Proceedings International Conference on Education Innovation and Social Science

Evaluating Education Cost Indices in Indonesia: A Comparative Analysis of Construction Cost Index and Purchasing Power Parity Using Empirical Methods

Ferdi Widiputera — 2024-11-20

This study employs an empirical methodology to investigate the calculation of indices for determining the unit costs of equivalent education. This study compares the Construction Cost Index (CCI) and Purchasing Power Parity (PPP) in order to evaluate their relative effectiveness. A review of the existing literature on these indices reveals a need for more refined calculation and comparison methods. The study employs data from the Indonesian Central Statistics Agency (CSA), including CCI and PPP figures from 2021 and allocations for School Operational Assistance (SOA) for non-formal education in 2022, to examine the relative significance of the CCI and PPP. The findings indicate that the CCI exerts a greater influence than the PPP. Furthermore, the application of a relative importance approach through multiple regression analysis reveals a robust positive correlation between the CCI and PPP, underscoring their intricate interrelationship.

Understanding The Teacher's Intention to Use Artificial Intelligence for Accounting Learning

F Fachrurrozie — 2024-11-20

This research aims to analyze the factors that determine accounting teachers' intentions to use artificial intelligence in learning using the technology acceptance model (TAM) that has been developed. The research respondents were high school and vocational school accounting teachers in Semarang City, Central Java, Indonesia. 73 units of data were obtained using accidental sampling techniques. Questionnaires developed by previous researchers were used to obtain research data. SEM-PLS is used as a data analysis method. The research results indicate that only perceived usefulness can determine the level of teacher intention to utilize AI in learning. Other variables were not proven to have a significant influence. Some respondents thought that using AI was not an easy thing to do. Facilities and social support cannot encourage them to utilize AI in learning. Respondents also do not have sufficient IT competency, so they appear worried and less confident about utilizing AI in learning. The practical implication of this research is the importance of training and education for teachers so that they can utilize AI in learning because they are already convinced of the benefits of AI.

Education for Sustainable Development in Preservice Teacher Program: A Bibliometric Study

Elvia Ivada — 2024-11-20

As the earth's condition gets worse due to many environmental and social challenges, sustainable development is a solution that must be carried out by all parties, including all actors in the education sector. Sustainability education or education for sustainable development is essential to enhance sustainable development. Teachers are role models for students to have knowledge and awareness of sustainability. As the younger generation, students will become citizens who carry out the future business and country's development, so they should act and behave according to sustainability principles. Thus, the role of teachers is significant in forming a young generation that possesses a high knowledge and awareness of sustainability, which determines their sustainability behavior in the future. Therefore, sustainability education for prospective teachers is very crucial. This study aims to provide a comprehensive overview of research trends regarding sustainability education for preservice teachers using bibliometric analysis by utilizing the VOS viewer and analysis features provided by Scopus. The articles used are on sustainability education for preservice teachers published in the Scopus database from 1998 to 2024. The study results show that many areas still need further study that scholars can use to research in this field.

The Influence of A Cooperative Learning Model of Team Games Tournament (TGT) Type on Mathematic Critical Thinking Ability through A Scientific Approach to Statistical Materials

Dita Fitria Wati — 2024-11-20

This research was conducted on class This study is quantitative research. The data obtained in this research is from the initial test (pretest) and final test (posttest) by taking samples from class X3 as the experimental class and X5 as the control class. The data analysis techniques used are normality test, homogeneity test and hypothesis test. In the decision making criteria for the Mann Whitney U-Test, it is said that if the value of Asymp.Sig. (2-tailed) < 0.05 then