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Showing 1 to 15 of 65 results Save | Export
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Sungyoon Lee; HyeJin Hwang; Yunkyung Shin; Panayiota Kendeou – British Journal of Educational Technology, 2026
This study explores the relations among digital literacy, teaching presence, social presence and their impact on perceived online learning within the context of elementary education. The study is grounded in two frameworks that explain online learning: Community of Inquiry (CoI) and digital literacy. Whereas the CoI framework identifies social…
Descriptors: Predictor Variables, Learning Experience, Elementary School Students, Digital Literacy
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Jayoung Song; Juhee Lee – Education and Information Technologies, 2025
This study addresses the necessity of comprehending the remote learning environment for improving online course design and delivery. The primary objective is to investigate the impact of teaching, cognitive, and social presence, along with learner motivation from the Community of Inquiry framework, on students' learning satisfaction in both…
Descriptors: Synchronous Communication, Asynchronous Communication, Computer Mediated Communication, Distance Education
Alexander Charles Rausch – ProQuest LLC, 2024
This non-experimental correlational quantitative research study was conducted to examine the relationship between the percentage of voluntary live synchronous virtual lesson attendance (LVLA) and the reading comprehension skill growth of sixth through eighth-grade English Language Arts (ELA) students enrolled in a Pennsylvania full-time online…
Descriptors: Synchronous Communication, Electronic Learning, Reading Comprehension, Grade 6
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Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
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Oronzo Mazzeo; Lucia Monacis; Paolo Contini – Turkish Online Journal of Distance Education, 2025
The study aimed to analyze the influence of such factors, as cognitive engagement, learning strategies and social support on academic success and student satisfaction in online learning environments. Data were collected in a cross-sectional survey carried out in the Winter semester of 2023. Participants were 523 students recruited from…
Descriptors: Success, Student Satisfaction, Online Courses, College Students
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Xiao, Jun; Jiang, Zhujun – International Journal of Mobile and Blended Learning, 2023
Mobile learning provides more flexibility and holds considerable promise for improving the learning process and promoting lifelong learning. In order to reduce the sense of isolation felt by the learners, this research integrates mobile learning in the blended synchronous learning environment (BSLE). This study proposed a mobile learning model in…
Descriptors: Telecommunications, Handheld Devices, Blended Learning, Synchronous Communication
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Nathan Mentzer; Elnara Mammadova; Adrie Koehler; Lakshmy Mohandas; Shawn Farrington – Educational Technology Research and Development, 2025
During COVID, HyFlex gained popularity and became a "new normal" that educators need to consider as an effective instructional approach. Previous research offers conflicting findings related to the impact of HyFlex instruction on students' basic psychological needs and academic performance. Our investigation provides insight into a…
Descriptors: Psychological Needs, Academic Achievement, Pandemics, COVID-19
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Artur Strzelecki – Interactive Learning Environments, 2024
ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Technology Uses in Education
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Zheng, Chen – International Journal for the Scholarship of Teaching and Learning, 2023
This paper examines whether and to what extent student engagement with the learning management system (LMS) Blackboard affects students' academic performance during the COVID-19 pandemic. We find strong evidence that higher student engagement with Blackboard is associated with better academic performance. We also find that the association between…
Descriptors: Learner Engagement, Academic Achievement, COVID-19, Pandemics
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Hana D. Zhou; J. D. Walker; Dalay Olson – Advances in Physiology Education, 2024
In response to COVID-19, educators rapidly pivoted to new and innovative ways of delivering lecture material. The ability to host synchronous lectures on platforms like Zoom gave students continued access to classroom material in the face of an ongoing pandemic. The purpose of this study was to investigate the differences in exam scores between…
Descriptors: Physiology, Asynchronous Communication, Educational Technology, Lecture Method
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Joseph Lobo; Kirth Teodosio; Kristia Estilo; Michael Achas; Johnlenon Aliser; Christie Lynne Codod – Journal of Educators Online, 2025
This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…
Descriptors: Learning Management Systems, Videoconferencing, Physical Activities, Health Promotion
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Muhammad Aizri Fadillah; Usmeldi Usmeldi; Asrizal Asrizal – Journal of Baltic Science Education, 2024
The role of ChatGPT and higher-order thinking skills (HOTS) as predictors of physics inquiry among uppersecondary students has yet to be widely explored. Therefore, this research aimed to examine upper-secondary students' role in ChatGPT (convenience and quality (CQ), motivation and engagement (ME), and accuracy and trust (AT)) and HOTS as…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Thinking Skills
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Stadlman, Margaret; Salili, Seyyed M.; Borgaonkar, Ashish D.; Miri, Amir K. – Journal of STEM Education: Innovations and Research, 2022
Lack of student persistence and retention is significantly hurting the US in producing the required number of qualified graduates, especially in STEM fields. Although many factors contribute to students falling off track, one of the controllable factors is the identification of at-risk students followed by early intervention. Predicting the…
Descriptors: Artificial Intelligence, Synchronous Communication, Educational Technology, Electronic Learning
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Goode, Elizabeth; Nieuwoudt, Johanna Elizabeth; Roche, Thomas – Australasian Journal of Educational Technology, 2022
One Australian public university is radically changing the way it delivers higher education, introducing a 6-week immersive scheduling delivery model across all units and courses. Despite the emerging success of block and immersive models for raising the performance of diverse student cohorts, the design factors underpinning positive outcomes are…
Descriptors: Electronic Learning, Online Courses, Learning Modules, Synchronous Communication
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Bruso, Jacqueline; Stefaniak, Jill; Bol, Linda – Educational Technology Research and Development, 2020
Each learner brings a unique mix of personality traits, preferences, and talents to the educational setting. These factors can influence the extent to which learners are able to effectively deploy skills and strategies to achieve their academic goals. Gaining a deeper awareness of how specific personality traits play a role in the choice and…
Descriptors: Personality Traits, Predictor Variables, Self Management, Learning Strategies
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