Prompts First, Finally
Generative AI (GenAI) and large language models in particular, are disrupting Computer Science Education. They are proving increasingly capable at more and more challenges. Some educators argue that they pose a serious threat to computing education, and that we should ban their use in the classroom....
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Main Authors | , , , , , , |
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Format | Journal Article |
Language | English |
Published |
12.07.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Generative AI (GenAI) and large language models in particular, are disrupting
Computer Science Education. They are proving increasingly capable at more and
more challenges. Some educators argue that they pose a serious threat to
computing education, and that we should ban their use in the classroom. While
there are serious GenAI issues that remain unsolved, it may be useful in the
present moment to step back and examine the overall trajectory of Computer
Science writ large. Since the very beginning, our discipline has sought to
increase the level of abstraction in each new representation. We have
progressed from hardware dip switches, through special purpose languages and
visual representations like flow charts, all the way now to ``natural
language.'' With the advent of GenAI, students can finally change the
abstraction level of a problem to the ``language'' they've been ``problem
solving'' with all their lives. In this paper, we argue that our programming
abstractions were always headed here -- to natural language. Now is the time to
adopt a ``Prompts First'' approach to Computer Science Education. |
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DOI: | 10.48550/arxiv.2407.09231 |