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Prospective Science Teachers’ Self-Confidence in Computational Thinking Skills

Jurnal Pendidikan IPA Indonesia · Vol. 11 No. 1 (2022) · pp. 119–128

DOI
10.15294/jpii.v11i1.33125
ISSN
2089-4392, 2339-1286
Published
2022-03-31
Publisher
Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)
Language
eng

Abstract

This study aims to analyze prospective science teachers’ self-confidence in computational thinking skills on three main points: (i) prospective science teachers’ self-confidence in computational thinking skills, (ii) differences in prospective science teachers’ self-confidence in computational thinking skills as per gender, and (iii) differences in prospective science teachers’ self- confidence in computational thinking skills as per expertise (Biology and Physics). A quantitative cross-sectional survey methodology was used as the research design. A total of 1023 prospective science teachers (biology and physics) were randomly selected as the research sample from the 1959 total population. Data were collected using a self-confidence questionnaire on computational thinking skills. The adaptation results were assessed first by five experts before being tested on 74 prospective science teachers from different universities. The results show that prospective science teachers’ self-confidence in computational thinking skills was generally high (Mean = 78.57). The Mann-Whitney U test found no difference in prospective science teachers’ self-confidence in computational thinking skills as per gender (Mean= 78.05, SD= 9.03 for male, Mean= 78.73, SD= 6.86 for female, with a value of F= 6.028, Z= -0.891, Sig= 0.373 0.05). The Independent Sample t-test also showed no difference in prospective science teachers’ self-confidence in computational thinking skills as per expertise. This study concludes that prospective science teachers have high self-confidence in computational thinking skills as crucial skills in the science teaching profession.

Keywords

Collaboration network of the authors

7 authors · 13 co-authorship links · 10 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Lampung University
  • Universitas Islam Negeri Raden Intan Lampung
  • National University of Malaysia
  • Universitas Negeri Padang
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
⁠Undang RosidinLampung University1
I Wayan DistrikLampung University1
Chandra ErtikantoLampung University1
Yuberti YubertiUniversitas Islam Negeri Raden Intan Lampung1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/nju/index.php/jpii/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Prospective Science Teachers’ Self-Confidence  in Computational Thinking Skills</dc:title>
	<dc:creator>Syafril, S.</dc:creator>
	<dc:creator>Rahayu, T.</dc:creator>
	<dc:creator>Ganefri, G.</dc:creator>
	<dc:subject xml:lang="en-US">computational thinking skills; prospective science teachers; self-confidence</dc:subject>
	<dc:description xml:lang="en-US">This study aims to analyze prospective science teachers’ self-confidence in computational thinking skills on three main points: (i) prospective science teachers’ self-confidence in computational thinking skills, (ii) differences in prospective science teachers’ self-confidence in computational thinking skills as per gender, and (iii) differences in prospective science teachers’ self- confidence in computational thinking skills as per expertise (Biology and Physics). A quantitative cross-sectional survey methodology was used as the research design. A total of 1023 prospective science teachers (biology and physics) were randomly selected as the research sample from the 1959 total population. Data were collected using a self-confidence questionnaire on computational thinking skills. The adaptation results were assessed first by five experts before being tested on 74 prospective science teachers from different universities. The results show that prospective science teachers’ self-confidence in computational thinking skills was generally high (Mean = 78.57). The Mann-Whitney U test found no difference in prospective science teachers’ self-confidence in computational thinking skills as per gender (Mean= 78.05, SD= 9.03 for male, Mean= 78.73, SD= 6.86 for female, with a value of F= 6.028, Z= -0.891, Sig= 0.373 0.05). The Independent Sample t-test also showed no difference in prospective science teachers’ self-confidence in computational thinking skills as per expertise. This study concludes that prospective science teachers have high self-confidence in computational thinking skills as crucial skills in the science teaching profession.</dc:description>
	<dc:publisher xml:lang="en-US">Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)</dc:publisher>
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	<dc:date>2022-03-31</dc:date>
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	<dc:source xml:lang="en-US">Jurnal Pendidikan IPA Indonesia; Vol 11, No 1 (2022): March 2022; 119-128</dc:source>
	<dc:source>2089-4392</dc:source>
	<dc:source>2339-1286</dc:source>
	<dc:source>10.15294/jpii.v11i1</dc:source>
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	<dc:rights xml:lang="en-US">Copyright (c) 2022 Jurnal Pendidikan IPA Indonesia</dc:rights>
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