While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…

Mathematics education often grapples with the challenge of teaching abstract mathematical concepts, particularly those existing in 3D space. Visualizing, manipulating, and comprehending these abstract objects can be a formidable task for learners. While 3D printing technology has found applications in various fields, its utilization in mathematics…

An undergraduate-level Computational Chemistry project was incorporated initially into a Physical Chemistry course and then into the laboratory curriculum in the subsequent application. Before the introduction of the project, the lectures covered quantum chemistry, spectroscopy, and kinetics while simultaneously including computational chemistry…

As more states in the USA require elementary schools to offer computer science (CS) education, teachers are expected to master the knowledge and skills to teach CS by integrating computational thinking (CT) into content areas. This study presented a research-practice partnership approach to support elementary teachers in a local school district…

Background and Context: There is a need for teachers who are prepared to teach integrated CS/CT throughout the K-12 curriculum. Drawing on three vignettes of teacher instructional practice, we build on a growing body of literature around how teachers integrate CS/CT into their classrooms after attending CS/CT focused professional development.…

This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…

Student performance on open-response calculations involving acid and base solutions before and after instruction in general chemistry and analytical chemistry courses was compared with the output from the artificial intelligence chatbot ChatGPT. Applying a theoretical model of expertise for problem solving that includes problem conceptualization,…

Improving students' STEM competencies is important and relies on fine-grained assessments, however, assessing scientific inquiry in an authentic, automated way is challenging for a number of reasons. Here, we provide an overview of how the learning sciences and computational sciences were used in the design and development of Inq-ITS and its…

This research study employed quantitative and qualitative designs to explore the impact of immersive technology on the Computational Thinking (CT) capabilities of students enrolled in an engineering program at a Historically Black College or University (HBCU). The quantitative study in this research employs a survey design approach to explore the…

Mathematical cognition research has largely emphasized concepts that can be directly perceived or grounded in visuospatial referents. These include concrete number systems like natural numbers, integers, and rational numbers. Here, we investigate how a more abstract number system, the irrationals denoted by radical expressions like the square root…

Our understanding of the cognitive processes involved in reading has been advanced by computational models that simulate those processes (e.g., see Reichle, 2015). Unfortunately, most of these models have been developed to explain the reading of English and other alphabetic languages, with relatively fewer efforts to examine whether or not the…

Efficient visualizations of computational algorithms are important tools for students, educators, and researchers. In this article, we point out an innovative visualization technique for matrix multiplication. This method differs from the standard, formal approach by using block matrices to make computations more visual. We find this method a…

The need to benefit from information technologies in the twenty-first century digital age is increasing in all economies to overcome problems and difficulties and to have desired solutions. So, developing algorithmic thinking has been important as a skill that requires the application of knowledge from different disciplines, especially science,…

This study aimed to investigate senior high school students' computational thinking skills after implementing the Bioinformatics Module on molecular genetics concepts. The instructional approach used in the module is Computational Inquiry-based Teaching (CIbT). This study used a quasi-experiment method with a pretest-posttest control group design.…

This article explores three attributes of teachers' understanding of fraction magnitude: the accuracy and reasonableness of teachers' estimations in response to fraction arithmetic tasks as well as the alignment of the estimation strategies they used with the concept of fraction magnitude. The data were collected from a national sample of…