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Showing 16 to 30 of 396 results Save | Export
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Wenfeng Si; Guangwei Hu; Juan Long – Interactive Learning Environments, 2024
Due to the digital revolution, online education based on the B2B2C (Business to Business to Consumer) model is growing Understanding students' expectations, concerns, and experiences of these courses are crucial to the successful of education. Based on the research framework of value co-creation and value co-destruction and the theory of social…
Descriptors: Electronic Learning, Consumer Economics, Content Analysis, Student Attitudes
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Zhou, Yizhuo; Zhao, Jin; Zhang, Jianjun – Interactive Learning Environments, 2023
On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…
Descriptors: Electronic Learning, Prediction, Dropouts, Student Behavior
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Bashir, Faiza; Warraich, Nosheen Fatima – Interactive Learning Environments, 2023
The study intends to identify the emerging themes of e-learning through the Semantic Web. To highlight the key challenges and explore the core benefits of this mesmerizing technology was another goal of the study. To get the set goals researchers systematically reviewed the literature in five leading databases, out of which one specialized…
Descriptors: Electronic Learning, Technology Uses in Education, Internet, Semantics
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Pinar Ozel; Duygu Mutlu-Bayraktar; Tugba Altan; Veysel Coskun; Ali Olamat – Interactive Learning Environments, 2023
This study aims to conduct a systematic review of studies on neuroimaging measurements used in multimedia learning research. The particular aim of the review is to explore how cognitive processes in multimedia learning are studied with relevant variables through neuroimaging technology. Studies that met the inclusive criteria were selected and…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Multimedia Materials
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O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
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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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Huijin Lu; Xiaojun Zhang – Interactive Learning Environments, 2024
The formulation of a sense of community (SOC) among students has received significant attention in the literature in recent years. However, digitally enhanced learning and COVID-19 have amplified the challenges vis-à-vis connecting students and making them feel involved and recognized in virtual learning ecologies for higher educational…
Descriptors: Sense of Community, Blended Learning, Electronic Learning, Educational Environment
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Chenglu Li; Wanli Xing; Walter Leite – Interactive Learning Environments, 2024
As instruction shifts away from traditional approaches, online learning has grown in popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics methods such as machine learning have been used by educational scholars to support online learners on a large scale. However, the fairness of AI prediction in educational…
Descriptors: Artificial Intelligence, Prediction, Mathematics Achievement, Algorithms
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May Mei Ling Wong; Ka Hing Lau – Interactive Learning Environments, 2024
The adoption of online learning has been accelerated by COVID-19, including experiential learning such as service-learning (SL). This study compares the student developmental outcomes between the traditional face-to-face and e-service-learning (E-SL) to reveal the effectiveness of E-SL and its good practices. A self-reporting measurement…
Descriptors: Electronic Learning, Service Learning, COVID-19, Pandemics
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Costley, Jamie; Lange, Christopher – Interactive Learning Environments, 2023
The use of e-learning personalization allows learners to control their learning by choosing which content to process and how to process it. In order to explain the processes that occur when students use e-learning personalization, this study looks at how it interacts with two other variables: sequencing and fading, a scaffolding technique where…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Yeh, Ching-Hsuan; Wang, Yi-Shun; Wang, Yu-Min; Liao, Ting-Jun – Interactive Learning Environments, 2023
Mobile phones are now used ubiquitously in everyday life around the world. However, using mobile devices for learning activities (i.e. m-learning) is not as popular as initially expected. This study explores the factors that affect m-learning apps acceptance among mobile phone users and investigates how personality, readiness, and motivation…
Descriptors: Handheld Devices, Educational Technology, Gamification, Electronic Learning
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Jr Emerson Rogério de Oliveira; Adriano Pasqualotti – Interactive Learning Environments, 2024
E-learning is the direct result of the integration between technology and education. The lifelong learning process for older people should consider employing e-learning activities. The objective of this work was to identify the pedagogical processes involved in e-learning activities in learning environments used by elderly people. The literature…
Descriptors: Older Adults, Electronic Learning, Technology Uses in Education, Access to Education
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Mengqian Wang; Wenge Guo; Qian Dong – Interactive Learning Environments, 2024
Given the changing nature of literacy, it is critical to investigate how learners communicate using the multimodal affordances of digital platforms. Guided by metafunctions of Systemic Functional Linguistics, this study developed a multimodal analytical framework to quantify multimodal composing with indicators of functional meaning to evaluate…
Descriptors: Foreign Countries, High School Students, Digital Literacy, Learning Modalities
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Soomaiya Hamid; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
E-learning is the process of sharing knowledge out of the traditional classrooms through different online tools using internet. The availability and use of these tools are not easy for every student. Many institutions gather e-learning feedback to know the problems of students to improve their systems. In e-learning systems, typically a high…
Descriptors: Feedback (Response), Electronic Learning, Automation, Classification
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Bo Jiang; Yuang Wei; Meijun Gu; Chengjiu Yin – Interactive Learning Environments, 2024
The purpose of this study is to explore students' backtracking patterns in using a digital textbook, reveal the relationship between backtracking behaviors and academic performance as well as learning styles. This study was carried out for 2 semesters on 102 university students and they are required to use a digital textbook system called DITeL to…
Descriptors: Student Behavior, Electronic Learning, Electronic Publishing, Textbooks
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