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Digital technologies enable consumers to actively participate in the design and production process for a wide range of products, giving rise to the concept of a ‘prosumer.’ A significant portion of the value for such products is generated through the ...

Problem. Extant measures of students' cybersecurity self-efficacy lack sufficient evidence of validity based on internal structure. Such evidence of validity is needed to enhance confidence in conclusions drawn from use of self-efficacy measures in the ...

Cybersecurity campaigns often fail because tools and practices, like password managers, appear too daunting or difficult to implement. While prior work has shown that transformational game design approaches to improving players’ security self-efficacy ...

Self-efficacy describes an individual’s perceived capability to accomplish a given task. Self-efficacy theory has long been applied in games for increasing player motivation, performance, and game enjoyment— however, it’s not immediately clear how to ...

This study investigates the factors influencing the intention to use AI-powered health diagnostic chatbots. A research model was proposed based on the Technology Acceptance Model, subjective norms, perceived trust, perceived risk, and self-efficacy. ...

Student tutors are critical to Computer Science (CS) programmes; as teachers, assessors, and mentors, they exert significant influence over student learning. However, in the majority of cases, tutors receive little to no training. While they possess ...

Novice software developers encounter pitfalls which evoke learning experiences that are more often frustrating than enlightening. Such experiences dampen their debugging self-efficacy, impacting their attainment and retention. Structured debugging using ...

Background: Instructional transparency makes a course’s learning goals, evaluation criteria, and path to success clear to students, with the goal of improving equity in higher education. Increased transparency may improve equity by bolstering students’ ...

Self-efficacy has been claimed to be a predictor of students' motivation and learning [1]. It has been found to be sensitive to students' success, and to affect their academic achievement. In the CS/IT education context, where the drop rates are high, it ...

Teachers serve an invaluable role in facilitating student understanding of AI and awareness of related careers. Our understanding of teacher self-efficacy and careers awareness in the context of the growing field of AI education is limited. We adapted ...

Studies show that both test anxiety (TA) and self-efficacy (SE) have an impact on academic performance and that different students experience TA at different levels. For example, TA has consistently been shown to be higher and SE to be lower for women ...

This work details an experimental study to test an educational method in introductory programming designing around interdisciplinary transfer between algebra and computer science to target several problems commonly identified by researchers: Unoptimized ...

We explored how undergraduate introductory programming students naturalistically used generative AI to solve programming problems. We focused on the relationship between their use of AI to their self-regulation strategies, self-efficacy, and fear of ...

Teacher support is a key factor in influencing student learning engagement. However, the influence of teacher support on learning engagement in technological settings remains to be explored. The research aims to examine how teacher support correlates ...

Self-efficacy and digital literacy are key predictors to incarcerated people’s success in the modern workplace. While digitization in correctional facilities is expanding, few templates exist for how to design computing curricula that foster self-...

Large language models (LLMs) like ChatGPT have been widely adopted in work contexts. We explore the impact of ChatGPT on young professionals’ perception of productivity and sense of accomplishment. We collected LLMs’ main use cases in knowledge work ...

This paper presents a comparison of two instructional strategies meant to help learners better comprehend code and learn programming concepts: reading code examples annotated with expert explanation (worked-out examples) versus scaffolded self-...

Affective state, referring to an individual's feeling, can impact students' confidence and retention in CS, particularly for novice programmers. However, little research has been conducted to examine how moments that occur during programming impact ...

Within the context of computing education, we refer to outcome expectancy as students' self-estimated performance in a learning environment. We believe this construct has the potential to serve as a proxy for a broad range of motivational constructs ...

Self-efficacy is important for success in computing courses, but best practices for how computing instructors can support students' self-efficacy development are still a matter of ongoing development. CS students' judgments about their own abilities are ...