Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited, lacking both breadth and depth. In the present study, we addressed this research gap by exploring students' perception of learning in AI-related courses facilitated by an open experiential AI platform.…

Significant interest in teaching children to code since Preschool Education has arisen in recent years. This paper focuses on the benefits of preschoolers learning to code at such short age. The research questions are whether by coding they can improve skills such as sequencing and plotting a route? Which factors influence the learning? And, to…

One of the most commonly cited theories in computing education research is cognitive load theory (CLT), which explains how learning is affected by the bottleneck of human working memory and how teaching may work around that limitation. The theory has evolved over a number of decades, addressing shortcomings in earlier versions; other issues remain…

This study aims to examine the situational flow experiences of students creating 3D designs in 3D multi-user virtual environments. This time series quasi-experimental study included 40 volunteer junior students who studied at the Computer Education and Instructional Technology department and had taken the elective course of "Instructional…

This paper describes a growth mind-set intervention with Junior Cycle Coding students in a disadvantaged school in Ireland. This intervention builds on the work of O'Rourke et al. (2016) and applies findings to a computer programming setting where gamification is used to incentivise growth mind-set behaviour in students learning to code. Data…

Several studies have explored the factors that influence self-efficacy as well as its contribution to academic development in online learning environments in recent years. However, little research has investigated the effect of a web-based learning environment on enhancing students' beliefs about self-efficacy for learning. This is especially…

Helping students learn to identify and respond to situations involving discrimination is important, especially in fields like Computer Science where there is evidence of an unwelcoming climate that disproportionately drives underrepresented students out of the field. While students should not be considered responsible for fixing issues around…

Currently, the dropout rate is crucial in the field of Computer Science (CS) higher education. In CS education it is usually the mathematically oriented subjects that are blamed for the high dropout rates. Implementing a theoretical framework into practice, we have been able to prevent 28% of our students from dropping out in the last 2 years due…

In this study, a personalized gamified recommender system was developed to help secondary-school students in Saudi Arabia learn computer programming. This recommender system supports those students by providing personalized recommendations to address their weaknesses and increase their motivation toward computer programming. A total of 60 female…

The purpose of this study is to examine the role of Minecraft-based coding activities on computational thinking (CT) of middle school students. In the study, CT was conceptualized so that it encapsulates not only the knowledge of computational concepts (e.g., loops and conditionals) but also the use of CT practices (e.g., testing and debugging).…

Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students' motivation and persistence is critical to helping educators,…

Shifting the existing lens of mentorship in graduate education to one that frames graduate students as mentors, rather than mentees, I explore how 10 STEMM doctoral student mentors considered social identities and organizational power structures in mentoring undergraduates. Using sociospatial and in-depth interview data, findings illuminate how…

Small teaching approaches are well-structured, incremental teaching improvement techniques supported by research in cognitive science, memory, and learning. I systematically implement a series of small teaching activities in an introductory programming course to tackle the teaching and learning challenges faced by instructors and students. The…

In massive open online courses (MOOCs), recommendation relationships present a collection of associations that imply a new form of integration, such as an interdisciplinary synergy among diverse disciplines. This study took a computer science approach, using the susceptible-infected (SI) model to simulate the process of learners accessing courses…

In recent years there has been an increased push for K-12 computer science education. A major reason for this push is the growing evidence that introducing young children to coding can enhance their interest and promote their learning of foundational skills needed to thrive in today's technologically rich world. However, little research has…