Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

The surge in technology adoption has transformed students into 'digital natives' who require innovative teaching methods to enhance their engagement and learning. This paper investigates the impact of integrating QuickBooks®, an accounting mobile app, on students' learning, engagement, and interest in the course. It utilizes a survey questionnaire…

Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…

This study investigates the interactional functions of the "Slightly Smiling Face" (SSF) emoji in Chinese WeChat conversations through the lens of Conversation Analysis (CA). Drawing on 50 naturally occurring chat excerpts involving 12 participants across various relationship types, the study identifies three core uses of the SSF emoji:…

Human intelligence is related to cognitive skills such as the acquisition of new knowledge, problem-solving and abstract thinking in learning processes. These processes are of great importance in mathematical education. Artificial intelligence (AI) can help students develop these cognitive skills by providing customized teaching methods according…

Artificial Intelligence (AI) technology is reshaping the ways humans study and work across various disciplines. In the field of music, AI technology shows its possibility to empower individuals at diverse levels of musical knowledge in music creation, from novices to experts. In this article, I explore philosophical questions within both AI…

The rapid advancement of generative AI technologies is increasingly accompanied by their broader application across various sectors, particularly within creative industries. In this study, IBM Watson BEAT software, based on generative AI technology, was tested as an educational tool in the process of teaching music composition theory to flute…

Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…

In the field of education, the think-aloud protocol is commonly used to encourage learners to articulate their thoughts during the learning process, providing observers with valuable insights into learners' cognitive processes beyond the final learning outcomes. However, the implementation of think-aloud protocols faces challenges such as task…

The emergence of generative AI (GenAI) has illustrated that higher education needs to adapt to the technology. Its speed of evolution requires that we adequately prepare students for an ever-changing landscape. Toward achieving that aim, we draw on the concept of interpretive flexibility, where the interpretations, uses, and outcomes of a new…

This research aims to explore both the individual and combined relationships between the use of GeoGebra and productive disposition with students' strategic competence. The use of GeoGebra involves teacher-led activities designed to assist students in managing and engaging with learning, serving as a tool to enhance mathematics learning outcomes.…

Recent research on more comprehensive models of student learning in adaptive math learning software used an indicator of student reading ability to predict students' tendencies to engage in behaviors associated with so-called "gaming the system." Using data from Carnegie Learning's MATHia adaptive learning software, we replicate the…

Modern software companies prioritize high-quality products for competitiveness, and Software Process Improvement (SPI) models help achieve this. In Brazil, the Brazilian Software Process Improvement Model ("MPS-SW" model) is widely used, but its complexity and extensive documentation make it challenging to teach in undergraduate courses.…

Despite its importance for their academic achievement, many English Language majors find syntax a challenging subject matter, causing many syntactic inadequacies in their oral and written examinations. Tree diagrams have been used in syntactic analysis because of their distinct advantages in syntactic representation and organization.…

This study investigates user experience (UX) priorities in early childhood education applications by analyzing Korean-language user reviews using Bidirectional Encoder Representations from Transformers topic modeling (BERTopic). Eighteen latent topics were extracted and systematically mapped to the eight software quality characteristics defined by…