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 popularity of generative AI chatbots, such as ChatGPT, has sparked numerous studies investigating their use in educational contexts. However, it is important to note that chatbots are not a new phenomenon; researchers have explored conversational agents across diverse fields for decades. Conversational agents engage users in natural language…

This systematic review synthesizes evidence on the impact of integrating Information and Communication Technology (ICT) and the flipped classroom model (FCM) on student motivation, engagement, and English language proficiency. Relevant studies from 2015 to 2023 were identified through electronic databases. Eligible studies examined the integration…

There is increasing interest in the use of artificial intelligence technologies, which have become a transformative force in the field of education, in educational fields that include subject areas that support lifelong learning, such as science and chemistry education. In this study, a systematic review was conducted on the use and effects of…

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…

Critical thinking (CT) has long been acknowledged as a fundamental goal of higher education, but how it associates with technology acceptance (TA) and learner engagement (LE) of Chinese learners of English as a foreign language (EFL) at the college level is underexamined. This article aimed to investigate the interrelationships among technology…

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…

Although various studies advocate for the integration of information and communication technologies in education, the forced digitization caused by the pandemic has yielded contradictory results on student learning. Conversely, research has shown that when students manage ICT, they achieve better learning outcomes but when teacher-centered…

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 an era where artificial intelligence (AI) is revolutionizing every facet of life, from how we shop to how we get our news, it's inevitable that AI is changing the way we teach and the way students learn. For students to thrive in this world, they need more than just the ability to use technology; they need to understand how it works, its…

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…

Background/purpose: In this systematic and bibliometric review, we aim to document the approaches and methodologies used to evaluate the impact of educational programs in high schools. Focusing on the main components, such as teacher training, student support, and technology integration, the study explores the different evaluation methodologies,…

The rapid development of the digital era has provided opportunities for career development through different digital platforms and created a new era of learning opportunities. In the context of India, the Study Webs of Active-Learning for Young Aspiring Minds (SWAYAM) is India's own Massive Open Online Courses (MOOCs) platform that was launched by…