#4518

Workshop Machine Learning in CALL

Thinking Like a Programmer: Leveraging Agentic AI and Computational Thinking for CALL Researchers

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In the evolving landscape of Computer-Assisted Language Learning (CALL), agentic AI tools such as Gemini CLI, Antithesis, and Claude Code are revolutionizing software development. However, their potential for academic research remains largely untapped. This hands-on workshop demonstrates how researchers can adopt a "programmer’s mindset" to enhance workflows, data analysis, and information gathering. Grounded in the framework of computational thinking (Wing, 2006), the session teaches participants to approach prompting methodically—moving beyond simple chat interfaces toward structured, automated processes. The workshop is divided into two practical components. First, attendees will learn how to install and manage agentic AI tools locally, providing greater control over their research environment. Second, participants will be introduced to core computational thinking principles—such as decomposition and algorithmic design—alongside basic programming concepts to automate some tasks and boost productivity. By bridging the gap between software engineering and applied linguistics, this workshop empowers CALL researchers to leverage cutting-edge AI as a sophisticated research assistant. Participants will leave with the foundational skills necessary to transform their approach to data and research design. No prior programming experience is required.