Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols
Learning to write a program is a difficult task. In this study we looked at how students progress as they write their programs. Using an instrumented development environment, we captured the errors students encountered, the location of these errors, and the frequency with which students compiled the...
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Archīum Ateneo
2008
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ph-ateneo-arc.discs-faculty-pubs-11102020-06-24T07:41:06Z Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols Tabanao, Emily S Rodrigo, Ma. Mercedes T Jadud, Matthew C Learning to write a program is a difficult task. In this study we looked at how students progress as they write their programs. Using an instrumented development environment, we captured the errors students encountered, the location of these errors, and the frequency with which students compiled their program. We then correlated these metrics with the students’ midterm exam score. We found that the lower the incidence of syntax errors, the higher is their midterm exam score. We see this line of research as valuable tool that may help identify at-risk students early in their development as programmers. 2008-01-01T08:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/111 https://jadud.com/dl/pdf/2008-pcsc-tabanao-rodrigo-jadud.pdf Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Novice programmers Java computer science education Computer Sciences Science and Mathematics Education |
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Novice programmers Java computer science education Computer Sciences Science and Mathematics Education Tabanao, Emily S Rodrigo, Ma. Mercedes T Jadud, Matthew C Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols |
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Learning to write a program is a difficult task. In this study we looked at how students progress as they write their programs. Using an instrumented development environment, we captured the errors students encountered, the location of these errors, and the frequency with which students compiled their program. We then correlated these metrics with the students’ midterm exam score. We found that the lower the incidence of syntax errors, the higher is their midterm exam score. We see this line of research as valuable tool that may help identify at-risk students early in their development as programmers. |
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text |
author |
Tabanao, Emily S Rodrigo, Ma. Mercedes T Jadud, Matthew C |
author_facet |
Tabanao, Emily S Rodrigo, Ma. Mercedes T Jadud, Matthew C |
author_sort |
Tabanao, Emily S |
title |
Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols |
title_short |
Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols |
title_full |
Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols |
title_fullStr |
Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols |
title_full_unstemmed |
Identifying At-Risk Novice Java Programmers Through the Analysis of Online Protocols |
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identifying at-risk novice java programmers through the analysis of online protocols |
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Archīum Ateneo |
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2008 |
url |
https://archium.ateneo.edu/discs-faculty-pubs/111 https://jadud.com/dl/pdf/2008-pcsc-tabanao-rodrigo-jadud.pdf |
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