Predictors of cyber-plagiarism: The case of Jose Rizal University
Higher education is the last bastion in the fight against cyber-plagiarism. Students are trained to be ethical professionals within the university context by molding their young minds through a combination of pedagogical strategies and academic programs to preserve their morals, values and character...
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oai:animorepository.dlsu.edu.ph:faculty_research-48462021-06-14T01:22:50Z Predictors of cyber-plagiarism: The case of Jose Rizal University Ebardo, Ryan Higher education is the last bastion in the fight against cyber-plagiarism. Students are trained to be ethical professionals within the university context by molding their young minds through a combination of pedagogical strategies and academic programs to preserve their morals, values and character. While technology is a catalyst for enhanced learning, it has also been used to illicit forms of academic dishonesty such as cyber-plagiarism. This paper applies the Theory of Planned Behavior and complemented by a dimension borrowed from the Big 5 Personality Theory to investigate the drivers of cyber-plagiarism in a university in the Philippines. A total of 309 responses are gathered to test the applicability of the proposed research model. A Partial Least Squares Structural Equation Model is applied to validate the research model in this study. Although ICT attitude and peer pressure influence behavioral intention to commit cyber-plagiarism at a certain level, this cannot be supported in this investigation. On the other hand, ICT literacy and neuroticism predict behavioral intention to commit cyber-plagiarism, which subsequently predicts the performance of such act. Technological and pedagogical recommendations are discussed. © 2018 Asia-Pacific Society for Computers in Education. All rights reserved. 2018-11-24T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3847 Faculty Research Work Animo Repository Plagiarism--Philippines Computers and literacy--Philippines Computer Sciences |
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Plagiarism--Philippines Computers and literacy--Philippines Computer Sciences Ebardo, Ryan Predictors of cyber-plagiarism: The case of Jose Rizal University |
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Higher education is the last bastion in the fight against cyber-plagiarism. Students are trained to be ethical professionals within the university context by molding their young minds through a combination of pedagogical strategies and academic programs to preserve their morals, values and character. While technology is a catalyst for enhanced learning, it has also been used to illicit forms of academic dishonesty such as cyber-plagiarism. This paper applies the Theory of Planned Behavior and complemented by a dimension borrowed from the Big 5 Personality Theory to investigate the drivers of cyber-plagiarism in a university in the Philippines. A total of 309 responses are gathered to test the applicability of the proposed research model. A Partial Least Squares Structural Equation Model is applied to validate the research model in this study. Although ICT attitude and peer pressure influence behavioral intention to commit cyber-plagiarism at a certain level, this cannot be supported in this investigation. On the other hand, ICT literacy and neuroticism predict behavioral intention to commit cyber-plagiarism, which subsequently predicts the performance of such act. Technological and pedagogical recommendations are discussed. © 2018 Asia-Pacific Society for Computers in Education. All rights reserved. |
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text |
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Ebardo, Ryan |
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Ebardo, Ryan |
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Ebardo, Ryan |
title |
Predictors of cyber-plagiarism: The case of Jose Rizal University |
title_short |
Predictors of cyber-plagiarism: The case of Jose Rizal University |
title_full |
Predictors of cyber-plagiarism: The case of Jose Rizal University |
title_fullStr |
Predictors of cyber-plagiarism: The case of Jose Rizal University |
title_full_unstemmed |
Predictors of cyber-plagiarism: The case of Jose Rizal University |
title_sort |
predictors of cyber-plagiarism: the case of jose rizal university |
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Animo Repository |
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2018 |
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https://animorepository.dlsu.edu.ph/faculty_research/3847 |
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