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Understanding and Addressing Misconceptions in Introductory Programming: A Data-Driven Approach

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자료유형E-Book
개인저자Qian, Yizhou.
단체저자명Purdue University. Curriculum and Instruction.
서명/저자사항Understanding and Addressing Misconceptions in Introductory Programming: A Data-Driven Approach.
발행사항[S.l.] : Purdue University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항116 p.
소장본 주기School code: 0183.
ISBN9780438017993
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
Adviser: James D. Lehman.
요약With the expansion of computer science (CS) education, CS teachers in K-12 schools should be cognizant of student misconceptions and be prepared to help students establish accurate understanding of computer science and programming. This explorat
요약Using students' erroneous solutions, 55 distinct compilation errors were identified, and 15 of them were categorized as common ones. The 15 common compilation errors accounted for 92% of all compilation errors. Based on the 15 common compilation
요약Both quantitative and qualitative data analysis were conducted to see whether and how the targeted feedback affected students' solutions. Quantitative analysis indicated that targeted feedback messages enhanced students' rates of improving erron
요약The results of this study suggest that a data-driven approach to understanding and addressing student misconceptions, which is using student data in automated assessment systems, has the potential to improve students' learning of programming and
일반주제명Educational technology.
Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-10A(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997664

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