The research was conducted at one of the universities in Banten. Even semester, a sample of all students majoring in mathematics education, which totaled 88 students, was taken. The data collection approach involves learning style questionnaires, geometric thinking skills exams, and interviews, and the research method is qualitative. Qualitative data analysis follows a three-stage flow model: data reduction, data presentation and conclusion, and verification. The research problems are: 1) how students learn during online learning, and 2) how students' geometry thinking (...) skills are reviewed from their learning style. The results of the study concluded that students more have auditorial learning style during online learning. Then based on the ability to think geometry, students are seen from the mastery of fundamental geometry skill indicators and reviewed from their learning style. Known students with visual learning styles master visual indicators and drawing but lack master verbal, logical, and applied indicators. Furthermore, students with an auditorial learning style show mastery of logic and applied indicators but lack mastering visual, verbal, and drawing indicators. Students with kinesthetic learning styles show mastery of drawing and applied indicators but lack mastering visual, verbal, and logic indicators. (shrink)

Policies to promote the usage of energy-saving vehicles, such as electric vehicles and hybrids, were introduced and implemented in many countries due to increasing awareness of the potential benefits of such vehicles on environmental and energy conservation. However, despite consumers’ claims of their concerns and positive attitudes toward environmental issues, those claims have not been translated into energy-saving vehicles’ purchasing behavior. Prior studies neglected the interrelationship between consumer ethnocentrism, perceived value, and consumer knowledge in influencing consumer behavior, including pro-environmental behavior. (...) This study examines the relationship between CE, PV, CK, perceived usefulness, perceived ease of use, attitude and intention to purchase domestic energy-saving vehicles. A total of 396 completed questionnaires were collected through convenience sampling in Xuzhou, China. The survey data were subjected to descriptive analysis and analysis of variance using SPSS. In addition, confirmatory factor analysis and structural equation modeling were utilized for the hypotheses testing. The results revealed that CE positively influenced PV and CK; PV and CK positively influenced PU and PEU. CK positively influenced PV, while PU and PEU positively influenced attitude and intention, and PEU was shown to influence PU. Furthermore, attitude was shown to significantly influence intention to purchase domestic energy-saving vehicles. Lastly, the theoretical and practical implications of the outcomes were discussed, including the limitations of the research. (shrink)