This paper delves into the theoretical dimensions of metacognition, exploring how learners' awareness of their learning strategies and thought processes impacts language acquisition. Metacognition, or the awareness and regulation of one's own cognitive processes, plays a pivotal role in language learning by empowering learners to navigate the…

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…

Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…

There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…

Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at…

AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…

Early care and education (ECE) teachers play a significant role in creating the social and emotional learning climate in the classroom. The present qualitative study explores short and long-term outcomes of Social Emotional Learning for Teachers (SELF-T), an online intervention that was delivered as part of a comprehensive professional development…

Background: The increasing capabilities of generative artificial intelligence (AI), exemplified by OpenAI's transformer-based language model GPT-4 (ChatGPT), have drawn attention to its application in educational contexts. This study evaluates the potential of such models in generating German reading comprehension texts for educational large-scale…