Home > Archive > 2018 > Volume 8 Number 9 (Sep. 2018) >
IJIET 2018 Vol.8(9): 628-632 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.9.1112

Quantum Learning Model as a Solution of the Tolerance and Independence Problems of Training Participants

Lusy Setiyowati and Iip Saripah

Abstract—Recently, many cases were driven by tolerance and independence inadequacy. Can quantum learning model be a solution to solve this problem? Therefore, this research was conducted to determine the correlation between quantum learning model with tolerance and independence. One of which is to complement the requirement of automotive training in UPT-PK Jember. This research engaged correlation technique with quantitative approach. That was analyzed by Rank Spearman formula. The research results indicated a significant positive relationship between quantum learning model with tolerance and independence of training participants. This was proved by the results of analysis data obtained using the r of value each is 0,708 and 0,746 with a 95% confidence level. It can be implied that quantum learning model at UPT-PK or Technical Implementation Unit-Work Training Jember, Indonesia delivers tolerance rate of automotive training participants by 50 % and contributed to the independence by 56%.

Index Terms—Quantum learning model, tolerance, independence.

The authors are with Faculty of Education, Universitas Pendidikan Indonesia, Indonesia (e-mail: lusy@student.upi.edu).

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Cite: Lusy Setiyowati and Iip Saripah, "Quantum Learning Model as a Solution of the Tolerance and Independence Problems of Training Participants," International Journal of Information and Education Technology vol. 8, no. 9, pp. 628-632, 2018.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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