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Curry, John H.; Jackson, Sean R.; Morin, Heather – TechTrends: Linking Research and Practice to Improve Learning, 2022
For years, researchers and practitioners alike have searched for meaningful ways to describe or evaluate how technology was being integrated into teaching or to what level. This article will briefly summarize some of the predominant lenses through which to view technology integration and propose a new model for designing meaningfully…
Descriptors: Technology Integration, Educational Technology, Instructional Design, Models
Francom, Gregory M.; Schwan, Anna; Nuatomue, Jeremiah N. – TechTrends: Linking Research and Practice to Improve Learning, 2021
Learning management systems (LMSs) have been widely adopted in K-12 and higher education to support online and blended learning (Black et al. 2007; Graham 2005). One relatively new and untested LMS is Google Classroom, which has received widespread adoption in K-12 learning, but not in higher education (Fenton 2017; Hill 2018). In the current…
Descriptors: Integrated Learning Systems, Educational Technology, Higher Education, Blended Learning
Ifenthaler, Dirk; Egloffstein, Marc – TechTrends: Linking Research and Practice to Improve Learning, 2020
The adoption and integration of digital technology in organizations are crucial not only for communication, administration and management, but also a meaningful asset to support learning and teaching as well as organizational change. However, existing models of educational technology adoption and integration predominantly focus on school settings…
Descriptors: Technology Integration, Adoption (Ideas), Models, Computer Attitudes
Alamri, Hamdan A.; Watson, Sunnie; Watson, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Blended Learning
Sarrab, Mohamed; Al-Shihi, Hafedh; Al-Manthari, Bader; Bourdoucen, Hadj – TechTrends: Linking Research and Practice to Improve Learning, 2018
Mobile learning (M-learning) is a learning paradigm that utilizes the advantages of mobility and wireless technologies in the learning and education process. It can be characterized by the ability to support and provide strong interaction between learners and instructors, offering high levels of learning motivation, collaboration, and flexibility…
Descriptors: Handheld Devices, Telecommunications, Educational Technology, Technology Uses in Education
Ennis-Cole, Demetria L.; Cullum, Princess M.; Iwundu, Chukwuka – TechTrends: Linking Research and Practice to Improve Learning, 2018
Reforming healthcare has been a priority in the United States for many years. A major part of that reform has been an expansion in the role and duties of physicians to include more management and leadership within the organization. This type of reform requires innovative changes in health science education programs. Traditionally, physician…
Descriptors: Physicians, Role, Leadership Responsibility, Models
Kimmons, Royce; Hall, Cassidy – TechTrends: Linking Research and Practice to Improve Learning, 2018
We report on a survey of K-12 teachers and teacher candidates wherein participants evaluated known models (e.g., TPACK, SAMR, RAT, TIP) and provided insight on what makes a model valuable for them in the classroom. Results indicated that: (1) technology integration should be coupled with good theory to be effective, (2) classroom experience did…
Descriptors: Elementary School Teachers, Preservice Teachers, Technological Literacy, Pedagogical Content Knowledge
Lochner, Bianca; Conrad, Rita-Marie; Graham, Edward – TechTrends: Linking Research and Practice to Improve Learning, 2015
This study examined the concerns of U.S. secondary teachers regarding the adoption of learning management systems (LMSs) utilizing the concerns-based adoption model (CBAM). The stages of concern questionnaire used enabled the strength of teacher concerns to be measured for seven distinct stages of concerns: awareness, informational, personal,…
Descriptors: Secondary School Teachers, Database Management Systems, Adoption (Ideas), Models