The effect of problem based blended learning (PB2L) learning model on basic programming learning outcomes in terms of students' computational thinking skills

Citra Pratiwi Paramitha, Muchlas Samani, I.G.P. Asto Buditjahjanto, Tri Rijanto

Abstract


The main problem in the learning process of basic programming in the classroom is the lack of available time allocation, considering that basic programming material is very complex and there are also practicum activities and program demos. So, with the existing allocation, it is not optimal if it is used for learning activities in basic programming subjects. This can be seen in the average student learning outcomes which are always low. This study aims to determine the effect of the problem based blended learning (PB2L) model on basic programming learning outcomes in terms of students' computational thinking skills. This research was conducted through a literature review and relevant research results and continued through a Focus Group Discussion (FGD). From the research, it was found that there was a significant positive effect between the variables of the problem based blended learning (PB2L) model, student learning outcomes and computational thinking skills, which means that student learning outcomes can be improved through the application of problem based blended learning (PB2L) models and students' computational thinking skills.

Keywords


Blended Learning; Learning Outcomes; Basic Programming; Computational Thinking Skills

References


Abidin, Yunus. (2014). Desain Sistem Pembelajaran Dalam Konteks Kurikulum 2013. Bandung: PT Refika Aditama.

Anitah W, Sri. (2008). Strategi Pembelajaran di SD. Jakarta: Universitas Terbuka.

Cetin, Ibrahim. (2016). Preservice Teachers Introduction to Computing: Exploring Utilization of Scratch. Sage journals Vol. 54, issue: 7.

Doleck, Tenzil., Bazelais, Paul., Lemay, David Jhon., Saxena, Anoop & Basnet, Ram B. (2017). Algorithmic Thinking, Cooperativity, Creativity, Critical Thinking, and Problem Solving: Exploring the Relationship between Computational Thinking Skills and Academic Performance. Journal of Computers in Education 4, no. 4, h. 355.

Dwiyogo, Wasis D. (2018). Pembelajaran Berbasis Blended Learning. Depok: Raja Grafindo.

Glazer Francine S. (2012). Blended Learning, New Pedagogies and Practices for Teaching Higher Eduction, Across the Disciplines Across the Academic. Virginia: Stylus Publishing.

Husamah. (2014). Pembelajaran Bauran (Blended Learning). Jakarta: Prestasi Pustaka Raya.

Jusoff, K. & Khodabandelou, R. (2009). Preliminery study on the role of social presence in blended learning environment in higher education. Versi elektronik.

Liao, Lihua dan Liang, Jin. 2017. An Empirical Study on Blended Learning to Promote the Development of Computational Thinking Ability of College Students. International Symposium on Educational Technology.

Lye, S.Y. dan Koh, J.H.L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12?, Comput. Human Behav., Vol. 41.

Munir. (2009). Pembelajran jarak jauh berbasis teknologi informasi dan komunikas. bandung: Alfabeta.cv.

Naidu, Som. (2006). E-learning: a guidebook of principles, procedures and practices. New Delhi: Aishi Creative Workshop.

Plummer, Lisa. (2012). Credit recovery programs combine the best of online and in class instruction. http://thejournal.com/Articles/2012/03/08/.

Purwanto. (2009). Evaluasi Hasil Belajar. Yogyakarta: Pustaka Pelajar.

Sudjana, N. (2009). Penilaian Hasil Proses Belajar Mengajar. Bandung: Alfabeta.

Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Alfabeta.

Tak Yeon Lee. (2014). CTArcade: Computational Thinking with Games in School Age Children. International Journal of Child-Computer Interaction 2.

Tethool, Godaluva., Paat, W R Lesli & Wonggo, Djafar. (2021). Penerapan Model Pembelajaran Blended Learning untuk Meningkatkan Hasil Belajar Siswa SMK. EduTIK: Jurnal Pendidikan Teknologi Informasi dan Komunikasi Volume 1 Nomor 3, Juni 2021.

Toedte, Ross J. Dan Aydeniz, Mehmet. (2015). Computational thinking and impacts on K-12 science education. IEEE Frontiers in Education Conference.

Rovai, A.P & Jordan, H.M. (2004). Blended learning and sense of community: a comparative analysis with traditional and fully online graduate courses. International Review of Research in Open and Distance Learning, Vol. 5, Number 2, 1492-3831

Utami, Iga Setia. (2018). The effect of blended learning model on senior high school students’ achievement. SHS Web of Conferences 42, 00027 (2018) https://doi.org/10.1051/shsconf/20184200027.

Valentina Dagiene and Sue Setance. (2016). It’s Computational Thinking! Bebras Task in the Curriculum, A. Brodnik and F. Tort (Eds.): ISSEP 2016, LNCS 9973 pp. 28–39.

Valerie J. S., Chen S., dan Jodi A.C. (2017). Demystifying computational thinking. Elsevier, Educational Research Review. Vol. 22.

Wilson, Diann. Et al. (2005). The Other Blended Learning. A Classroom-centered Approach. Pfeiffer: San Francisco.

Wing, Jeannette M. (2006). Computational Thinking. Communications Of The ACM. Vol. 49, No. 3.

Ying Li, Yu Liu, dan Pan Shu. 2015. Teaching Research and Practice of Blended Learning Model Based on Computational Thinking. IEEE.




DOI: https://doi.org/10.29103/ijevs.v4i4.5973

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Copyright (c) 2022 Citra Pratiwi Paramitha*, Muchlas Samani, I.G.P. Asto Buditjahjanto, & Tri Rijanto