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Jia-qi Zheng; Kwok-cheung Cheung; Pou-seong Sit – Education and Information Technologies, 2024
With the rapid growth of education data in large-scale assessment, machine learning techniques are crucial to the interdisciplinary development of education and information. Although data mining tools are increasingly used to predict overall student performance, resilient students in the digital world remain unstudied. Our study aims to…
Descriptors: Educational Technology, Foreign Countries, Resilience (Psychology), Students
Raul Nick Cabrera; Velma Dora Menchaca; Marie Simonsson; Hilda Silva – International Journal of Technology in Education and Science, 2024
The purpose of this research was to obtain faculty perceptions of online instruction and educational technology in higher education. Data was collected from eight participants through interviews and open-ended questions at a higher education institution. Results showed that faculty consider that online instruction is only possible for certain…
Descriptors: College Faculty, Teacher Attitudes, Electronic Learning, Distance Education
Nedime Selin Çöpgeven; Mehmet Firat – Journal of Educators Online, 2024
Learning processes can now be transferred to digital environments, allowing for the tracking of learners' digital footprints. The field of learning analytics focuses on the efficient use of these digital records to improve both learning experiences and processes. Dashboards are the tangible outputs of learning analytics. The use of dashboards in…
Descriptors: Electronic Learning, Distance Education, Academic Achievement, Educational Technology
Mathias Mejeh; Livia Sarbach; Tina Hascher – Education and Information Technologies, 2024
Lifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology…
Descriptors: Feedback (Response), Independent Study, Lifelong Learning, Electronic Learning
Vasiliki Karampa; Foteini Paraskeva – International Journal of Learning Technology, 2024
In parallel to web evolution from 1.0 to 4.0 with trends to 5.0, e-learning has evolved to smart learning (SmL). E-courses are pedagogically designed and implemented using web technologies to provide smart learning affordances (SLAs). By following research-based design methodology, this study investigates the effectiveness of web technologies…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Electronic Learning
Alfiya R. Masalimova; Marina R. Zheltukhina; Olga V. Sergeeva; Zhanna M. Sizova; Philipp N. Novikov; Albina R. Sadykova – Contemporary Educational Technology, 2024
The proliferation of technology and the heightened significance of e-learning in the midst of the COVID-19 pandemic transformed the perspectives and attitudes of educational stakeholders toward educational technology. The objective of this research was to explore the attitudes of higher education students toward e-learning. Data collection was…
Descriptors: COVID-19, Pandemics, Electronic Learning, Student Attitudes
Ayman Alarabiat; Omar Hujran; Dimah Al-Fraihat; Ali Aljaafreh – Education and Information Technologies, 2024
Previous Online Learning (OL) studies have provided significant insights into why students would adopt or use OL but far less attention has been directed towards understanding why they would reject or resist continuing to use OL. The capability of OL to simulate the learning process to be equivalent to classroom learning remains an unresolved…
Descriptors: Learner Engagement, Resistance (Psychology), Electronic Learning, Influences
Yun-Qi Bai; Jia-Wen Jiang – Interactive Learning Environments, 2024
The research on the influencing factors of the use of digital learning resources is the focus of this field. Although a large number of empirical studies involve the discussion of influencing factors, the conclusions of different studies are also different. Through meta-analysis, taking 146 effect values and 9996 independent research objects in 19…
Descriptors: Educational Technology, Educational Resources, Influences, Intention
K. I. Senadhira; R. A. H. M. Rupasingha; B. T. G. S. Kumara – Education and Information Technologies, 2024
The majority of educational institutions around the world have switched to online learning due to the COVID-19 pandemic. Since continuing education has become important during the pandemic as well, academics and students have recognized the value of online learning to avoid their challenges. The objective of this study is to categorize peoples'…
Descriptors: Classification, Artificial Intelligence, Social Media, Electronic Learning
Maria Papantonis Stajcic; Pernilla Nilsson – Research in Science Education, 2024
This study investigates preschool teachers' considerations for including digital tools in science teaching to develop children's learning of science content. Due to the ongoing digitalisation and demands in society, the utilisation of digital tools has increased significantly in educational settings. Recent research about digital tools in early…
Descriptors: Preschool Teachers, Science Instruction, Electronic Learning, Educational Technology
Lisa M. Russell; Patrick A. Lach; Robin K. Morgan – Decision Sciences Journal of Innovative Education, 2024
This empirical study evaluates the impact of faculty training in online teaching on perceived comfort, perceived effectiveness, and stress during the Emergency Transition to Online Learning (ETOL) caused by COVID-19. Survey data revealed a positive relationship between training in online teaching and perceived effectiveness during the ETOL.…
Descriptors: COVID-19, Pandemics, Electronic Learning, Faculty Development
Lim, Fei Victor; Toh, Weimin – Contemporary Educational Technology, 2022
Mobile devices have become increasingly ubiquitous in the contemporary communication landscape. Riding this trend, educational apps have proliferated the market, with many which claim to support and improve children's learning and literacy development. Caregivers are often faced with the challenge of discerning the value of these educational apps…
Descriptors: Educational Technology, Play, Electronic Learning, Handheld Devices
Ishfaq Majid; Y. Vijaya Lakshmi – Online Submission, 2024
The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…
Descriptors: Electronic Learning, Models, Readiness, Content Analysis
Gary A. Olson; Heather Lynn Johnson; Rebecca Robinson; Robert Knurek; Kristin A. Whitmore – PRIMUS, 2024
Inverse and injective functions are topics in most college algebra courses. Yet, current materials and course structures may not afford students' conceptual understanding of these important ideas. We describe how students' work with digital activities, "techtivities," linking two different looking graphs that represent relationships…
Descriptors: College Mathematics, Algebra, Mathematics Instruction, Mathematical Concepts
Karol Lisette Rueda-Gómez; Luis J. Rodríguez-Muñiz; Laura Muñiz-Rodríguez – Education and Information Technologies, 2024
The goal of this research is to analyze the factors that mediate the success of the use of online learning support platforms, based on the perceptions of a focus group of university professors, with a qualitative methodological approach. The sample consisted of 11 mathematics professors who taught three subjects to 9 240 incoming students, during…
Descriptors: Educational Technology, College Faculty, Mathematics Teachers, Teacher Attitudes