect such integration can have on students. The COVID-19 outbreak significantly increased the use of online learning at all levels of education. However, research shows that the online learning experience…
Descriptors: Social Emotional Learning, Electronic Learning, Online Courses, Preservice Teachers
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Frank, Tyler H. J. – Adult Literacy Education, 2022
To meet the demands of the 21st century, adult learners must display a range of sophisticated strategies for dealing with the digital world. With the switch to online instruction over the last months this need is only greater. In this article, I describe specific activities I implement with adult learners in a math and science class to help them…
Descriptors: Electronic Learning, Problem Solving, Adult Students, Digital Literacy
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