@inproceedings{5d22aabb4d4244389f08c3ae695a155e,
title = "Examining Different Affective Factors in Learning with Virtual Reality",
abstract = "This study aims to examine how prior knowledge and affective factors of virtual reality environments predict science learning achievement through the mediation of learning engagement. Ninety-two sixth-grade students in Taiwan were recruited in this study. Data were analyzed through partial least squares structural equation modeling (PLS-SEM). The results showed that prior knowledge negatively predicted presence and control and active learning. Presence, control and active learning positively predicted learning engagement (behavioral engagement, cognitive engagement, emotional engagement). Cognitive fatigue was found to negatively predict emotional engagement and science learning achievement. Implications and suggestions for future research were addressed in the study.",
keywords = "cognitive fatigue, control and active learning, learning engagement, presence, virtual reality",
author = "Tu, {Hsing Ying} and Lee, {Silvia Wen Yu} and Hsu, {Ting Yueh}",
note = "Publisher Copyright: {\textcopyright} 2023 Asia-Pacific Society for Computers in Education.; 31st International Conference on Computers in Education, ICCE 2023 ; Conference date: 04-12-2023 Through 08-12-2023",
year = "2023",
month = dec,
language = "English",
series = "31st International Conference on Computers in Education, ICCE 2023 - Proceedings",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "437--446",
editor = "Ju-Ling Shih and Akihiro Kashihara and Weiqin Chen and Weiqin Chen and Hiroaki Ogata and Ryan Baker and Ben Chang and Seb Dianati and Jayakrishnan Madathil and Yousef, {Ahmed Mohamed Fahmy} and Yuqin Yang and Hafed Zarzour",
booktitle = "31st International Conference on Computers in Education, ICCE 2023 - Proceedings",
}