The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language models, empirical research on their opportunities and risks in education remains limited. In this work, we demonstrate the qualities and shortcomings of using ChatGPT 3.5…

This study explores how Korean English learners process English caused-motion constructions (CMC) through online and offline experiments. The focus was on how Korean learners' processing of English CMC is affected by the typological difference between English and Korean. Of the 77 volunteer participants recruited, 17 were native English speakers…

The purpose of the present research is investigating cultural competence development processes of students studying at Selcuk University Department of English Translation and Interpretation. Data of the research were collected with English Translation and Interpretation Students' Cultural Competence Development Processes Survey, developed by the…

The natural-language tutorial dialogue system that the authors are developing will allow them to focus on the nature of interactivity during tutoring as a malleable factor. Specifically, it will serve as a research platform for studies that manipulate the frequency and types of verbal alignment processes that take place during tutoring, such as…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…