Work

Affordances of Augmented Reality in Science Learning: Suggestions for Future Research

Year: 2012

Type: article

Source: Journal of Science Education and Technology

DOI: 10.1007/s10956-012-9405-9

Authors: Kun-Hung Cheng, Chin-Chung Tsai

Institutions: National Yang Ming Chiao Tung University, National Taiwan University of Science and Technology

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

Funder: National Science Council

OpenAlex ID: W1978206223

FWCI: 14.21

Cites: 49

Cited by: 976

Related to: 10