The purpose of this study was to investigate the relationship among Taiwanese high school students’ learning style, sense of presence, cognitive load, and affective and cognitive learning outcomes in an immersive virtual reality-based learning environment. This study used a teaching experiment intervention method. Seventy-seven students participated in the virtual reality-based learning environment and completed related scales and a test. This study found that although the students’ learning style does not influence learning outcomes, it may influence the subjective sense of presence and cognitive load in the learning process. Regarding the affective learning outcome, involvement/immersion, sensory fidelity, and mental effort are positive predictors. In addition, involvement/immersion, interface quality, mental load, and mental effort are negative predictors of cognitive learning outcomes. The conclusion from this study is that students with some learning style preferences must bear a greater cognitive load to achieve the same learning outcomes as other students. This study also points out that the components of sense of presence and cognitive load generate inconsistent predictive effects on affective and cognitive learning outcomes, respectively. Therefore, it is important to deeply explore the influence of sense of presence and cognitive load structure on learning in virtual environments.

Luminosity and correlated color temperature (CCT) have gradually become two of the most important factors in the evaluation of the performance of light sources. However, although most color performance evaluation metrics are highly correlated with CCT, these metrics often do not account for light sources with different CCTs. This paper proposes the existence of a relationship between luminosity and CCT to remove the effects of CCT and to allow for a fairer judgment of light sources under the current color performance evaluation metrics. This paper utilizes the Hyper-Spectral Imaging (HSI) technique to recreate images of a standard color checker under different luminosities, CCT, and light sources. The images are then analyzed and transformed into interpolation figures and equal color difference curves. This paper utilizes statistic tools and symmetry properties to determine an exponential relationship between luminosity and CCT in red-green-blue (RGB) LED and OLED light sources. Such a relationship presents an option to remove the effects of CCT in color evaluation standards, as well as provide a guide line for adjusting visual experience solely by adjusting luminosity when creating a lighting system.