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iSnap: Data-driven Support for Novice Programming Informed by Evaluations of Hint Quality and Investigations of Student Help-seeking Behavior

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서명/저자사항iSnap: Data-driven Support for Novice Programming Informed by Evaluations of Hint Quality and Investigations of Student Help-seeking Behavior.
개인저자Price, Thomason William.
단체저자명North Carolina State University. Computer Science.
발행사항[S.l.]: North Carolina State University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항142 p.
기본자료 저록Dissertation Abstracts International 79-12B(E).
Dissertation Abstract International
ISBN9780438283978
학위논문주기Thesis (Ph.D.)--North Carolina State University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Tiffany Barnes.
요약Growing national interest in Computer Science (CS) education has fueled efforts to recruit a larger and more diverse group of computing students. These efforts frame programming as a way to create meaningful, creative and impactful artifacts. Th
요약I present research that addresses these challenges through the development and evaluation of iSnap, a novice programming environment that automatically supports students with next-step hints and feedback. iSnap's help is generated using SourceCh
요약In this work I investigate four research questions, concerning: 1) the design of the iSnap programming environment
요약The contributions of this work include the iSnap programming environment and the Source- Check data-driven hint generation algorithm, along with design recommendations for how to effectively integrate intelligent, data-driven support into a novi
일반주제명Computer science.
Educational technology.
언어영어
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