Who benefits from learning with 3D models? the case of spatial ability
By Thomas Huk. Journal of Computer Assisted Learning, 2006
364 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Automotive Engineering, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/978be75d67b52cfe8844866725a488a8a6d47606
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Automotive Engineering
- K. Wong
- Kate M. Xu
- Alexander Skulmowski
- Elinda Ai-Lim Lee
- Guido Makransky
- Lau Lilleholt
- Richard E. Mayer
In Experimental and Cognitive Psychology
- K. Wong
- Kate M. Xu
- Alexander Skulmowski
- Elinda Ai-Lim Lee
- Guido Makransky
- Lau Lilleholt
- Richard E. Mayer
Citations in the corpus
- Learning with desktop virtual reality: Low spatial ability learners are more positively affected (2014, background): “D animation or simulations (Höffler & Leutner, 2011; Huk, 2006) which depends on their ability to extract relevant information and then to reconstruct or incorporate the information into their existing mental models.”
- Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load (2021, background): “…“ disassembly ” of visualizations more challenging (e.g., Berney et al., 2015; Skulmowski & Rey, 2018b), at least for learners with low spatial abilities (e.g., Huk, 2006), the standard CLT approach would be to avoid realism in favor of more simplified visualizations (Renkl & Scheiter, 2017).”