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Effects of different teaching approaches on programming skills

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Abstract

Purpose of this study is determined effects of different teaching approaches on programming skills. Therefore, the effect of three different types of activities prepared with Scratch on 423 sixth grade students’ attitudes towards computer technologies, algorithmic thinking skills and reflective thinking skills on problem solving were investigated. Three IT teachers at the three schools, were asked to prepare and teach one of the three activities in their computer classes so that a different type of activity was provided at each school. The practical phase was carried out twice a week for seven weeks. A mixed method design was used with quantitative and qualitative components. Results showed that although the same programming tool and similar code blocks were used in the three applications, selected activities resulted in different effects on students. It was found that animation activities of the three types of activities had a positive effect on students’ attitudes towards computer technologies. The mathematical and game preparation activities had positive effects on algorithmic thinking and reflective thinking skills for problem solving. The present study reveals the importance of “activity type,” which is often neglected as a variable in studies investigating the different effects of block-based visual programming tools.

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References

  • Arnau, D., Arevalillo-Herraez, M., Puig, L., & Gonzalez-Calero, J. A. (2013). Fundamentals of the design and the operation of an intelligent tutoring system for the learning of the arithmetical and algebraic way of solving word problems. Computers & Education, 63, 119–130. https://doi.org/10.1016/j.compedu.2012.11.020.

    Article  Google Scholar 

  • Aydoğan, D. (2013). The investigation of levels of realization attainments related to 'environmental awareness' and 'information technology' in primary education curriculum. Malatya: Unpublished Doctorate Dissertation. İnönü University Education Sciences Institute.

    Google Scholar 

  • Baylor, A. L., & Ritchie, D. (2002). What factors facilitate teacher skill, teacher morale, and perceived student learning in technology-using classrooms? Computers & Education., 39(4), 395–414. https://doi.org/10.1016/S0360-1315(02)00075-1.

    Article  Google Scholar 

  • Bayrak, F., & Koçak Usluel, Y. (2011). The effect of blogging on reflective thinking skill. Hacettepe Universtiy Journal of Education, 40, 93–104.

    Google Scholar 

  • Brown, Q., Mongan, W., Kusic, D., Garbarine, E., Fromm, E., & Fontecchio A. (2013). Computer Aided Instruction as a Vehicle for Problem Solving: Scratch Programming Environment in the Middle Years Classroom. from http://www.pages.drexel.edu/~dmk25/ASEE_08.pdf. Accessed 15 June 2018.

  • Burke, Q., & Kafai, Y. B. (2012). The writers’ workshop for youth programmers. In Proceedings of the 43rdSIGCSE technical symposium on computer science education, (Raleigh, NC February 29–march 03) (pp. 433–438). New York, NY: ACM.

    Google Scholar 

  • Burton, B. A. (2010). Encouraging algorithmic thinking without a computer. Olympiads in Informatics, 4, 3–14.

    Google Scholar 

  • Calao, L. A., Moreno-Leon, J., Correa, H. E., & Robles, G. (2015). Developing Mathematical Thinking with Scratch. In Developing mathematical thinking with scratch an experiment with 6th grade students. Design for Teaching and Learning in a Networked World (17–27). Springer International Publishing. https://doi.org/10.1007/978-3-319-24258-3_2.

    Chapter  Google Scholar 

  • Calder, N. (2010). Using scratch: An integrated problem solving approach to mathematical thinking. Australian Primary Mathematics Classroom, 15(4), 9–14.

    Google Scholar 

  • Chang, C. (2014). Effects of using Alice and Scratch in an introductory programming course for corrective instruction. Journal of Educational Computing Research, 51(2), 185–204. https://doi.org/10.2190/EC.51.2.c.

    Article  Google Scholar 

  • Chang, C. K., & Biswas, G. (2011, June). Design engaging environment to foster computational thinking. In Proceedings of the world conference on educational multimedia, hypermedia and telecommunications (Vol. 1, pp. 2898–2902).

    Google Scholar 

  • Chen, T., Mdyunus, A., Ali, W. Z. W., & Bakar, A. (2008). Utilization of intelligent tutoring system in mathematics learning. International Journal of Education and Development using Information and Communication Technology, 4(4), 50–63.

    Google Scholar 

  • Choi, H. (2013). Pre-service teachers’ conceptions and reflections of computer programming using scratch: Technological and pedagogical perspectives. International Journal for Educational Media and Technology, 7(1), 15–25.

    Google Scholar 

  • Claypool, M. (2013). Dragonfly: Strengthening programming skills by building a game engine from scratch. Computer Science Education, 23(2), 112–137. https://doi.org/10.1080/08993408.2013.781840.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: L. Erlbaum Associates.

    MATH  Google Scholar 

  • Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Çetin, İ., & Dubinsky, E. (2017). Reflective abstraction in computational thinking. Journal of Mathematical Behavior., 47(2017, 70–80. https://doi.org/10.1016/j.jmathb.2017.06.004.

    Article  Google Scholar 

  • De Corte, E., & Masui, C. (2004). The CLIA-model: A framework for designing powerful leaming environments for thinking and problem solving. European Journal of Psychology of Education, 19(4), 365–384. https://doi.org/10.1007/BF03173216.

    Article  Google Scholar 

  • De Oliveria, M. G., Ciarelli, P. M., & Oliveira, E. (2013). Recommendation of programming activities by multi-label classification for a formative assessment of students. Expert Systems with Applications, 40, 6641–6651. https://doi.org/10.1016/j.eswa.2013.06.011.

    Article  Google Scholar 

  • Demo, G. B., & Williams, L. (2014). The many facets of scratch. In Y. Gülbahar & E. Karataş (Eds.), Informatics in Schools. Teaching and Learning Perspectives. ISSEP 2014. Lecture notes in computer science (Vol. 8730). Cham: Springer.

    Google Scholar 

  • Dewey, J. (1933). How We Think. A restatement of the relation of reflective thinking to the educative process. Boston: D. C. Heath.

    Google Scholar 

  • Doğan, U., & Kert, S. B. (2016). Bilgisayar Oyunu Geliştirme Sürecinin, Ortaokul Öğrencilerinin Eleştirel Düşünme Becerilerine ve Algoritma Başarılarına Etkisi. Boğaziçi Üniversitesi Eğitim Dergisi, 33(2), 21–42. ISSN 1300-9567.

    Google Scholar 

  • Doleck, T., Bazelais, P., Lemay, D. J., Saxena, A., & Basnet, R. B. (2017). Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: Exploring the relationship between computational thinking skills and academic performance. J. Comput. Educ., 4(4), 355–369. https://doi.org/10.1007/s40692-017-0090-9.

    Article  Google Scholar 

  • Epstein, A. S. (2009). “How planning and reflection develop young children’s thinking skills.” from http://www.journal.naeyc.org/btj/200309/Planning&Reflection.pdf. Accessed 26 Aug 2009.

  • Erümit, A. K., Karal, H., Şahin, G., Aksoy, D. A., Gencan, A. A., & Benzer, A. İ. (2019). A model suggested for programming teaching: Programming in seven steps. Education and Science, 44(197), 155–183. https://doi.org/10.15390/EB.2018.7678.

    Article  Google Scholar 

  • Fessakis, G., & Serafeim, K. (2009). Influence of the familiarization with scratch on future teachers’ opinions and attitudes about programming and ICT in education. ACM SIGCSE Bulletin, 41(3), 258–262. https://doi.org/10.1145/1595496.1562957.

    Article  Google Scholar 

  • 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 & Education, 63, 87–97. https://doi.org/10.1016/j.compedu.2012.11.016.

    Article  Google Scholar 

  • Futschek, G. (2006). Algorithmic thinking: The key for understanding computer science. In Mittermeir, R.T.(Ed.), ISSEP 2006, LNCS (Vol. 4226, pp. 159–168).

    Google Scholar 

  • Hayes, J., & Stewart, I. (2016). Comparing the effects of derived relational training and computer coding on intellectual potential in school-age children. British Journal of Educational Psychology, 86(3), 397–411. https://doi.org/10.1111/bjep.12114.

    Article  Google Scholar 

  • Hernandez, C. C., Silva, L., Segura, R. A., Schimiguel, J., Ledon, M. F. P., Bezerra, L. N. M., & Silveria, I. F. (2010). Teaching programming principles through a game engine. CLEI Electronic Journal, 13(2), 3–11.

    Article  Google Scholar 

  • Hershkovitz, A., & Karni, O. (2018). Borders of chance: A holistic exploration of teaching in one-to-one computing programs. Computers & Education, 125, 429–443. https://doi.org/10.1016/j.compedu.2018.06.026.

    Article  Google Scholar 

  • Hoffman, B., & Spatariu, A. (2008). The influence of self-efficacy and metacognitive prompting on math problem solving efficiency. Contemporary Educational Psychology, 33, 875–893. https://doi.org/10.1016/j.cedpsych.2007.07.002.

    Article  Google Scholar 

  • Hromkovic, J., Kohn, T., Komm, D., & Serafini, G. (2016). Examples of algorithmic thinking in programming education. Olympiads in Informatics, 10, 111–124. https://doi.org/10.15388/ioi.2016.08.

    Article  Google Scholar 

  • Huang, T. H., Liu, Y. C., & Chang, H. C. (2012). Learning achievement in solving word-based mathematical questions through a computer-assisted learning system. Educational Technology & Society, 15(1), 248–259.

    Google Scholar 

  • Hwang, G. J., Chen, C. Y., Tsai, P. S., & Tsai, C. C. (2011). An expert system for improving web-based problem solving ability of students. Expert Systems with Applications, 38, 8664–8672. https://doi.org/10.1016/j.eswa.2011.01.072.

    Article  Google Scholar 

  • Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015). Supporting all learners in schoole-wide computatitonal thinking: A cross-case qualitative analysis. Computers & Education, 82(2015, 263–279. https://doi.org/10.1016/j.compedu.2014.11.022.

    Article  Google Scholar 

  • Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26. https://doi.org/10.3102/0013189X033007014.

    Article  Google Scholar 

  • Kafai, Y. B., & Burke, Q. (2015). Constructionist gaming: Understanding the benefits of making games for learning. Educational Psychologist, 50(4), 313–334. https://doi.org/10.1080/00461520.2015.1124022.

    Article  Google Scholar 

  • Kalelioğlu, F. (2015). A new way of teaching programming skills to K-12 students: Code.org. Computers in Human Behavior, 52, 200–210. https://doi.org/10.1016/j.chb.%202015.05.047.

    Article  Google Scholar 

  • Kalelioğlu, 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.

    Google Scholar 

  • Kızılkaya, G., & Aşkar, P. (2009). The development of a reflective thinking skill scale towards problem solving. Education and Science., 34(154), 82–92.

    Google Scholar 

  • Kobsiripat, W. (2015). Effects of the media to promote scratch programming capabilities creativity of elementary school students. Procedia-Social and Behavioral Sciences, 174, 227–232. https://doi.org/10.1016/j.sbspro.2015.01.651.

    Article  Google Scholar 

  • Kuhn, D. (1990). Developmental perspectives on teaching and learning thinking skills. New York: Jossey-Bass.

    Google Scholar 

  • Lai, A., & Yang, S. (2011). The learning effect of visualized programming learning on 6th graders’ problem solving and logical reasoning abilities. International Conference on Electrical and Control Engineering (ICECE), 16–18 Sept. 2011, Yichang, 6940–6944.

  • Lee, Y. J. (2011). Scratch: Multimedia programming environment for young gifted learners. Gifted Child Today, 34(2), 26–31. https://doi.org/10.1177/107621751103400208.

    Article  Google Scholar 

  • Loughran, J. (1996). Developing reflective practice: Learning about teaching learning through modelling. London: Falmer Press.

    Google Scholar 

  • Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12? Computers in Human Behavior, 41, 51–61. https://doi.org/10.1016/j.chb.2014.09.012.

    Article  Google Scholar 

  • Maloney, J., Resnick, M., Rusk, N., Silverman, B., & Eastmond, E. (2010). Scratch programming language and environment. ACM Transactions on Computing Education, 10(4), 1–15. https://doi.org/10.1145/1868358.1868363.

    Article  Google Scholar 

  • Meerbaum-Salant, O., Armoni, M., & Ben-Ari, M. (2013). Learning computer science concepts with scratch. Computer Science Education, 23(3), 239–264. https://doi.org/10.1080/08993408.2013.832022.

    Article  Google Scholar 

  • Milkova, E., & Hulkova, A. (2013). Algorithmic and logical thinking development: Base of programming skills. WSEAS Transactions on Computers., 2(12), 41–51.

    Google Scholar 

  • Mladenović, M., Rosić, M., & Mladenović, S. (2016). Comparing elementary students’ programming success based on programming environment. I.J. Modern Education and Computer Science, 8, 1–10. https://doi.org/10.5815/ijmecs.2016.08.01.

    Article  Google Scholar 

  • Mohamedi, H., Bensebaa, T., & Trigano, P. (2012). Developing adaptive intelligent tutoring system based on item response theory and metrics. International Journal of Advanced Science and Technology, 43, 1–14.

    Google Scholar 

  • Navarrete, C. C. (2013). Creative thinking in digital game design and development: A case study. Computers & Education, 69, 320–331. https://doi.org/10.1016/j.compedu.2013.07.025.

    Article  Google Scholar 

  • Papavlasopoulou, S., Sharma, K., & Giannakos, M. N. (2018). How do you feel about learning to code? Investigating the effect of children’s attitudes towards coding using eye-tracking. International Journal of Child-Computer Interaction, 17, 50–60. https://doi.org/10.1016/j.ijcci.2018.01.004.

    Article  Google Scholar 

  • Polya, G. (1957). How to solve it? (2nd ed.). Princeton, N.J: Princeton University Press.

    Google Scholar 

  • Popat, S., & Starkey, L. (2019). Learning to code or coding to learn? A systematic review. Computers & Education, 128, 365–376. https://doi.org/10.1016/j.compedu.2018.10.005.

    Article  Google Scholar 

  • Quahbi, I., Kaddari, F., Darhmaoui, H., Elachqar, A., & Lahmine, S. (2015). Learning basic programming concepts by creating games with scratch programming environment. Procedia-Social and Behavioral Sciences, 191, 1479–1482. https://doi.org/10.1016/j.sbspro.2015.04.224.

    Article  Google Scholar 

  • Sáez-López, J. M., Román-González, M., & Vázquez-Cano, E. (2016). Visual programming languages integrated across the curriculum in elementary school: A two year case study using “scratch” in five schools. Computer & Education, 97, 129–141. https://doi.org/10.1016/j.compedu.2016.03.003.

    Article  Google Scholar 

  • Scaffidi, C., & Chambers, C. (2012). Skill progression demonstrated by users in scratch animation environment. International Journal of Human-Computer Interaction, 28(6), 383–398. https://doi.org/10.1080/10447318.2011.595621.

    Article  Google Scholar 

  • Stanovich, K. E. (2009). Distinguishing the reflective, algorithmic, and autonomous minds: Is it time for a tri-process theory? In J. S. B. T. Evans & K. Frankish (Eds.), In two minds: Dual processes and beyond (pp. 55–88). New York, NY, US: Oxford University Press.

    Chapter  Google Scholar 

  • Tashakkori, A., & Teddlie, C. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Applied social research methods series (Vol.46). Thousand Oaks, CA: Sage.

  • Theodoraki, A., & Xinogalos, S. (2014). Studying students’ attitudes on using examples of game source code for learning programming. Informatics in Education, 13(2), 265–277. https://doi.org/10.15388/infedu.2014.07.

    Article  Google Scholar 

  • Turkey Ministry of National Education. (2017). Bilişim teknolojileri ve yazılım dersi öğretim programı, 2016–2017. Ankara: Milli Eğitim Basımevi.

    Google Scholar 

  • Van Merriënboer, J. J. G. (2013). Perspectives on problem solving and instruction. Computers & Education., 64, 153–160. https://doi.org/10.1016/j.compedu.2012.11.025.

    Article  Google Scholar 

  • Vicente, S., Orrantia, J., & Verschaffel, L. (2007). Influence of situational and conceptual rewording on word problem solving. British Journal of Educational Psychology, 77(4), 829–848. https://doi.org/10.1348/000709907X178200.

    Article  Google Scholar 

  • Wagner, T. (2008). The global achievement gap: Why even our best schools don't teach the new survival skills our children need and what we can do about it. Basic Books.

  • Wilson, A., & Moffatt, D. C. (2010). Evaluating scratch to introduce younger schoolchildren to programming. Paper presented at 22nd annual workshop of the psychology of programming interest group. Leganes: Spain.

    Google Scholar 

  • Wilson, A., Hainey, T., & Connolly, T. M. (2013). Using scratch with primary school children: An evaluation of games constructed to gauge understanding of programming concepts. International Journal of Game-Based Learning, 3(1), 93–109. https://doi.org/10.4018/ijgbl.2013010107.

    Article  Google Scholar 

  • Yang, Y.T.C., Chuang Y.C., Li, L.Y., Tseng, S.S. (2013). A blended learning environment for individualized English listening and speaking integrating critical thinking. Computers & Education, 63, 285–305. https://doi.org/10.1016/j.compedu.2012.12.012.

    Article  Google Scholar 

  • Year, R., & Martinez, L. (2017). A recommendation approach for programming online judges supported by data preprocessing techniques. Applied Intelligence, 47(2), 277–290. https://doi.org/10.1007/s10489-016-0892-x.

    Article  Google Scholar 

  • Yen, J. C., & Chen, M. P. (2008). Patterns of reflection for problem solving in a mobile learning environment. International Journal of Education and Information Technologies, 2(2), 121–124.

    Google Scholar 

  • Yildiz Durak, H. (2018). The effects of using different tools in programming teaching of secondary school students on engagement, computational thinking and reflective thinking skills for problem solving. Technology Knowledge and Learning., 2018, 1–17. https://doi.org/10.1007/s10758-018-9391-y.

    Article  Google Scholar 

  • Yükseltürk, E., & Altıok, S. (2015). Pre-service information technologies teachers’ view on computer programming teaching. Amasya Education Journal, 4(1), 50–65.

    Google Scholar 

  • Zavala, L. A., Gallardo, S. C., & García-Ruíz, M. Á. (2013). Designing interactive activities within scratch 2.0 for improving abilities to identify numerical sequences. New York: IDC.

    Book  Google Scholar 

  • Ziatdinov, R., & Musa, S. (2012). Rapid MentalСomputation system as a tool for algorithmic thinking of elementary school students development. European Researcher, 25(7), 1105–1110.

    Google Scholar 

  • Zsako, L., & Szlavi, P. (2012). ICT competences: Algorithmic thinking. Acta Didactica Napocensia, 5(2), 49–58 ISSN: 2065-1430.

    Google Scholar 

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  1. Department of Computer and Instructional Technology, Trabzon University, 61300, Trabzon, Turkey

    Ali Kürşat Erümit

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Erümit, A.K. Effects of different teaching approaches on programming skills. Educ Inf Technol 25, 1013–1037 (2020). https://doi.org/10.1007/s10639-019-10010-8

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