Research on the effectiveness of Intelligent Tutoring Systems (ITSs) suggests that automatic hint generation has the best effect on learning outcomes when hints are provided on the level of intermediate steps. However, ITSs for programming tasks face the challenge to decide on the granularity of steps for feedback, since it is not a priori clear…

As computing educators begin to recognize that their students need strong ethical foundations, there is a growing interest to integrate meaningful ethics education into undergraduate computing curricula. To achieve this, it is crucial to understand how students respond to ethical interventions in the classroom. This review examines the acceptance…

The importance of student engagement is long recognised. Students who are more engaged will be more motivated and inclined to complete their studies. The aim of this study is to understand barriers to engagement for first-year computing students, a cohort that traditionally have high non-progression rates. A qualitative descriptive design was…

Artificial intelligence (AI) has taken the forefront in discussions of the future of media and education. Although there are valid concerns, AI has the potential to be useful in learning new skills, particularly those related to computer programming. This case study depicts the ways AI was introduced to assist in teaching coding, specifically in a…

Background: Despite the vital function of engineering and computer science (Eng & CS) to innovation and economic development, retention within Eng & CS programs remains a major challenge in the U.S. educational system. Despite extensive research on influential factors of retention, there is a gap in our understanding of how these factors…

Objectives: The traditional, instructor-led form of live coding has been extensively studied, with findings showing that this form of live coding imparts similar learning to static-code examples. However, a concern with Traditional Live Coding is that it can turn into a passive learning activity for students as they simply observe the instructor…

This study explores the evaluation of Information Technology (IT) students during and after their core-to-course work-integrated learning (WIL) placement conducted with an industry host and aligned for credit at an Australian University. The case study investigates the value of the performance evaluation criteria used by supervisors to judge…

Employers increasingly prioritize candidates who can solve real-world Structured Query Language (SQL) problems, particularly during technical interviews. However, many undergraduate students feel underprepared for these interviews because they have not engaged in the deep learning needed to apply SQL concepts confidently. Additionally, students…

The adoption of enterprise-wide systems like Customer Relationship Management (CRM) systems continues to grow globally. Due to the prevalence of CRM software in businesses and CRM's expected growth, Information Systems (IS) graduates will likely interact with a CRM system in their careers. However, learning enterprise systems like CRM is…

This paper develops a spreadsheet simulation methodology for teaching simulation and performance analysis of priority queues with multiple servers, without resorting to macros, add-ins, or array formula. The approach is made possible by a "single overtaking" simplifying assumption under which any lower-priority customer may be passed in…

This study explored the role of faith in the motivation of undergraduate computer science students and considered the implications for Christian Higher Education in the United States, by reviewing the existing literature on the subject. Academic motivation of computer science students is a global concern evidenced by studies around the world that…

Background: Learning analytics (LA) research often aggregates learning process data to extract measurements indicating constructs of interest. However, the warranty that such aggregation will produce reliable measurements has not been explicitly examined. The reliability evidence of aggregate measurements has rarely been reported, leaving an…

Background and Context: Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, such tools do not identify plagiarism, nor suggest what assignment submissions are suspicious of plagiarism. Source code plagiarism…

The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…

We presented two empirical studies to assess the efficacy of two Deep Reinforcement Learning (DRL) frameworks on two distinct Intelligent Tutoring Systems (ITSs) to exploring the impact of Worked Example (WE) and Problem Solving (PS) on student learning. The first study was conducted on a probability tutor where we applied a classic DRL to induce…