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Ibrahim Adeshola; Mary Agoyi – Interactive Learning Environments, 2023
The sudden outbreak of COVID-19 made universities switch rapidly to e-learning, which enabled continuous access to education. Thus, the evaluation of e-learning engagement is essential to ensure students are engaged in their studies just as it is in the conventional face-to-face classroom. The students are totally in control of their participation…
Descriptors: Learner Engagement, COVID-19, Pandemics, Electronic Learning
Jordi Guitart; Juan José Costa – Interactive Learning Environments, 2024
The pandemic situation banned the presence of teachers and students in the classrooms disrupting the typical teaching process. Videoconferencing services have been used successfully for lectures, but they are insufficient for hands-on laboratories where the physical presence is a requirement (i.e. to access specific hardware). Enabling remote…
Descriptors: Distance Education, Laboratories, Computer Networks, Videoconferencing
Jing Peng – Interactive Learning Environments, 2024
Playing musical instruments involves a high level of skill based on the harmonious and esthetic reproduction of notes. The main aim of this study is to determine the impact of MusicFlow, an interactive music composition system, on the development of students' piano skills. The article also used a survey to determine the potential of using digital…
Descriptors: Musical Instruments, Music Education, Musical Composition, Computer Software
Lam, Tsz Yiu; Dongol, Brijesh – Interactive Learning Environments, 2022
The properties of a blockchain such as immutability, provenance, and peer-executed smart contracts could bring a new level of security, trust, and transparency to e-learning. In this paper, we introduce our proof-of-concept blockchain-based e-learning platform developed to increase transparency in assessments and facilitate curriculum…
Descriptors: Information Technology, Web Based Instruction, Instructional Innovation, Electronic Learning
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Angehrn, Albert A.; Luccini, Angelo Marco; Maxwell, Katrina – Interactive Learning Environments, 2009
Innovation is a key driver of organizational renewal and success. However, providing the right environment for innovative ideas to emerge and develop is not easy. This is further complicated by the fact that the professional environment is increasingly virtual as globally dispersed organizational and inter-organizational teams collaborate on…
Descriptors: Knowledge Management, Management Systems, Innovation, Social Networks
Kekes, Ioannis; Mylonakou, Iro – Interactive Learning Environments, 2006
Modern society is characterized by complexity, uncertainty and fuzziness, and people need to re-examine their strategies as well as their way of thinking as a whole in order to cope with the problems that emerge. This project attempts to reinforce syneducational transactions among people (students, parents, educators, policy makers) who are…
Descriptors: Interdisciplinary Approach, Program Evaluation, Mentors, Program Implementation