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Learning Computer Science Languages in Enki

Published: 11 July 2016 Publication History

Abstract

This paper presents an overview and main features of Enki, a web-based learning environment for computer science languages. Enki was designed to be a sort of entry level IDE, aggregating tools for navigating and viewing course materials, for solving exercises and receiving automated feedback, as well as promoting the learning process. Enki uses services from several other systems, namely for content sequencing and recommendation, exercise assessment, and gamification.

References

[1]
J. P. Leal, J. C. Paiva, and R. Queirós. Odin: A service for gami cation of learning activities. In to appear, page to appear. Springer, 2015.
[2]
J. P. Leal and F. Silva. Mooshak: a web-based multi-site programming contest system. Software: Practice and Experience, 33(6):567--581, 2003.
[3]
R. Queirós, J. P. Leal, and J. Campos. Sequencing educational resources with seqins. 2014.

Cited By

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  • (2023)BitLanguage: A Java Language Learning App2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)10.1109/ICRAIE59459.2023.10468360(1-6)Online publication date: 2-Dec-2023

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Published In

cover image ACM Conferences
ITiCSE '16: Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education
July 2016
394 pages
ISBN:9781450342315
DOI:10.1145/2899415
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 July 2016

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Author Tags

  1. educational resources
  2. exercises
  3. gamification
  4. integration
  5. learning
  6. programming languages
  7. sequencing

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ITiCSE '16
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ITiCSE '16 Paper Acceptance Rate 56 of 147 submissions, 38%;
Overall Acceptance Rate 552 of 1,613 submissions, 34%

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  • (2023)BitLanguage: A Java Language Learning App2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)10.1109/ICRAIE59459.2023.10468360(1-6)Online publication date: 2-Dec-2023

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