Exploring effective strategies and challenges in integrating AI tools into programming education
Riekki, Niklas (2024-05-16)
Riekki, Niklas
N. Riekki
16.05.2024
© 2024 Niklas Riekki. Ellei toisin mainita, uudelleenkäyttö on sallittu Creative Commons Attribution 4.0 International (CC-BY 4.0) -lisenssillä (https://creativecommons.org/licenses/by/4.0/). Uudelleenkäyttö on sallittua edellyttäen, että lähde mainitaan asianmukaisesti ja mahdolliset muutokset merkitään. Sellaisten osien käyttö tai jäljentäminen, jotka eivät ole tekijän tai tekijöiden omaisuutta, saattaa edellyttää lupaa suoraan asianomaisilta oikeudenhaltijoilta.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202405163612
https://urn.fi/URN:NBN:fi:oulu-202405163612
Tiivistelmä
This thesis investigates the opportunities and challenges associated with integrating AI tools into the programming classroom. With the mainstream emergence of ChatGPT and similar technologies, it is imperative to understand their impact on student learning. This is particularly relevant for programming students, given the heightened interest and excitement surrounding generative AI in the programming field.
This study utilises qualitative interviews to uncover expert opinions on the current landscape and future challenges and opportunities. It highlights the potential benefits and drawbacks of integrating AI tools into education, emphasising the accessibility they bring to learning, alongside the risks of potential misuse that could undermine students’ learning experiences.
Additionally, this thesis advocates for further research into specific avenues using a quantitative approach, building upon the qualitative foundation established. It emphasises the importance of measuring the effects on learning and validating strategies proposed in this thesis for the use of AI tools in education.
This study utilises qualitative interviews to uncover expert opinions on the current landscape and future challenges and opportunities. It highlights the potential benefits and drawbacks of integrating AI tools into education, emphasising the accessibility they bring to learning, alongside the risks of potential misuse that could undermine students’ learning experiences.
Additionally, this thesis advocates for further research into specific avenues using a quantitative approach, building upon the qualitative foundation established. It emphasises the importance of measuring the effects on learning and validating strategies proposed in this thesis for the use of AI tools in education.
Kokoelmat
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