This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…

This study evaluates Large language models (LLMs)' performance on Chinese Postgraduate Medical Entrance Examination (CPGMEE) as well as the hallucinations produced by LLMs and investigate their implications for medical education. We curated 10 trials of mock CPGMEE to evaluate the performances of 4 LLMs (GPT-4.0, ChatGPT, QWen 2.1 and Ernie 4.0).…

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…

Significant advancements in artificial intelligence (AI) technologies have led to the development of Google Gemini, which can be used to provide automated writing assistance. Within higher education, this feature extends to research writing. However, skepticism is particularly evident as students, teachers, and researchers in universities explore…

Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…

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,…

Computer programming provides a framework for interdisciplinary learning in sciences, arts and languages. However, increasing integration of programming in K--12 shows that the block-based and text-based dichotomy of programming environments does not reflect the spectrum of their affordance. Hence, educators are confronted with a fundamental…

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…

The growing significance of artificial intelligence and numerous AI supported educational applications have attracted the attention of educators worldwide. Consequently, AI and software developers have begun creating numerous AI supported applications for teaching and learning. The paper explains the importance of the impacts of the Microsoft…

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…