Background: Educational robotics (ER) is increasingly used in classrooms to implement activities aimed at fostering the development of students' computational thinking (CT) skills. Though previous works have proposed different models and frameworks to describe the underlying concepts of CT, very few have discussed how ER activities should be…

Driven by our technologically advanced workplaces and the surge in demand for proficiency in the computing disciplines, it is becoming imperative to provide computational thinking (CT) opportunities to all students. One approach for making computing accessible and relevant to learning and problem-solving in K-12 environments is to integrate it…

Research explored the change in perspectives of K-12 non-STEM discipline teachers regarding coding as an instructional tool. Whether, and to what extent, participants (n = 35) are willing to embrace coding as a teaching and learning strategy was examined. Findings suggest that participants' perspectives improved as a result of their participation…

This article describes "Dark Ride: Disneyland" - a mobile game that encourages Disneyland guests to critically consider Disney's representations of history, culture, and technology. The game was the creation of a group of faculty, students and professionals associated with Brigham Young University. The article contextualizes the game and…

Purpose: While it is particularly important that professional programs help teachers become members of a community of practice, especially in crisis situations such as the COVID-19 pandemic, there is a lack of research about strategies to effectively encourage the development of a community of practice and to support teachers' transformation of…

The purpose of this action research was to evaluate the effect educational robotics have on the programming comprehension and motivation of preservice teachers. Computer science is increasingly being integrated into K-8 curricula across the country. However, there are few teachers trained to teach basic computer science concepts. Core subject…

This research explored the creative thinking, learning achievement, and engagement of students when they integrated the application of the personal audio classifier (PAC) into the competition of a computational thinking (CT) board game (i.e., the experimental group), or did not integrate it into the competition but only collaborated with peers to…

Information Technology (IT) skills gap discourse suggests a mismatch between what students are acquiring in terms of knowledge and skills in their education versus what employers believe are useful skills for doing day to day tasks. This study builds upon previous research (analyzing the skills of college students in IT-related majors) by…

This study aims to evaluate the effect of the use and development of interactive and visual learning media in learning looping by utilizing a web-based digital platform called Loopers. The research design used a qualitative descriptive with case study approach in-depth interview technique. The subjects of this research are five students of the…

Increasingly, students training in the biological sciences depend on a proper grounding in biological statistics, data science and experimental design. As biological datasets increase in size and complexity, transparent data management and analytical methods are essential skills for undergraduate biologists. We propose that using the software R…

A common approach to increase test security in higher educational high-stakes testing is the use of different test forms with identical items but different item orders. The effects of such varied item orders are relatively well studied, but findings have generally been mixed. When multiple test forms with different item orders are used, we argue…

Recent educational policies advocate a radical revision of science curricula and pedagogy, to support interdisciplinary practices, a distinguishing feature of contemporary science. Computational modeling (CM) is a core methodology of interdisciplinary science, as such models allow intertwining of data and theoretical perspectives from multiple…

In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…

The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted…

Aim/Purpose: The goal of this study was twofold: first, to examine how learners' behavioral engagement types affect their final grades in an online programming course; and second, to explore which factors most strongly affect student performance in an online programming course and their connection to the types of cognitive engagement. Background:…