Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Affordances | 1 |
| Audio Equipment | 1 |
| Computer Simulation | 1 |
| Data Collection | 1 |
| Electronic Learning | 1 |
| Grade 11 | 1 |
| Handheld Devices | 1 |
| High School Students | 1 |
| Student Attitudes | 1 |
| Validity | 1 |
| Video Technology | 1 |
| More ▼ | |
Source
| International Journal of… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Grade 11 | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkKyza, Elini A.; Yiannis, Georgiou; Souropetsis, Markos; Agesilaou, Andria – International Journal of Mobile and Blended Learning, 2019
Collecting data in a mobile augmented reality (AR) settings is challenging, as participants are dispersed in the physical space and move often; therefore, it is imperative that new techniques are investigated to facilitate richer and more ecologically-valid data collection. This study examined three in vivo techniques for collecting authentic data…
Descriptors: Data Collection, Computer Simulation, Validity, Handheld Devices
