Publication Date
| In 2025 | 1 |
| Since 2024 | 2 |
Descriptor
| COVID-19 | 2 |
| Error Patterns | 2 |
| Pandemics | 2 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Attention | 1 |
| Cognitive Processes | 1 |
| Computer Simulation | 1 |
| Conflict | 1 |
| Difficulty Level | 1 |
| Distance Education | 1 |
| More ▼ | |
Author
| Doga Demirel | 1 |
| Erick J. Fedorenko | 1 |
| Jake A. Rattigan | 1 |
| Kyle T. Brennan | 1 |
| Patrick V. Barnwell | 1 |
| Richard J. Contrada | 1 |
| Sinan Kockara | 1 |
| Tansel Halic | 1 |
| Yasar C. Kakdas | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkPatrick V. Barnwell; Jake A. Rattigan; Kyle T. Brennan; Erick J. Fedorenko; Richard J. Contrada – Journal of American College Health, 2025
Objectives: To examine college students' conflicting COVID-19 information exposure, information-seeking, concern, and cognitive functioning. Participants: 179 undergraduates were recruited in March-April 2020, and 220 in September 2020 (Samples 1 and 2, respectively). Methods: Students completed the Attention Network Test, NASA Task Load Index,…
Descriptors: COVID-19, Pandemics, Undergraduate Students, Information Seeking
Yasar C. Kakdas; Sinan Kockara; Tansel Halic; Doga Demirel – IEEE Transactions on Learning Technologies, 2024
This article presents a 3-D medical simulation that employs reinforcement learning (RL) and interactive RL (IRL) to teach and assess the procedure of donning and doffing personal protective equipment (PPE). The simulation is motivated by the need for effective, safe, and remote training techniques in medicine, particularly in light of the COVID-19…
Descriptors: Medical Education, Error Patterns, Error Correction, Reinforcement
