The concept of low carbon education is one solution to provide knowledge to students related to low carbon behavior. The purpose of this paper is providing an extensive bibliometric literature review on 'low carbon education'. Articles found by Publishing or Perish (PoP) software with the Google Scholar database. There were 55 out of 97 articles found from Google Scholar data base ranging from 2014 to 2019 analyzed in this study. The chosen references were then managed using a referencing manager software namely Zotero. After managing the database, this study classified and visualized it using VOSviewer software. Overall, this review provides an appropriate reference point for further research on 'low carbon education'.

The Arduino microcontroller enables ordinary people to perform professional tasks that only traditional engineering professionals could perform. Recently, several educational cases have been applied to primary and secondary schools, which is a desirable attempt to popularize engineering education. This study meta-analyzed the effects of Arduino-based education in primary and secondary schools in Korea from the perspective of engineering education. Accordingly, 16 academic journals and dissertations were selected that verified educational effects by Arduino-based education to primary and secondary students in Korea, and 31 effect sizes were confirmed. According to the results of this study, the overall average effect size was 0.656, which confirmed that Arduino-based education had a positive educational effect. Furthermore, this study calculated the effect size as measured by categorical and continuous variables such as school level, the inclusion of curriculum, giftedness, publication status, the programming language used, publication year, number of sessions, and number of students. Implications were suggested from the perspective of engineering education. This study is meaningful because it suggests the application of Arduino to primary and secondary schools in engineering education by confirming the positive educational effect of Arduino-based education.

This study aims to develop and validate a green behavior instrument based on local potential using structural equation modeling (SEM) with smart partial least squares (SmartPLS). The instrument consists of 40 statements covering five main indicators: environmental maintenance, waste reduction, saving natural resources, sustainable mobility and consumption, and community education. This study addresses a gap in existing research by creating a context-specific tool for assessing green behavior, incorporating local cultural and ecological factors. While prior studies emphasize global sustainability principles, they often overlook the significance of local practices and values, which are essential for effective environmental education. By integrating local potential, this instrument bridges global sustainability goals with regional contexts, enabling meaningful and practical student engagement. The instrument was validated through content validity testing, exploratory and confirmatory factor analyses, and construct validity and reliability testing using SEM with SmartPLS. The results indicate strong content validity, with content validity index (CVI) values ranging from .80 to .90. After analysis, 34 valid items were retained from the initial 40. This study contributes to the literature by developing an instrument that aligns with global sustainability goals while integrating local cultural practices and ecological contexts. It offers insights into how local knowledge enhances sustainability education, providing a holistic framework for assessing green behavior across diverse regions.