This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed a comprehensive literature search across seven research databases, selected studies based on predefined criteria, and summarized 60 relevant studies that employed LLMs in the AIG process. We identified the most commonly…

Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

As artificial intelligence(AI) is utilised throughout society, the need to improve AI literacy as an essential competency, not only for specific experts but also for general citizens, is increasing. Therefore, several studies are being conducted on AI education, and attempts are being made to introduce it into the regular education curriculum.…

This study aims to adapt to Turkish the "Scale for the assessment of non-experts: AI literacy" developed by Laupichler et al. (2023a). The scale consists of 31 items with three sub-dimensions: technical understanding, critical thinking, and practical applications. The data required for the validity and reliability study of the scale were…

A critical component of modern software development practices, particularly continuous integration (CI), is the halt of development activities in response to test failures which requires further investigation and debugging. As software changes, regression testing becomes vital to verify that new code does not affect existing functionality.…

The rapid expansion of Artificial Intelligence (AI) in our society makes it urgent and necessary to develop young students' AI literacy so that they can become informed citizens and critical consumers of AI technology. Over the past decade many efforts have focused on developing curricular materials that make AI concepts accessible and engaging to…

The rapid evolution of AI technologies has reshaped our daily lives. As AI systems become increasingly prevalent, AI literacy, the ability to comprehend and engage with these technologies, becomes paramount in modern society. However, existing research has yet to establish a comprehensive framework for AI literacy. This study aims to fill this gap…

The purpose of this research is to create a reliable and valid scale to assess AIlessphobia in Education (the fear of being without Artificial Intelligence in education) among university students. In three phases, a sample of 1378 undergraduate students from different faculties at a public university participated in the reliability and validity…

This study aims to examine the psychometric properties of a scale developed to measure teachers' ability to use artificial intelligence tools in education. The scale was originally proposed as having 33 items across 5 sub-dimensions by Chat GPT-4, an AI system. To establish content validity, the scale form was submitted to expert review. An…

With the rapid advancement of artificial intelligence (AI), AI creativity has demonstrated significant potential for application across various fields. This study aims to explore the multidimensional characteristics of AI creativity from the audience's perspective and to develop a corresponding measurement scale. Specifically, Study 1 utilized…

The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…

This study aims to examine the potential differences between teacher evaluations and artificial intelligence (AI) tool-based assessment systems in university examinations. The research has evaluated a wide spectrum of exams including numerical and verbal course exams, exams with different assessment styles (project, test exam, traditional exam),…

Artificial Intelligence (AI) is increasingly recognized as a transformative force in education, offering numerous benefits for classroom learning. This study aimed to develop and validate a scale for assessing AI competencies among teachers, focusing on their ability to integrate AI into teaching practices. The study involved 292 secondary-level…

This study introduces the "ChatGPT Usage Scale for Foreign Language Learners," designed to evaluate the usage of AI chatbots in language learning. The scale was developed based on a comprehensive literature review and expert evaluations, ensuring a strong theoretical foundation and content validity. It comprises three sub-dimensions…

This research aimed to develop and validate a rubric to assess Artificial Intelligence (AI) chatbots' effectiveness in accomplishing tasks, particularly within educational contexts. Given the rapidly growing integration of AI in various sectors, including education, a systematic and robust tool for evaluating AI chatbot performance is essential.…