Designing Personalized Learning Environments throughMonitoring and Guiding User Interactions with Code andNatural Language

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Abstrakt

Learning the vocabulary of a new language and a new programming API are similar in multiple ways. In this paper we evaluate several of the similarities and show that based on them we can design systems that can guide the learner towards improving their knowledge without an external tutor or preset curriculum. Instead, the class of systems we propose here are based on automated approaches of building maps of knowledge of the domain by mining repositories. By intersecting this knowledge with models of learner knowledge built by observing past learner interactions with artifacts of the domain we can generate highly personalized learning guidance.
OriginalsprogEngelsk
TitelProceedings of the 1st ACM SIGSOFT International Workshop on Education through Advanced Software Engineering and Artificial Intelligence
ForlagAssociation for Computing Machinery
Publikationsdato2019
Sider5-8
ISBN (Trykt)978-1-4503-6852-0
DOI
StatusUdgivet - 2019
BegivenhedInternational Workshop on Education through Advanced Software Engineering and Artificial Intelligence -
Varighed: 26 aug. 201926 aug. 2019
https://easeai.github.io/

Workshop

WorkshopInternational Workshop on Education through Advanced Software Engineering and Artificial Intelligence
Periode26/08/201926/08/2019
Internetadresse

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