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Bradford Mott

7 accepted papers

2026

Co-Designing Unplugged Learning Activities with K-2 Teachers for Early AI Literacy Education

Jessica Vandenberg, Keisha Bailey, Claire Aguiar, Cecilia Xuning Zhang, Danny Schmidt, Treshonda Rutledge +2
AAAI 2026technical

Introducing AI concepts in the earliest years of schooling can help children make sense of intelligent technologies, yet few resources exist for K–2 classrooms. This paper presents the design and outcomes of a professional development (PD) program supporting K–2 teachers as they explored AI literacy

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2026

From Embeddings to Chatbots: Playful NLP Activities for Middle School AI Literacy

Jessica Vandenberg, Alex Goslen, Claire Aguiar, Wookhee Min, Veronica Cateté, Bradford Mott
AAAI 2026technical

As large language models (LLMs) and chatbots become increasingly prevalent, there is an urgent need to create engaging, age-appropriate learning activities that foster foundational AI literacy with a focus on natural language processing (NLP). This paper presents the iterative design and implementat

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2025

Shaping AI Interest in Rural Middle Schools with Unplugged Learning: Gender Differences and Teacher Insights

Hansol Lim, Danielle Boulden, Jessica Vandenberg, Veronica Cateté, Wookhee Min, Bradford Mott
AAAI 2025technical

Adoption of artificial intelligence (AI) is at an inflection point. With daily use of AI escalating due to widely available software tools, educators, researchers, and policymakers must adapt swiftly to changing educational needs. While think tanks and Big Tech companies often promote the notion tha…

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2024

Dual Process Masking for Dialogue Act Recognition

Yeo Jin Kim, Halim Acosta, Wookhee Min, Jonathan Rowe, Bradford Mott, Snigdha Chaturvedi +1
EMNLP 2024finding

Dialogue act recognition is the task of classifying conversational utterances based on their communicative intent or function. To address this problem, we propose a novel two-phase processing approach called Dual-Process Masking. This approach streamlines the task by masking less important tokens in…

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2024

Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning

Anisha Gupta, Seung Lee, Bradford Mott, Srijita Chakraburty, Krista Glazewski, Anne Ottenbreit-Leftwich +3
AAAI 2024technical

Artificial intelligence (AI) is quickly finding broad application in every sector of society. This rapid expansion of AI has increased the need to cultivate an AI-literate workforce, and it calls for introducing AI education into K-12 classrooms to foster students’ awareness and interest in AI. With…

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2024

Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game

Hansol Lim, Wookhee Min, Jessica Vandenberg, Veronica Cateté, Bradford Mott
AAAI 2024technical

With the growing prevalence of AI, the need for K-12 AI education is becoming more crucial, which is prompting active research in developing engaging and age-appropriate AI learning activities. Efforts are underway, such as those by the AI4K12 initiative, to establish guidelines for organizing K- 12…

Cited by 5Source ↗PDF ↗Scholar ↗
2023

Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers

Vikram Kumaran, Jonathan Rowe, Bradford Mott, Snigdha Chaturvedi, James Lester
ACL 2023findings

Recognizing classroom dialogue acts has significant promise for yielding insight into teaching, student learning, and classroom dynamics. However, obtaining K-12 classroom dialogue data with labels is a significant challenge, and therefore, developing data-efficient methods for classroom dialogue ac…

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