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Due to the rapid advancement of technology, environmental sustainability education has gained significant attention. This study aimed to explore the effect of the metaverse on green building concept learning, creative design performance, and learning engagement. This research was conducted with 61 students from a public high school, employing a quasi-experimental design with nonequivalent groups. The experimental teaching theme was green building education, where the experimental group used online metaverse with Minecraft-assisted teaching, while the comparison group used internet images for assistance. Our research results were as follows: 1. The metaverse had a large effect size on the example dimension of concept learning but no significant effect on the linkages, hierarchical structures, or cross-linking terms. 2. The metaverse significantly enhanced creative design performance, including value, usability, novelty, and elaboration. 3. The metaverse had a significant effect on learning engagement, particularly in learning attitudes. [ABSTRACT FROM AUTHOR]

Acceptance sampling plans are divided into attributes and variables, which are used to evaluate the mechanism for determining lot quality. Traditional attribute sampling plans usually choose the Acceptable Quality Level (AQL) for each stage based on experience but need practical guidelines to follow. Previous research endeavors have predominantly centered around statistical perspectives and emphasized the reduction of sample size or sampling frequency while allocating lesser consideration to cost factors and practical applications when formulating sampling decisions. This study proposes a dynamic sampling strategy to minimize costs and estimate AQL values and sample sizes for each stage based on product quality performance to establish a more effective and flexible sampling strategy. The study verifies the scenario in an integrated circuit (IC) testing factory, considering multiple combinations of between-batch quality conditions, within-batch quality conditions, sampling method, and cost ratio, and conducts sampling inspection simulations. When quality changes, the dynamic strategy is activated to adjust AQL. Finally, based on the sampling errors and costs in the inspection results, a comparison is made with the traditional MIL-STD-105E sampling plan, confirming that the dynamic AQL sampling plan has significantly improved performance. [ABSTRACT FROM AUTHOR]