Assessments play a pivotal role in student performance within higher education courses. in this article the effect of deemphasizing homework assignments and focusing on the course driven project had on undergraduate students' performance is clearly described. Using student grades as data sets, performance is compared over the Fall 2020, Fall 2021,…

Objectives: Limited research exists on how new computer science (CS) teachers understand fundamental Internet principles. This knowledge gap hinders the development of effective upskilling courses, especially as new CS curricula are being introduced worldwide. This study investigates new CS teachers' conceptions of fundamental Internet principles,…

This study aims to examine the structures that affect the teaching motivation of in-service teachers. In this context, self-efficacy in teaching computational thinking and professional identity have been focused on. To that end, the relational screening model has been used. A demographic information form and three different scales were used to…

In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…

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…