The aim of this research is to determine the influence of students' English for Specific Purposes (ESP) classroom anxiety and self-efficacy on their achievement. The research is exploratory, based on a quantitative approach and systematic non-experimental observation. The research results show that ESP self-efficacy is negatively correlated with…

Network analytics has the potential to examine new behaviour patterns that are often hidden by the complexity of online interactions. One of the varied network analytics approaches and methods, the model of collective attention, takes an ecological system perspective to exploring the dynamic process of participation patterns in online and flexible…

We collected data from 89 international counselling students across the U.S. to test the role of counselling-related coursework, clinical experience, anxiety, and acculturation in predicting counselling self-efficacy among the students. Results from participants representing 34 countries across five continents revealed that counselling-related…

This study focuses on the analysis of certain performance predictors for calculus I. We collected data from 717 students from 2013 through 2018 at a southeastern university in the United States to explore any correlation between course times (particularly very early versus the rest) and student performance in this specific course, along with a…

Online learning has become more popular in higher education since it adds convenience and flexibility to students' schedule. But, it has faced difficulties in the retention of the continuity of students and ensure continual growth in course. Dropout is a concerning factor in online course continuity. Therefore, it has sparked great interest among…

The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…

We study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. In the context of this system, we explore affirmative action policies that seek to narrow the gap between the admission rates of different socio-demographic groups while still accepting students with…

The digital trails that students leave behind on e-learning environments have attracted considerable attention in the past decade. Typically, some of these traces involve the production of different kinds of texts. While students routinely produce a bulk of texts in online learning settings, the potential of such linguistic features has not been…

This study aims to examine the relations and associations between gender, epistemic curiosity (EC), self-regulated learning (SRL), and attitudes toward e-learning in higher education students. The participants were 2438 (862 males, 1576 females) undergraduate students enrolled in a Turkish university. The regression analysis findings showed that…

Science learning is important for the well-being of individuals and society. Acquiring the knowledge necessary for success in science is not easy because science involves relational thinking, or the ability to abstract and generalize from similarities between concepts. Using relational words, or shared linguistic labels that identify commonalities…

A growing number of university graduates delay workforce entry to reverse transfer to a community college for additional training. This trend is common in 2-year physical therapist assistant (PTA) programs where over 34% of all PTA students have a prior earned bachelor's degree. The problem addressed in this study is that little research is…

Many factors are known to affect mathematics education. The purpose of this quantitative, correlational study was to examine if there is a predictive relationship between Mathematics Self-Efficacy and Mathematics Anxiety and whether or not Mindfulness moderates this relationship in preservice teachers. Theoretical foundation for the study included…

The main objective of this dissertation was to investigate factors that affect decision-makers' trust in and reliance on algorithmic predictions as decision aids in the context of college admission prediction tasks. College admission officers often made predictions about the applicants' future success based on multiple pieces of available…

To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on…

A physical chemistry lab for undergraduate students described in this report is about applying kinetic models to analyze the spread of COVID-19 in the United States and obtain the reproduction numbers. The susceptible-infectious-recovery (SIR) model and the SIR-vaccinated (SIRV) model are explained to the students and are used to analyze the…