Machine learning in predicting whistle-blowing intention of academic dishonesty with theory of planned behaviour

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Machine learning in predicting whistle-blowing intention of academic dishonesty with theory of planned behaviour

The COVID-19 pandemic and its aftermath have caused most higher educations to choose to implement remote learning as a new method of instruction and assessment. Nevertheless, remote learning has been criticized by having adverse impact on academic integrity. Whistle-blowing has been regarded as an e...

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Bibliographic Details
Published in:	Indonesian Journal of Electrical Engineering and Computer Science
Main Author:	Masrom S.; Samad N.H.A.; Rahman R.A.; Fatzel F.H.M.; Shamsudin S.M.
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163495322&doi=10.11591%2fijeecs.v31.i2.pp909-916&partnerID=40&md5=08b94576618ba8b20d93379995b1914b

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