The current existence of ChatGPT in education: a double-edged sword?

The authors in this article would like to invite related parties to carry out updates in the world of education, that the existence of ChatGPT can provide new enthusiasm for all of us to improve in a better direction.

'Treasure hunt': Using loose parts media to develop social financial education model for early children.

A globalized world demands every country's citizen to proceed to build a creative economy to adapt to the rapid changes that follow. Therefore, promoting social and financial education should be engaged with children early. However, a learning model available to awaken children's socio-financial capabilities is vividly rare, if not none. Furthermore, the Early Childhood Education Institution is the best place for children to experience social and financial education. This research aims to develop a social financial education model for early childhood. This study employed Research and Development (R&D) in the development process of the educational model. The data were collected through questionnaires and focus group discussions. The data analysis used descriptive quantitative and t-tests to explain the results of field studies, FGD, and trials and to measure the effectiveness of models during experimental and operational trials. In the analysis, the researchers found that the Model Script and Financial Social Education Guide for early childhood using loose parts media were very suitable. Further, the t-test result between the pretest and post-test was 0.924 (92.4%) at α = 0.05. In conclusion, the financial social education model using loose parts of media effectively develops children's social and financial abilities.

Burnout and resilience during the COVID-19 outbreak: differences between male and female students.

This research aims to determine the burnout levels of male and female students on the three subscales of Exhaustion (EX), Cynicism (CY), and Professional Efficacy (PE) and their resilience during the COVID-19 pandemic. This is a non-experimental quantitative, descriptive, and cross-sectional research conducted on students of Riau University. The snowball sampling method was used to obtain data from 131 students consisting of 69 female and 62 male through the distribution of an online questionnaire and analyzed using the independent sample t-test and Pearson Product Moment Correlation. The data distribution showed that burnout on the PE, EX, CY, and resilience is in the high, moderate, and low categories, respectively. The data analysis showed that the burnout variable for the PE and EX indicators in female was higher than for men. Meanwhile, male's CY and resilience indicators were higher than female. This indicates significant differences in burnout and resilience between male and female during the pandemic. The results also showed that there is no correlation between PE and resilience as well as CY and resilience, while EX and resilience show a correlation. This finding shows the psychological condition of students in using distance learning during the pandemic. There is a need for strategies to be implemented to reduce the impact of the pandemic on students for better mental health.