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Showing 1 to 15 of 49 results Save | Export
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Gaojun Shi; Jiaping Li; Junfeng Yang – Interactive Learning Environments, 2024
Online learning became more commonplace all over the world in the post-pandemic era; however, the research on how to promote Online Persistent Learning (OPL) was still in its infancy. Therefore, this study aimed to analyse the influencing factors of Online Persistent Learning Supported by Intelligent Technology (OPLSIT) based on the dimensions of…
Descriptors: Electronic Learning, Academic Persistence, Recall (Psychology), Information Technology
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Gómez-García, Melchor; Soto-Varela, Roberto; Boumadan, Moussa; Matosas-López, Luis – Interactive Learning Environments, 2023
The emergence of social networks in the university context has contributed to modify students' behaviour, conditioning their academic performance and learning preferences. The objective is to analyse the influence of the patterns of use of social networks when predicting the usefulness that university students, give to different digital…
Descriptors: Foreign Countries, College Students, Social Networks, Social Media
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García-Murillo, Gabriel; Novoa-Hernández, Pavel; Rodri?uez, Rocío Serrano – Interactive Learning Environments, 2023
In this study, we report on a Systematic Mapping Study (SMS) for the application of technology acceptance models to Moodle under the prism of latent variable modeling. Based on an automatic search including primary studies from journals, conferences, and book chapters during 2001 to 2019, 41 primary were selected. We aim to contribute to a better…
Descriptors: Learning Management Systems, College Students, Technology Uses in Education, Educational Research
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Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
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Ding-Chau Wang; Yong-Ming Huang – Interactive Learning Environments, 2024
Tiny and affordable computers (e.g. Raspberry Pi and Arduino) have been widely applied to technology-enhanced hands-on learning (THL). However, little scholarly attention has been devoted to the key factors behind students' performance in THL contexts. Therefore, this study not only helped the participants learn computer science through THL, but…
Descriptors: Handheld Devices, Self Efficacy, Educational Technology, Computer Science Education
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Englund, L.; Moosvi, F.; Roll, I. – Interactive Learning Environments, 2023
This article describes the design and evaluation of an online, asynchronous tool that mirrors the beneficial peer instruction process currently conducted in face-to-face classrooms. In the online Peer Instruction tool, students respond to a multiple-choice question with an answer and explanation. They are then exposed to peer responses to the same…
Descriptors: Instructional Design, Peer Teaching, Computer Mediated Communication, Asynchronous Communication
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Çoban Budak, Esra; Yurtay, Nilüfer; Budak, Yusuf; Geçer, Aynur Kolburan – Interactive Learning Environments, 2023
In a world designed for non-disabled people, visually impaired students (VIS), have to overcome difficulties such as content and exam formats, in their education life. The aim of this study is to determine the usefulness level of the online voice-assisted exam system (OVAES), which was designed and developed by the researchers with reference to…
Descriptors: Access to Education, Visual Impairments, Computer Assisted Testing, Usability
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Yanying Chen; Yaoxin Tan; Yuhui Wang – Interactive Learning Environments, 2024
We designed a microbial science popularization product based on virtual reality technology, "Micro World -- Exploring the Microbial Kingdom," and conducted usability tests. Participants used head-mounted VR glasses to experience virtual scenarios teaching microbiological knowledge. The product's user experience was evaluated through a…
Descriptors: Computer Simulation, Science Education, Microbiology, Computer Peripherals
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Al-Emran, Mostafa; Al-Maroof, Rana; Al-Sharafi, Mohammed A.; Arpaci, Ibrahim – Interactive Learning Environments, 2022
Wearable technologies are becoming more pervasive with the development of high computational capability devices such as smartwatches, smart glasses, smart pills, and sensors. The emergence of these technologies may offer unique opportunities for both students and academics by allowing ubiquitous communication. Accordingly, the current study…
Descriptors: Educational Technology, Assistive Technology, Technology Uses in Education, Handheld Devices
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Yu-Yin Wang; Yu-Wei Chuang – Interactive Learning Environments, 2024
A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…
Descriptors: Computer Simulation, Electronic Learning, Technology Uses in Education, Learning Management Systems
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Vlasios Kasapakis; Elena Dzardanova; Spyros Vosinakis; Androniki Agelada – Interactive Learning Environments, 2024
Non-Verbal Cues (NVCs) add to communication effectiveness among individuals in both real and virtual world. Thus, NVCs transference between the two receives increased attention from both the industry and research community. Their efforts lead to sophisticated technological solutions which allow high fidelity NVCs to be transferred from real…
Descriptors: Sign Language, Nonverbal Communication, Cues, Computer Simulation
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Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, 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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Li Jin; Dawei Shang – Interactive Learning Environments, 2024
Massive open online courses (MOOC) have become important in the learning process and have been adopted in higher education, especially during the COVID-19 pandemic. However, few studies investigated MOOC continuance intention (CI) for arts disciplines. Thus, an integrated framework was proposed based on the expectation-confirmation model (ECM) and…
Descriptors: Art Education, MOOCs, Computer System Design, Continuing Education
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