The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review…

This study aimed to evaluate the role of AI in preschool from the perspective of preschool teachers. The research group consisted of 101 preschool teachers. The study group was selected according to the easily accessible case sampling method, one of the purposeful sampling methods. The study was a phenomenology, which is a qualitative research…

This paper analyzes essay writing in AI (ChatGPT) and high school students, focusing on their use of specific details. Discussing the writing examples from Waltzer, Cox, and Heyman's study, we employ Aristotle's rhetorical theory to explore how clarity is achieved through specificity in writing. The analysis reveals both ChatGPT and students…

Amalgamating generative artificial intelligence (Gen AI), Bloom's taxonomy and critical thinking present a promising avenue to revolutionize assessment pedagogy and foster higher-order cognitive skills needed for learning autonomy in the domain of self-directed learning. Gen AI, a subset of artificial intelligence (AI), has emerged as a…

This article highlights the foundational challenge of rapid interprofessional student team formation and the potential challenges that groupthink poses for newly formed teams participating in collaborative problem based learning activities. This article describes a mixed-methods study that addresses groupthink by introducing a generative…

As artificial intelligence (AI) rapidly transforms higher education, faculty are increasingly expected to integrate AI tools into curriculum design, assessment, and instruction, often without adequate preparation. This article examines how Centers for Teaching and Learning (CTLs) can effectively support faculty adopting AI technologies through…

Research consistently shows the importance of teacher and peer feedback in enabling students to generate internal feedback for improved learning. However, the utilisation of Generative Pre-Trained Transformer (ChatGPT) to support higher education students in generating internal feedback lacks clarity. This qualitative case study aimed to explore…

This study explores machine learning (ML) for assessing elementary students' scientific argumentation skills, addressing the inefficiency of traditional teacher-based evaluations. We developed tailored test questions and scoring rubrics, collecting data from sixth-graders in China. Four shallow learning algorithms (Polynomial Naive Bayes, k-NN,…

This cross-sectional study explores Chinese college students' perceptions of ChatGPT in higher education, focusing on their attention, interest, and attitude. Students (N = 476) were surveyed from 67 universities and colleges in 17 provinces and municipalities in China. Students were generally positive about the use of ChatGPT. They recognized…

The relationship between AI and literacy education isn't simple. Every tool that makes work more efficient also requires careful consideration. In this measured look at the powerful capabilities of artificial intelligence, literacy experts Mary Ehrenworth and Philip Seyfried take K-12 teachers on a tour of what's possible when AI tools are…

Background/purpose: Education continues to evolve along with technological advances, and one of the biggest changes is the application of artificial intelligence (AI) in the learning process. The main problem in this study is the lack of in-depth understanding of the factors that influence the effectiveness of using AI in self-paced learning…

Using a qualitative, multiple cross-sectional research design, this study investigated the evolving perspectives on the use of artificial intelligence (AI) and academic integrity between two cohorts of English as a Foreign Language learners (n = 48 and n = 96, respectively) enrolled in an English Language Preparatory Program at a Turkish…

This study explores machine learning (ML) approaches for identifying gifted students by integrating academic and socioemotional characteristics from the data collected with the Having Opportunities Promotes Excellence teacher rating scale. By using the Gaussian Mixture Model (GMM) and ML approaches, including support vector machine (SVM) and…

It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…

The development of Generative Artificial Intelligence (GenAI) has led to intense wonder, surprise, excitement, and concern within the language teaching profession. These tools offer the potential to assist language teachers in helping their learners achieve their language learning goals, and at the same time, risk disrupting language teaching and…