Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Artificial Intelligence | 5 |
Computer Peripherals | 5 |
Computer Simulation | 4 |
Data Science | 2 |
Foreign Countries | 2 |
Adult Learning | 1 |
Algorithms | 1 |
Audiovisual Aids | 1 |
Career Readiness | 1 |
Cognitive Processes | 1 |
College Students | 1 |
More ▼ |
Source
Digital Education Review | 1 |
Education and Computing | 1 |
Interactive Learning… | 1 |
International Journal of… | 1 |
Journal of Applied Research… | 1 |
Author
Auer, Elena M. | 1 |
Azzah Al-Maskari | 1 |
Blaik, Jason | 1 |
Chunhui Jing | 1 |
Dandan Du | 1 |
Dongyu Yu | 1 |
Jinyi Zhi | 1 |
Kaidi Yu | 1 |
Landers, Richard N. | 1 |
Marin, Sebastian | 1 |
Mersy, Gabriel | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 3 |
Guides - Classroom - Teacher | 1 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Adult Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Administrators | 1 |
Policymakers | 1 |
Practitioners | 1 |
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Landers, Richard N.; Auer, Elena M.; Mersy, Gabriel; Marin, Sebastian; Blaik, Jason – International Journal of Testing, 2022
Assessment trace data, such as mouse positions and their timing, offer interesting and provocative reflections of individual differences yet are currently underutilized by testing professionals. In this article, we present a 10-step procedure to maximize the probability that a trace data modeling project will be successful: (1) grounding the…
Descriptors: Artificial Intelligence, Data Collection, Psychometrics, Data Science
Dongyu Yu; Xing Yao; Kaidi Yu; Dandan Du; Jinyi Zhi; Chunhui Jing – Interactive Learning Environments, 2024
The objective of this study was to determine the differential effects of the presentation position of the augmented reality--head worn display (AR-HWD) interface and the audiovisual-dominant multimodal learning material on learning performance and cognitive load across different learning tasks in training for high-speed train driving. We selected…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Peripherals, Computer Interfaces
Azzah Al-Maskari; Thuraya Al Riyami; Sami Ghnimi – Journal of Applied Research in Higher Education, 2024
Purpose: Knowing the students' readiness for the fourth industrial revolution (4IR) is essential to producing competent, knowledgeable and skilled graduates who can contribute to the skilled workforce in the country. This will assist the Higher Education Institutions (HEIs) to ensure that their graduates own skill sets needed to work in the 4IR…
Descriptors: Career Readiness, Technological Literacy, Student Attitudes, Information Technology
Vásquez-Carbonell, Mauricio – Digital Education Review, 2022
Augmented Reality (AR) is a technology that has benefited from the massification of computational devices, putting it in the focus of researchers as a novel teaching aid in engineering. For this very reason, a great amount of information about AR in engineering education is emerging constantly. To synthesize the information, a Systematic…
Descriptors: Computer Software, Computer Simulation, Artificial Intelligence, Engineering Education

Parmentier, Christophe – Education and Computing, 1988
Discusses computer science developments in French primary schools and describes strategies for using computers in the classroom most efficiently. Highlights include the use of computer networks; software; artificial intelligence and expert systems; computer-assisted learning (CAL) and intelligent CAL; computer peripherals; simulation; and teaching…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Literacy, Computer Networks