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…

Background & Context: Many efforts have been dedicated to building computer science (CS) teacher capacity through offering professional development (PD) programs. Previous reviews indicated the need to offer more continual support for teachers. Recent research has shifted its focus to scaling up PD and sustaining teaching capacity by…

The aim of this study is to examine the effect of block-based coding education on middle school students' computational thinking skills and attitudes towards coding with Blocky example. The training phase of the implementation process was planned and implemented by subject experts in 4 weeks and 2 hours a week. In the research, both quantitative…

We present a privacy-friendly early-detection framework to identify students at risk of failing in introductory programming courses at university. The framework was validated for two different courses with annual editions taken by higher education students (N = 2 080) and was found to be highly accurate and robust against variation in course…

Despite their potential to deliver a high-quality learning experience, massive open online courses (MOOCs) pose several issues, such as high dropout rates, difficulties in collaboration between students, low teaching involvement, and limited teacher-student interaction. Most of these issues can be attributed to the large number, diversity, and…

Since teaching robotics in schools is still new for teachers, studies on how to integrate computational thinking concepts in robotics courses are still rare. In this direction, teacher training sessions for teaching robotics should be visited. Accordingly, in this exploratory case study, a professional development program for teachers was…

Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that because students often fail to mobilize metacognition to regulate and control their cognitive activities in a cooperation, this results in poor learning effects. Especially low-achieving students need…

Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this…

Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…

Computer Science (CS) stereotypes promote the mindset that nerdy White males who have a high IQ and are technology enthusiasts are the ones to succeed in the field, leading to gender and racial disparities. This quasi-experimental study investigated if exposing teacher candidates to a stereotypical vs. counter-stereotypical CS role model affects…

In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the…