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Waqas Khan; Saira Sohail; Muhammad Azam Roomi; Qasim Ali Nisar; Muhammad Rafiq – Education and Information Technologies, 2024
This study highlighted the role played by digitalization elements, such as information and communication technology (ICT) adoption, the social internet of things (IoT), and artificial intelligence (AI), in e-learning systems. It also examined the mediating role of digital literacy (DL) and pedagogical digital competence (PDC) and the potential…
Descriptors: Foreign Countries, Educational Technology, Artificial Intelligence, Technology Integration
Fatih Kalemkus; Müzeyyen Bulut-Özek – Interactive Learning Environments, 2024
The purpose of this research is to examine the effects of online project-based learning on students' metacognitive awareness. The participants of the research were 53 students attending 6th grade. The research was carried out using the mixed method approach and it was conducted with the action research model. Pre-test and post-test quantitative…
Descriptors: Student Projects, Grade 6, Middle School Students, Metacognition
Mehri Azizi; Bita Ajilchi; Fahimeh Shafirayat; Steve Kisely – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
This study examines the relationship between time management, academic engagement, and academic success among 11- and 12-year-old students in an online learning environment. A sample of 250 Iranian students was selected using a multi-stage random cluster sampling method The data were collected from students that self-reported via surveys. Results…
Descriptors: Foreign Countries, Time Management, Learner Engagement, Academic Achievement
Gamze Türkmen – Journal of Learning and Teaching in Digital Age, 2024
Group metacognition involves a collective understanding of cognitive processes and collaborative problem-solving mechanisms within a group. This study, conducted through a systematic review of 54 studies, aims to present the evolutionary trajectory of research on group metacognition in (predominantly) online and face-to-face learning environments.…
Descriptors: Metacognition, Group Experience, Cognitive Processes, Cooperation
Doniwen Pietersen – Perspectives in Education, 2024
Making the most of online or hybrid teaching platforms is essential to making sure that, in the Fourth Industrial Revolution (4IR), higher education settings in developing universities and places are not left behind. While a number of the technological platforms adopted during the COVID-19 lockdown have the potential to reach more kids, they have…
Descriptors: Electronic Learning, Teaching Methods, Higher Education, Industrialization
Hunter Michael Craig – ProQuest LLC, 2024
The threat of climate change makes it increasingly important for biologists and the public to understand how organisms respond to temperature. The Metabolic Theory of Ecology (MTE) predicts that temperature should affect organism performance, with implications for species interactions and ecosystems that span disciplines including mathematics,…
Descriptors: Climate, Metabolism, Animals, Science Laboratories
Shan Li; Xiaoshan Huang; Lijia Lin; Fu Chen – British Journal of Educational Technology, 2024
Upvotes serve important purposes in online social annotation environments. However, limited studies have explored the influential factors affecting peer upvoting in online collaborative learning. In this study, we analysed the factors influencing students' upvotes received from their peers as 91 participants utilized Perusall, an online social…
Descriptors: Documentation, Internet, Computer Mediated Communication, Peer Relationship
Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
Yao, Shu-Nung; Liang, Chaoyun – IEEE Transactions on Learning Technologies, 2023
Image processing-based augmented reality (AR) is widely used in several fields. However, audio content is also crucial in certain cases, for example, focusing on appreciating artwork in a museum, rather than a virtually synthesized image. In this study, an attempt was made to provide ubiquitous learning (u-learning) services by using audio AR for…
Descriptors: Computer Simulation, Electronic Learning, Audio Equipment, Educational Technology
Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
Özbey, Muhammed; Kayri, Murat – Education and Information Technologies, 2023
In this study, the factors affecting the transactional distance levels of university students who continue their courses with distance education in the 2020-2021 academic years due to the COVID pandemic process were examined. Factors that affect transactional distance are modeled with Artificial Neural Networks, one of the data mining methods.…
Descriptors: College Students, Distance Education, Electronic Learning, Anxiety
Khan, Eijaz Ahmed; Cram, Andrew; Wang, Xiaoxia; Tran, Khanh; Cavaleri, Michelle; Rahman, Md Jahidur – International Journal of Educational Management, 2023
Purpose: Critically, to improve and manage online learning quality (OLQUAL), higher education providers need to regularly measure OLQUAL. Hence, a reliable measure of OLQUAL in higher education from the students' perspective is indispensable. Further, as a pioneer in examining OLQUAL outcomes in the online education context, we assert that…
Descriptors: Electronic Learning, Educational Quality, Student Satisfaction, Trust (Psychology)
Okumus Dagdeler, Kübra – Smart Learning Environments, 2023
With rapid development of mobile technology, the number of researches on its use in language education process has increased. This growing body of interest has led to a need for review studies that are expected to explain the literature and the trend in the field succinctly. Based on this ground, this study aimed to review the studies conducted on…
Descriptors: Vocabulary Development, Learning, Handheld Devices, Educational Research
Negm, Eiman – Higher Education, Skills and Work-based Learning, 2023
Purpose: This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning. Design/methodology/approach: Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An…
Descriptors: College Students, Technological Literacy, Readiness, Internet
Parisi, Michelle; McFall, Danielle; Ankomah, Samuel; Dietz, Christina J.; Kanny, Samantha; Jones, Kadalynn Grace; Stancil, Michelle; Sherrill, Windsor Westbrook – Health Education Journal, 2023
Objective: The objective of this study was to investigate how a 1-hour education session that highlights American Heart Association/American Diabetes Association's Know Diabetes by Heart (KDBH) messaging changed the knowledge and behavioural intention of participants. Design: Single group, quasi-experimental study evaluating the impact of the KDBH…
Descriptors: Diabetes, Physical Health, Heart Disorders, Medicine