"Positive Learning Attitude" Training to Improve Vocational High School Students' Understanding of Academic Cyberslacking

Simanjuntak, Ermida, Apsari, Florentina Yuni and Engry, Agustina (2022) "Positive Learning Attitude" Training to Improve Vocational High School Students' Understanding of Academic Cyberslacking. "Positive Learning Attitude" Training to Improve Vocational High School Students' Understanding of Academic Cyberslacking, 11 (3). pp. 393-405. ISSN pISSN: 2302-2582, eISSN: 2657-0963

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Abstract

Online learning at home for vocational high school students triggers several problems, including academic cyberslacking. Academic cyberslacking is defined as students' internet access to things unrelated to the course materials during the class. Referring to this condition, vocational high school students need to have a better understanding of academic cyberslacking through training so that the students can control the emergence of academic cyberslacking during the class. This study explores the effect of positive learning attitude training on increasing the understanding of vocational high school students in academic cyberslacking. The participants of this study were 187 vocational high school students who participated in a positive learning attitude training. The results showed a value of Z = -3,306, p = 0.001 (p<0.05), so it can be concluded that there is a significant difference in the understanding of academic cyberslacking before and after participating in positive learning attitude training of the vocational high school students. Students understand better the academic cyberslacking phenomenon after receiving positive learning attitude training.

Item Type: Article
Additional Information: Jurnal Nasional Terakreditasi Sinta 4
Uncontrolled Keywords: Academic Cyberslacking; Vocational High School Students; Training
Subjects: Psychology
Divisions: Journal Publication
Depositing User: F.X. Hadi
Date Deposited: 15 May 2023 09:19
Last Modified: 16 May 2023 02:27
URI: http://repository.ukwms.ac.id/id/eprint/34790

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