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).…

While research on the educational experiences of immigrant students typically focuses on their (responses to) educational challenges, there is a lack of research on understanding the academic risk-taking behaviors of immigrant students. This study addresses this gap by examining the mental risk-taking skills of Syrian immigrant students in Türkiye…

Although the construct of social maladjustment has been used for the last six decades, relatively little research has addressed secular trends in socially maladjusted behaviors over time, and even fewer studies have addressed trends for students identified with emotional disturbance (ED). The purpose of this study was to use two U.S. nationally…

Although school psychologists often comment on examinee motivation in their reports, systematic evaluation of effort is not common practice. Empirical assessment of performance effort provides critical evidence for the validity of evaluations and will likely lead to more valid assessments, recommendations, and placements. This article focuses on…

The past few years have seen a shift in many universities' admission policies from test-required to either test-optional or test-blind. This paper uses laboratory experiments to examine students' reporting behavior given their application package and the school's interpretation of non-reported standardized test scores. We find that voluntary…

Missouri Schoolwide Positive Behavior Support (MO SW-PBS), with support from the Center on Positive Behavioral Interventions and Supports (PBIS), has provided training and support to build local capacity and positively impact student outcomes. Numerous years of descriptive data and a recent peer-reviewed research article both show the effects of…

Background: Educational technologies typically provide teachers with analytics regarding student proficiency, but few digital tools provide teachers with process-based information about students' variable problem-solving strategies as they solve problems. Utilising design thinking and co-designing with teachers can provide insight to researchers…

Student academic performance prediction is a significant area of study in the realm of education that has drawn the interest and investigation of numerous scholars. The current approaches for student academic performance prediction mainly rely on the educational information provided by educational system, ignoring the information on students'…

The objective of this article is to develop a causal relationship factor model affecting entrepreneurial behavior for sustainable development using a mixed-methods research approach that integrated both quantitative and qualitative methodologies. The quantitative phase involved testing the causal relationships affecting entrepreneurial behavior by…

One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…