Proceedings of the 9th International Conference on Advanced Research in Education, Teaching and Learning
Year: 2024
DOI:
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Reshaping Teaching in the Era of AI: Embracing Large Language Models in Computer Science Education
Noel Lopes
ABSTRACT:
This paper presents a case study on integrating Artificial Intelligence (AI) technologies into the Internet Programming course at the Polytechnic University of Guarda to address the evolving industry demands and enhance students’ skillsets and AI literacy. With AI technologies like GitHub Copilot and ChatGPT becoming mainstream, there is a pressing need to adapt higher education practices to prepare students for an AI-augmented workforce. This is particularly important in computer science, where graduates are expected to master AI tools and skills. In this context, the course curriculum and assessment methods were revised to include practical applications of AI tools, emphasizing problem-solving and coding efficiency in real-world scenarios. This study analyses the outcomes of these changes, based on student performance and feedback, to assess their effectiveness in fostering relevant skills. The results indicate increased student engagement and broad appreciation of AI tools for learning and academic project development, with over 70% of respondents rating them as useful or very useful. Moreover, the course’s role in developing AI skills for employability received strong endorsement, particularly from female and international students. Additionally, 71% of students preferred the new oral assessment system over traditional exams, with female and international students demonstrating the strongest approval. This reflects a broader preference for interactive and continuous assessment methods. These findings pinpoint the effectiveness of integrating AI tools and innovative evaluation techniques in fostering an inclusive and industry-relevant educational environment, and the importance of adapting curricula to meet both market and student expectations.
keywords: Artificial Intelligence Enhanced Education, Computer Science Education, Adaptive Assessment Methods, Higher Education Adaptation, Industry-Oriented Curriculum