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Kongpha, Rattanakul; Chatwattana, Pinanta – Higher Education Studies, 2023
The virtual interactive learning model using imagineering process as a tool to promote happy learning for digital age learners. The concept is based on the combination of virtual learning environment and metaverse in order to create learning experience via virtual community. The objectives of this research are (1) to study and synthesise the…
Descriptors: Electronic Learning, Interaction, Computer Simulation, Instructional Development
Xundiao Ma; Yueguang Xie; Xin Yang; Hanxi Wang; Jia Lu – Education and Information Technologies, 2024
Teacher-student interaction (TSI) is the core element and important teaching method of smart classroom. Improving the quality of smart classroom teaching and developing higher-order thinking (HOT) among students requires strengthening research on the TSI structure in smart classroom. At present, the structure model of TSI in smart classroom mainly…
Descriptors: Teacher Student Relationship, Interaction, Virtual Classrooms, Electronic Learning
Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…
Descriptors: Foreign Countries, Identification, Interaction, Learning Processes
Mona Tabatabaee-Yazdi – Interactive Learning Environments, 2024
In the era of COVID-19 and right after the announcement of it as a pandemic and threat to humanity by the World Health Organization, most educational activities were globally forced to shut down their traditional teaching/learning activities. This is one of the biggest and most vital changes of educational settings which have led to migration to…
Descriptors: English (Second Language), Second Language Instruction, COVID-19, Pandemics
Ma, Ning; Li, Ya-Meng; Guo, Jia-Hui; Laurillard, Diana; Yang, Min – Interactive Learning Environments, 2023
The use of massive open online courses (MOOCs) for teacher professional development (TDP) has increased in the past decades. This study explored the key factors that influenced teachers' online course completion as a significant indicator of their success in a TPD MOOC. Six key influencing factors (self-efficacy, interaction with curriculum…
Descriptors: Inservice Teacher Education, MOOCs, Faculty Development, Pedagogical Content Knowledge
Ahmad Samed Al-Adwan; Mutaz M. Al-Debei – Education and Information Technologies, 2024
The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…
Descriptors: Technology Uses in Education, Computer Simulation, Electronic Learning, Interaction
Seyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design
Ean Teng Khor; Dave Darshan – International Journal of Information and Learning Technology, 2024
Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Keskin, Sinan; Yurdugül, Halil – Journal of Educational Technology and Online Learning, 2022
This study aims to examine e-learning experiences of the learners by using learner system interaction metrics. In this context, an e-learning environment has been structured within the scope of a course. Learners interacted with learning activities and leave various traces when they interact with others, contents, and assessment tasks. Log data…
Descriptors: Electronic Learning, Learning Experience, Models, Learning Activities
Hamza Polat; Elif Taslibeyaz – Education and Information Technologies, 2024
During the COVID-19 pandemic, there was an increase in the use of online courses, which required improvements in their effectiveness. To address this, the online flipped model was suggested as a solution, and this study aimed to assess the efficacy of using interactive instructional videos within an online flipped course design. The study employed…
Descriptors: Video Technology, Interaction, Flipped Classroom, COVID-19
Hernández Suárez, Cesar Augusto; Avendaño Castro, William Rodrigo; Gamboa Suárez, Audin Aloiso – Journal of Language and Linguistic Studies, 2022
The purpose of this research is to determine the perception of a group of students on the impact of a virtual platform for interaction and social learning in the B-Learning model. It was framed in the quantitative approach, at a descriptive level through fieldwork, using a survey as a source of information collection. The sample of 131…
Descriptors: College Students, Socialization, Electronic Learning, Student Attitudes
Kukkar, Ashima; Mohana, Rajni; Sharma, Aman; Nayyar, Anand – Education and Information Technologies, 2023
Predicting student performance is crucial in higher education, as it facilitates course selection and the development of appropriate future study plans. The process of supporting the instructors and supervisors in monitoring students in order to upkeep them and combine training programs to get the best outcomes. It decreases the official warning…
Descriptors: Academic Achievement, Mental Health, Well Being, Interaction
Carranza Rogerio, Brenda; Yan, Yu; Cooper, Eric Wallace – International Journal of Technology in Education, 2023
The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…
Descriptors: Affective Behavior, Feedback (Response), STEM Education, Electronic Learning
AL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
Karnam, DurgaPrasad; Agrawal, Harshit; Parte, Pranay; Ranjan, Saurabh; Borar, Priyanka; Kurup, Prasanna Prakash; Joel, Amose Jebin; Srinivasan, Pattamadai Sankaran; Suryawanshi, Uddhav; Sule, Aniket; Chandrasekharan, Sanjay – Journal of Computer Assisted Learning, 2021
Educational technology designs in developing countries mostly focus on making knowledge resources widely available, through MOOCs, repositories and computer-based tutoring. The use of digital media for cognitive augmentation, particularly interactive designs that help learners understand modelling topics in STEM, is underexplored. We report a…
Descriptors: Educational Technology, Foreign Countries, Developing Nations, Models

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