The increasing use of complex machine learning models in education has led to concerns about their interpretability, which in turn has spurred interest in developing explainability techniques that are both faithful to the model's inner workings and intelligible to human end-users. In this paper, we describe a novel approach to creating a…

This essay examines students' transgressive critical literacies in response to current events and contemporary manifestations of sociopolitical youth resistance, calling on educators to uplift malicious compliance, creative compliance, and transgressive humor to live out the core value of qualified hope.

Managing student behavior in special education classrooms can be difficult, particularly with students with social-emotional and behavioral challenges. Effective classroom behavior management strategies maximize academic instruction time and decrease disruptive behavior. Tootling is a multicomponent classwide behavior intervention that involves…

The literature has identified the use of data-based, problem-solving as an essential element in the promotion of positive behavior interventions and supports (PBIS) within the classroom. The Components of a Successful Classroom (CSC) tool is an instrument which has undergone initial validation to support its use for measuring critical features of…

Purpose: Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds:…

Six experiments were conducted with graduate students to assess resurgence of compound (i.e., multi-step) academic responding under free operant procedures. Participants learned two different interobserver agreement (IOA) methods -- compound behaviors -- through instructional phases before beginning the experimental phases. Each experiment…

Contribution: This study proposes a student dropout prediction model, named image convolutional and bi-directional temporal convolutional network (IC-BTCN), which makes dropout prediction for learners based on the learning clickstream data of students in massive open online courses (MOOCs) courses. Background: The MOOCs learning platform attracts…

Stress in adult learners is a neglected topic, despite practitioners observing that their adult learners often display psychological discomfort. We address the effects psychological stress has on learning, then define the constructs of stress, trauma, resilience, and psychological distress. Twenty-three adult learners reading at elementary levels…

A quantitative correlational design was used to examine the correlation between classroom management strategies toward students' disruptive behaviors and their relationship on teachers' emotional well-being. The Classroom Management Questionnaire (CMQ, Diaz et al., 2018) and the Teacher Subjective Wellbeing Questionnaire (TSWQ, Renshaw et al.,…

Student Conduct Practitioners seek to be developmental in the application of every aspect of their disciplinary process. Students going through the disciplinary process may face a wide array of sanctions, including suspension. The reviewed literature suggests that suspension is not an effective sanction in the K-12 setting, but very little work…

This article examines alternative and supplementary ways in which theorists and researchers have sought to account for bullying behavior among students in schools. Contemporary explanations acknowledge the variety, complexity, and interactivity of both person and environmental factors in determining acts of bullying in schools. Two explanatory…

How and what schools report as grades is important. Academics argue that traditional grading reduces teaching effectiveness and the accuracy of reporting (Marzano & Heflebower, 2011). Many education experts advocate for standards-based grading (SBG) as a research-based response (Link & Guskey, 2022; O'Connor, 2018; Townsley et al., 2019).…

Even though the most prevalent category of disability served in the U.S. school system is specific learning disabilities (SLD), practitioners are often unfamiliar with the indicators associated with a specific LD such as dysgraphia and dyslexia. Misconceptions or an absence of understanding of the behavioral indicators related to dysgraphia and…

Exams are designed to rank students objectively by their abilities, including elements such as time limits, the number and difficulty of questions, and negative marking policies. Using data from a lab-in-field experiment, we develop and estimate a model of student behavior in multiple-choice exams that incorporates the effects of time constraints…

Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…