Date
Publisher
arXiv
Since its launch in late 2022, ChatGPT has ignited widespread interest in
Large Language Models (LLMs) and broader Artificial Intelligence (AI)
solutions. As this new wave of AI permeates various sectors of society, we are
continually uncovering both the potential and the limitations of existing AI
tools.
The need for adjustment is particularly significant in Computer Science
Education (CSEd), as LLMs have evolved into core coding tools themselves,
blurring the line between programming aids and intelligent systems, and
reinforcing CSEd's role as a nexus of technology and pedagogy. The findings of
our survey indicate that while AI technologies hold potential for enhancing
learning experiences, such as through personalized learning paths, intelligent
tutoring systems, and automated assessments, there are also emerging concerns.
These include the risk of over-reliance on technology, the potential erosion of
fundamental cognitive skills, and the challenge of maintaining equitable access
to such innovations.
Recent advancements represent a paradigm shift, transforming not only the
content we teach but also the methods by which teaching and learning take
place. Rather than placing the burden of adapting to AI technologies on
students, educational institutions must take a proactive role in verifying,
integrating, and applying new pedagogical approaches. Such efforts can help
ensure that both educators and learners are equipped with the skills needed to
navigate the evolving educational landscape shaped by these technological
innovations.
What is the application?
Who age?
Study design
