TY - GEN
T1 - Translating Smart Content for Learning Python through Human-AI Collaboration
AU - Hassany, Mohammad
AU - Brusilovsky, Peter
AU - Barria-Pineda, Jordan
AU - Alpizar-Chacon, Isaac
N1 - Publisher Copyright:
© 2026 Copyright held by the owner/author(s).
PY - 2026/2/17
Y1 - 2026/2/17
N2 - In this paper, we present an approach that enables a broad re-use of English-authored smart learning content by translating it into other languages. To make it possible, we integrated translation functionalities directly into a smart content authoring system and engaging human-AI collaboration. The approach has been used to translate a large volume of worked examples and completion problems in Python from English to Spanish. The translated content has been piloted in several universities in a Spanish-speaking country.
AB - In this paper, we present an approach that enables a broad re-use of English-authored smart learning content by translating it into other languages. To make it possible, we integrated translation functionalities directly into a smart content authoring system and engaging human-AI collaboration. The approach has been used to translate a large volume of worked examples and completion problems in Python from English to Spanish. The translated content has been piloted in several universities in a Spanish-speaking country.
KW - Large Language Models
KW - Smart Learning Content
KW - Translation
UR - https://www.scopus.com/pages/publications/105033972143
U2 - 10.1145/3770761.3777318
DO - 10.1145/3770761.3777318
M3 - Contribución a la conferencia
AN - SCOPUS:105033972143
T3 - SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2
SP - 1353
EP - 1354
BT - SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2
PB - Association for Computing Machinery, Inc
T2 - 57th SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2026
Y2 - 18 February 2026 through 21 February 2026
ER -