Meta-analysis dataset with sufficient statistics: A dataset of articles, studies and effects from haptics research
Dataset Description |
One of the newest types of multimedia involves body-connected interfaces, usually termed haptics. Haptics may use stylus-based tactile interfaces, glove-based systems, handheld controllers, balance boards, or other custom-designed body-computer interfaces. How well do these interfaces help students learn Science, Technology, Engineering, and Mathematics (STEM)? We conducted an updated review of learning STEM with haptics, applying meta-analytic techniques to 21 published articles reporting on 53 effects for factual, inferential, procedural, and transfer STEM learning. This deposit includes the data extracted from those articles and comprises the raw data used in the meta-analytic analyses. |
Subject |
Social Sciences |
Keywords |
Computer-based learning; haptic interfaces; meta-analysis |
License |
CC BY |
Funder |
U.S. National Science Foundation (NSF)-Grant: NSF award #1661231 |
Corresponding Creator |
Jennifer Cromley |
Downloaded |
300 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-6975302_V1 | 2022-10-04 |
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