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Tue 12 Oct 2021 13:10 - 13:20 - Teaching About Machine Learning and AI Chair(s): Franklyn Turbak

Recent years have seen the rapid adoption of artificial intelligence (AI) in every facet of society. The ubiquity of AI has led to an increasing demand to integrate AI learning experiences into K-12 education. Early learning experiences incorporating AI concepts and practices are critical for students to better understand, evaluate, and utilize AI technologies. AI planning is an important class of AI technologies in which an AI-driven agent utilizes the structure of a problem to construct plans of actions to perform a task. Although a growing number of efforts have explored promoting AI education for K-12 learners, limited work has investigated effective and engaging approaches for delivering AI learning experiences to elementary students. In this paper, we propose a visual interface to enable upper elementary students (grades 3-5) to formulate AI planning tasks within a game-based learning environment. We present our approach to designing the visual interface as well as how the AI planning tasks are embedded within narrative-centered gameplay structured around a Use-Modify-Create scaffolding progression. Further, we present qualitative analysis results from piloting the visual interface with upper elementary students. We discuss how the Use-Modify-Create approach supported student learning as well as discuss the misconceptions and usability issues students encountered while using the visual interface to formulate AI planning tasks.

Tue 12 Oct

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13:00 - 13:40
Teaching About Machine Learning and AIResearch Papers
Chair(s): Franklyn Turbak Wellesley College
13:00
10m
Paper
Exploring Machine Teaching with ChildrenFull paper
Research Papers
Utkarsh Dwivedi University of Maryland, Jaina Gandhi Clumio, Raj Parikh Bloomberg, Merijke Coenraad University of Maryland, Elizabeth Bonsignore University of Maryland, Hernisa Kacorri University of Maryland, College Park
13:10
10m
Paper
Designing a Visual Interface for Elementary Students to Formulate AI Planning TasksFull paper
Research Papers
Kyungjin Park North Carolina State University, Bradford Mott North Carolina State University, Seung Lee North Carolina State University, Krista Glazewski Indiana University, J. Adam Scribner Indiana University, Anne Leftwich Indiana University, Cindy Hmelo-Silver Indiana University, James Lester North Carolina State University
13:20
10m
Paper
ChatrEx: Designing Explainable Chatbot Interfaces for Enhancing Usefulness, Transparency, and TrustFull paper
Research Papers
Anjali Khurana Simon Fraser University, Parsa Alamzadeh Simon Fraser University, Parmit Chilana Simon Fraser University
13:30
10m
Short-paper
Teaching Students About Conversational AI Using Convo, a Conversational Programming AgentShort paper
Research Papers
Jessica Zhu Massachusetts Institute of Technology, Jessica Van Brummelen MIT