Background/purpose: This study aimed to identify common mistakes made in master's theses on mathematics education by Saudi mathematics students at lAU in Saudi Arabia, as determined through a content analysis, and to compare these with the views of faculty members. Materials/methods: A descriptive approach (analytical and survey) was employed. The…

The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…

This study's purpose was to analyse the relationship between geometric thinking skills with self-regulated learning and with students' basic geometry skills. Furthermore, analyze student errors in solving geometry problems based on their self-regulated learning to determine the optimal geometry learning environment for geometry thinking skills.…

One of the critiques of proficiency as defined by scales, such as that of ACTFL, is its lack of grounding in linguistic realities. Measures of complexity, accuracy, and fluency provide a route in which proficiency can be quantitatively measured by identifying linguistic correlates (see Brown et al., 2017; Long et al., 2012). This project aimed to…

This study explored a way to help Japanese university students write longer essays while maintaining grammatical accuracy. Participants were three groups of students enrolled in a one-year EFL course in different academic years (N = 111), and the number of words they wrote in 30 minutes and the number of errors made per 100 words were compared. To…

This study examines Korean L2 learners' production of English phonological contrasts (e.g., consonant-final versus vowel-final forms) that are absent in their L1. Twenty university students divided into high- and low-proficiency groups participated in the study. Their productions were analyzed for segmental accuracy and error patterns. Results…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

This study explored speaking anxiety and attitudes towards speaking English in the classroom setting. The data collected from 91 Thai EFL grade 11 students, using questionnaires, classroom observations, and semi-structured interviews. The findings showed moderate levels of speaking anxiety and attitudes among grade 11 students. The Pearson…