This study investigated the effectiveness of localized learning content (LLC) in enhancing computational thinking (CT) skills and learning motivation among 6th-grade elementary school students in Busan, South Korea. In contrast to conventional methodological approaches, our research focuses on the transformative power of culturally and…

This study assesses and ascertains the relationship between university infrastructure and student satisfaction, emphasizing how facilities influence students' academic experiences and overall well-being. Using a convergent parallel mixed-methods approach, the research collected quantitative and qualitative data from over 1,600 students across 13…

A disadvantage that A&P classrooms using 3-D digital computer anatomical models experience is the disconnect between digital and physical models traditionally used. This project used 3-D digital models on smart tablets and traditional physical models for in-class A&P lab practical exam studying and preparation. We focused on the hands-on…

The learning model based on visual and auditory elements, which reflects the modern education process, plays an important role in taking students' readiness levels to the highest levels by directly penetrating their innovative and creative thinking skills. Therefore, the aim is to determine the effects of digital animation technology, an essential…

Background/purpose: Artificial Intelligence (AI) is transforming education through adaptive learning systems, intelligent tutoring, and personalized instruction. Although AI has become increasingly prominent in language education, its specific impact on enhancing Arabic proficiency has not been adequately explored, especially in terms of student…

Background/purpose: This research is motivated by the difficulties often experienced by students in adapting to their first year of college, especially related to learning calculus. To address these difficulties, a solution needs to be found so that these problems can be resolved. One solution that is expected to yield optimal results in…

Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…

Mathematical proof, often regarded as the heart of mathematics, is essential for interconnected mathematical knowledge. However, proof-writing skills do not develop inherently. Effective learning environments are vital for university students to enhance these skills. This study investigates the impact of the ISMAT model on pre-service teachers'…

Given the popularization of artificial intelligence in education, this study explores this technology's effects on emergent bilinguals' writing and revision. Large Language Models have become prevalent as supports for teachers and students in revising. Yet, research has not examined the intricacies of using these tools with emergent bilinguals.…

Computer-supported collaborative learning (CSCL) is considered an effective strategy for knowledge construction, and research on CSCL in cross-cultural contexts is of great significance for improving the knowledge construction and learning outcomes in minority regions. This study focuses on the relationship between thinking styles and role…

Generative Artificial Intelligence (GenAI) is a transformative technology in education, especially in lesson planning (LP). This research examines pre-service teachers' (PSTs) perceptions of GenAI benefits and ethical risks in LP, with consideration for the Technology Acceptance Model (TAM). The findings show that PSTs are generally cognizant of…

This paper quantifies learning losses between 2020 and 2022 in the Dominican Republic, an upper-middle-income country. The paper uses data from a sample of ninth-grade students who benefited from computer adaptive learning software during this period. This study is among a few to measure actual losses among secondary school students, and it is the…

Although e-learning is considered one of the leading teaching methods in higher education, both learners and instructors face significant challenges owing to reduced social interaction compared with traditional classroom learning. In this study, we explore the leveraging of recent developments in generative artificial intelligence (AI) and create…

Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…

Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…