{"title":"Hands-on Active Learning Approach to Teach Artificial Intelligence/Machine Learning to Elementary and Middle School Students","authors":"Neelu Sinha, Ryan F. Evans, Mackenzie Carbo","doi":"10.1109/WOCC58016.2023.10139678","DOIUrl":null,"url":null,"abstract":"The last decade has seen a surge in expanding access to Computer Science (CS) education, especially for K-12, with many states even stipulating student learning standards in CS and Computational Thinking (CT). Our 21st century K-12 students are no longer just computer users, but are now required to be computationally literate creators with proficient skills both in the concepts and practices of CS and CT. At the same time, technology continues to pervade our lives and expand at a relentless pace and all aspects of our lives are now embedded in technology surrounded by Artificial Intelligence (AI). AI in the form of Machine Learning (ML) is a key technology in a diversity of applications, where we use sensors to meaningfully perceive the world around us, analyze and organize the perceived data, and autonomously use that data to make predictions and decisions. In higher education, AI/ML courses proliferate, with many institutions now conferring degrees and certifications in these. To an extent, some high schools (grades 9–12) have started introducing these concepts in a technology class, or a robotics club, or as an after-school activity. As for middle (grades 6–8) and elementary school (grades K-5), there are very few examples of such instruction. In this paper, we present a complete framework for elementary and middle school teachers to help them prepare and incorporate AI/ML lessons in their classrooms using hands-on active learning strategies. We want to empower these teachers to impart improved learning to their students, which in turn will prepare their students to become effective thinkers, problem solvers, communicators, and gain necessary skills for high-skilled and high-demand jobs. We describe a detailed AI/ML lesson plan based on standards and framework, AI4K12 big ideas, art and science of curriculum design, active learning, and culturally responsive and inclusive pedagogy. Then we discuss our experiences in teaching the same to $\\boldsymbol{4}^{\\mathbf{th}}$ grade students in an elementary school.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 32nd Wireless and Optical Communications Conference (WOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCC58016.2023.10139678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The last decade has seen a surge in expanding access to Computer Science (CS) education, especially for K-12, with many states even stipulating student learning standards in CS and Computational Thinking (CT). Our 21st century K-12 students are no longer just computer users, but are now required to be computationally literate creators with proficient skills both in the concepts and practices of CS and CT. At the same time, technology continues to pervade our lives and expand at a relentless pace and all aspects of our lives are now embedded in technology surrounded by Artificial Intelligence (AI). AI in the form of Machine Learning (ML) is a key technology in a diversity of applications, where we use sensors to meaningfully perceive the world around us, analyze and organize the perceived data, and autonomously use that data to make predictions and decisions. In higher education, AI/ML courses proliferate, with many institutions now conferring degrees and certifications in these. To an extent, some high schools (grades 9–12) have started introducing these concepts in a technology class, or a robotics club, or as an after-school activity. As for middle (grades 6–8) and elementary school (grades K-5), there are very few examples of such instruction. In this paper, we present a complete framework for elementary and middle school teachers to help them prepare and incorporate AI/ML lessons in their classrooms using hands-on active learning strategies. We want to empower these teachers to impart improved learning to their students, which in turn will prepare their students to become effective thinkers, problem solvers, communicators, and gain necessary skills for high-skilled and high-demand jobs. We describe a detailed AI/ML lesson plan based on standards and framework, AI4K12 big ideas, art and science of curriculum design, active learning, and culturally responsive and inclusive pedagogy. Then we discuss our experiences in teaching the same to $\boldsymbol{4}^{\mathbf{th}}$ grade students in an elementary school.