INTEGRATING ARTIFICIAL INTELLIGENCE (AI) TOOLS INTO TEACHING MATHEMATICAL ECONOMICS IN TERTIARY EDUCATION

This paper examines the integration of artificial intelligence (AI) tools, specifically conversational agents like ChatGPT, in teaching mathematical economics in tertiary education. Recognizing the inherent challenges in mathematical economics—ranging from complex theoretical constructs to advanced quantitative methods—this study explores AI's potential to enhance student comprehension, engagement, and problem-solving skills. Drawing from existing literature on AI applications in education and learning sciences, this conceptual paper evaluates AI's role in delivering real-time support, facilitating interactive problem-solving, and offering personalized feedback, thereby addressing diverse student needs. Key areas of focus include AI-driven question-and-answer capabilities, scenario-based learning simulations, and guided problem-solving models that can reinforce theoretical knowledge through practical application. The paper further identifies potential challenges, including student overreliance on AI tools, possible misunderstandings in AI-generated solutions, and ethical concerns related to data privacy and academic integrity. By proposing a blended learning model, this paper suggests best practices for using AI as a supportive, non-replacement instructional tool. These best practices encompass educator training, responsible AI implementation, and fostering a balanced, interactive classroom environment. The findings contribute to a growing discourse on the responsible and effective use of AI in higher education, with implications for policy and practice in curriculum design, educational technology, and teaching strategies. Future research directions include empirical studies on AI’s impact on learning outcomes in mathematical economics, exploring how these tools can further enhance both student engagement and academic performance.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0899/a.php" alt="Hit counter" /></p>

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Publication Details

Journal
European Journal of Open Education and E-learning Studies
Published
2024-11-18
DOI
https://doi.org/10.46827/ejoe.v9i1.5683
Citations
5
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
2.45
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article

INTEGRATING ARTIFICIAL INTELLIGENCE (AI) TOOLS INTO TEACHING MATHEMATICAL ECONOMICS IN TERTIARY EDUCATION

Emmanouil Choustoulakis
5 citations
European Journal of Open Education and E-learning Studies
Impact of AI and Big Data on Business and Society
2.45
article

INTEGRATING ARTIFICIAL INTELLIGENCE (AI) TOOLS INTO TEACHING MATHEMATICAL ECONOMICS IN TERTIARY EDUCATION

Emmanouil Choustoulakis
article en
5 citations

Abstract

This paper examines the integration of artificial intelligence (AI) tools, specifically conversational agents like ChatGPT, in teaching mathematical economics in tertiary education. Recognizing the inherent challenges in mathematical economics—ranging from complex theoretical constructs to advanced quantitative methods—this study explores AI's potential to enhance student comprehension, engagement, and problem-solving skills. Drawing from existing literature on AI applications in education and learning sciences, this conceptual paper evaluates AI's role in delivering real-time support, facilitating interactive problem-solving, and offering personalized feedback, thereby addressing diverse student needs. Key areas of focus include AI-driven question-and-answer capabilities, scenario-based learning simulations, and guided problem-solving models that can reinforce theoretical knowledge through practical application. The paper further identifies potential challenges, including student overreliance on AI tools, possible misunderstandings in AI-generated solutions, and ethical concerns related to data privacy and academic integrity. By proposing a blended learning model, this paper suggests best practices for using AI as a supportive, non-replacement instructional tool. These best practices encompass educator training, responsible AI implementation, and fostering a balanced, interactive classroom environment. The findings contribute to a growing discourse on the responsible and effective use of AI in higher education, with implications for policy and practice in curriculum design, educational technology, and teaching strategies. Future research directions include empirical studies on AI’s impact on learning outcomes in mathematical economics, exploring how these tools can further enhance both student engagement and academic performance.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0899/a.php" alt="Hit counter" /></p>

European Journal of Open Education and E-learning StudiesVol. 9(1)
University of Peloponnese (GR)
Openalex Percentile: Top 10%
Impact of AI and Big Data on Business and Society
2.45
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INTEGRATING ARTIFICIAL INTELLIGENCE (AI) TOOLS INTO TEACHING MATHEMATICAL ECONOMICS IN TERTIARY EDUCATION — Emmanouil Choustoulakis · European Journal of Open Education and E-learning Studies (2024) | TGRS Research Map | TGRS