Emotional intelligence profile of prospective teachers

Syafrimen, Noriah Mohd. Ishak, Nova Erlina

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This study is aimed to identify emotional intelligence profile of prospective teachers who graduate from faculty of education and teacher training of Raden Intan State Institute of Islamic Studies (IAIN) of Lampung, Indonesia. The studies was conducted by using a combined approach (sequential explanatory mixed (MEQI) and analyzed by using descriptive statistics calculated by using SPSS 20.0 Software. The second phase used a qualitative approach (multi-case single-site case study design), involved nine prospective teachers. Data was collected through in-depth interviews (depth interview) and analyzed with software NVivo 10. The results of this study at first phase showed that 25 prospective teachers (10%) have very low EQ index (< 40), 125 prospective teachers (50%) had an index low EQ (41-60), 75 prospective teachers (30%) had moderate EQ index (61-80) and 25 prospective teachers (10%) have higher EQ Index (81-100). Meanwhile, the results of the second phase of the study found that the prospective teachers stated that EQ is a very method designs) through two phases. The first phase used a quantitative approach (cross-sectional) which involved 250 prospective teachers. The data was collected by using Malaysian emotional intelligence inventory important factor in the profession and increase their professionalism. Results of this study dealt in depth with various acquired earlier studies.

Original languageEnglish
Pages (from-to)1677-1680
Number of pages4
JournalJournal of Engineering and Applied Sciences
Volume12
Issue number7
DOIs
Publication statusPublished - 2017

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Keywords

  • Emotional intelligence (EQ)
  • Indonesia
  • Profession
  • Prospective
  • Prospective teacher

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Emotional intelligence profile of prospective teachers. / Syafrimen, ; Mohd. Ishak, Noriah; Erlina, Nova.

In: Journal of Engineering and Applied Sciences, Vol. 12, No. 7, 2017, p. 1677-1680.

Research output: Contribution to journalArticle

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