Redefining Computer Science Education: Code-Centric to Natural Language Programming with AI-Based No-Code Platforms
David Y.J. Kim

TL;DR
This paper discusses how AI-powered no-code platforms are transforming computer science education by enabling natural language programming, shifting the traditional coding-centric approach to more accessible, conversational interfaces.
Contribution
It introduces the concept of integrating natural language programming via AI-based no-code platforms into computer science curricula, highlighting a significant pedagogical shift.
Findings
AI no-code platforms enable natural language programming
Educational strategies must adapt to new human-computer interaction modes
Shift from traditional coding to conversational interfaces in CS education
Abstract
This paper delves into the evolving relationship between humans and computers in the realm of programming. Historically, programming has been a dialogue where humans meticulously crafted communication to suit machine understanding, shaping the trajectory of computer science education. However, the advent of AI-based no-code platforms is revolutionizing this dynamic. Now, humans can converse in their natural language, expecting machines to interpret and act. This shift has profound implications for computer science education. As educators, it's imperative to integrate this new dynamic into curricula. In this paper, we've explored several pertinent research questions in this transformation, which demand continued inquiry and adaptation in our educational strategies.
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Taxonomy
TopicsRobotics and Automated Systems · Teaching and Learning Programming · Online Learning and Analytics
