Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Descriptor
Courseware | 2 |
Educational Technology | 2 |
Handheld Devices | 2 |
Algorithms | 1 |
Anatomy | 1 |
Artificial Intelligence | 1 |
Automation | 1 |
Brain | 1 |
Classification | 1 |
Computer Oriented Programs | 1 |
Computer Simulation | 1 |
More ▼ |
Author
Daiana-Roxana Pur | 1 |
Ethan P. McNaughton | 1 |
Kanwal Zahoor | 1 |
Lauren K. Allen | 1 |
Liam Bilbie | 1 |
Matea Zuljevic | 1 |
Narmeen Zakaria Bawany | 1 |
Roy Eagleson | 1 |
Sandrine Ribaupierre | 1 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
Ethan P. McNaughton; Liam Bilbie; Matea Zuljevic; Lauren K. Allen; Daiana-Roxana Pur; Roy Eagleson; Sandrine Ribaupierre – Anatomical Sciences Education, 2025
In this article, we introduce a new virtual application that offers an interactive model of the brain for neuroanatomy education. Through a dual-platform architecture, the application can be downloaded on both desktop and mobile devices, with the mobile app leveraging unique capacities of modern handheld systems to deploy the brain model in…
Descriptors: Undergraduate Students, Anatomy, Brain, Science Instruction