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Showing 1 to 15 of 29 results Save | Export
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Hang Zeng; Jiutong Luo – Interactive Learning Environments, 2024
Distance learning and online learning have become the new educational paradigm. Based on synchronicity, online learning environments can be classified into synchronous and asynchronous online learning. However, previous evidence demonstrating the effects of these two online learning modalities on students' academic achievement has been…
Descriptors: Distance Education, Electronic Learning, Asynchronous Communication, Synchronous Communication
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Deneil D. Christian; Kenny A. Hendrickson; Ameeta Jadav – Interactive Learning Environments, 2024
Cameras may be viewed as an essential tool in online synchronous classes. They may give a sense of connectedness between the students and faculty. In fact, social presence is considered a vital factor in distance education. In our study, we examine faculty's perception of accepted reasons for students to turn off their cameras and perceived…
Descriptors: Video Technology, Electronic Learning, Synchronous Communication, College Faculty
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Mohammed A. Al-Sharafi; Mostafa Al-Emran; Mohammad Iranmanesh; Noor Al-Qaysi; Noorminshah A. Iahad; Ibrahim Arpaci – Interactive Learning Environments, 2023
Artificial intelligence (AI)-based chatbots have received considerable attention during the last few years. However, little is known concerning what affects their use for educational purposes. This research, therefore, develops a theoretical model based on extracting constructs from the expectation confirmation model (ECM) (expectation…
Descriptors: Knowledge Management, Sustainability, Artificial Intelligence, Technology Uses in Education
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Hagit Meishar-Tal; Alona Forkosh-Baruch – Interactive Learning Environments, 2024
One of the phenomena that lecturers who switched to online distance learning during COVID-19 reported is the refusal of students to turn on their cameras during online classes. This study aimed to examine the factors that predict the opening of cameras in class. The study examined this issue regarding three types of predictors: resistance factors,…
Descriptors: Foreign Countries, College Students, Online Courses, Synchronous Communication
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Kaysi, Feyzi – Interactive Learning Environments, 2023
With the rising influence of technology, students have become heavy users of instant messaging applications. It makes one wonder about students' motivations in using these applications and their usage habits. The aims of this study were to analyze the messaging activities of university students in blended classroom groups, to investigate the…
Descriptors: College Students, Synchronous Communication, Handheld Devices, Student Behavior
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Guiqin Liang; Chunsong Jiang; Qiuzhe Ping; Xinyi Jiang – Interactive Learning Environments, 2024
With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…
Descriptors: Academic Achievement, Prediction, Engineering Education, Online Courses
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Sevil Orhan-Özen; Murat Sümer – Interactive Learning Environments, 2024
Schools and universities insisted on using live instructions and synchronous learning for the main strategy of learning during the global crisis. For this reason, it may be critical to investigate the students' use and acceptance of live instruction behaviors to see if they use it or not. The purpose of this research is to investigate the factors…
Descriptors: Synchronous Communication, Undergraduate Students, Foreign Countries, Student Attitudes
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S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
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Justin Robertson – Interactive Learning Environments, 2023
During the pandemic, students have been regularly engaged in what I call real time learning through chat and polling exercises. This is an exciting development, but one that also carries the risk of being poorly implemented and not achieving its intended learning outcomes. Four real time teaching methods are presented in this article for…
Descriptors: COVID-19, Pandemics, Teaching Methods, Foreign Countries
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Rachel L. Vollmer; Teresa Drake – Interactive Learning Environments, 2024
The objective of this study was to evaluate undergraduate students' experiences in a synchronous online course that utilized flipped learning during the COVID-19 pandemic compared to flipped learning in a face-to-face class pre-pandemic. Upper-level undergraduate students (n = 27) in an advanced nutrition face-to-face course during the spring 2019…
Descriptors: Undergraduate Students, Student Experience, Flipped Classroom, COVID-19
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Constance A. Lightner; Carin A. Lightner-Laws – Interactive Learning Environments, 2024
As COVID-19 continues to impact various business sectors, university administrators have steadily pushed for all academic units to resume on campus operations and activities; conversely, faculty and students have expressed increased interest in continuing online teaching/learning. We aim to mitigate this "tug-of-war" between…
Descriptors: Blended Learning, Flexible Scheduling, Business Administration Education, Statistics
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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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Leslie S. LeRoy; Renee Kaufmann; Derek R. Lane – Interactive Learning Environments, 2024
Technological advances and COVID-19 have led to expedited technology use and online learning in higher education. Increased technology use and online learning have led individuals to either adapt or experience technostress. Higher education is a ripe context for technostress to occur, especially for students, since many courses are being offered…
Descriptors: Video Technology, Electronic Learning, Technology Uses in Education, Stress Variables
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Ming Du; Sufen Wang; Zhijun Wang; Leizhi Wang; Rong Yu; Mingyou Yin – Interactive Learning Environments, 2024
This study aims to explore the difference between on-line and off-line teaching and comprehensively evaluate the of elearning system operation effect as both technology-mediated learning and an open information system. This study develops "process-situation-result" (PSR) network, a comprehensive learning system evaluation model. It…
Descriptors: Electronic Learning, Asynchronous Communication, Synchronous Communication, Technology Uses in Education
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Nathan Mentzer; Lakshmy Mohandas – Interactive Learning Environments, 2024
The HyFlex learning model has gained popularity in recent years and, with the outbreak of COVID-19, the demand has increased. However, there are challenges associated with the model, especially related to equity and engagement. A HyFlex model known as Interactive Synchronous HyFlex is being developed and practised by the researchers in their…
Descriptors: Thinking Skills, COVID-19, Pandemics, Synchronous Communication
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