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Bilgi İşlemsel Düşünmenin Okuryazarlık Kapsamında Değerlendirilmesi

Year 2024, , 500 - 511, 26.06.2024

Barış Şaybak , Salih Birişçi

https://doi.org/10.30703/cije.1357138

Abstract

Modern yaşamın teknoloji odaklı ve kompleks bir yapıda olması, taşıdığı problemlerin de karmaşık biçimlerde ortaya çıkmasına neden olmaktadır. Bu zorluklarla başa çıkmak ve bunların üstesinden gelebilmek için işe koşulacak en önemli 21. Yüzyıl becerilerinden biri de bilgi işlemsel düşünmedir. Bu çalışmada, Andrea diSessa tarafından ortaya atılan bilgi işlemsel okuryazarlık teorisinin dayandığı noktalar mercek altına alınarak bilgi işlemsel düşünmeyle olan ilişkisi incelenmiştir. Alanyazın incelendiğinde, bilgi işlemsel düşünme ve bilgi işlemsel okuryazarlık kavramları arasındaki sınırların net bir şekilde çizilmediği görülmektedir. Bu gerekçeyle, çalışma kapsamında öncelikle bilgi işlemsel düşünme kavramının gelişimine yer verilmiş ve alt boyutları çeşitli araştırmacıların yaklaşımları dahilinde detaylandırılmıştır. Ardından bilgi işlemsel düşünme ile bilgi işlemsel okuryazarlık arasındaki sınırlar üzerinde durularak aralarındaki benzerlik ve farklılıklar sahip olduğu özellikler dahilinde açıklanmıştır. Son olarak, bilgi işlemsel okuryazarlık teorisinin ana hatları ele alınmış ve bu teoriye dayanan son 5 yıla ait literatürde yapılan çalışmalar incelenmiştir. Sonuç olarak, bilgi işlemsel düşünmenin bir okuryazarlık olarak kabul edilip edilemeyeceği hakkında tartışılmıştır.

Keywords

Bilgi işlemsel okuryazarlık bilgi işlemsel düşünme okuryazarlık diSessa bilgi işlemsel okuryazarlık kompütasyonel okuryazarlık

References

  • Aspray, W. (1990). John von Neumann and the origins of modern computing. Mit Press.
  • Blikstein, P., & Moghadam, S. H. (2018). Pre-college computer science education: A survey of the field.
  • Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada (Vol. 1, p. 25).
  • Cooper, S., Dann, W., & Pausch, R. (2000). Alice: a 3-D tool for introductory programming concepts. Journal of computing sciences in colleges, 15(5), 107-116.
  • Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking: A guide for teachers. Date of access: 09.04.2019. On the web: http://community.computingatschool.org.uk/resources/2324.
  • Denning, P. J. (2009). The profession of IT Beyond computational thinking. Communications of the ACM, 52(6), 28-30.
  • Denning, P. J. (2017). Remaining trouble spots with computational thinking. Communications of the ACM, 60(6), 33-39.
  • Dickes, A. C., & Farris, A. V. (2019). Beyond isolated competencies: Computational literacy in an elementary science classroom. In Critical, transdisciplinary and embodied approaches in STEM education (pp. 131-149). Cham: Springer International Publishing.
  • diSessa, A. (2000). Changing Minds: Computers, Learning and Literacy. Cambridge, MA: MIT Press.
  • diSessa, A. (2018). Computational Literacy and “The Big Picture” Concerning Computers in Mathematics Education. Mathematical Thinking and Learning, 20(1), 3–31. doi:10.1080/10986065.2018.1403544
  • Droumeva, M., & Jenson, J. (2020). Critical Pedagogy for the Media Generation: Youth Media Use and Computational Literacy through Game-Making. In Education for Democracy 2.0 (pp. 243-263). Brill.
  • Futschek, G. (2006). Algorithmic thinking: the key for understanding computer science. In Informatics Education–The Bridge between Using and Understanding Computers: International Conference in Informatics in Secondary Schools–Evolution and Perspectives, ISSEP 2006, Vilnius, Lithuania, November 7-11, 2006. Proceedings (pp. 159-168). Springer Berlin Heidelberg.
  • Gadanidis, G., Silva, R. S. R. da, Hughes, J., Namukasa, I., & Floyd, S. (2022). Computational Literacy & Mathematics Education. Revista Internacional De Pesquisa Em Educação Matemática, 12(4), 1-23. https://doi.org/10.37001/ripem.v12i4.3144
  • Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42, 38-43. https://doi.org/10.3102/0013189X12463051
  • Guzdial, M. (2019). Computing Education as a Foundation for 21st Century literacy. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19)(pp. 502-503.). New York, NY: ACM.
  • Günbatar, M. S. (2019). Computational thinking within the context of professional life: Change in CT skill from the viewpoint of teachers. Education and Information Technologies, 24(5), 2629-2652.
  • Horn, M.S., Banerjee, A., & West, M. (2020). Music and Coding as an Approach to a Broad-Based Computational Literacy. In: Giannakos, M. (eds) Non-Formal and Informal Science Learning in the ICT Era. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-6747-6_5
  • International Society for Technology in Education (ISTE) (2023, Mayıs 10) ISTE Standards For Students(Permitted Educational Use). http://www.iste.org/standards
  • Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015). Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis. Computers & Education, 82, 263–279.
  • ISTE & CSTA. (2011). Operational Definition of Computational Thinking for K–12 Education. https://cdn.iste.org/www-root/Computational_Thinking_Operational_Definition_ISTE.pdf?_ga=2.226223642.1465460610.1683620161-641442980.1681925191
  • ISTE & CSTA. (2011). Operational Definition of Computational Thinking for K–12 Education. https://cdn.iste.org/www-root/Computational_Thinking_Operational_Definition_ISTE.pdf?_ga=2.226223642.1465460610.1683620161-641442980.1681925191
  • Jacob, S., Nguyen, H., Tofel-Grehl, C., Richardson, D., & Warschauer, M. (2018). Teaching computational thinking to English learners. NYS TESOL journal, 5(2).
  • Jacob, S. R., & Warschauer, M. (2018). Computational thinking and literacy. Journal of Computer Science Integration, 1(1).
  • Kafai, Y. B., & Burke, Q. (2013). Computer programming goes back to school. Phi Delta Kappan, 95(1), 61-65. 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.
  • Kalelioğlu, F., Gülbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing, 4(3), 583-596
  • Kim, S., Han, S., & Kim, H. (2009, August). How Can We Teach Computational Literacy to All Levels of Students?. In 2009 Fifth International Joint Conference on INC, IMS and IDC (pp. 1395-1400). IEEE.
  • Küslü, F.(2022). Öğretmenlerin eleştirel dijital okuryazarlık becerilerinin çeşitli değişkenler açısından incelenmesi [Doktora Tezi, Anadolu Üniversitesi]. YÖK Ulusal Tez Merkezi
  • Magana, A. J., Falk, M. L., Vieira, C., & Reese Jr, M. J. (2016). A case study of undergraduate engineering students' computational literacy and self-beliefs about computing in the context of authentic practices. Computers in Human Behavior, 61, 427-442.
  • Martins, E. C., da Silva, L. G. Z., & de Almeida Neris, V. P. (2023). Systematic mapping of computational thinking in preschool children. International Journal of Child-Computer Interaction, 100566.
  • Nakamura, J., & Csikszentmihalyi, M. (2002). The concept of flow. Handbook of positive psychology, 89, 105.
  • Papert, S. (1980). Mindstorms: Children, Computers and Powerful Ideas. New York: Basic Books, Inc.
  • Papert, S. (1996). An exploration in the space of mathematics educations. Int. J. Comput. Math. Learn., 1(1), 95-123.
  • Peppler, K., Halverson, E. R., & Kafai, Y. B. (Eds.). (2016). Makeology: Makers as Learners (Volume 2) (Vol. 2). Routledge.
  • Odden, T. O. B., Lockwood, E., & Caballero, M. D. (2019). Physics computational literacy: An exploratory case study using computational essays. Physical Review Physics Education Research, 15(2), 020152.
  • Rich, P. J., Egan, G., & Ellsworth, J. (2019). A Framework for Decomposition in Computational Thinking. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE ’19. doi:10.1145/3304221.3319793
  • Riley, D. D., & Hunt, K. A. (2014). Computational thinking for the modern problem solver. CRC press.
  • Román-González, M. (2015). Computational thinking test: Design guidelines and content validation. Proceedings of EDULEARN15 Conference, 2436-2444
  • Román-González, M., Pérez-González, J. C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the computational thinking test. Computers in Human Behavior, 72, 678–691.
  • Román-González, M., Pérez-González, J. C., Moreno-León, J., & Robles, G. (2018). Extending the nomological network of computational thinking with non-cognitive factors. Computers in Human Behavior, 80, 441–459.
  • Rowe, E., Asbell-Clarke, J., Baker, R., Gasca, S., Bardar, E., & Scruggs, R. (2018). Labeling implicit computational thinking in pizza pass gameplay. In Extended abstracts of the 2018 CHI conference on human factors in computing systems (pp. 1-6).
  • Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition. https://eprints.soton.ac.uk/356481/1/Selby_Woollard_bg_soton_eprints.pdf
  • Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158.
  • Thalheim, B. (2000). Fundamentalsof entity-relationship modeling. New York, NY: Springer
  • Vakil, S. (2018). Equity in computer science education.Harvard Educational Review, 88(1), 26-53.
  • Vee, A. (2017). Coding literacy: How computer programming is changing writing. Mit Press.
  • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
  • Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. doi:10.1098/rsta.2008.0118
  • Wing, J. (2011). Research notebook: Computational thinking—What and why. The link magazine, 6, 20-23.
  • Wing, J. M. (2023a, Mayıs 10). Research Notebook: Computational Thinking--What and Why? https://www.cs.cmu.edu/link/research-notebook-computational-thinking-what-and-why
  • Wing, J.M. (2023b, Mayıs 16). Computational Thinking. http://www.cs.cmu.edu/afs/cs/usr/wing/www/Computational_Thinking.pdf
  • Wong, G. K. W., & Jiang, S. (2018). Computational Thinking Education for Children: Algorithmic Thinking and Debugging. 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). doi:10.1109/tale.2018.8615232
  • Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., ve Korb, J. T. (2014).Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1). https://doi.org/10.1145/2576872
  • Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141, 103607.

Assessment of Computational Thinking within the Scope of Literacy

Year 2024, , 500 - 511, 26.06.2024

Barış Şaybak , Salih Birişçi

https://doi.org/10.30703/cije.1357138

Abstract

The fact that modern life is technology-oriented and complex leads to the emergence of complex problems. One of the most important 21st century skills to deal with and overcome these challenges is computational thinking. This study investigated the points on which the theory of computational literacy proposed by Andrea diSessa is based on and examined its relationship with computational thinking. When the literature is analysed, it is seen that the boundaries between the concepts of computational thinking and computational literacy are not clearly drawn. For this reason, within the scope of the study, firstly, the development of the concept of computational thinking was given and its sub-dimensions were elaborated within the approaches of various researchers. Then, the boundaries between computational thinking and computational literacy were emphasised and the similarities and differences between them were explained in terms of their characteristics. Finally, the main outlines of the theory of computational literacy were discussed and the studies in the literature of the last 5 years based on this theory were analysed. As a result, the study discussed whether computational thinking can be accepted as a literacy.

Keywords

Computational literacy computational thinking literacy diSessa’s computational literacy

References

  • Aspray, W. (1990). John von Neumann and the origins of modern computing. Mit Press.
  • Blikstein, P., & Moghadam, S. H. (2018). Pre-college computer science education: A survey of the field.
  • Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada (Vol. 1, p. 25).
  • Cooper, S., Dann, W., & Pausch, R. (2000). Alice: a 3-D tool for introductory programming concepts. Journal of computing sciences in colleges, 15(5), 107-116.
  • Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking: A guide for teachers. Date of access: 09.04.2019. On the web: http://community.computingatschool.org.uk/resources/2324.
  • Denning, P. J. (2009). The profession of IT Beyond computational thinking. Communications of the ACM, 52(6), 28-30.
  • Denning, P. J. (2017). Remaining trouble spots with computational thinking. Communications of the ACM, 60(6), 33-39.
  • Dickes, A. C., & Farris, A. V. (2019). Beyond isolated competencies: Computational literacy in an elementary science classroom. In Critical, transdisciplinary and embodied approaches in STEM education (pp. 131-149). Cham: Springer International Publishing.
  • diSessa, A. (2000). Changing Minds: Computers, Learning and Literacy. Cambridge, MA: MIT Press.
  • diSessa, A. (2018). Computational Literacy and “The Big Picture” Concerning Computers in Mathematics Education. Mathematical Thinking and Learning, 20(1), 3–31. doi:10.1080/10986065.2018.1403544
  • Droumeva, M., & Jenson, J. (2020). Critical Pedagogy for the Media Generation: Youth Media Use and Computational Literacy through Game-Making. In Education for Democracy 2.0 (pp. 243-263). Brill.
  • Futschek, G. (2006). Algorithmic thinking: the key for understanding computer science. In Informatics Education–The Bridge between Using and Understanding Computers: International Conference in Informatics in Secondary Schools–Evolution and Perspectives, ISSEP 2006, Vilnius, Lithuania, November 7-11, 2006. Proceedings (pp. 159-168). Springer Berlin Heidelberg.
  • Gadanidis, G., Silva, R. S. R. da, Hughes, J., Namukasa, I., & Floyd, S. (2022). Computational Literacy & Mathematics Education. Revista Internacional De Pesquisa Em Educação Matemática, 12(4), 1-23. https://doi.org/10.37001/ripem.v12i4.3144
  • Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42, 38-43. https://doi.org/10.3102/0013189X12463051
  • Guzdial, M. (2019). Computing Education as a Foundation for 21st Century literacy. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19)(pp. 502-503.). New York, NY: ACM.
  • Günbatar, M. S. (2019). Computational thinking within the context of professional life: Change in CT skill from the viewpoint of teachers. Education and Information Technologies, 24(5), 2629-2652.
  • Horn, M.S., Banerjee, A., & West, M. (2020). Music and Coding as an Approach to a Broad-Based Computational Literacy. In: Giannakos, M. (eds) Non-Formal and Informal Science Learning in the ICT Era. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-6747-6_5
  • International Society for Technology in Education (ISTE) (2023, Mayıs 10) ISTE Standards For Students(Permitted Educational Use). http://www.iste.org/standards
  • Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015). Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis. Computers & Education, 82, 263–279.
  • ISTE & CSTA. (2011). Operational Definition of Computational Thinking for K–12 Education. https://cdn.iste.org/www-root/Computational_Thinking_Operational_Definition_ISTE.pdf?_ga=2.226223642.1465460610.1683620161-641442980.1681925191
  • ISTE & CSTA. (2011). Operational Definition of Computational Thinking for K–12 Education. https://cdn.iste.org/www-root/Computational_Thinking_Operational_Definition_ISTE.pdf?_ga=2.226223642.1465460610.1683620161-641442980.1681925191
  • Jacob, S., Nguyen, H., Tofel-Grehl, C., Richardson, D., & Warschauer, M. (2018). Teaching computational thinking to English learners. NYS TESOL journal, 5(2).
  • Jacob, S. R., & Warschauer, M. (2018). Computational thinking and literacy. Journal of Computer Science Integration, 1(1).
  • Kafai, Y. B., & Burke, Q. (2013). Computer programming goes back to school. Phi Delta Kappan, 95(1), 61-65. 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.
  • Kalelioğlu, F., Gülbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing, 4(3), 583-596
  • Kim, S., Han, S., & Kim, H. (2009, August). How Can We Teach Computational Literacy to All Levels of Students?. In 2009 Fifth International Joint Conference on INC, IMS and IDC (pp. 1395-1400). IEEE.
  • Küslü, F.(2022). Öğretmenlerin eleştirel dijital okuryazarlık becerilerinin çeşitli değişkenler açısından incelenmesi [Doktora Tezi, Anadolu Üniversitesi]. YÖK Ulusal Tez Merkezi
  • Magana, A. J., Falk, M. L., Vieira, C., & Reese Jr, M. J. (2016). A case study of undergraduate engineering students' computational literacy and self-beliefs about computing in the context of authentic practices. Computers in Human Behavior, 61, 427-442.
  • Martins, E. C., da Silva, L. G. Z., & de Almeida Neris, V. P. (2023). Systematic mapping of computational thinking in preschool children. International Journal of Child-Computer Interaction, 100566.
  • Nakamura, J., & Csikszentmihalyi, M. (2002). The concept of flow. Handbook of positive psychology, 89, 105.
  • Papert, S. (1980). Mindstorms: Children, Computers and Powerful Ideas. New York: Basic Books, Inc.
  • Papert, S. (1996). An exploration in the space of mathematics educations. Int. J. Comput. Math. Learn., 1(1), 95-123.
  • Peppler, K., Halverson, E. R., & Kafai, Y. B. (Eds.). (2016). Makeology: Makers as Learners (Volume 2) (Vol. 2). Routledge.
  • Odden, T. O. B., Lockwood, E., & Caballero, M. D. (2019). Physics computational literacy: An exploratory case study using computational essays. Physical Review Physics Education Research, 15(2), 020152.
  • Rich, P. J., Egan, G., & Ellsworth, J. (2019). A Framework for Decomposition in Computational Thinking. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE ’19. doi:10.1145/3304221.3319793
  • Riley, D. D., & Hunt, K. A. (2014). Computational thinking for the modern problem solver. CRC press.
  • Román-González, M. (2015). Computational thinking test: Design guidelines and content validation. Proceedings of EDULEARN15 Conference, 2436-2444
  • Román-González, M., Pérez-González, J. C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the computational thinking test. Computers in Human Behavior, 72, 678–691.
  • Román-González, M., Pérez-González, J. C., Moreno-León, J., & Robles, G. (2018). Extending the nomological network of computational thinking with non-cognitive factors. Computers in Human Behavior, 80, 441–459.
  • Rowe, E., Asbell-Clarke, J., Baker, R., Gasca, S., Bardar, E., & Scruggs, R. (2018). Labeling implicit computational thinking in pizza pass gameplay. In Extended abstracts of the 2018 CHI conference on human factors in computing systems (pp. 1-6).
  • Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition. https://eprints.soton.ac.uk/356481/1/Selby_Woollard_bg_soton_eprints.pdf
  • Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158.
  • Thalheim, B. (2000). Fundamentalsof entity-relationship modeling. New York, NY: Springer
  • Vakil, S. (2018). Equity in computer science education.Harvard Educational Review, 88(1), 26-53.
  • Vee, A. (2017). Coding literacy: How computer programming is changing writing. Mit Press.
  • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
  • Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. doi:10.1098/rsta.2008.0118
  • Wing, J. (2011). Research notebook: Computational thinking—What and why. The link magazine, 6, 20-23.
  • Wing, J. M. (2023a, Mayıs 10). Research Notebook: Computational Thinking--What and Why? https://www.cs.cmu.edu/link/research-notebook-computational-thinking-what-and-why
  • Wing, J.M. (2023b, Mayıs 16). Computational Thinking. http://www.cs.cmu.edu/afs/cs/usr/wing/www/Computational_Thinking.pdf
  • Wong, G. K. W., & Jiang, S. (2018). Computational Thinking Education for Children: Algorithmic Thinking and Debugging. 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). doi:10.1109/tale.2018.8615232
  • Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., ve Korb, J. T. (2014).Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1). https://doi.org/10.1145/2576872
  • Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141, 103607.
There are 53 citations in total.

Details

Primary Language Turkish
Subjects Educational Technology and Computing
Journal Section Research Article
Authors

Barış Şaybak 0000-0001-6501-7899

Salih Birişçi 0000-0001-7131-5112

Publication Date June 26, 2024
Published in Issue Year 2024

Cite

APA Şaybak, B., & Birişçi, S. (2024). Bilgi İşlemsel Düşünmenin Okuryazarlık Kapsamında Değerlendirilmesi. Cumhuriyet Uluslararası Eğitim Dergisi, 13(2), 500-511. https://doi.org/10.30703/cije.1357138

e-ISSN: 2147-1606

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