Individuals who engage in problem behavior receive treatment services in various settings, such as their homes, schools, and clinics. These individuals are also likely to experience treatment provision from various practitioners, such as therapists, teachers, and caregivers. Changes in the treatment setting or intervention agent (i.e., context)…

The variance-stabilizing Freeman-Tukey double arcsine transform was originally proposed for inference on single proportions. Subsequently, its use has been suggested in the context of meta-analysis of proportions. While some erratic behavior has been observed previously, here we point out and illustrate general issues of monotonicity and…

A number of memorable tasks have been revealed through collegial exchanges with underlying philosophical, theoretical, and potentially nefarious motivations. Such was the origin of the probability problem, and the various differences of opinion, presented herein. This article recounts how, together, we explored and disputed the probabilities…

Background: Mental health workforce capacity has faced significant challenges which have only been exacerbated by COVID-19. Undergraduate students provide a robust entry point of a workforce pipeline, but many do not end up in mental health careers despite high levels of interest in this area. Objective: The purpose of this study was to identify…

This study critically examines the biases and methodological shortcomings in studies comparing deaf and hearing populations, demonstrating their implications for both the reliability and ethics of research in deaf education. Upon reviewing the 20 most-cited deaf-hearing comparison studies, we identified recurring fallacies such as the presumption…

Students often instrumentally use variables and unknowns without considering the variational thinking behind them. Using parameters to modify the coefficients or unknowns in equations or systems of linear equations (without altering their structure) involves consciously incorporating variational thinking into problem-solving. We will test the…

This study assesses the civic orientation of graduate students via the "Importance of Social Action Engagement" scale and tests that instrument's construct validity and reliability when applied to graduate students. The study contributes to our understanding of the levels of graduate students' willingness to engage with social issues,…

Recently, there has been a surge in developing curricula and tools that integrate computing (C) into Science, Technology, Engineering, and Math (STEM) programs. These environments foster authentic problem-solving while facilitating students' concurrent learning of STEM+C content. In our study, we analyzed students' behaviors as they worked in…

This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…

In this paper, we present findings from an exploratory qualitative study that investigated how hands-on activities can help learners think of socioscientific issues more concretely. These activities borrowed themes, such as the responsibilities of creators and limits of scientific exploration from the culturally ubiquitous Frankenstein story to…

Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking…

The aim of this qualitative research is to describe the thinking process as a profile of students' mathematical computational thinking (CT) skills in terms of CT attitudes. The subjects in this study were 66 junior high school students in grade IX. There were three students taken by purposive sampling based on high, medium, and low CT attitude.…

Background: Problem-solving ability is an important skill for students to develop in the 21st century. Many previous studies have focused on the impact of diverse digital educational games on problem-solving ability. However, there is inconsistency in the findings, with some studies reporting positive effects of digital game-based learning (DGBL)…

Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…

The relative effectiveness of reflection either through student generation of contrasting cases or through provided contrasting cases is not well-established for adult learners. This paper presents a classroom study to investigate this comparison in a college level Computer Science (CS) course where groups of students worked collaboratively to…