Asia Pacific Education Review最新文献

Artificial intelligence (AI) technologies have been consistently influencing the progress of education for an extended period, with its impact becoming more significant especially after the launch of ChatGPT-3.5 at the end of November 2022. In the field of physics education, recent research regarding the performance of ChatGPT-3.5 in solving physics problems discovered that its problem-solving abilities were only at the level of novice students, insufficient to cause outstanding alarm in the field of physics education. However, the release of ChatGPT-4 presented substantial improvements in reasoning and conciseness. How does this translate to performance in solving physics problems, and what kind of impact might it have on education? This study undertakes a comprehensive assessment of ChatGPT-4’s performance in solving physics problems from the perspective of physics conceptual understanding and reasoning, and compares its performance with that of students. It is concluded that ChatGPT-4’s performance in solving physics problems has significantly improved compared to ChatGPT-3.5, and was notably superior to the majority of middle school and high school students. This finding presents both a challenge and an opportunity for physics education and the broader educational field, and triggers immediate considerations for coping with this challenge in future teaching and assessment environments.

The Chinese government has been actively recruiting foreign-trained Chinese scholars to return to China since the Chinese brain drain began. Japan is among the most popular destinations for Chinese scholars seeking to receive doctoral training. This study explores the factors contributing to the stratification of Japanese-trained Chinese PhDs’ academic career attainments using the Mertonian norm of universalism. The results indicate that the norm of universalism can partly explain the stratification of Japanese-trained Chinese PhDs. The reason for this is that their higher pre-graduation productivity enhances the chance that Japanese-trained Chinese PhDs have of obtaining an academic position at a top university in China. In addition to pre-graduation academic productivity, other factors, including the prestige of the university attended, the duration of the academic sojourn in Japan, and the ethnicity of the supervisor influence employment outcomes.

Longitudinal item response data often exhibit two types of measurement noninvariance: the noninvariance of item parameters between subject groups and that of item parameters across multiple time points. This study proposes a comprehensive approach to the simultaneous modeling of both types of measurement noninvariance in terms of longitudinal item response modeling while incorporating a latent growth curve model. The growth curve model represents the growth trajectory using initial status and (non)linear change over multiple time points. In addition, this study investigates the impact of measurement noninvariance across time points and subject groups in the examination of group differences in growth over multiple time points. To demonstrate the efficacy of the proposed model, an empirical application to large-scale longitudinal survey data is provided, along with the results of a simulation study.

This research investigates access to senior school science and mathematics subjects offered in the final year of secondary schooling. Using data from the most populous Australian state of New South Wales, we examine whether stratification occurs in access to science and mathematics curricula. We find that the opportunity to study these subjects differs by key school characteristics, including location, socioeconomic composition and school sector. We find that while some science subjects and entry level mathematics are offered in most schools, substantial inequalities exist in access to the most advanced level of mathematics and chemistry. School location, socioeconomic composition, enrolment size and the availability of teachers predict the probability of whether a school offers the least and most advanced science and mathematics subjects. The findings highlight that stratification in curricula offerings occurs systemically and may intensify educational inequalities.