This article unpacks existing laws and disciplinary policies like "zero tolerance" and "disturbing schools" that criminalize youth behaviors in public schools and explores their roots in U.S. racialized histories using a critical carceral studies framework. Carceral studies scholars critique the punitive capitalist apparatus…

In the realm of elementary education, the influence of teacher empathy on Social and Emotional Learning (SEL) remains a critical yet nuanced aspect. This qualitative study explores the integral role of teacher empathy in shaping SEL environments in K-5 classrooms. Teacher empathy, defined as the capacity to perceive situations from students'…

Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…

Collaborative problem-solving (CPS) engages students in solving ill-structured problems, creating group knowledge, and developing self-regulation and collaboration skills. Different scaffoldings, such as minimal-guided, task-oriented, and idea-oriented, can be used to facilitate students' CPS activities, but their effects have not been…

This qualitative study investigated processes used by undergraduate students over a course sequence in anatomy and physiology (A&P). Longitudinal data for each participant include weekly written reflections and interviews at the beginning, middle, and end of the two-semester sequence. The themes that emerged describe three variations of…

Scenario-based academic integrity videos previously developed by the authors have been updated to address changes in technology and on-line resources, expand the application to more general STEM courses, and include new scenarios. Student understanding of academic integrity expectations before and after watching the video was assessed, and initial…

Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…

The effects of childhood trauma are evident in urban classrooms today and adversely affect student achievement. The evidence of exposure to trauma is disruptive behavior, often resulting in a suspension from school. The school social worker or counselor is often viewed as the person responsible for implementing strategies that change student…

As a result of various academic, behavioral, and social-emotional challenges that adolescents may experience during high school, an alarming rate of students are not acquiring their high school credentials. To address this concern, researchers have suggested dropout prevention efforts should focus on using a comprehensive, preventative, tiered…

This project looked at faculty accounts of emotional experiences in the workplace. Specifically, this project examined how faculty in higher education spoke about emotions and teaching, the ways emotional labor manifested itself in higher education faculty, and the relationship between emotions and the environment. Participants (?n = 90) were…

Research focused on identifying effective interventions for individuals with Down syndrome is increasingly informed by the behavioral phenotype -- a profile of performance associated with a genetic abnormality. Recent studies substantiate the efficacy of phenotypically aligned instruction in improving basic reading skills for children with Down…

Online learning implementation has been growing year by year across countries, including Indonesia. Many higher education institutions use a Learning Management System (LMS) to facilitate online learning. Unfortunately, many issues arise during online learning implementation, such as a lack of student behaviour monitoring. This study adopts an…

Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods (k-means clustering, data visualization) to…

Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods ("k"-means clustering, data…

Ethical decision-making and ethical behavior are an essential focus of training for students who wish to pursue careers in behavior analysis. In addition to education and training mandates by the Behavior Analyst Certification Board, universities that offer a Verified Course Sequence are required to teach and maintain ethical behavior in students.…