Publication Date
| In 2026 | 0 |
| Since 2025 | 21 |
| Since 2022 (last 5 years) | 68 |
| Since 2017 (last 10 years) | 131 |
| Since 2007 (last 20 years) | 234 |
Descriptor
Source
Author
Publication Type
Education Level
Location
| Turkey | 9 |
| United Kingdom | 8 |
| China | 7 |
| Germany | 7 |
| Japan | 7 |
| Australia | 6 |
| India | 6 |
| Italy | 6 |
| Malaysia | 6 |
| South Africa | 6 |
| Spain | 6 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 2 |
Assessments and Surveys
| Computer Attitude Scale | 1 |
What Works Clearinghouse Rating
Elizabeth A. Sanders; Molly H. Goldstein; Justin L. Hess – International Journal of Technology and Design Education, 2024
Engineers contribute to large-scale socio-technical challenges, and human-centered design offers a design thinking approach that helps engineers develop a thorough understanding of the socio-technical effects of their design work. Thus, effective strategies for assessing and teaching human-centered design are needed. This study aimed to identify…
Descriptors: Course Content, Human Factors Engineering, Student Experience, Instructional Design
Khalid, Mohammad; Akanmu, Abiola; Murzi, Homero; Lee, Sang Won; Awolusi, Ibukun; Manesh, Daniel; Okonkwo, Chinedu – Journal of Civil Engineering Education, 2024
Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects for data-driven solutions to address emerging construction challenges and enhance performance across project life cycles…
Descriptors: Construction Industry, Engineering, Job Skills, Measurement Equipment
Javier Vásquez-Monteros; Yasmany García-Ramírez – International Society for Technology, Education, and Science, 2024
This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated.…
Descriptors: Civil Engineering, Engineering Education, Artificial Intelligence, Technology Integration
Lucas Thadeu Vulcão da Rocha; Lucas Ryu Morotomi Pereira; Reimison Moreira Fernandes; André Cristiano Silva Melo; Dirceu da Silva; Izabela Simon Rampasso; Rosley Anholon; Vitor William Batista Martins – Higher Education, Skills and Work-based Learning, 2025
Purpose: Manufacturing systems have undergone radical changes because of the implementation of physical and digital innovating technologies with high levels of connectivity, interoperability and autonomy. In this regard, the objective of this study was to investigate whether industrial engineers graduated in recent years in Brazil are prepared or…
Descriptors: Manufacturing, Technology Integration, Industrial Education, Engineering
Yidan Liu; Yuhui Jing; Jing Li; Jian Dai; Zhebing Hu; Chengliang Wang – Review of Education, 2025
The integration of artificial intelligence (AI) into engineering education is essential for fostering innovation, strategic thinking and interdisciplinary skills in the intelligent era. On this basis, this study aims to track and visually represent the research outputs associated with AI applications in engineering education, providing insights…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Engineering Education
Attasit Wiangkham; Rattawut Vongvit – Education and Information Technologies, 2024
The rapid development of metaverse technology provides countless opportunities for social interaction, collaboration, communication, and knowledge-sharing that will significantly impact human life. To ensure widespread adoption and acceptance, however, issues concerning approval, accessibility, privacy, and user behavior must be resolved.…
Descriptors: Technology Integration, Computer Simulation, Engineering Education, Models
Thulasi M. Santhi; K. Srinivasan – IEEE Transactions on Learning Technologies, 2024
Cloud adoption in industrial sectors, such as process, manufacturing, health care, and finance, is steadily rising, but as it grows, the risk of targeted cyberattacks has increased. Hence, effectively defending against such attacks necessitates skilled cybersecurity professionals. Traditional human-based cyber-physical education is resource…
Descriptors: Artificial Intelligence, Information Security, Computer Security, Prevention
Thanh Tuan To; Abdullah Al Mahmud; Charlie Ranscombe – European Journal of Engineering Education, 2025
Additive manufacturing (AM) and 3D printing (3DP) offer unique opportunities for experiential learning and practical application in engineering education. In developed countries, AM is integrated into engineering education to train mechanical engineers. However, existing research has not investigated the integration of AM and 3DP into higher…
Descriptors: Foreign Countries, Engineering Education, Teacher Attitudes, Student Attitudes
Caño de las Heras, Simoneta; Kensington-Miller, Barbara; Young, Brent; Gonzalez, Vicente; Krühne, Ulrich; Mansouri, Seyed Soheil; Baroutian, Saeid – Journal of Chemical Education, 2021
Engineering education is facing major challenges as it seeks to provide necessary and robust practical experience for all its undergraduate students. The limitation of resources (capital and operational), the increasing number of engineering students and the need to provide safe, up-to-date laboratory experiences have become global issues.…
Descriptors: Virtual Classrooms, Computer Simulation, Technology Integration, Science Laboratories
Ting-Ting Wu; Edi Sarwono; Yueh-Min Huang – Social Psychology of Education: An International Journal, 2025
Laboratories play a central role in engineering education. Current technology enables virtual experiences that challenge the traditional concept of teaching laboratories for undergraduate engineering students. Integrating technology, such as virtual laboratories, allows students to learn foundational experimental skills; however, it lacks…
Descriptors: Engineering Education, Laboratories, Computer Simulation, Undergraduate Students
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – International Journal of STEM Education, 2025
Background: Technology-enhanced classrooms now integrate a range of educational apps designed to improve student outcomes. The effectiveness of these applications is influenced by multiple factors related to the courses and the applications themselves. A critical factor is student engagement, which involves interacting with the course content…
Descriptors: Natural Language Processing, Handheld Devices, Computer Oriented Programs, Learner Engagement
E. S. Uma Maheswari – Journal on English Language Teaching, 2025
The integration of Information and Communication Technology (ICT) in engineering education has significantly transformed the learning process, particularly in developing technical writing skills. This study investigates how specific ICT tools such as Grammarly, Turnitin, Google Docs, and Moodle enhance technical writing proficiency among…
Descriptors: Technical Writing, Writing Skills, Engineering Education, Educational Technology
Lisa Bosman; Taofeek Oladepo; Ida Ngambeki – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: Upon graduating from university, many engineers will work in new product development and/or technology adoption for continuous improvement and production optimization. These jobs require employees to be cognizant of ethical practices and implications for design. However, little engineering coursework, outside the traditional ABET…
Descriptors: Engineering Education, Ethics, Data, Information Security
Frady, Kristin – European Journal of Engineering Education, 2023
Virtual labs offer the promise of increasing and expanding learning opportunities, yet more needs to be understood about pedagogical implementation in higher education settings particularly within engineering technology (ET), vocational education and training (VET), and related sub-baccalaureate programmes. There is little empirical research on…
Descriptors: Engineering Education, Vocational Education, Postsecondary Education, Technology Integration
K. Venkat Reddy, Editor; G. Suvarna Lakshmi, Editor – Springer, 2024
This book is the result of a collaboration between a human editor and an artificial intelligence algorithm to create a machine-generated literature overview of research articles analyzing importance of critical thinking in Educational Settings. It's a new publication format in which state-of-the-art computer algorithms are applied to select the…
Descriptors: Critical Thinking, Educational Research, Intellectual Disciplines, Business Education

Peer reviewed
Direct link
