This article considers the rise of generative Artificial Intelligence (GenAI) in the context of secondary mathematics education, focusing on its responses to cognitively demanding tasks and the pedagogical implications of these interactions. Using tools such as ChatGPT (OpenAI) and Gemini (Google), we investigate how GenAI engages in complex…

Introduction: As technology progresses, individuals will be increasingly expected to solve digital tasks. At the same time, many worry that a high use of connected devices will reduce young people's ability to perform with accuracy long cognitively challenging tasks online. Methods: We examine whether 15-year-old students' ability to accurately…

This study explores the effects of a computer algebra system on students' mathematical thinking. Mathematical thinking is identified with mathematical thinking powers and structures. We define mathematical thinking as students' capacity to specialize and generalize their previous knowledge to solve new mathematical problems. The study was…

[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] We present a study in which a version of a common conservation of mechanical energy introductory physics problem, an object released on an inclined plane, is given to OpenAI's GPT-4 large language model (LLM). We…

Much attention has been paid to computational thinking (CT) as a problem-solving approach across various curricula, particularly in mathematics. Most studies solely used a digital instrument or examined transfer of program solving ability, neglecting the mathematics knowledge domain or how the novel digital instrument functions alongside the…

Background/purpose: This research is motivated by the difficulties often experienced by students in adapting to their first year of college, especially related to learning calculus. To address these difficulties, a solution needs to be found so that these problems can be resolved. One solution that is expected to yield optimal results in…

Problem-solving skills are essential in improving the creative, critical, and logical thinking skills needed in mathematics learning and daily life. This study aims to examine the effectiveness of problem-based learning (PBL)- assisted ethnomathematics-based Geocube e-module on problem-solving skills. This quantitative research applied a…

This study assesses the performance of ChatGPT in comparison with that of undergraduate students in 60 multiple-choice questions (MCQs) of Corporate Finance exams that sought to measure students' abilities to solve different types of questions (descriptive and numerical) and of varying difficulty levels (basic and intermediate). Our results…

The metaverse is defined as an inevitable evolution of the internet and holds great potential as a new medium for social interaction. Its integration into educational environments has been increasingly recommended. This study aimed to explore a technology-supported solution for the challenges experienced in the problem-based learning (PBL) process…

Aim/Purpose: This study examined the understudied perceptions of higher education instructors on the use of art-based AI generators in digital art, design, and creative-based courses and answered the research questions: (1) how disruptions by generative artificial intelligence (GenAIs) are impacting teaching, and (2) what are the major factors…

This study aims to prepare statistics activity-targeting comprehension of the arithmetic mean, consisting of worked-out example explanations through ChatGPT for sixth graders; determine situations encountered during the implementation of the activity; ascertain the effect of the activity on students' mathematics problem-solving performance; and…

This study explores the effectiveness of GeoGebra in enhancing students' understanding of vectors in mathematics education. The research compares traditional teaching methods with the application of GeoGebra to determine its impact on conceptual and procedural knowledge acquisition. Vectors are often challenging for students to grasp due to their…

DBL is a novel pedagogical approach intended to improve students' conditional knowledge and problem-solving skills by exposing them to a sequence of branching learning decisions. The DBL software provided students with ample opportunities to engage in the expert decision-making processes involved in complex problem-solving and to receive…