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Integrating Intelligent Feedback into Block Programming Environments

Published: 09 August 2015 Publication History

Abstract

Block Programming Environments (BPEs) are becoming popular tools for introducing novices to programming, due in part to their connection with students' interests in games, apps and stories. This has led to increasing use of BPEs outside of classroom settings, where knowledgeable instructors are not always available. Intelligent Tutoring Systems (ITSs) can keep students on track in the absence of instructors by providing hints and warnings to students in need of help. Further, data-driven techniques can generate this feedback automatically from previous students' attempts at a problem. This research focuses on the integration of this data-driven, ITS-style feedback into a modern BPE and the evaluation of its impact.

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Cited By

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  • (2023)An automatic feedback model for learning programming via block‐based programming platformsComputer Applications in Engineering Education10.1002/cae.2265231:5(1398-1411)Online publication date: 31-May-2023
  • (2018)Intelligent tutoring systems for programming educationProceedings of the 20th Australasian Computing Education Conference10.1145/3160489.3160492(53-62)Online publication date: 30-Jan-2018

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  1. Integrating Intelligent Feedback into Block Programming Environments

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    cover image ACM Conferences
    ICER '15: Proceedings of the eleventh annual International Conference on International Computing Education Research
    July 2015
    300 pages
    ISBN:9781450336307
    DOI:10.1145/2787622
    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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    New York, NY, United States

    Publication History

    Published: 09 August 2015

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    Author Tags

    1. block programming
    2. hints
    3. intelligent tutoring systems

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    ICER '15 Paper Acceptance Rate 25 of 96 submissions, 26%;
    Overall Acceptance Rate 189 of 803 submissions, 24%

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    • (2023)An automatic feedback model for learning programming via block‐based programming platformsComputer Applications in Engineering Education10.1002/cae.2265231:5(1398-1411)Online publication date: 31-May-2023
    • (2018)Intelligent tutoring systems for programming educationProceedings of the 20th Australasian Computing Education Conference10.1145/3160489.3160492(53-62)Online publication date: 30-Jan-2018

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