How do autonomy and learner characteristics combine to influence learners’ learning outcomes and cognitive load in virtual reality learning environments? A fuzzy-set qualitative comparative analysis approach

被引:0
作者
Jiaxu Liu
Qingtang Liu
Shufan Yu
Jingjing Ma
Mengfan Liu
Linjing Wu
机构
[1] Central China Normal University,Faculty of Artificial Intelligence Education
[2] Central China Normal University,Hubei Research Center for Educational Informationization
[3] Hongxing Experimental School,undefined
来源
Education and Information Technologies | 2024年 / 29卷
关键词
Virtual reality; Immersive virtual learning environment; fsQCA; Autonomy; Cognitive load;
D O I
暂无
中图分类号
学科分类号
摘要
Virtual reality learning environment (VRLE), which allow students to transcend time and space and provide them with a sense of immersion, is becoming more common in education. Although many studies have explored the effects of VRLE on learners’ learning outcomes as well as learning experiences, the results of these studies indicate that the effects of VRLE on learning outcomes and cognitive load are mixed. This is influenced by multiple factors that can be broadly grouped into two categories: learner characteristics and VRLE features. This study aimed to investigate how the autonomy of VRLE and learner characteristics affect learning in the VRLE. 94 volunteered students (aged 18 to 26) were randomly assigned to a high-autonomy VRLE (N = 47) or a low-autonomy VRLE (N = 47). We did a fuzzy-set qualitative comparative analysis (fsQCA) and discovered that VRLE is not good for all students but only for those with particular features. According to the findings, teachers should personalize their use of instructional technology depending on the profiles of their students.
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页码:77 / 101
页数:24
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