Artificial intelligence (AI) education empowers teachers to enhance the educational process. Although conventional face-to-face or fully online training methods each have their strengths, they do not fully address challenges such as the rapid pace of AI advancements, differences in teachers' ability to grasp AI knowledge, and the need for flexible…

Background: Conventional reflective learning methodologies in programming education often lack structured guidance and individualised feedback, limiting their pedagogical effectiveness. Whilst computational thinking (CT) offers a systematic problem-solving framework with decomposition, pattern recognition, abstraction, and algorithm design, its…

The COVID-19 pandemic triggered a global pivot to virtual care (VC) technologies. While there has been considerable academic work exploring the "how" of VC, few studies have explored the impact of this pivot, its unintended consequences, and its governing rationales. This study addresses this gap in relation to care, professional…

Background/purpose: This study investigates the impact of emoji feedback on students' assessments and learning outcomes. Aims include emotions in feedback systems to assess the effects of feedback, learning outcomes, and general performance, among other educational outcomes. Materials/methods: This study employed a mixed-methods approach,…

Objective: The Conners Continuous Performance Test-3 (CCPT-3) is a computerized test of attention frequently used in clinical neuropsychology. In the present factor analysis, we seek to assess the factor structure of the CCPT-3 and evaluate the suggested dimensions in the CCPT-3 Manual. Method: Data from a mixed clinical sample of 931 adults…

Background/purpose: Artificial Intelligence (AI) is increasingly shaping assessment practices in higher education, promising faster feedback and reduced instructor workload while also raising concerns about fairness and transparency. This study examines how AI technologies are transforming assessment processes and the experiences of stakeholders.…

This research was carried out to determine the opinions of science teacher candidates about digital game addiction. For this reason, the phenomenology method which one of the qualitative research methods, was used. The sample of this study consists of 5 science teacher candidates studying at different universities in the 2022-2023 academic year.…

Background/purpose: Science education has gained more prominence as a means of educating students for the demands of a technologically evolved world. Understanding the variables influencing students' science achievement is vital for educational policymakers and practitioners. Materials/methods: The study used a hierarchical multiple regression…

Background/purpose: This study investigates the efficacy of iPad-based interventions in improving communication skills among students with autism, focusing on two participants with minimal functional speech. Materials/methods: A multiple baseline design was employed, consisting of two phases--a baseline phase (A), where the participants had access…

Cyberbullying affects US youth, adolescents, and adults and can occur in various settings. Among the academic literature exploring cyberbullying, most discuss cyberbullying of youth and adolescents within the K-12 academic setting. While some studies address cyberbullying targeting adults, a limited amount of research has been conducted on the…

In recent years, the application of explainability techniques to automated essay scoring and automated short-answer grading (ASAG) models, particularly those based on transformer architectures, has gained significant attention. However, the reliability and consistency of these techniques remain underexplored. This study systematically investigates…

A crucial aspect of this research is determining the effectiveness of the tool developed for this study. This tool is built upon the understanding that technology continually evolves and significantly impacts higher education. It is believed that technology plays a vital role in how students learn in college today. This belief is supported by the…

Due to mandates for the inclusion of engineering and computer science standards for K-6 schools nationwide, there is a need to understand how teacher educators can help develop preservice teachers' (PSTs') teaching self-efficacy in these areas. To provide experience teaching and learning engineering and coding, PSTs in an instructional technology…

Online tools are increasingly being used by students to cheat. File-sharing and homework-helper websites offer to aid students in their studies, but are vulnerable to misuse, and are increasingly reported as a major source of academic misconduct. Chegg.com is the largest such website. Despite this, there is little public information about the use…

Artificial Intelligence (AI) has rapidly emerged as a powerful tool with the potential to enhance learning environments. However, effective use of new technologies in education requires a good understanding of the technology and good design for its use. Generative AI such as ChatGPT requires particularly well-designed instructions due to its ease…