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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
Xianglin Pan; Bihao Hu; Zihao Zhou; Xiang Feng – Interactive Learning Environments, 2023
Academic emotions of learners are important for academic achievement. For the online learning platform, it is of great value to gain insight into the academic emotion of the course in appropriate time interval from the platform. We crawled a large number of student comment texts from MOOC, and used deep learning algorithms (BERT models) to perform…
Descriptors: Emotional Experience, MOOCs, Student Attitudes, Academic Achievement
Markus H. Hefter; Kirsten Berthold – Interactive Learning Environments, 2024
Numerous effective digital learning environments have evolved over the last few years built around video examples that follow an introduction phase and are often supplemented by prompts. The learning mechanisms behind these components remain subject to open questions, though. We thus conducted an online experiment with university students (N =…
Descriptors: Electronic Learning, Video Technology, Cues, College Students
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
Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
Xiting Yang – Interactive Learning Environments, 2024
Nowadays, modern technologies provide a variety of opportunities in many fields, including education. In this context, it is crucial to comprehend the possibility of developing new ways of teaching electroacoustic music using such technology tools. For this purpose, the researchers of the present study elaborated and implemented a study program…
Descriptors: Music Education, Higher Education, Teaching Methods, Electronic Learning
George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods
Qiaoyi Huang; Yi Wei – Interactive Learning Environments, 2024
The active process of digitalisation of all spheres of human activity, defined as the Industrial Revolution 4.0, has a direct impact on the transformation of the education system and learning management in the direction of meeting the need for lifelong learning and adapting to the dynamically changing requirements of the global labour market. This…
Descriptors: Foreign Countries, Learning Management Systems, Educational Technology, Needs Assessment
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Kosareva, Larisa; Demidov, Lev; Ikonnikova, Irina; Shalamov?, Olga – Interactive Learning Environments, 2023
This study examined the efficiency of teaching Russian as a foreign language (L2) in two groups of students -- the first benefited from the e-learning platform's capabilities (experimental), and the second underwent a traditional in-class course. Students learning Russian as L2 at People's Friendship University of Russia (Moscow, Russia) were…
Descriptors: Russian, Second Language Learning, Second Language Instruction, Comparative Analysis
Christine Ting-Yu Yang; Shu-Li Lai; Howard Hao-Jan Chen – Interactive Learning Environments, 2024
Research has revealed the positive impact of intelligent personal assistants (IPAs) on L2 learners' oral development and learning attitude. These studies, however, focused mostly on the in-class use of IPAs, with existing research on the out-of-class use being exploratory. To fill the gap of lacking empirical investigations on IPA-based autonomous…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Influence of Technology, Personal Autonomy
Ge, Zi-Gang – Interactive Learning Environments, 2021
The present study aims to explore the impact of mismatch between learners' media preference and media assigned to them on their learning performance. The participants were 214 adult Chinese e-learners enrolled for an English course, and were assigned to 6 groups based on their media preferences and the media assigned to them. A 2 × 3…
Descriptors: Educational Media, Multimedia Materials, Learning Modalities, Cognitive Style
Zou, Di; Wang, Minhong; Xie, Haoran; Cheng, Gary; Wang, Fu Lee; Lee, Lap-Kei – Interactive Learning Environments, 2021
Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task…
Descriptors: Linguistic Theory, Vocabulary Development, Second Language Learning, Second Language Instruction
Hwang, Gwo-Haur; Chen, Beyin; Chen, Ru-Shan; Wu, Ting-Ting; Lai, Yu-Ling – Interactive Learning Environments, 2019
Competitive game-based learning has been widely discussed in terms of its positive and negative impacts on learners' learning effectiveness and learning behavior. Although different types of games require different kinds of knowledge to accomplish the task via competition, few studies have considered that knowledge types, such as procedural…
Descriptors: Student Behavior, Adoption (Ideas), Competition, Game Based Learning
Bagriacik Yilmaz, Ayse; Karatas, Serçin – Interactive Learning Environments, 2018
The aim of this study was to develop a measurement instrument which is compatible with literature, of which validity and reliability are proved with the aim of determining interaction perceived by learners in online learning environments. Accordingly, literature review was made, and outline form of the scale was formed with item pool by taking 14…
Descriptors: Foreign Countries, College Students, Likert Scales, Computer Mediated Communication
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