Large Language Models for Computing Education

Description of the granted funding

This project will examine how large language models (LLMs) will affect computing education. LLMs and their applications such as GitHub Copilot can create new high quality text based on textual input, but their impact on computing education has not been studied. The project will study the benefits that LLMs can bring to computing classrooms and the potential challenges their introduction can entail focusing on two aspects: studying how students use Copilot and similar tools and exploring the capabilities of LLMs for creating novel course exercises of various types (programming exercises, code explanations, and multiple-choice questions). While Copilot and similar tools help professional programmers write code faster, it is not known whether they are a help or a hindrance for novices who are just learning to program. Being able to automatically generate vast numbers of exercises would greatly alleviate instructor workload, leaving time for other teaching activities.
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Starting year

2023

End year

2027

Granted funding

Juho Leinonen Orcid -palvelun logo
587 735 €

Funder

Research Council of Finland

Funding instrument

Academy research fellows

Decision maker

Scientific Council for Natural Sciences and Engineering
16.05.2023

Other information

Funding decision number

356114

Fields of science

Computer and information sciences

Research fields

Ohjelmistotekniikka, käyttöjärjestelmät, ihminen-kone -vuorovaikutus

Identified topics

languages, linguistics, speech