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Ion Razvan Radulescu; Antonio Dinis; Benny Malengier; Andrej Cupar; Mirela Blaga; Radek Polansky – International Association for Development of the Information Society, 2022
Industry 4.0 and digitization are nowadays important trends in the textile industry. The need for well-prepared professionals in software for the design and modelling of textile products requires the creation of up-to-date educational resources. Virtual learning supported by e-learning offers the instruments to continue education during pandemic…
Descriptors: Foreign Countries, Online Courses, Computer Software, Design
Tamara Lynn; Shantel Farnan; Jessica A. Rueter; Adam Moore – Journal of Special Education Preparation, 2022
Small special education programs (SSEPs) are composed of limited faculty tasked with educating interns dispersed across large geographical areas (Reid, 1994). These needs underscore a call for more flexible educational program options. Moreover, Kebritchi et al. (2017) found professors in higher education institutions sought a variety of…
Descriptors: Field Experience Programs, Models, Coaching (Performance), Feedback (Response)
Yalcinalp, Serpil; Avci, Ümmühan – Turkish Online Journal of Educational Technology - TOJET, 2019
In order to effectively use emerging digital educational technologies educators should reflect on how these technologies influence student learning, including student creativity. Existing research shows that creativity can be supported by emerging technologies, but recent research in this area has not yet been reviewed. The purpose of our…
Descriptors: Creativity, Educational Technology, Curriculum Development, Technological Advancement
Squires, David R. – Journal of Educational Technology, 2019
This study details the second iterative data collection cycle of an Augmented Reality mobile application platform for three months at an Art Museum in the Southern United States. Data was collected utilizing a mobile Augmented Reality application implementation within the informal learning environment. The immersive experience campaign tracked…
Descriptors: Learning Experience, Technology Uses in Education, Educational Technology, Physical Environment
Fernandes, Jacks; Teles, Ariel; Teixeira, Silmar – Education Sciences, 2020
Health education is one of the knowledge areas in which augmented reality (AR) technology is widespread, and it has been considered as a facilitator of the learning process. In literature, there are still few studies detailing the role of mobile AR in neuroanatomy. Specifically, for the spinal cord, the teaching-learning process may be hindered…
Descriptors: Health Education, Computer Simulation, Telecommunications, Handheld Devices
Billingsley, Berry; Robinson, Nicola; Campbell, Robert; Thompson, Stephen – School Science Review, 2020
What is the future for school science and in particular for practical work? This article explores the question from four perspectives and seeks solutions for different age groups in the UK and beyond.
Descriptors: Foreign Countries, Science Education, Educational Trends, Futures (of Society)
Zhang, Hai; Yu, Luyao; Ji, Mengxue; Cui, Yulu; Liu, Dongping; Li, Yan; Liu, Haiqiao; Wang, Yining – Interactive Learning Environments, 2020
Recently, Virtual Reality (VR) has developed rapidly. Some studies propose that VR has a great deal of potential as an instructional media for learning, while other studies indicate that VR may be ineffective or even negatively influence learners' learning experience. Few studies provide reference to educators or teachers based on empirical data.…
Descriptors: Foreign Countries, High School Students, Student Attitudes, Electronic Learning
Kathleen Michelle Ross – ProQuest LLC, 2020
Online learning has grown rapidly over the past decade in higher education. In 2019, 2.8 million higher education students were learning online, a 129.1% growth from 2018 (Straut & Boeke, 2020). Technology allows students from all over the world to learn, which has aided in the enrollment growth of online learning. Technological innovations…
Descriptors: Student Experience, Computer Simulation, Electronic Learning, Higher Education
Gil, Einat, Ed.; Mor, Yishay, Ed.; Dimitriadis, Yannis, Ed.; Köppe, Christian, Ed. – Understanding Teaching-Learning Practice, 2022
As we have come to accept the duality of physical and virtual learning spaces as a permanent feature of our educational landscape, we begin to question its validity. Is this really a dichotomy, or is it a continuum? Should this be the primary dimension around which we cluster educational experiences -- how does it intersect and interact with other…
Descriptors: Blended Learning, Educational Technology, Electronic Learning, Higher Education
Santoianni, Flavia; Ciasullo, Alessandro – Research on Education and Media, 2018
Adaptive learning environments design has been originally influenced by the adaptive learning environments model, which has been recently re-shaped by the bio-educational adaptive approach. Adaptive and bio-educational models share the common main idea that education should be adaptive. Since the 90's the adoption of an adaptive educational point…
Descriptors: Instructional Design, Hypermedia, Computer Uses in Education, Computer Simulation
Rodman, Lisa; Trespalacios, Jesús – TechTrends: Linking Research and Practice to Improve Learning, 2018
Virtual communities of Practice (VCoP) offer a flexible option for professional development that may be employed by geographically dispersed communities. Due to unique and dynamic operational demands and a reduced training budget, the United States Coast Guard's (USCG) afloat community has limited opportunity for formal professional development,…
Descriptors: Information Networks, Military Service, Communities of Practice, Faculty Development
Gautam, Dipesh; Maharjan, Nabin; Graesser, Arthur C.; Rus, Vasile – International Educational Data Mining Society, 2018
This work is a step towards full automation of auto-mentoring processes in multi-player online environments such as virtual internships. We focus on automatically identifying speaker's intentions, i.e. the speech acts of chat utterances, in such virtual internships. Particularly, we explore several machine learning methods to categorize speech…
Descriptors: Speech Acts, Classification, Automation, Synchronous Communication
Joan, D. R. Robert – Journal of Educational Technology, 2015
In this article, the author has discussed about the Mobile Augmented Reality and enhancing education through it. The aim of the present study was to give some general information about mobile augmented reality which helps to boost education. Purpose of the current study reveals the mobile networks which are used in the institution campus as well…
Descriptors: Computer Simulation, Electronic Learning, Handheld Devices, Universities
Rosmansyah, Yusep; Achiruzaman, Mohamad; Hardi, Ariq Bani – Journal of Information Technology Education: Research, 2019
Aim/Purpose: This research proposed a 3D multiuser virtual learning environment (3DMUVLE) educational game design framework by combining ATMSG, ADDIE, E-Simulation, and 3D Open Simulator Technology Architecture. This paper focused on a case study of online training for food crops productivity data surveys. Background: The conventional online…
Descriptors: Virtual Classrooms, Educational Games, Computer Simulation, Data Collection
Xiao-Fan Lin; Juan Jiang; Guoyu Luo; Xiyu Huang; Wenyi Li; Jiayan Zou; Zhaoyang Wang; Qintai Hu – Educational Technology & Society, 2023
Mitigating the digital divide is essential for the sustainable development of education. To provide distance access which ensures equality in education for both urban and rural students, online learning has been emphasized in the post COVID-19 period. However, some challenges to total online learning have been described, such as isolation and the…
Descriptors: Rural Urban Differences, Digital Literacy, Access to Education, Distance Education