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Xiaotong Yu; María Ángeles Gutiérrez-García; Roberto Soto-Varela; Melchor Gómez-García – Contemporary Educational Technology, 2025
Robotics education and robot-embedded learning have become focal points in recent interdisciplinary and innovative education. Despite the identified opportunities, there are still limitations and considerations before integrating educational robotics into foreign language education on a large scale. This survey investigates foreign language…
Descriptors: Language Teachers, Teacher Attitudes, Educational Technology, Robotics
Andersen, Bjarke Lindsø; Jørnø, Rasmus Leth; Nortvig, Anne-Mette – Contemporary Educational Technology, 2022
Background: Adaptive and personalized learning technologies are on the rise in health education. However, to reach the potential of these technological innovations, novel learning designs are necessary, which take new possibilities and constraints into account. Aim: In this scoping review we answer the question: What characterizes learning designs…
Descriptors: Blended Learning, Educational Technology, Nursing Education, Literature Reviews
Ishant Singhal; Guru Ratan Satsangee; Lakshya Bhardwaj; Gaurang S. Sharma; Anand Swarup Chandrakar; Hritav Gupta; Gargi Malik; Bobby Tyagi; Ankit Sahai; Rahul Swarup Sharma – IEEE Transactions on Learning Technologies, 2024
3D-printing (3DP) is a rapidly evolving sector and is advancing at an unmatched pace. Integrating digital-based approaches to disseminate knowledge within institutional curricula is crucial for mainstreaming knowledge. This work explores the development of a virtual lab (VL) for additive manufacturing (AM), using an interactive VL simulator. The…
Descriptors: Computer Peripherals, Printing, Laboratories, Computer Simulation
Bikram Kumar Singh – ProQuest LLC, 2023
The purpose of this dissertation was to understand and compare the effect of training non-native English Speaking (NNES) learners (N = 480) in two distinct learning environments, (i) traditional face-to-face and (ii) online synchronous hybrid learning (SHL). In the traditional training mode, NNES learners (n = 360) were trained by NNES voice and…
Descriptors: English Language Learners, Blended Learning, Computer Assisted Instruction, Educational Technology
Sun, Xiaorui – TESOL Journal, 2022
The TESOL Technology Standards were developed for language teachers to better understand how to use technology appropriately. This article explores the following questions: (1) After 10 years since its publication, are the TESOL Technology Standards for Language Teachers (2011) still applicable to the current educational context? and (2) What…
Descriptors: English (Second Language), Language Teachers, Academic Standards, Educational Technology
Siska Wati Dewi Purba; Bertha Natalina Silitonga; John Jackson Yang – Turkish Online Journal of Distance Education, 2025
The rapid advancement of artificial intelligence (AI) is pervasive across numerous fields, including education. However, previous literature reviews have not thoroughly examined the current trends in research design pertaining to AI-assisted learning, nor have they sufficiently addressed the roles of AI applications and teachers within this…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Educational Trends
Kaushal Kumar Bhagat; Tianchong Wang; Nitesh Kumar Jha; Georgios Lampropoulos – Australasian Journal of Educational Technology, 2025
The integration of immersive technologies, such as 360-degree virtual reality (VR) in education presents a promising avenue for enhancing teaching and learning. However, educators often face challenges due to limited technical expertise and resource constraints. This study examined the usability and readiness of educators in adopting the 360 VR…
Descriptors: Computer Simulation, Computer Uses in Education, Technology Integration, Educational Technology
Basil Azubuike Akuegwu; Mercy Nkiruka Godwin Akeke; Garieth Omorobi Omorobi; Chika Christiana Uchendu – Journal of Education and e-Learning Research, 2024
This study investigates the level of preparedness among tertiary institutions for adopting e-learning as a mode of instruction in Cross River State, Nigeria. This study investigated institutional preparedness to adopt e-learning mode instruction based on the following indices: availability and accessibility of e-learning facilities, staff…
Descriptors: Foreign Countries, Electronic Learning, Technology Uses in Education, Technology Integration
Dennis Alonzo; Val Quimno; Geraldine Townend; Cherry Zin Oo – Educational Assessment, Evaluation and Accountability, 2024
The use of information and communication technology-based data systems to support teachers in data-driven decision-making (DDDM) remains limited. Despite the growing number of data systems available, their uptake remains limited, and there is a limited understanding of what data system characteristics increase and factors that influence teacher…
Descriptors: Teachers, Information Technology, Computer Mediated Communication, Computer Assisted Instruction
Raffaele Di Fuccio; Joanna Kic-Drgas; Joanna Wozniak – Smart Learning Environments, 2024
This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…
Descriptors: Computer Simulation, Computer Oriented Programs, Second Language Learning, Cultural Awareness
Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
Jordan Hudson; Laura Rasmussen Foster; Michelle Tolbert; Brian Walsh – Office of Career, Technical, and Adult Education, US Department of Education, 2022
This resource is designed to help education and corrections leaders understand key issues in adopting and integrating technology to support instruction in jails and prisons. It describes the components of a state correctional education technology ecosystem (the who, what, why, and how of technology use), profiles four state ecosystems, and…
Descriptors: Correctional Education, Correctional Rehabilitation, Technology Integration, Technology Planning
Li, Yanyan; Zhang, Muhua; Su, You; Bao, Haogang; Xing, Shuang – Educational Technology Research and Development, 2022
Learning analytics dashboards have been developed to facilitate teacher guidance in computer-supported collaborative learning (CSCL). As yet, little is known about how teachers interpret dashboard information to facilitate guidance in their teaching practice. This study examined teachers' behavior patterns in interpreting information from…
Descriptors: Teacher Behavior, Teacher Attitudes, Educational Technology, Guidance
Tyson, Matthew Mark; Sauers, Nicholas J. – Journal of Educational Administration, 2021
Purpose: The purpose of this study is to examine school leaders' experiences with adoption and implementation of artificial intelligence systems in their schools. It examined the factors that led educational administrators to adopt one artificial intelligence program (ALEKS) and their perceptions around the implementation process.…
Descriptors: Principals, Administrator Attitudes, Technology Integration, Artificial Intelligence
Jasmin Breitwieser; Andreas B. Neubauer; Florian Schmiedek; Garvin Brod – npj Science of Learning, 2024
Mobile devices are ubiquitous, but their potential for adaptive educational interventions remains largely untapped. We identify three key promises of mobile interventions for educational research and practice: 1) intervening when it is most beneficial (i.e., "just-in-time adaptivity"), 2) estimating causal effects of interventions in…
Descriptors: Students, Handheld Devices, Computer Assisted Instruction, Educational Technology

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