This research was aimed at summarizing experimental evidence regarding computational thinking and programming conducted in early childhood education in terms of the variables of plugged-in versus unplugged, age, and gender. For this purpose, the WoS, Scopus, and ERIC databases were scanned, and studies determined to be within the scope of the…

While numerous studies have highlighted the potential benefits of programming environment (PE) use for children's learning, the boundary conditions of children's PE acceptance within the programming education context are less clear. This study fills this gap in the literature by investigating the critical determinants of children's PE use…

Individuals learn to develop problem solving strategies and make connections between their mathematical ideas while programming, so they have the opportunity to improve their thinking skills. Scratch provides an environment to experience problem scenarios and encourages them to act out imagination while having fun. The purpose of the study is to…

The COVID-19 pandemic and advances in technology have resulted in the emergence of online learning as a new trend in the educational sector. However, during online learning, if students cannot seek immediate assistance from teachers, the use of suitable teaching models and easy-to-understand teaching materials is crucial. To address problems…

It is widely recognized that debugging is challenging for novice programmers and, as such, computing educators and researchers have called for explicit debugging instruction. Debugging requires various knowledge and skills, and different students may show different strengths and weaknesses. An understanding of such individual differences is…

There has been a global consensus to develop computational thinking (CT) in primary education, but the biggest obstacle to promoting CT is teachers' lack of sufficient CT. This study explored the effects of micro: bit educational robotics (MER) programming activities on primary teachers' CT and programming attitudes (PA) while considering the…

In this study, the influence of socio-cultural factors on attitudes toward artificial intelligence (AI) was investigated. In total, 1,677 Korean middle school students were selected to participate, and a test tool was used to measure the attitude toward AI. As a result, according to socio-cultural factors, middle school students' attitudes toward…

Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring related skills but report concerns that programming logic is too difficult to learn because memorization of the syntax is required. Thus, they experience anxiety, are demotivated to learn, and,…

Resilience is a critical personality trait that allows one to deal with difficulties, learn from failures, and maintain a positive attitude during task performance. However, it has not been understudied in a complex and challenging educational domain. The current research intends to address this gap by analyzing the specific characteristics of…

Programming knowledge is more important than ever in the digital world. However, teaching programming can be challenging, especially with novice learners. Considerable research has been conducted into the most effective methods for teaching programming. Extreme apprenticeship, a variation of cognitive apprenticeship, is a method that has been used…

Artificial Intelligence (AI) education in primary schools has received a great deal of attention globally, and it is thus important to investigate primary school students' perceptions and understanding of AI learning. Therefore, in this study, 673 drawings of conceptions of AI learning by third to sixth grade students were collected. Firstly, a…

Artificial intelligence (AI) is being deeply integrated into human society. In the future, human collaboration with AI is inevitable. Therefore, exploring the attitudes of future workers--represented by current K-12 children--towards AI has become crucial. Robots stand as typical representatives of AI. Robot programming education is an important…

This study reports on gender differences in an introductory programming (IP) course that uses a new teaching and learning approach based on the ADRI (Approach, Deployment, Result, Improvement) model. The teaching materials of the IP course were redesigned based on the new approach. The grades of the final exam were compared to determine the impact…

There are millions of MOOC participants who vary in gender, age, educational level, employment status, intentions, etc. Although MOOC participants' characteristics have been studied, there is still a lack of knowledge of the divergence between the participants and completers of MOOCs with different levels of difficulty. The term 'level of…