This study focused on the investigation of the spiritual intelligence of prospective teachers with respect to their gender, locality, and stream. A descriptive survey method was used along with the sample of 105 prospective teachers through multistage sampling techniques. A standardized Sixfold Spiritual Intelligence Scale was used for data…

Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…

Supervisor, co-worker, and customer-initiated incivility in the services industry dominate the literature. Incivility studies in academic institutions are beginning to emerge and students' initiated incivility has taken the center stage, whereas studies on lecturer-initiated incivility are lacking. This study, therefore, seeks to find out the…

Generative artificial intelligence (AI) has the potential to revolutionize social science research. However, researchers face the difficult challenge of choosing a specific AI model, often without social science-specific guidance. To demonstrate the importance of this choice, we present an evaluation of the effect of alignment, or human-driven…

Identifying valid and reliable instruments measuring attitudes toward Artificial Intelligence (AI) and examining attitudinal gaps are becoming increasingly important as they may inform ethical and appropriate development, adoption, and regulation of AI technologies. In this study, we validated the 4-item AI Attitude Scale (AIAS-4) in a large…

This research considers the opportunities for using AI in HRM to raise the effectiveness of personnel management processes based on corporate social responsibility and the reduction of the divide between the market of university education and the job market. The authors combine the concept of the divide between the university education market and…

Students exhibit diverse cognitive styles, necessitating tailored educational approaches. However, the integration of Generative AI (GenAI) tools into design education presents challenges in accommodating the diverse cognitive styles of Industrial Design (ID) students. This study aims to identify students' cognitive styles in a GenAI environment,…

Evidence suggests custom chatbots are superior to commercial generative artificial intelligence (GenAI) systems for text-based anatomy content inquiries. This study evaluates ChatGPT-4o's and Claude 3.5 Sonnet's capabilities to interpret unlabeled anatomical images. Secondarily, ChatGPT o1-preview was evaluated as an AI rater to grade AI-generated…

As Artificial Intelligence (AI) keeps advancing, Generation Alpha and future generations are more likely to cope with situations that call for critical thinking by turning to AI and relying on its guidance without sufficient critical thinking. I defend this worry and argue that it calls for educational reforms that would be designed mainly to (a)…

The debate over halting artificial intelligence (AI) development stems from fears of malicious exploitation and potential emergence of destructive autonomous AI. While acknowledging the former concern, this paper argues the latter is exaggerated. True AI autonomy requires education inherently tied to ethics, making fully autonomous AI potentially…

Knowledge tracing (KT) models predict how students will perform on future interactions, given a sequence of prior responses. Modern approaches to KT leverage "deep learning" techniques to produce more accurate predictions, potentially making personalized learning paths more efficacious for learners. Many papers on the topic of KT focus…

Evaluating the performance of Large Language Models (LLMs) is a critical yet challenging task, particularly when aiming to avoid subjective assessments. This paper proposes a framework for leveraging subjective metrics derived from the class textual materials across different semesters to assess LLM outputs across various tasks. By utilizing…

In this supplement to the reprint of "A Pedagogy of Multiliteracies: Designing Social Futures," Mary Kalantzis and Bill Cope revisit the foundational ideas of the New London Group thirty years after the article's publication. They explore how the multiliteracies framework has evolved over time in response to changes in technology, media,…

The aim of the present study is to examine the effect of COVID-19 victimization experience (CVE) on university students' academic behaviors, which has not received sufficient attention in current research. Based on the job demands-resources model, which claims that insufficient resources and high demands can result in burnout, the present study…

As science and technology advance rapidly, video semantic understanding (VSU) technology has made significant strides. This technology has garnered widespread recognition within the music industry and piqued the interest of film and television music creators. In the realm of film music creation, VSU technology serves as a powerful tool,…