An Analysis Of Big Five Behavior Model Factors On Computer Self-Efficacy Teachers

Jum’ati, Nurleila and Agustina, Tri Siwi (2019) An Analysis Of Big Five Behavior Model Factors On Computer Self-Efficacy Teachers. In: Proceedings of the 1st International Conference on Business, Law And Pedagogy, ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia.

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Abstract

This study aims to analyze the influence of the big five behavior models factors (extraversion, agreeableness, conscientiousness, neurotisicm, openness to experience) on teachers’ computer self-efficacy in private senior high school and vocational school in Surabaya. The benefits of this study are expected to be used as guidelines for the schools and stake holders in managing and developing teachers. The population in this study were 52 teachers in private senior high school and vocational school in Surabaya using census methods, and 46 questionnaires were analyzed. Teacher computer self-efficacy data in this study was obtained from the CSE questionnaire, while the Big Five Behavioral Model data was obtained from Big Five Inventory (BFI) score, which analyzed quantitatively by multiple regression techniques with SPSS version 20.00. The result is, partially, the big five behavior models factors for dimension of agreeableness, conscientiousness, and openness to experience that influence CSE on teachers, while extraversion dan neurotisicm dimension does not influence significantly to CSE of private high schools and vocational teachers in Surabaya. Simultaneous, the Big Five Behavioral Model factor is significantly influence to CSE on private senior high schools and vocational school teachers in Surabaya. And the Big Five Behavioral Model extraversion dimension is dominant variable that influence CSE on private senior high school and vocational school teachers in Surabaya.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: teacher computer self-efficacy the big five personality factors
Subjects: H Social Sciences > HC Economic History and Conditions
Divisions: Prosiding
Depositing User: Mochamad Danny Rochman, A.Md. Lib., S.S.I.
Date Deposited: 04 Mar 2022 09:18
Last Modified: 04 Mar 2022 09:18
URI: http://eprints.uwp.ac.id/id/eprint/3334

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