In the United States, culturally responsive computing is a framework that aims to support broadening the participation of racially and linguistically diverse children in computing and technology education through bottom-up interventions that are community-oriented, technology rich, and culturally dynamic. Despite the important role that youth…

Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…

Contribution: The evaluation of analog-to-digital conversion methods constitutes a key component of an Instrumentation course. This study introduces an affordable educational platform based on Arduino UNO board designed for teaching analog-to-digital conversion concepts, supported by virtual instruments (VIs). Background: ADCs are electronic…

As technology-enhanced children's learning has gained wide attention, programmable robots have been gradually introduced in early childhood education. Hence, it would be valuable to understand how young children perceive robot programming learning. Draw-a-picture technique is an ideal method to elicit ideas, thoughts, and feelings for children…

The nation's need for a diverse and competent Science, Technology, Engineering, and Mathematics (STEM) workforce contributing to economic growth, global competitiveness, and innovation is a primary policy driver for broadening participation in STEM. Yet, social justice and ethics policies dating as far back as the civil rights movement and earlier…

The increasing demand for a computationally trained workforce that reflects Latinx population growth in America has encouraged institutions to revisit exclusionary practices and develop initiatives that support Latinx undergraduate student persistence in Computer Science (CS). CS is necessary not only to keep pace with the rapid change in…

The introduction of Chat Generative Pre-Trained Transformer (ChatGPT) in November 2022 brought about rapid changes in the workplace and academia. Its usage ranged from student assignments to workplace targets in the engineering field. Although it has brought novel ideas to its application in various fields and task efficiency in the workplace, its…

Science, technology, engineering, and mathematics (STEM) fields face persistent disparities in racial, ethnic and gender representation; these disparities are even more pronounced in computer science (CS) fields where women of color comprise 1 percent or less of all employees. These inequalities, and their causes, are complex, systemic, and result…

This case study examined the transdisciplinarity and complementarity of a double degree program in undergraduate chemistry and computer engineering, based on the perspectives of its graduates. Semi-structured interviews were conducted with eighteen graduates to explore how well the program integrated both disciplines and prepared them for the job…

Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…

The purpose of this qualitative descriptive study was to understand how K-8 teachers in Nevada describe computational concepts, practices, and perspectives preparation in making them ready to teach computer science. Brennan and Resnick's computational thinking served as the theoretical framework for this study. Four research questions guided this…

Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…

Outcome-based education (OBE) is uniquely adapted by most of the educators across the world for objective processing, evaluation and assessment of computing programs and its students. However, the extraction of knowledge from OBE in common is a challenging task because of the scattered nature of the data obtained through Program Educational…

Drawing on ethnographic methods, this study employed a community cultural wealth framework to analyze the successful trajectories of 27 Latinx engineering/computer science students at a research-intensive HSI. Our findings uncovered four types of community cultural wealth leveraged by participants--aspirational, linguistic, social, and…

Objective: This study explores postgraduate students' perceptions of the modified team-based learning instructional approach used to teach it and the extent to which the Bootcamp course improves their practical skills. Method: In the beginning, participants (n = 185) were asked to rate their practical experience on the taught topics. At the end…