The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…

RoblockLLy is an educational robotics simulator designed for primary and secondary school students, whose goal is to increase their interest in science, technology, engineering, and mathematics. In the particular case of computer science, it allows developing computational thinking skills. It has been designed with ease of use in mind. This free…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

This study critically reviews sixteen empirical studies that investigate the various difficulties that primary school students encounter while learning programming through educational games. Specifically, the challenges that students face in understanding basic programming concepts and the game elements that contribute to these difficulties, as…

Business analytics is a fast-growing field that requires a combination of technical, analytical, and communication skills. This article aims to identify the most sought after skills for business analytics jobs based on a content analysis of over 2600 online job postings. The results show that the top skills include analytics, communication,…

This study investigates the self-regulated learning strategies employed by students in computer programming courses. Utilising the Questionnaire on Learning Strategies in Computer Programming (CEAPC), the research aims to identify specific strategies used by students. The findings reveal a variety of effective learning strategies, including…

Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…

This study focuses on students' self-assessment during their learning process related to computer programming concepts, taking into account challenges and obstacles both teachers and students face, with the aim to contribute to the development of guiding principles and practices and enhance the teaching process of computer programming in primary…

Contribution: Expand the scope of factors influencing self-efficacy and highlight the importance of teaching quality, peer support, perceived course value, the moderating effects of self-regulation, and adversity quotient (AQ). Background: Self-efficacy has been regarded as an important factor in students' learning performance. However, little…

Creativity and problem-solving are 21st-century skills that we need to develop in our students. Research on computational thinking (CT) integration in school subjects and STEAM activities has shown a positive effect on students' problem-solving skills and creativity. Our study extends our previous work from the integration of CT in a mathematics…

Feedback is crucial during programming problem solving, but context often lacks critical and difference. Generative artificial intelligence dialogic feedback (GenAIDF) has the potential to enhance learners' experience through dialogue, but its effectiveness remains sufficiently underexplored in empirical research. This study employed a rigorous…

This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…

Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…

Background: Implementing maker education in schools is on the rise, fuelled by its potential to move formal education towards a creative, technology-driven 21st century learning culture. In maker education, collaborative learning takes place through and around various digital and traditional technologies, which provide the means for students'…

Contemporary education calls for innovative strategies to move away from traditional teacher-centered methods to methods that engage students and enhance learning outcomes. This shift toward student-centered learning is crucial for achieving educational goals and making the next generation more adaptable to the modern era. This paper examines the…