This study was conducted to investigate teachers’ perception towards computational thinking skills that being integrated into Malaysia’s school syllabus. An adapted survey developed based on Technology Acceptance Model was used to identify teachers’ perceived usefulness and perceived ease of use on the integration of computational thinking in teaching and learning, teachers’ attitude towards computational thinking skills and their behaviour intention to integrate the skills during teaching and learning. 294 participating primary school teachers from one state in southern region of Malaysia completed the survey and Spearman correlation test was used to analyse the survey data. This study reveals that teachers still have low understanding of the concept of computational thinking after two years of its implementation in curriculum. The findings also reveal that there is a positive correlation between teacher’s perceived usefulness of integrating computational thinking skills and teacher’s behaviour intention, and teacher’s attitude towards computational thinking skills and teacher’s behaviour intention. Meanwhile, there is a negative correlation between teacher’s perceived ease of use and teacher’s behaviour of integrating computational thinking in teaching and learning as a result of misconceptions on computational thinking experienced by the teachers.
Alfayez, A. A., & Lambert, J. (2019). Exploring Saudi Computer Science Teachers’ Conceptual Mastery Level of Computational Thinking Skills. Computers in the Schools. https://doi.org/10.1080/07380569.2019.1639593
Azman, S. M. S., Arsat, M., & Mohamed, H. (2018). The framework for the integration of computational thinking in ideation process. In Proceedings of 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2017 (Vol. 2018-Janua, pp. 61–65). https://doi.org/10.1109/TALE.2017.8252305
Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community? ACM Inroads, 2(1), 48–54. https://doi.org/10.1145/1929887.1929905
Basogain, X., Olabe, M. Á., Olabe, J. C., & Rico, M. J. (2018). Computational Thinking in pre-university Blended Learning classrooms. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.04.058
Bennett, S., Maton, K., & Kervin, L. (2008). The “digital natives” debate: A critical review of the evidence. British Journal of Educational Technology, 39(5), 775–786. https://doi.org/10.1111/j.1467-8535.2007.00793.x
Bower, M., Wood, L. N., Lai, J. W. M., Howe, C., & Lister, R. (2017). Improving the computational thinking pedagogical capabilities of school teachers. Australian Journal of Teacher Education. https://doi.org/10.14221/ajte.2017v42n3.4
Brackmann, C. P., Román-González, M., Robles, G., Moreno-León, J., Casali, A., & Barone, D. (2017). Development of Computational Thinking Skills through Unplugged Activities in Primary School. In Proceedings of the 12th Workshop on Primary and Secondary Computing Education - WiPSCE ’17 (pp. 65–72).
https://doi.org/10.1145/3137065.3137069
Chalmers, C. (2018). Robotics and computational thinking in primary school. International Journal of Child-Computer Interaction. https://doi.org/10.1016/j.ijcci.2018.06.005
Cheah, H. M. (2018). Computational Thinking Reshapes the Teachers’ Perspective on Human Mind towards Teaching and Learning Process. In Proceedings of the International Conference on Computational Thinking Education 2018 (pp. 141–146). Hong Kong.
Conde, M. Á., Fernández-Llamas, C., Rodríguez-Sedano, F. J., Guerrero-Higueras, Á. M., Matellán-Olivera, V., & García-Peñalvo, F. J. (2017). Promoting Computational Thinking in K-12 students by applying unplugged methods and robotics. In Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality - TEEM 2017 (pp. 1–6). https://doi.org/10.1145/3144826.3145355
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 319–340.
Denning, P. J. (2009). The profession of IT: Beyond computational thinking. Communications of the ACM, 52(6), 28–30. https://doi.org/10.1145/1516046.1516054
Di Iorio, C. K. (2005). Measurement in health behaviour: methods for research evaluation.
Durodolu, O. (2016). Technology Acceptance Model as a predictor of using information system’ to acquire information literacy skills. Library Philosophy and Practice.
Einhorn, S. (2012). Microworlds, computational thinking, and 21st century learning. LCSI White Paper.
Fessakis, G., Gouli, E., & Mavroudi, E. (2013). Problem solving by 5-6 years old kindergarten children in a computer programming environment: A case study. Computers and Education, 63, 87–97. https://doi.org/10.1016/j.compedu.2012.11.016
Grover, S., & Pea, R. (2013). Computational Thinking in K-12: A Review of the State of the Field. Educational Researcher, 42(1), 38–43.
https://doi.org/10.3102/0013189X12463051
Guzdial, M. (2008). Education: Paving the way for computational thinking. Communications of the ACM, 51(8), 25–27. https://doi.org/10.1145/1378704.1378713
Kafai, Y. B., & Burke, Q. (2013). Computer Programming Goes Back to School. Phi Delta Kappan, 95(1), 61–65. https://doi.org/10.1177/003172171309500111
Kementerian Pendidikan Malaysia. (2014). Teknologi Maklumat dan Komunikasi Tahun Enam.
Kementerian Pendidikan Malaysia, K. P. M. (2016). Kurikulum Standard Sekolah Rendah KSSR.
Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., … Werner, L. (2011). Computational thinking for youth in practice. ACM Inroads, 2(1), 32–37. https://doi.org/10.1145/1929887.1929902
Lee, S. W., & Khalid, F. (2018). Primary School Students’ Experiences during Game Development Project Using Scratch. International Journal of Engineering & Technology, 7(4.21), 16–19.
Ling, U. L., Saibin, T. C., Labadin, J., & Aziz, N. A. (2017). Preliminary Investigation: Teachers’ Perception on Computational Thinking Concepts. Journal of Telecommunication, Electronic and Computer Engineering, 9(2), 2289–8131.
Lu, J. J., & Fletcher, G. H. L. (2009). Thinking about computational thinking. SIGCSE Bulletin Inroads. https://doi.org/10.1145/1539024.1508959
Nazir, F., Jano, Z., & Omar, N. (2019). Algorithm as a problem solving technique for Teaching and learning of the malay language. Journal of Social Sciences and Humanities, 16(7), 1–12.
Rabah, K. (2016). The Future of Higher Educational Institutions (HEIs) in the Era of eLearning. Mara Research Journal of Information Science & Technology.
Rahayu, T., & Osman, K. (2019). Knowledge Level and Self-Confidence on The Computational Thinking Skills Among Science Teacher Candidates. Jurnal Ilmiah Pendidikan Fisika Al-Biruni. https://doi.org/10.24042/jipfalbiruni.v8i1.4450
Richards, J. (2007). Computational thinking: a discipline with uses outside the computer lab? Computer Weekly.
Viadero, D. (2007). Center to Support Instruction on “Computational Thinking.” Education, 26, 10.
Wing, J. M. (2006). Computational Thinking. Communications of the Association for Computing Machinery (ACM), 49(3), 33–35.
https://doi.org/https://www.cs.cmu.edu/~15110-s13/Wing06-ct.pdf
In-Text Citation: (Hashim, & Husnin, 2019)
To Cite this Article: Hashim, N. H. K., & Husnin, H. (2019). Teacher’s Perception on Computational Thinking Concept. International Journal of Academic Research Business and Social Sciences, 9(11), 1536–1546.
Copyright: © 2019 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
