Factors associated with academic dishonesty in Peruvian engineering students

Victoria Ramirez Valdivia; Hugo Andres Bayona Goycochea; Federico Alexis Duenas Davila

Factors associated with academic dishonesty in Peruvian engineering students

Victoria Ramirez Valdivia, Hugo Andres Bayona Goycochea, Federico Alexis Duenas Davila

Pontificia Universidad Catolica del Peru

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Academic dishonesty has become a general practice at school and university. What is more, it is, nowadays, on the rise due to virtual education. This is a problem that needs to be fought so as to avoid its probable transfer to professional performance. For this, additional research is needed to understand the causes of academic dishonesty, and develop methods promoting prevention. This study aims to explore this phenomenon through factors related to different social cognitive theory models, learning approaches and regulatory academic environment. With a sample of 186 university students from a private university in Lima, results show the existing relation between academic dishonesty and associated factors. Furthermore, it is shown the interaction effect among them. It was found that three important dimensions or vectors can be determined: Unethical Manipulation, Deep Learning and Regulatory Context.

Idioma original	Español
Título de la publicación alojada	Proceedings of the 2020 IEEE International Symposium on Accreditation of Engineering and Computing Education, ICACIT 2020
Estado	Publicada - 5 nov. 2020
Publicado de forma externa	Sí

Citar esto

@inproceedings{fc35a1ea08324d5e8b976aac44e90e57,

title = "Factors associated with academic dishonesty in Peruvian engineering students",

abstract = "Academic dishonesty has become a general practice at school and university. What is more, it is, nowadays, on the rise due to virtual education. This is a problem that needs to be fought so as to avoid its probable transfer to professional performance. For this, additional research is needed to understand the causes of academic dishonesty, and develop methods promoting prevention. This study aims to explore this phenomenon through factors related to different social cognitive theory models, learning approaches and regulatory academic environment. With a sample of 186 university students from a private university in Lima, results show the existing relation between academic dishonesty and associated factors. Furthermore, it is shown the interaction effect among them. It was found that three important dimensions or vectors can be determined: Unethical Manipulation, Deep Learning and Regulatory Context.",

author = "Valdivia, {Victoria Ramirez} and Goycochea, {Hugo Andres Bayona} and Davila, {Federico Alexis Duenas}",

year = "2020",

month = nov,

day = "5",

language = "Espa{\~n}ol",

booktitle = "Proceedings of the 2020 IEEE International Symposium on Accreditation of Engineering and Computing Education, ICACIT 2020",

}

Factors associated with academic dishonesty in Peruvian engineering students. / Valdivia, Victoria Ramirez; Goycochea, Hugo Andres Bayona; Davila, Federico Alexis Duenas.
Proceedings of the 2020 IEEE International Symposium on Accreditation of Engineering and Computing Education, ICACIT 2020. 2020.

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Factors associated with academic dishonesty in Peruvian engineering students

AU - Valdivia, Victoria Ramirez

AU - Goycochea, Hugo Andres Bayona

AU - Davila, Federico Alexis Duenas

PY - 2020/11/5

Y1 - 2020/11/5

N2 - Academic dishonesty has become a general practice at school and university. What is more, it is, nowadays, on the rise due to virtual education. This is a problem that needs to be fought so as to avoid its probable transfer to professional performance. For this, additional research is needed to understand the causes of academic dishonesty, and develop methods promoting prevention. This study aims to explore this phenomenon through factors related to different social cognitive theory models, learning approaches and regulatory academic environment. With a sample of 186 university students from a private university in Lima, results show the existing relation between academic dishonesty and associated factors. Furthermore, it is shown the interaction effect among them. It was found that three important dimensions or vectors can be determined: Unethical Manipulation, Deep Learning and Regulatory Context.

AB - Academic dishonesty has become a general practice at school and university. What is more, it is, nowadays, on the rise due to virtual education. This is a problem that needs to be fought so as to avoid its probable transfer to professional performance. For this, additional research is needed to understand the causes of academic dishonesty, and develop methods promoting prevention. This study aims to explore this phenomenon through factors related to different social cognitive theory models, learning approaches and regulatory academic environment. With a sample of 186 university students from a private university in Lima, results show the existing relation between academic dishonesty and associated factors. Furthermore, it is shown the interaction effect among them. It was found that three important dimensions or vectors can be determined: Unethical Manipulation, Deep Learning and Regulatory Context.

M3 - Contribución a la conferencia

BT - Proceedings of the 2020 IEEE International Symposium on Accreditation of Engineering and Computing Education, ICACIT 2020

ER -