Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

This study compared Stepwise Logistic Regression (Stepwise-LR) and three machine learning (ML) methods--Classification and Regression Trees (CART), Random Forest (RF), and Generalized Boosted Modeling (GBM) for estimating propensity scores (PS) applied in causal inference. A simulation study was conducted considering factors of the sample size,…

Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…

This study is a contribution to efforts to promote practices for dealing with the difficulties encountered by learners in probabilistic modeling situations. We attempt to elucidate as precisely as possible the types of difficulties that secondary school students face in the process of modeling with probability tools. By referring to a large and…

Learning style (LS), either visual or verbal, has become debatable in the f ield of education vis-à-vis its relation to student success. However, it remains a valuable research theme for improving learning activities in the teaching of highly visual science fields, including biology, physics, and chemistry. Previous studies have primarily focused…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

This paper explores the number marking challenges faced by L2 learners of English whose L1 is one of the classifier languages Mandarin Chinese (henceforth Chinese) or Bahasa Indonesia (henceforth Indonesian). It examines whether these groups differ in their marking of English number, and how the speaker's level of proficiency, as well as…

This study investigates the relationship between motivation and language proficiency, with a specific focus on the speaking abilities of Iranian intermediate-level management students. This group was chosen because effective communication skills are essential for success in management roles, and understanding the factors influencing their language…

Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…

Anticipatory "it" pattern, which encodes interpersonal stance, plays a crucial role in academic writing. While previous studies have been explored the overuse and the underuse of this pattern among English as a Foreign Language (EFL) learners and published writers, there has been limited exploration of how EFL learners use the…