虚拟现实
计算机科学
人机交互
认知
适应性学习
多媒体
考试(生物学)
教学设计
领域(数学分析)
观念转变
教育技术
概念学习
概念模型
国际商用机器公司
化学教育
科学教育
模式(计算机接口)
计算机辅助教学
虚拟机
教学模拟
概念框架
存在感
利克特量表
心理学
计算机化自适应测验
教学方法
协方差分析
可扩展性
作者
Lei Cao,Kien Tsong Chau,Wan Ahmad Jaafar Wan Yahaya
标识
DOI:10.1177/07356331261456118
摘要
Virtual chemistry laboratories support access and safety, but conventional virtual environments often provide limited adaptive instructional support during practical tasks. The Adaptive Conversational Virtual Reality Laboratory (ACVRL) was developed to integrate high-fidelity chemistry simulation, adaptive scaffolding, and conversational artificial intelligence into a unified instructional system. The present study examined the effects of adaptive and conversational mechanisms on learners’ conceptual understanding, perceived usefulness, and sense of presence in virtual education chemistry. The study uses a quasi-experimental design with stratified random assignment within each of three universities (N = 160). Data collection uses a chemistry conceptual test (pretest and post-test), the Perceived Usefulness Scales, and the Igroup Presence Questionnaire. The study uses ANCOVA and independent-samples t tests in IBM SPSS Statistics. The results show a significant effect of learning mode on conceptual understanding after control for pretest performance, with higher adjusted post-test scores in the ACVRL condition than in the CVRL condition. The results also show higher perceived usefulness and a significant difference in experienced realism within the presence domain for the ACVRL condition. These findings indicate that adaptive conversational interaction enhances both cognitive and affective learning dimensions in virtual laboratories. This transformation advances the development of scalable and pedagogically adaptive models.
科研通智能强力驱动
Strongly Powered by AbleSci AI