Translating Smart Content for Learning Python through Human-AI Collaboration

Mohammad Hassany; Peter Brusilovsky; Jordan Barria-Pineda; Isaac Alpizar-Chacon

doi:10.1145/3770761.3777318

Translating Smart Content for Learning Python through Human-AI Collaboration

Mohammad Hassany^*
, Peter Brusilovsky
, Jordan Barria-Pineda
, Isaac Alpizar-Chacon

^*Corresponding author for this work

Sub Software Technology for Learning and Teaching

University of Pittsburgh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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.

Original language	English
Title of host publication	SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2
Publisher	Association for Computing Machinery
Pages	1353-1354
Number of pages	2
ISBN (Electronic)	979-8-4007-2255-4
DOIs	https://doi.org/10.1145/3770761.3777318
Publication status	Published - 17 Feb 2026
Event	57th SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2026 - St. Louis, United States Duration: 18 Feb 2026 → 21 Feb 2026

Publication series

Name	SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2

Conference

Conference	57th SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2026
Country/Territory	United States
City	St. Louis
Period	18/02/26 → 21/02/26

Bibliographical note

Publisher Copyright:
© 2026 Copyright held by the owner/author(s).

Keywords

Large Language Models
Smart Learning Content
Translation

Access to Document

10.1145/3770761.3777318Licence: CC BY

Translating Smart Content for Learning Python through Human-AI CollaborationFinal published version, 903 KBLicence: CC BY

Cite this

Hassany, M., Brusilovsky, P., Barria-Pineda, J., & Alpizar-Chacon, I. (2026). Translating Smart Content for Learning Python through Human-AI Collaboration. In SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2 (pp. 1353-1354). (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2). Association for Computing Machinery. https://doi.org/10.1145/3770761.3777318

Hassany, Mohammad ; Brusilovsky, Peter ; Barria-Pineda, Jordan et al. / Translating Smart Content for Learning Python through Human-AI Collaboration. SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2. Association for Computing Machinery, 2026. pp. 1353-1354 (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2).

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title = "Translating Smart Content for Learning Python through Human-AI Collaboration",

abstract = "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.",

keywords = "Large Language Models, Smart Learning Content, Translation",

author = "Mohammad Hassany and Peter Brusilovsky and Jordan Barria-Pineda and Isaac Alpizar-Chacon",

note = "Publisher Copyright: {\textcopyright} 2026 Copyright held by the owner/author(s).; 57th SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2026 ; Conference date: 18-02-2026 Through 21-02-2026",

year = "2026",

month = feb,

day = "17",

doi = "10.1145/3770761.3777318",

language = "English",

series = "SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2",

publisher = "Association for Computing Machinery",

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Hassany, M, Brusilovsky, P, Barria-Pineda, J & Alpizar-Chacon, I 2026, Translating Smart Content for Learning Python through Human-AI Collaboration. in SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2. SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, Association for Computing Machinery, pp. 1353-1354, 57th SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2026, St. Louis, United States, 18/02/26. https://doi.org/10.1145/3770761.3777318

Translating Smart Content for Learning Python through Human-AI Collaboration. / Hassany, Mohammad; Brusilovsky, Peter; Barria-Pineda, Jordan et al.
SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2. Association for Computing Machinery, 2026. p. 1353-1354 (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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

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DO - 10.1145/3770761.3777318

M3 - Conference contribution

AN - SCOPUS:105033972143

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Y2 - 18 February 2026 through 21 February 2026

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Hassany M, Brusilovsky P, Barria-Pineda J, Alpizar-Chacon I. Translating Smart Content for Learning Python through Human-AI Collaboration. In SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2. Association for Computing Machinery. 2026. p. 1353-1354. (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2). doi: 10.1145/3770761.3777318

Translating Smart Content for Learning Python through Human-AI Collaboration

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