2021
DOI: 10.12720/jait.12.4.342-350
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A Proposal of Grammar-Concept Understanding Problem in Java Programming Learning Assistant System

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Cited by 19 publications
(8 citation statements)
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“…The GUP generation algorithm in [3] for Java programming is modified for C programming by replacing the keywords and the questions as in Table 1. Then, it will generate a new GUP by the following steps: 1) Read a text file with C source code.…”
Section: Gup Generation Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…The GUP generation algorithm in [3] for Java programming is modified for C programming by replacing the keywords and the questions as in Table 1. Then, it will generate a new GUP by the following steps: 1) Read a text file with C source code.…”
Section: Gup Generation Algorithmmentioning
confidence: 99%
“…After they sufficiently understand grammar concepts and aware code reading, students should solve the harder problems step-by-step before practicing code writing from scratch. Thus, JPLAS offers several types of exercise problems with different levels, Previously, for JPLAS, we presented the grammarconcept understanding problem (GUP) as the first-step study of basic grammar concepts or keywords in Java programming by novice students [3]. A GUP instance consists of a source code, a set of questions on grammar keywords appearing in the code, and the correct answers.…”
Section: Introductionmentioning
confidence: 99%
“…The grammar-concept understanding problem (GUP) [2] offers questions about the source code's keywords by defining terms like reserved words and common libraries in programming languages. The value trace problem (VTP) [3], [4] requests the output values of significant variables and output messages in the provided source code.…”
Section: Introductionmentioning
confidence: 99%
“…To help generating new MCP instances by a teacher, we present the MCP instance generation algorithm by modifying the one for GUP instances in [10]. First, reserved words and common library functions in C programming are listed up for candidates of mistaken elements in a code.…”
Section: Introductionmentioning
confidence: 99%