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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

40 authors · 101 co-authorship links · 12 across different organisations · showing the 40 most connected

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

  • Universitas Islam Negeri Raden Intan Lampung
  • Lampung University
  • National University of Malaysia
  • Universitas Negeri Padang
  • Hasanuddin University
  • University of Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Asmar YulastriAffiliation unknown3
Yuberti YubertiUniversitas Islam Negeri Raden Intan Lampung3
Widya WatiAffiliation unknown2
⁠Undang RosidinLampung University1
I Wayan DistrikLampung University1
Chandra ErtikantoLampung University1
Zainul ArifinAffiliation unknown1
Zainal AsrilAffiliation unknown1
Engkizar EngkizarAffiliation unknown1
Agus PahrudinUniversitas Islam Negeri Raden Intan Lampung1
SITI PATIMAHAffiliation unknown1
Koderi KoderiAffiliation unknown1
Deti EliceAffiliation unknown1
Hardianto HardiantoAffiliation unknown1
Rusdinal RusdinalAffiliation unknown1
Nellitawati NellitawatiAffiliation unknown1
Arwildayanto ArwildayantoAffiliation unknown1
Muhammad Nurhisyam Ali SetiawanAffiliation unknown1
Singgih GinanjarAffiliation unknown1
Ridwan RidwanHasanuddin University1
Dicky NofriansyahAffiliation unknown1
Kamisah OsmanNational University of Malaysia1
Asrul HudaAffiliation unknown1
Fitri AyuAffiliation unknown1
Dedy IrfanAffiliation unknown1
Des SuryaniAffiliation unknown1
Sukardi SukardiUniversity of Indonesia1
Doni Tri Putra YantoAffiliation unknown1
Rozalita KuraniAffiliation unknown1
Jelpapo Putra YantoAffiliation unknown1
Elfizon ElfizonAffiliation unknown1
Feri FerdianAffiliation unknown1
Yudha Aditya FiandraAffiliation unknown1
Geovanne FarellAffiliation unknown1
Aprilis SaputriAffiliation unknown1
Yetri YetriAffiliation unknown1
Rorlinda YusofAffiliation unknown1

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 Oct 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>
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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>
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	<dc:rights xml:lang="en-US">Copyright (c) 2022 Jurnal Pendidikan IPA Indonesia</dc:rights>
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