Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking
Chatbot Research and Design Lecture Notes in Computer Science(2023)
摘要
Computational thinking, and by extension, computer programming, is
notoriously challenging to learn. Conversational agents and generative
artificial intelligence (genAI) have the potential to facilitate this learning
process by offering personalized guidance, interactive learning experiences,
and code generation. However, current genAI-based chatbots focus on
professional developers and may not adequately consider educational needs.
Involving educators in conceiving educational tools is critical for ensuring
usefulness and usability. We enlisted instructors to engage
in design fiction sessions in which we elicited abilities such a conversational
agent supported by genAI should display. Participants envisioned a
conversational agent that guides students stepwise through exercises, tuning
its method of guidance with an awareness of the educational background, skills
and deficits, and learning preferences. The insights obtained in this paper can
guide future implementations of tutoring conversational agents oriented toward
teaching computational thinking and computer programming.
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