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Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

Abstract BackgroundReal-time force feedback is essential in many surgical specialties. While previous research has focused on force measured at the tool-tissue interface, little work has explored the benefits...

Abstract The global challenge of effectively cultivating clinical thinking in medical students persists, often hindered by traditional textbooks that present knowledge in a linear sequence disconnected from the non-linea...

Mathematics in the Modern World (MMW) is a core general education course that develops quantitative reasoning and applied problem solving, yet many first-year students struggle with its concepts and applications. Such ch...

Purpose – This study critically examines the rapid expansion of artificial intelligence (AI) in digital learning, with a specific focus on how these technologies intersect with metacognitive skills and digital literacy...

Abstract The university instructors’ agency in Generative Artificial Intelligence (GenAI) integration in English Language Teaching (ELT) is still at an experimental stage, particularly in developing countries where tra...

Abstract Background Proficiency in surgical knot tying is a fundamental skill for surgical trainees, yet objective assessment tools are limited. Purpose This study aimed to develop and provide initial reliability and val...

Abstract BackgroundThe aging and caregiving population is becoming increasingly diverse in the United States, leading to a growing need for culturally adapted interventions to address the unique needs of unde...

Abstract BackgroundLong-term care facilities are increasingly caring for persons living with dementia as this population grows. Frontline care workers provide most hands-on support, yet they often have limite...