Publication Date
| In 2026 | 0 |
| Since 2025 | 41 |
| Since 2022 (last 5 years) | 232 |
| Since 2017 (last 10 years) | 555 |
| Since 2007 (last 20 years) | 2864 |
Descriptor
| Computer Assisted Instruction | 7363 |
| Educational Technology | 7363 |
| Teaching Methods | 1965 |
| Foreign Countries | 1687 |
| Higher Education | 1407 |
| Computer Software | 1157 |
| Instructional Effectiveness | 1138 |
| Instructional Design | 1125 |
| Elementary Secondary Education | 1111 |
| Computer Uses in Education | 1012 |
| Technology Integration | 987 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 495 |
| Teachers | 347 |
| Researchers | 102 |
| Policymakers | 76 |
| Administrators | 75 |
| Students | 33 |
| Media Staff | 14 |
| Parents | 9 |
| Community | 1 |
| Counselors | 1 |
| Support Staff | 1 |
| More ▼ | |
Location
| Australia | 180 |
| United Kingdom | 178 |
| Canada | 134 |
| Taiwan | 109 |
| Turkey | 105 |
| California | 67 |
| United States | 62 |
| China | 52 |
| Japan | 50 |
| Netherlands | 46 |
| Singapore | 46 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 8 |
| Meets WWC Standards with or without Reservations | 12 |
| Does not meet standards | 6 |
Mi Kyung Cho; Seyoung Kim – International Electronic Journal of Mathematics Education, 2025
This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…
Descriptors: Mathematics Education, Artificial Intelligence, Individualized Instruction, Educational Technology
Simon Kitto; H. L. Michelle Chiang; Olivia Ng; Jennifer Cleland – Advances in Health Sciences Education, 2025
There is a long-standing lack of learner satisfaction with quality and quantity of feedback in health professions education (HPE) and training. To address this, university and training programmes are increasingly using technological advancements and data analytic tools to provide feedback. One such educational technology is the Learning Analytic…
Descriptors: Feedback (Response), Learning Analytics, Educational Technology, Allied Health Occupations Education
Dana Opre; Camelia ?erban; Andreea Ve?can; Romi?a Iucu – Active Learning in Higher Education, 2024
In recent years, the use of information technology to promote active learning in higher education has raised great interest. Teachers are continuously challenged to identify new research-informed approaches and educational practices for supporting students to actively learn and apply their knowledge. The present study tests the effects on…
Descriptors: Active Learning, Computer Assisted Instruction, Educational Technology, Outcomes of Education
Neelam Bansal; Mala Tandon; Himangshu Das – Journal of Applied Research in Higher Education, 2024
Purpose: The main purpose of the study to identify the importance of computer devices in vocational studies for person with disabilities (PwDs) are as follows: This study aims to observe the role of computer training in vocational training of a PwD. This study plays an important role in the vocational training of a PwD. With the help of ICT…
Descriptors: Students with Disabilities, Vocational Education, Computer Assisted Instruction, Educational Technology
Doreen Prasse; Mary Webb; Michelle Deschênes; Séverine Parent; Franziska Aeschlimann; Yoshiko Goda; Masanori Yamada; Audrey Raynault – Technology, Knowledge and Learning, 2024
Supporting learners' self-regulated learning (SRL) processes and skills is crucial for effective learning, especially in online learning environments. In recent years, research on SRL and how it can be supported by technology has proliferated, resulting in many systematic reviews. The aims of this umbrella review are to provide orientation in a…
Descriptors: Self Management, Online Courses, Educational Technology, Barriers
Michelle Ronksley-Pavia; Steven Ronksley-Pavia; Chris Bigum – Journal of Advanced Academics, 2025
In many general education classrooms across the world, educators struggle to meet the educational needs of twice-exceptional and multi-exceptional neurodivergent learners, with their confluence of exceptional strengths and exceptional challenges. This article reports the process, findings, and implications of research that implemented a series of…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Twice Exceptional, Gifted Education
Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
Chun-Chun Chang; Gwo-Jen Hwang – Education and Information Technologies, 2024
In vocational education, cultivating students' ability to deal with real cases is a crucial training objective. The BSFE (i.e., Brainstorming, Screening, Formation, Examination) model is a commonly adopted training procedure. Each stage is designed for guiding students to analyze and find solutions to handle real cases. However, as one teacher is…
Descriptors: Vocational Education, Nursing Education, Robotics, Simulation
Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Rattanakul Kongpha; Kanita Hinon; Panita Wannapiroon – International Education Studies, 2025
The model of the HyFlex Learning Ecosystem is with social emotional learning to enhance digital emotional intelligence. The concept is based on the integration of digital learning ecosystems. HyFlex Learning and social emotional learning this research has the objective (1) To study and synthesize the conceptual framework of The HyFlex Learning…
Descriptors: Social Emotional Learning, Emotional Intelligence, Foreign Countries, Computer Assisted Instruction
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
Liping Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
In the evolving landscape of vocal pedagogy, ttehe integration of computer-assisted technologies represents a transformative shift from traditional master-apprentice models. This study investigates the efficacy of computer-assisted vocal training methods compared to conventional approaches, focusing on improvements in pitch accuracy, vocal range…
Descriptors: Computer Assisted Instruction, Singing, Music Education, Educational Technology
Janine Arantes – Learning, Media and Technology, 2024
As a result of the growing commercial marketplace for teachers' digital data, a new organization that includes educational data brokers has evolved. Educational data brokerage is relatively intangible due to the ease of de-identified data being collected and sold via educational technology. There is an urgent need to expose how the brokerage of…
Descriptors: Data Collection, Educational Technology, Commercialization, Privacy
Daniel F. O. Onah; Elaine L. L. Pang; Jane E. Sinclair – Journal of Computing in Higher Education, 2024
Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…
Descriptors: MOOCs, Self Management, Independent Study, Educational Technology
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction

Peer reviewed
Direct link
