Publication Date
| In 2025 | 2 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 5 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| Australasian Journal of… | 1 |
| Biomedical Engineering… | 1 |
| Educational Process:… | 1 |
| IEEE Transactions on Education | 1 |
| International Journal of… | 1 |
| Journal of Learning… | 1 |
Author
| Alario-Hoyos, Carlos | 1 |
| Behrend, Tara S. | 1 |
| Bo Liu | 1 |
| Delgado Kloos, Carlos | 1 |
| Eileen Haase | 1 |
| George Amarantidis | 1 |
| González-Castro, Nuria | 1 |
| Jerry Zhang | 1 |
| Kaitlyn Storm | 1 |
| Lina Al-Abbas | 1 |
| Mari Cruz Garcia Vallejo | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
| Information Analyses | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Elementary Education | 1 |
| Grade 7 | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
| Teachers | 1 |
Location
| Spain | 1 |
| United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textMari Cruz Garcia Vallejo – Journal of Learning Development in Higher Education, 2024
This case study summarised the findings from the first academic presentation of the module 'Cómo entrenar tu dragon (How to train your dragon)', which is part of the development and training programme offered by the Universidad de Las Palmas de Gran Canaria to new and experienced teaching staff. The module aims to equip participants with a…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, Faculty Development
Direct linkYijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
Waleed Nawafleh; Lina Al-Abbas – Educational Process: International Journal, 2025
Background/purpose: This study aimed to investigate the effectiveness of a computerized instructional module based on artificial intelligence in acquiring scientific concepts and developing critical thinking among seventh-grade female students. Materials/methods: To achieve the study's objectives, an AI-based computerized instructional module was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Science Instruction
Kaitlyn Storm; Jerry Zhang; Eileen Haase – Biomedical Engineering Education, 2022
Our first year biomedical engineering course exposes students to multiple engineering and design techniques within an overarching theme of understanding health inequity. Currently, the semester-long curriculum excludes computational methods such as Python programming and Machine Learning, which are usually not introduced until more advanced BME…
Descriptors: Artificial Intelligence, Programming Languages, Learning Modules, Introductory Courses
González-Castro, Nuria; Muñoz-Merino, Pedro J.; Alario-Hoyos, Carlos; Delgado Kloos, Carlos – Australasian Journal of Educational Technology, 2021
Massive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that…
Descriptors: Online Courses, Learning Modules, Computer Science Education, Programming
Behrend, Tara S.; Thompson, Lori Foster – International Journal of Training and Development, 2012
Animated agents have the potential to increase engagement and learning during online training by acting as personalized tutors. However, little is known about the conditions that make these agents most effective. In this study, 183 e-learners completed a Microsoft Excel training course. Approximately half were assigned an agent with predetermined…
Descriptors: Computer Assisted Instruction, Self Efficacy, Learner Controlled Instruction, Feedback (Response)
