We investigated the effect of short-term teaching (3 weeks) using image analysis on gymnasium/secondary school students' (ISCED3A) skills (science process skills, SPS) and knowledge using Fiji (ImageJ) software. The theoretical teaching was combined with IT-based education (measurement of the area or signal intensity on photos from scientific…

This systematic review, utilizing the PRISMA framework, analyzes 248 international and 143 Iranian articles to provide an overview of studies on games in education. It examines five key themes: common terminology, methodology, type of study, variables studied, and technologies used, presenting findings in the same order of priority.…

In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…

Background/purpose: This study addresses the lack of statistical thinking skills among Applied College students, a key requirement for professional success. Traditional statistics education focuses on procedural and computational methods rather than conceptual understanding, leading to misconceptions and difficulties in data organization,…

To promote computational thinking in mathematics education, Scratch is used to foster students' computational thinking and mathematical understanding. However, students face challenges in block-based programming environments, such as having low motivation, high anxiety, and cognitive loads. This study combined the pedagogical values of Geogebra…

Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…

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…

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…

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…

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.…

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.…