Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior-Reference-Cited by-同舟云学术

Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior

Published:2023-12 Issue: Volume:11 Page:102364
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Rahman Rahayu Abdul,Masrom Suraya^ORCID,Mohamad Masurah^ORCID,Sari Eka Nurmala,Saragih Fitriani,Rahman Abdullah Sani Abd

Funder

Universiti Teknologi MARA

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference32 articles.

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4. Predictors of academic dishonesty among undergraduate students in online and face-to-face courses;Peled;Comput. Educ.,2019

5. Remote E-exams during COVID-19 pandemic: a cross-sectional study of students’ preferences and academic dishonesty in faculties of medical sciences;Elsalem;Ann. Med. Surg.,2021

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