Pre-Service Teachers’ Perception of Programming Education

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I whakaputaina i:Sage Open vol. 15, no. 1 (Jan 2025)
Kaituhi matua: Sanusi, Ismaila Temitayo
Ētahi atu kaituhi: Cudjoe, Enoch Shadrack, Musa Adekunle Ayanwale, Adepoju, Bisola
I whakaputaina:
SAGE PUBLICATIONS, INC.
Ngā marau:
Urunga tuihono:Citation/Abstract
Full text outside of ProQuest
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LEADER 00000nab a2200000uu 4500
001 3185526402
003 UK-CbPIL
022 |a 2158-2440 
024 7 |a 10.1177/21582440251327019  |2 doi 
035 |a 3185526402 
045 2 |b d20250101  |b d20250131 
100 1 |a Sanusi, Ismaila Temitayo  |u University of Eastern Finland, Joensuu, Finland 
245 1 |a Pre-Service Teachers’ Perception of Programming Education 
260 |b SAGE PUBLICATIONS, INC.  |c Jan 2025 
513 |a Journal Article 
520 3 |a The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile, pre-service teachers within the CS teacher preparation program should be prepared for the subject implementation to support the push for programming education. While the CS pre-service teachers statutorily would complete programming courses as part of their program, there is a need to understand their perspectives towards teaching programming in schools. Hence, this study investigated programming education from the perspective of pre-service teachers concerning programming understanding, expectation, and support. We adapted and validated the POPE (perception of programming education) survey which has been utilized to examine various education stakeholders’ attitude-intention-behavior within the theoretical framework of the Theory of Reasoned Action. Our study participants were 294 Information and Communication Technology education pre-service teachers in a public university in Ghana. To analyze the participants’ responses, AMOS software version 26.0 was used to perform Confirmatory Factor Analysis and structural equation modeling. Results confirmed the hypotheses, while the demographic variables have no significant effect on the three programming dimensions. This study concludes by highlighting the study’s implications for policy and practices and suggesting future research agendas. 
653 |a Teaching 
653 |a Preservice teachers 
653 |a Education 
653 |a Popes 
653 |a Computer science 
653 |a Confirmatory factor analysis 
653 |a Computer assisted instruction--CAI 
653 |a Machine learning 
653 |a Higher education 
653 |a Professional training 
653 |a Teachers 
653 |a Development programs 
653 |a Information technology 
653 |a Educational systems 
653 |a Development policy 
653 |a Student teachers 
653 |a Teacher education 
653 |a Communications technology 
653 |a Structural equation modeling 
653 |a Factor analysis 
653 |a Attitudes 
653 |a Reasoned action theory 
653 |a Public schools 
653 |a Preservice training 
653 |a Educational programs 
653 |a Professional development 
653 |a Computers 
653 |a Educational Technology 
653 |a Structural Equation Models 
653 |a Teacher Education Programs 
653 |a Preservice Teacher Education 
653 |a Programming 
700 1 |a Cudjoe, Enoch Shadrack  |u University of Education, Winneba, Ghana 
700 1 |a Musa Adekunle Ayanwale  |u University of Johannesburg, Auckland Park, Gauteng, South Africa 
700 1 |a Adepoju, Bisola  |u The University of Texas at Tyler, USA 
773 0 |t Sage Open  |g vol. 15, no. 1 (Jan 2025) 
786 0 |d ProQuest  |t Social Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3185526402/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://journals.sagepub.com/doi/10.1177/21582440251327019