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Integrating AI and Generative AI Across the Curriculum: A Look at Three Subject Areas

Abstract

This paper examines how artificial intelligence (AI) and generative AI (GenAI) models, such as ChatGPT and other GenAI tools, can be effectively integrated into mathematics, computer science, and English classrooms. Students must understand foundational AI concepts and how these technologies function to facilitate meaningful engagement with AI and GenAI. This paper provides practical strategies for math educators to introduce AI algorithms in a way that connects with students' existing knowledge and real-life experiences. Furthermore, it examines how GenAI can enhance learning, supporting students at each stage of coding, reading, and writing. The ethical considerations of GenAI usage, including potential overuse by students, are discussed. The findings aim to guide educators in adopting best practices for teaching foundational AI concepts, utilizing various GenAI tools, and implementing AI-driven learning experiences effectively.

First Page

Introduction Effectively utilizing Generative AI (GenAI) is increasingly becoming a critical skill in the modern workplace [18]. Therefore, integrating GenAI into classrooms is essential for teaching students how to harness its capabilities while recognizing its limitations [17]. However, many educators may lack the foundational knowledge to incorporate GenAI into their teaching practices [12]. This paper aims to guide educators in introducing and integrating AI and GenAI across various subjects, providing practical tools and strategies to enhance learning. It also emphasizes addressing issues such as bias and students' potential overuse of GenAI. Theoretical Framework This paper draws on the theories of constructionism and cognitive science. Constructionism, developed by Seymour Papert [20], suggests that students learn most effectively through active construction rather than passive absorption. From a constructionist perspective, research on AI in education has focused on enhancing creativity, critical thinking, and metacognition by encouraging students to engage in creative projects that resonate with their interests [11, 20]. Cognitive science, first defined by Longuet-Higgins [14], examines how AI can help us understand human cognition and learning processes. From this perspective, AI can support personalized learning through tools like intelligent tutors and adaptive practice exercises [5]. This paper aims to demonstrate how integrating AI into mathematics classrooms can strengthen students’ mathematical skills in engaging ways. Furthermore, it highlights how advancements in GenAI can unlock students’ creative potential in writing and coding by providing individualized support throughout their learning process. Introduction to AI and Algorithms Artificial Intelligence (AI) and its underlying algorithms transform how educators approach teaching and learning across various disciplines. Integrating AI into the curriculum requires a foundational understanding of AI concepts and the algorithms that drive these systems [8]. As AI technologies advance, mathematics educators increasingly leverage AI-based tools to enhance student learning, boost engagement, and provide personalized learning experiences [23]. AI's application in education extends beyond simple automation; it offers opportunities to deepen understanding, provide real-time feedback, and tailor instruction to meet individual student needs. From intelligent tutoring systems to predictive analytics, AI’s potential to revolutionize the learning environment continues to grow.

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Conclusion Knowing how to use GenAI is essential for students to succeed in the workforce [18]. Despite this, many educators lack a basic understanding of integrating AI and GenAI into the classroom [24]. Introducing AI algorithms in the math classroom by connecting them to students’ lives can make it more engaging and relatable, strengthening students’ problem-solving skills and enhancing their understanding of AI and math. Similarly, integrating GenAI into computer science and English classrooms has the potential to improve student learning with personalized, immediate support, which can help educators have more time to focus on teaching essential concepts. However, educators and students must be aware of the ethical considerations of using GenAI, such as bias, copyright issues, and the potential for student overuse. Understanding that GenAI should support student learning, not do the work for them, is crucial. Future research should focus on how GenAI can impact student understanding of content over time [18]. This paper hopes to contribute to a growing discussion on utilizing AI and GenAI within education by showing how AI and GenAI have the potential to support both educators and students in math, computer science, and English classrooms. Lastly, by reading this paper, educators can learn about different AI and GenAI tools and the best strategies to introduce and integrate them across the curriculum.

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