Background/purpose: The increasing integration of digital technology in education underscores the need for instructional models that support personalized, skill-based, and problem-solving focused learning. While traditional pedagogies often fail to address these needs comprehensively, this study proposes that the Mastery Adaptive Problem-Solving…

Students with learning disabilities/difficulties in mathematics often apply ineffective procedures to solve word problems. Given that current mathematics curriculum standards emphasize conceptual understanding in problem solving as well as higher-order thinking and reasoning, the purpose of this study was to evaluate the impact of a model-based…

Latinx population is growing rapidly, however, they are falling behind in educational attainment. In Tennessee, 17% of Latinx adults have earned an associate degree or higher, compared to 32% of all adults. This study focuses on improving Latinx students' access to STEM higher education in the Northeast Tennessee region. A survey was conducted…

Background: A large evidence base suggests that without effective early intervention, young children who exhibit persistent challenging behavior often face a host of long-term social and academic challenges (Bulotsky-Shearer & Fantuzzo, 2011; Hauser-Cram & Woodman, 2016; Kazdin, 1995; Lane et al., 2008; Miller et al., 2017). Challenging…

In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…

This pilot study examined the feasibility of using worked examples as a mechanism to improve verbal explanations of fractions concepts among Grade 5 students with mathematics difficulties in a small-scale randomized controlled trial (RCT) before scaling up to a large-scale RCT. Students (N = 49) were randomly assigned to a business-as-usual (BAU)…

The 21st-century skills seek to develop learners who will be problem solvers in society. This paradigm shift requires the use of learner-centered strategies that emphasize collaborative problem-solving. To explore the effectiveness of such approaches, this study sought to determine how effective Wheatley's problem-centered approach would be in the…

Aims: Maintaining order is a fundamental task for teachers in the classroom. Historically, some form of punishment has been the common response to undesirable behaviour. However, over the past two and a half decades, a different approach to classroom management, sometimes labelled 'positive discipline', is being increasingly adopted by schools.…

Despite continued efforts to address this issue, many students still exhibit misunderstandings regarding Newton's laws. These misconceptions include beliefs, such as every movement requires a force, that force is directly proportional to velocity, and that action-reaction forces can differ in magnitude. To mitigate these misunderstandings,…

Individualization and iterative design are essential components of the assessment and treatment of challenging behavior. Currently, there are few validated frameworks for engaging in iterative processes. Due to the nature of single-case design, empirically rigorous evaluations of decision-tree processes are particularly prohibitive.…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…

In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…

The benefits of mindfulness have been noticed in academics, but whether and how perceived mindful parenting prevents maladaptive academic behaviours (e.g. rigid persistence, self-handicapping, and compulsive learning behaviour) have rarely been discussed. Therefore, a model of perceived mindful parenting, insecure attachment, children mindfulness,…