Preservice Teachers' Perceptions, Attitudes, and Challenges of Using Scratch as a Coding Tool to Foster Active Learning in Life Sciences Classrooms

Thato Charlot Mashishi, Sam Ramaila

Abstract


In the contemporary educational landscape, integrating technology into teaching practices is crucial for promoting active engagement and learning, particularly in science classrooms. This study investigated preservice teachers' perceptions of using Scratch as a coding tool to enhance active learning in Life Sciences classrooms. Adopting a qualitative research design, the study used purposive sampling to select five preservice teachers with relevant Life Sciences teaching experience. Data collection involved semi-structured interviews and classroom observations, and thematic analysis was employed to examine the data. The study found that Scratch was perceived positively by preservice teachers as a tool that could foster essential twenty-first-century skills such as collaboration, problem-solving, critical thinking, innovation, and communication. Preservice teachers demonstrated varying levels of familiarity with and adaptability to Scratch, influencing their methods of integration into teaching. While the tool showed promise in engaging students and enhancing active learning, the study also uncovered significant challenges, including resource limitations, inadequate teacher support, and logistical issues such as load shedding. These findings underscore the potential of Scratch to support innovative teaching practices and develop critical skills in learners. However, they also highlight the need for improved resources and support structures to maximise the effectiveness of technology integration. The study offers valuable insights for curriculum developers, higher education institutions, educational communities, and teachers, emphasising the need for strategic interventions to address implementation challenges and optimise the use of Scratch in fostering 4IR skills and preparing students for future careers.

https://doi.org/10.26803/ijlter.23.9.24


Keywords


scratch; coding; active learning; life sciences education; science; technology; engineering; and mathematics (STEM)

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References


Alt, R., Leimeister, J. M., Priemuth, T., & others. (2020). Software-defined business. Business & Information Systems Engineering, 62(6), 609–621. https://doi.org/10.1007/s12599-020-00669-6

Altinyelken, H. K., & Hoeksma, M. (2021). Improving educational quality through active learning: Perspectives from secondary school teachers in Malawi. Research in Comparative and International Education, 16(2), 117-139. https://doi.org/10.1177/1745499921992904

Aria, J. M., Pessoa, T., Vieira, C., Salvador, T., & Mendes, A. J. (2018). Learning computational thinking and Scratch at distance. Computers in Human Behavior, 80, 470-477. https://doi.org/10.1016/j.chb.2017.09.025

Arvanitis, E. (2018). Preservice teacher education: Towards a transformative and reflexive learning. Global Studies of Childhood, 8(2), 114-130. https://doi.org/10.1177/2043610617734980

Asare, P. Y., & Amo, S. K. (2023). Developing preservice teachers’ teaching engagement efficacy: A classroom managerial implication. Cogent Education, 10(1), 2170122. https://doi.org/10.1080/2331186X.2023.2170122

Balalle, I. (2024). Exploring student engagement in technology-based education in relation to gamification, online/distance learning, and other factors: A systematic literature review. Social Sciences & Humanities Open, 9, 100870. https://doi.org/10.1016/j.ssaho.2024.100870

Berssanette, J. H., & de Francisco, A. C. (2021). Active learning in the context of the teaching/learning of computer programming: A systematic review. Journal of Information Technology Education: Research, 20, 201-220. https://doi.org/10.28945/4767

Campbell, O. O., & Atagana, H. I. (2022). Impact of a Scratch programming intervention on student engagement in a Nigerian polytechnic first-year class: Verdict from the observers. Heliyon, 8(3), e09191. https://doi.org/10.1016/j.heliyon.2022.e09191

Cetin, I. (2016). Preservice teachers’ introduction to computing: Exploring utilization of Scratch. Journal of Educational Computing Research, 54(7), 997-1021. https://doi.org/10.1177/0735633116642774

Chen, L., & Xiao, S. (2021). Perceptions, challenges, and coping strategies of science teachers in teaching socio-scientific issues: A systematic review. Educational Research Review, 32, 100377. https://doi.org/10.1016/j.edurev.2020.100377

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE.

Creswell, J. W., & Guetterman, T. C. (2019). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (6th ed.). Pearson.

Dao, P. (2020). Effect of interaction strategy instruction on learner engagement in peer interaction. System, 91, 102244. https://doi.org/10.1016/j.system.2020.102244

Datta, P. (2023). The promise and challenges of the fourth industrial revolution (4IR). Journal of Information Technology Teaching Cases, 13(1), 2-15. https://doi.org/10.1177/20438869211056938

Dennis, B. K. (2014). Understanding participant experiences: Reflections of a novice research participant. International Journal of Qualitative Methods, 13(1), 395-410. https://doi.org/10.1177/160940691401300121

Dogan, S., Dogan, N. A., & Celik, I. (2021). Teachers’ skills to integrate technology in education: Two path models explaining instructional and application software use. Education and Information Technologies, 26(2), 1311–1332. https://doi.org/10.1007/s10639-020-10310-4

Eickelmann, B., & Vennemann, M. (2017). Teachers‘ attitudes and beliefs regarding ICT in teaching and learning in European countries. European Educational Research Journal, 16(6), 733-761. https://doi.org/10.1177/1474904117725899

Frechette, J., Bitzas, V., Aubry, M., Kilpatrick, K., & Lavoie-Tremblay, M. (2020). Capturing lived experience: Methodological considerations for interpretive phenomenological inquiry. International Journal of Qualitative Methods, 19. https://doi.org/10.1177/1609406920907254

González Hernández, W. (2023). The teaching-learning process or the teaching process and the learning process. Culture & Psychology, 29(1), 96-115. https://doi.org/10.1177/1354067X221097610

Guzdial, M. (2013). Exploring hypotheses about media computation. In Proceedings of the Ninth Annual International ACM Conference on International Computing Education Research (ICER), 3, 19–26.

Ifenthaler, D., & Schweinbenz, V. (2013). The acceptance of tablet PCs in classroom instruction: The teachers' perspectives. Computers in Human Behaviour, 29(1), 525-534. https://doi.org/10.1016/j.chb.2012.10.015

Iyamuremye, A., Nsabayezu, E., & Habimana, J. C. (2022). Secondary school teachers' conception and reflection of computer programming with Scratch. Discover Education, 1, 6. https://doi.org/10.1007/s44217-022-00006-x

Johnson, A. M., Jacovina, M. E., Russell, D. G., & Soto, C. M. (2016). Challenges and solutions when using technologies in the classroom. In Adaptive educational technologies for literacy instruction (pp. 13-30). Routledge.

Kalelioglu, F., & Gülbahar, Y. (2014). The effects of teaching programming via Scratch on problem-solving skills: A discussion from learners' perspective. Informatics in Education, 13(1), 33-50.

Kim, K., Sharma, P., Land, S. M., & Kyei-Blankson, L. (2013). Effects of active learning on enhancing student critical thinking in an undergraduate general science course. Innovations in Higher Education, 38(3), 223-235. https://doi.org/10.1007/s10755-012-9236-x

Kim, S., Raza, M., & Seidman, E. (2019). Improving twenty-first-century teaching skills: The key to effective twenty-first-century learners. Research in Comparative and International Education, 14(1), 99-117. https://doi.org/10.1177/1745499919829214

Kwon, S., & Schroderus, K. (2017). Coding in schools: Comparing integration of programming into basic education curricula of Finland and South Korea. Retrieved from: https://mediakasvatus.fi/wp-content/uploads/2018/06/Coding-in-schools-FINAL-2.pdf

Låg, T., & Sæle, R. G. (2019). Does the flipped classroom improve student learning and satisfaction? A systematic review and meta-analysis. AERA Open, 5(3). https://doi.org/10.1177/2332858419870489

Laili, F., & Lufri, L. (2019). The effect of active learning in the form of scientific approach with the use of students' worksheet based on problem-based learning (PBL) on students' biological knowledge. Journal of Physics: Conference Series, 1387, 012047. https://doi.org/10.1088/1742-6596/1387/1/012047

Lamb, A., & Johnson, L. (2011). Scratch: computer programming for twenty-first century learners. Teacher Librarian, 38(4), 64–68.

Liao, S. M. (2022). SCRATCH to R: Toward an inclusive pedagogy in teaching coding. Journal of Statistics and Data Science Education, 31(1), 45–56. https://doi.org/10.1080/26939169.2022.2090467

Livingstone, S., Mascheroni, G., & Stoilova, M. (2023). The outcomes of gaining digital skills for young people’s lives and wellbeing: A systematic evidence review. New Media & Society, 25(5), 1176-1202. https://doi.org/10.1177/14614448211043189

Maloney, J., Resnick, M., Rusk, N., Silverman, B., & Eastmond, E. (2010). The scratch programming language and environment. ACM Transactions on Computing Education (TOCE), 10(4), 1-15.

Marimuthu, M. & Govender, P. (2018). Perceptions of Scratch programming among secondary school students in KwaZulu-Natal, South Africa. The African Journal of Information and Communication (AJIC), 21, 51–80. https://doi.org/10.23962/10539/ 2611

Melro, A., Tarling, G., Fujita, T., & Kleine Staarman, J. (2023). What else can be learned when coding? A configurative literature review of learning opportunities through computational thinking. Journal of Educational Computing Research, 61(4), 901-924. https://doi.org/10.1177/07356331221133822

Mhlongo, S., Mbatha, K., Ramatsetse, B., & Dlamini, R. (2023). Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review. Heliyon, 9(6), e16348. https://doi.org/10.1016/j.heliyon.2023.e16348

Michinov, N., Morice, J., & Ferrières, V. (2015). A step further in peer instruction: Using the Stepladder technique to improve learning. Computers & Education, 91, 1-13. https://doi.org/10.1016/j.compedu.2015.09.007

Mlambo, S., Chukwuere, J. E., & Ndebele, C. (2018). Perceptions of pre-service teachers on the use of ICTs for instructional purposes. Journal of Gender, Information and Development in Africa (JGIDA), 7(2), 77-101.

Montiel-Cabello, H., & Gomez-Zermeño, M. G. (2021). Educational challenges for computational thinking in K–12 education: A systematic literature review of “Scratch” as an innovative programming tool. Computers, 10(6), 69. https://doi.org/10.3390/computers10060069

Mustafa, F., Nguyen, H. T. M., & Gao, X. (2024). The challenges and solutions of technology integration in rural schools: A systematic literature review. International Journal of Educational Research, 126, 102380. https://doi.org/10.1016/j.ijer.2024.102380

Ogegbo, A. A., & Ramnarain, U. (2021). A systematic review of computational thinking in science classrooms. Studies in Science Education, 58(2), 203–230. https://doi.org/10.1080/03057267.2021.1963580

Opdal, P. A. (2022). To do or to listen? Student active learning vs. the lecture. Studies in Philosophy and Education, 41(1), 71–89. https://doi.org/10.1007/s11217-021-09796-3

Perkmen, S., Antonenko, P., & Caracuel, A. (2016). Validating a measure of teacher intentions to integrate technology in education in Turkey, Spain and the USA. Journal of Technology and Teacher Education, 24(2), 215-2417.

Priya, A. (2021). Case study methodology of qualitative research: Key attributes and navigating the conundrums in its application. Sociological Bulletin, 70(1), 94-110. https://doi.org/10.1177/0038022920970318

Rämö, J., Reinholz, D., Häsä, J., & Wistedt, K. (2019). Extreme apprenticeship: Instructional change as a gateway to systemic improvement. Innovations in Higher Education, 44(4), 351–365. https://doi.org/10.1007/s10755-019-9467-1

Rubin, M.J. (2013). The effectiveness of live-coding to teach introductory programming: In Proceeding of the 44th ACM technical symposium on Computer science education, 13, 651-656. http://doi.acm.org/10.1145/2445196.2445388

Simonsen, B., Freeman, J., Myers, D., Dooley, K., Maddock, E., Kern, L., & Byun, S. (2020). The effects of targeted professional development on teachers’ use of empirically supported classroom management practices. Journal of Positive Behavior Interventions, 22(1), 3-14. https://doi.org/10.1177/1098300719859615

Tomaszewski, L. E., Zarestky, J., & Gonzalez, E. (2020). Planning qualitative research: Design and decision making for new researchers. International Journal of Qualitative Methods, 19, 1-7. https://doi.org/10.1177/1609406920967174

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.

Weintrop, D. (2019). Block-based programming in computer science education. Communications of the ACM, 62(8), 22-25.

Welbers, K., Konijn, E. A., Burgers, C., de Vaate, A. B., Eden, A., & Brugman, B. C. (2019). Gamification as a tool for engaging student learning: A field experiment with a gamified app. E-Learning and Digital Media, 16(2), 92-109. https://doi.org/10.1177/2042753018818342

Wijnen, F., Walma van der Molen, J., & Voogt, J. (2021). Primary school teachers’ attitudes toward technology use and stimulating higher-order thinking in students: a review of the literature. Journal of Research on Technology in Education, 55(4), 545–567. https://doi.org/10.1080/15391523.2021.1991864

Wong, G. K., Cheung, H. Y., Ching, E. C., & Huen, J. M. (2015). School perceptions of coding education in K-12: A large-scale quantitative study to inform innovative practices. IEEE Explore, 1, 5-10.

Wu, T.T., Asmara, A., Huang, Y.-M., & Permata Hapsari, I. (2024). Identification of problem-solving techniques in computational thinking studies: Systematic literature review. Sage Open, 14(2). https://doi.org/10.1177/21582440241249897

Yang, T.C., & Chen, J.H. (2023). Pre-service teachers' perceptions and intentions regarding the use of chatbots through statistical and lag sequential analysis. Computers and Education: Artificial Intelligence, 4, 100119.

Yildiz, S. N., Cobanoglu, A. A., & Kisla, T. (2020). Perceived acceptance and use of Scratch software for teaching programming: A scale development study. International Journal of Computer Science Education in Schools, 4(1), 53-71.

Yükseltürk, E., & Alt?ok, S. (2015). Bili?im teknolojileri ö?retmen adaylar?n?n bilgisayar programlama ö?retimine yönelik görü?leri (Pre-service information technologies teachers' views on computer programming teaching). Amasya Education Journal, 4(1), 50-65.

Zabeli, N., & Gjelaj, M. (2020). Preschool teachers’ awareness, attitudes, and challenges towards inclusive early childhood education: A qualitative study. Cogent Education, 7(1), 1791560. https://doi.org/10.1080/2331186X.2020.1791560

Zainuddin, Z., Chu, S. K. W., Shujahat, M., & Perera, C. J. (2020). The impact of gamification on learning and instruction: A systematic review of empirical evidence. Educational Research Review, 30, 100326. https://doi.org/10.1016/j.edurev.2020.100326

Zhang, L. & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141, 1-25. https://doi.org/10.1016/j.compedu.2019.103607


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