AI in mathematics education: A bibliometric analysis of global trends and collaborations (2020-2024)

Eurasia Journal of Mathematics Science and Technology Education, Journal Year: 2025, Volume and Issue: 21(2), P. em2576 - em2576

Published: Feb. 2, 2025

This bibliometric study analyzes the scientific production on use of artificial intelligence (AI) in mathematics education between 2020 and 2024. Based a sample 384 documents extracted from 155 international sources, evaluates emerging trends, collaboration patterns among authors countries, main themes related to AI education. The analysis was conducted using Biblioshiny tool RStudio, generating network maps thematic graphs that visualize relationships keywords collaborations. results show China United States lead terms productivity collaboration. A growing interest generative emerges, including deep learning ChatGPT, educational contexts for purpose assessment learning. present provides clear overview current dynamics research education, highlighting opportunities interdisciplinary

Language: Английский

---

Evaluating the Effectiveness of AI Tools in Mathematical Modelling of Various Life Phenomena: A Proposed Approach

Iraqi journal of data science., Journal Year: 2025, Volume and Issue: 2(1), P. 16 - 25

Published: Jan. 30, 2025

Advances in artificial intelligence (AI) are transforming the landscape of mathematical modelling areas including physics, biology, and chemistry. Research suggests that ChatGPT, Gemini, other AI tools can change way researchers use simulation modeling for complex phenomena by helping to produce models faster with less computational complexity real-time insights. Here, we introduce a novel framework building life sciences using applications disease dynamics ecological systems. The approach integrates into process hybrid model combines initial formulations based on AI-assisted discussions refinements expert validation AI-generated output. To give an example, if interested outbreaks, platforms such as ChatGPT or Gemini instantly build simple susceptible-infectious-recovered (SIR) model. This also helps high dataset processing making parameter suggestions data, which turn dynamic adaptation changing data (e.g. transmission rates intervention strategies). Likewise, modelling, aid generation predator-prey consider these interactions, habitat fragmentation reserved zones then suggest sensitivities observed trends. These abilities make future AI-based especially exciting, they will further decrease time is traditionally spent manually defining allow them focus result interpretation strategic decision-making. With rapidly advances tools, incorporating some new capabilities developments procedure may unprecedented improvements predictive performance, flexibility interdisciplinary investigations. Further research real-world efforts this needed determine improve cost-effectiveness affordability many fields science.

Language: Английский

---

Pre-service Mathematics Teachers’ and Engineering Students’ Perceptions of ChatGPT in Mathematics: Development, Validation And Implementation Study

Digital Experiences in Mathematics Education, Journal Year: 2025, Volume and Issue: unknown

Published: March 29, 2025

Language: Английский

---

Analysis of Practical Characteristics in Simulated Elementary Science Lessons Earth and Space Using ChatGPT

Journal of the Korean earth science society, Journal Year: 2025, Volume and Issue: 46(1), P. 78 - 95

Published: Feb. 28, 2025

Language: Английский

---

Investigating The Effect of Artificial Intelligence Based Tools on Pre-Service Mathematics Teachers’ Concept Images

e-Kafkas Eğitim Araştırmaları Dergisi, Journal Year: 2025, Volume and Issue: 12(1), P. 213 - 231

Published: April 22, 2025

Artificial intelligence (AI) and AI-based tools are becoming increasingly important in mathematics education due to their potential enrich learning experiences, provide customized solutions, increase the effectiveness of processes. This case study was conducted examine impact tool experiences on pre-service teachers' (PMTs) mathematical concept images. As a result content analysis, data were categorized under themes component, understanding, association, changes PMTs' images after ChatGPT examined according these themes. Although not always, experience had an effect general. In particular, PMTs mentioned more components that directly related concepts, while associating concepts with different terms decreased. However, there partial transformations understandings concepts. While subjective knowledge decreased, objective increased unnecessary repetitions conclusion, contributed development PMTs, but this contribution at same level for all

Language: Английский

---

ChatGPT integration significantly boosts personalized learning outcomes: A Philippine study

International Journal of Educational Management and Development Studies, Journal Year: 2024, Volume and Issue: 5(2), P. 165 - 186

Published: June 8, 2024

This study investigated the impact of AI integration, specifically ChatGPT, on personalized learning involving 785 college students in Philippines who took online survey. Utilizing regression analysis and an Omnibus ANOVA test, examined influence Integration alongside demographic variables such as age, sex, educational level, type school learning. Results indicate that integration can explain a substantial portion variability outcomes (approximately 88.54%). Specifically, ChatGPT demonstrates significant positive effect learning, suggesting increases, experiences also increase. However, show minimal effects outcomes, except for potential trend higher scores private universities colleges compared to state colleges. These findings underscore pivotal role technologies, like enhancing while highlighting need further exploration contextual factors influencing outcomes. The implications extend beyond offer insights stakeholders policymakers, emphasizing benefits AI-driven initiatives. limitations sample characteristics, measurement bias, technology accessibility should be addressed future research endeavors maximize education.

Language: Английский

---

Pre-service Physical Sciences Teachers’ Views on Integrating ChatGPT into Teaching: A Case Study

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 23, 2024

The emergence of artificial intelligence, exemplified by generative chatbots like ChatGPT, has elicited optimism among some educators regarding enhanced teaching and learning methods. Simultaneously, it raised concerns others who perceive these as disruptive to established pedagogical norms developed over centuries. This study investigated analysed pre-service teachers' perceptions integrating ChatGPT into physical sciences at a rural university. A case research design that used qualitative approach was collect, analyse interpret data. methodology employed gain comprehensive insight the viewpoints held science teachers. explored benefits potential challenges incorporating emerging technologies sciences. theoretical framework guided technological, content knowledge. Eleven purposively sampled teachers participated in semi-structured interviews. collected data were using thematic analysis. findings contribute lesson planning, preparation, presentation formative assessment. However, revealed inability answer questions great concern. These shed light on how intelligence can be incorporated learning. provide insights for policymakers, researchers deepen their understanding role education.

Language: Английский

---

Exploring the Effectiveness of Advanced Chatbots in Educational Settings: A Mixed-Methods Study in Statistics

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8984 - 8984

Published: Oct. 5, 2024

The Generative Pre-trained Transformer (GPT) is a highly advanced natural language processing model. This model can generate conversation-style responses to user input. rapid rise of GPT has transformed academic domains, with studies exploring the potential chatbots in education. research investigates effectiveness ChatGPT 3.5, 4.0 by OpenAI, and Chatbot Bing Microsoft solving statistical exam-type problems educational setting. In addition quantifying errors made these chatbots, this study seeks understand causes provide recommendations. A mixed-methods approach was employed achieve goal, including quantitative qualitative analyses (Grounded Theory semi-structured interviews). stage involves problem-solving exercises for undergraduate engineering students, revealing error rates based on reason error, fields, sub-statistics exercise types. analysis provided crucial information necessary proceed study. employs interviews selected chatbots; includes confrontation between them that generates agreement, disagreement, differing viewpoints. On some occasions, tend maintain rigid positions, lacking ability adapt or acknowledge errors. inflexibility may affect their effectiveness. findings contribute understanding integration AI tools education, offering insights future implementations emphasizing need critical evaluation responsible use.

Language: Английский

---

Prompting for pedagogy? Australian F-10 teachers’ generative AI prompting use cases

The Australian Educational Researcher, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Language: Английский

---