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Joanna Rosak-Szyrocka, Editor; Shashi Kant Gupta, Editor; Muhammad Shahbaz, Editor; Markus A. Launer, Editor – Routledge, Taylor & Francis Group, 2025
"Enhancing Smart Universities with Emotional Intelligence" investigates the successful blending of technology innovations and human beings' emotional intelligence within higher education institutions in the midst of digital transformation. Today's "smart" universities improve student experiences, expedite administrative…
Descriptors: Universities, Electronic Learning, Emotional Intelligence, Technological Literacy
Kwet, Michael; Prinsloo, Paul – Teaching in Higher Education, 2020
This article examines developments in the 'smart classroom' as a new frontier for the university. It provides a conceptual map of the scope and limitations of smart classrooms, contextualized to smart university initiatives. First, it introduces the notion of 'smart' technology in cities, campuses, and classrooms. Next, it examines how the smart…
Descriptors: Educational Technology, Classroom Environment, Educational Equipment, College Environment
Altinay, Fahriye, Ed. – IntechOpen, 2020
This book has three sections on the role of technology in education. The first section covers the merits of online learning and environment. The second section of the book gives insight on new technologies in learning and teaching. The third section of the book underlines the importance of new tendencies for the technology in education. There is a…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Electronic Learning
Malone, Naomi; Hernandez, Mike; Reardon, Ashley; Liu, Yihua – Advanced Distributed Learning Initiative, 2020
A capability maturity model provides a thorough understanding of where the organization is and, perhaps more importantly, where the organization needs to grow. The purpose of this report is to describe the development of the ADL Initiative Distributed Learning Capability Maturity Model (DL-CMM), illustrate its major components, and explain how it…
Descriptors: Organizational Effectiveness, Productivity, Success, Organizational Change
Ifenthaler, Dirk; Gibson, David; Dobozy, Eva – Australasian Journal of Educational Technology, 2018
Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply…
Descriptors: Instructional Design, Intervention, Electronic Learning, Case Studies
Martin, Florence; Ndoye, Abdou – Journal of University Teaching and Learning Practice, 2016
Learning analytics can be used to enhance student engagement and performance in online courses. Using learning analytics, instructors can collect and analyze data about students and improve the design and delivery of instruction to make it more meaningful for them. In this paper, the authors review different categories of online assessments and…
Descriptors: Educational Research, Data Collection, Data Analysis, Academic Achievement
Mahdi, Hassan Saleh – Journal of Educational Computing Research, 2018
Mobile devices are considered as the most widely used information and communication technologies. They have provided great advantages in language learning. This study reports a meta-analysis of the effectiveness of using mobile devices on vocabulary learning. A meta-analysis was conducted on research that compared the outcomes from students…
Descriptors: Instructional Effectiveness, Handheld Devices, Electronic Learning, Educational Technology
Martins, Jorge Tiago; Baptista Nunes, Miguel – Learning Organization, 2016
Purpose: This paper aims to examine how academics enact trust in e-learning through an inductive identification of perceived risks and enablers involved in e-learning adoption, in the context of higher education institutions (HEIs). Design/methodology/approach: Grounded Theory was the methodology used to systematically analyse data collected in…
Descriptors: College Faculty, Electronic Learning, Adoption (Ideas), Higher Education
Leahy, Margaret; Davis, Niki; Lewin, Cathy; Charania, Amina; Nordin, Hasniza; Orlic, Davor; Butler, Deirdre; Lopez-Fernadez, Olatz – Educational Technology & Society, 2016
This exploratory analysis of smart partnerships identifies the risk of increasing the digital divide with the deployment of data analytics. Smart partnerships in education appear to include a process of evolution into a synergy of strategic and holistic approaches that enhance the quality of education with digital technologies, harnessing ICT…
Descriptors: Educational Technology, Partnerships in Education, Equal Education, Access to Computers
Strang, Kenneth David – Journal of Educational Technology Systems, 2016
This article starts with a detailed literature review of recent studies that focused on using learning analytics software or learning management system data to determine the nature of any relationships between online student activity and their academic outcomes within university-level business courses. The article then describes how data was…
Descriptors: Outcomes of Education, Higher Education, Computer Software, Academic Achievement
Noroozi, Omid, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
Education, science, and technology disciplines are closely and extensively connected in all formats and levels. The outbreak of COVID-19 has further squeezed this interconnection where the delivery of education in different scientific fields of studies at all education levels is almost impossible without the presence of technology. Today, there is…
Descriptors: Education, Sciences, Technology, COVID-19
Ishtaiwa, Fawzi Fayez; Khaled, Ahmed; Dukmak, Samir – International Journal of E-Learning & Distance Education, 2015
In this qualitative study, faculty members' perceptions of the integration, affordances, and challenges of mobile learning (m-learning) were investigated through semi-structured interviews. The results showed that participants' integration of m-learning varies and tends to focus on select activities. At the same time, participants recognized…
Descriptors: Teacher Attitudes, Electronic Learning, Technology Integration, Affordances
Hargis, Jace; Cavanaugh, Cathy; Kamali, Tayeb; Soto, Melissa – Innovative Higher Education, 2014
This article presents faculty perceptions of the first month of iPad deployment in a national college system and a case study describing the integration of mobile learning devices in one college, interpreted within the framework of a SWOT analysis. We include a brief history of the implementation; description of the three-tier structure of…
Descriptors: Higher Education, Federal Programs, Electronic Learning, Handheld Devices
McDonald, Paige L.; Lyons, Laurie B.; Straker, Howard O.; Barnett, Jacqueline S.; Schlumpf, Karen S.; Cotton, Linda; Corcoran, Mary A. – Online Learning, 2014
For disciplines heavily reliant upon traditional classroom teaching, such as medicine and health sciences, incorporating new learning models may pose challenges for students and faculty. In an effort to innovate curricula, better align courses to required student learning outcomes, and address the call to redesign health professions education,…
Descriptors: Health Sciences, Medical Education, Blended Learning, Faculty Development
Chow, Meyrick – Australasian Journal of Educational Technology, 2016
There is a growing body of evidence that feeling present in virtual environments contributes to effective learning. Presence is a psychological state of the user; hence, it is generally agreed that individual differences in user characteristics can lead to different experiences of presence. Despite the fact that user characteristics can play a…
Descriptors: Structural Equation Models, Self Efficacy, Technology Uses in Education, Educational Technology

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