Computational thinking (CT) is an essential component of critical skills for university students, representing the ability to analyze and solve problems. In accordance with constructivist learning theory and the core elements of cultivating CT, this research has developed a Project-Based Teaching approach with computational thinking as its focal…

The introductory programming disciplines, which include the teaching of algorithms and computational logic, have high failure and dropout rates. Developing Computational Thinking in students can contribute to learning programming fundamentals by building algorithmic and problem-solving skills. However, keeping students engaged in training such…

Teaching computational thinking skills to novice college students via programming poses considerable challenges. It involves learning programming language syntax and commands, along with fostering higher-order skills crucial for both computational thinking proficiency and future careers. To address this, we proposed a pedagogical approach…

Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…

Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…

Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…

Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…

Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…

Computational notebooks are an increasingly common tool used to support student learning in a variety of contexts where computer programming can be applied. These notebooks provide an easily distributable method of displaying text and images, as well as sections of computer code that can be manipulated and run in real-time. This format allows…

Coprocessor architectures in High Performance Computing are prevalent in today's scientific computing clusters and require specialized knowledge for proper utilization. Various alternative paradigms for parallel and offload computation exist, but little is known about the human factors impacts of using the different paradigms. With computer…

Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic…

All primary school children in England are required to write computer programs and learn about computational thinking. There are moves in other countries to this effect such as the U.S. K-12 Computer Science Framework (CSF) for development. Debates on how to program and what constitutes computational thinking are ongoing. Here we report on a study…

Contribution: This paper employs the automatic scoring of short essays as a novel way to determine pre-service teachers' knowledge of and attitudes toward computational thinking (CT) from their written reflections. Implications about designing CT courses for pre-service teachers are discussed. Background: CT is an essential 21st-century competency…

The aim of this study was to explore Taiwanese college students' conceptions of and approaches to learning computer science and then explore the relationships between the two. Two surveys, Conceptions of Learning Computer Science (COLCS) and Approaches to Learning Computer Science (ALCS), were administered to 421 college students majoring in…

This article describes an introductory computational thinking (CT) lesson that was implemented into five educational technology classes at a large university in the southern United States. A total of 88 undergraduate and graduate students participated in the lesson. The project was the result of a collaboration between education faculty and a…