Augmented Reality Application-Based Teaching Material's Effect on Viscera Learning Through Algorithmic Thinking

Ebru Turan Güntepe; Necla Dönmez Usta

doi:10.17509/jsl.v4i4.32054

Augmented Reality Application-Based Teaching Material's Effect on Viscera Learning Through Algorithmic Thinking

Ebru Turan Güntepe, Necla Dönmez Usta

Abstract

The study aimed to examine AR-based teaching material's effect on viscera learning through algorithmic thinking by the primary school teacher candidates who are sophomores in the classroom teaching department in the spring term of the 2018-2019 academic year at a state university in the Eastern Black Sea and selected by convenience method. Viscera Information Form (VIF) and Application Process and AR Survey Form (APSF) were used as data collection tools in the study. VIF included subjects viscera in a human model and placed them in the skeletal structure. The other form, APSF, is about the application process and the material prepared with augmented reality. While the data obtained from VIF were analyzed under the researcher-defined categories regarding the participants' showing each viscera in a human torso model and placing them in the skeletal structure, the data obtained from APSF was processed with content analysis. The study results revealed that AR-based teaching material makes a positive contribution to the learning of viscera through algorithmic thinking. In addition, this is determined as AR-based teaching material contributes to understanding the related basic concepts through algorithmic thinking.

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Abdüsselam, M. S., & Karal, H. (2012). The effect of mixed reality environments on the students’ academic achievement in physics education: 11th grade magnetism topic example. Journal of Research in Education and Teaching, 1(4), 170–181.

Ahi, B., & Balcı, S. (2017). “Where Does The Breath I Take From My Nose Go? Children’s Knowledge about Respiratory System. Elementary Education Online, 16(1):326-341.

Akçay, A. & Çoklar, A. (2016). A suggestion for the development of cognitive skills: programming education. In A., İşman, H. F. Odabaşı & B. Akkoyunlu (Eds.). Educational technology readings 2016 (s. 121-140). Adapazarı: Sakarya Univesity.

Anglin, G. J., Vaez, H., & Cunningham, K. L. (2013). Visual representations and learning: The role of static and animated graphics. In Handbook of research on educational communications and technology (pp. 854-905). Routledge.

Barron, A. E. (2004). Audiotory instruction. D. H. Jonassen (Edt.), Handbook of research on educational communication and technology (sf. 949-978). Mahwah, New Jersey: Lawrence Erlbaum Associates.

Brown, W. (2015). Introduction to algorithmic thinking. Retrieved March, 21, 2019.

Cai, S., Wang, X. & Chiang, F. K. (2014). A case study of augmented reality simulation system application in a chemistry course. Computers in Human Behavior, 37, 31– 40

Chiang, T. H., Yang, S. J., & Hwang, G. J. (2014). An augmented reality-based mobile learning system to improve students' learning achievements and motivations in natural science inquiry activities. Journal of Educational Technology & Society, 17(4), 352.365.

Cutts, Q., Connor, R., Michaelson, G., & Donaldson, P. (2014, November). Code or (not code) separating formal and natural language in CS education. In Proceedings of the 9th Workshop in Primary and Secondary Computing Education (pp. 20-28).

Delello, J. A. (2014). Insights from pre-service teachers using science-based augmented reality. Journal of Computers in Education, 1(4), 295–311.

Dönmez-Usta, N., Durukan, Ü.G. & Turan-Guntepe, E. (2020, November). Augmented Reality-Based Instructional Material on "Solar System". Paper presented at the International Science, Mathematics, Entrepreneurship and Technology Education Congress, Online.

Esteves, M., Fonseca, B., Morgado, L. & Martins, P. (2011). Improving teaching and learning of computer programming through the use of the second life virtual world. British Journal of Educational Technology, 42(4), 624-637.

Futschek, G. (2006). Algorithmic thinking: the key for understanding computer science. In International conference on informatics in secondary schools-evolution and perspectives (pp. 159-168). Springer, Berlin, Heidelberg.

Hsiao, H. S., Chang, C. S., Lin, C. Y., & Wang, Y. Z. (2016). Weather observers: a manipulative augmented reality system for weather simulations at home, in the classroom, and at a museum. Interactive Learning Environments, 1(19), 205-223.

Ibáñez, M. B., Di Serio, A., Villaran, D., & Kloos, C. D. (2016). Support for Augmented Reality Simulation Systems: The Effects of Scaffolding on Learning Outcomes and Behavior Patterns. IEEE Transactions on Learning Technologies, 9(1), 46 – 56.

Ibáñez, M. B., Di Serio, Á., Villarána, D., & Kloosa, C. (2014). Experimenting with electromagnetism using augmented reality: Impact on flow student experience and educational effectiveness. Computers & Education, 71(1–13).

ISTE. (2015). CT Leadership toolkit. https://cdn.iste.org/www-root/ct-documents/ct-leadershipt-toolkit.pdf?sfvrsn=4

Kaufmann, H. (2003). Collaborative augmented reality in education. Institute of Software Technology and Interactive Systems, Vienna University of Technology.

Kerawalla, L., Luckin, R., Seljeflot, S., & Woolard, A. (2006). Making it real: exploring the potential of augmented reality for teaching primary school science. Virtual Reality, 10(3–4), 163–174.

Kılıç-Çakmak, E. (2007). The Bottle Neck in Multimedia: Cognitive Overload. Gazi University Journal of Gazi Educational Faculty (GUJGEF), 2, 1-24.

Küçük, S., Yılmaz, R., & Göktaş, Y. (2014). Augmented Reality for Learning English: Achievement, Attitude and Cognitive Load Levels of Students. Education and Science, 39(176), 393-404.

Lee, Y. C. (2015). Self-generated analogical models of respiratory patways. Journal of Biological Education, 49(4), 370-384.

Nayak, A. S., & Vijayalakshmi, M. (2013). Teaching Computer System Design and Architecture course—An experience. In 2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE) (pp. 21-25). IEEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6756298

Nunes, F., Herpich, F., Amaral, É., Voss, G., Zunguze, M., Medina, R. & Tarouco, L. (2017). A dynamic approach for teaching algorithms: Integrating immersive environments and virtual learning environments. Computer Applications in Engineering Education, 25(5), 732-751.

Özarslan, Y. (2013). The effect of augmented reality enhanced learning materials on learners’ achievement and learners’ satisfaction. (Unpublished doctoral dissertation). University of Anadolu, Eskişehir.

Pelaez, N. J., Boyd, D. D., Rojas, J. B. & Hoover, M. A. (2005). Prevalence of blood circulation misconception among prospective elementary theachers. Adv. Physiol. Educ., 29, 172-181.

Perez-Lopez, D., & Contero, M. (2013). Delivering educational multimedia contents through an augmented reality application: A case study on its impact on knowledge acquisition and retention. Turkish Online Journal of Educational Technology - TOJET, 12(4), 19–28.

Perry, G. (2009). Absolute beginner’s guide to programming (trans. T. Aksoy). İstanbul: System Publishing.

Prokop, P. & Fancovicova, J. (2006). Students’ ideas about the human body: Do they really draw what they know? Journal of Baltic Science Education, 2(10), 86-95.

Pruden, S., Levine, S. & Huttenlocher, J. (2011). Children’s spatial thinking: Does talk about the spatial world matter?. Developmental Science, 14(6), 1417-1430.

Ramazanoğlu, M., & Aker, A. (2019). Opınıons of the teacher candıdates related to use of augmented reality technology for educatıonal purposes. Turkish Studies-Information Technologies and Applied Sciences, 14 (1), 91-106.

Ramazanoğlu, M., & Solak, M. Ş. (2020). Attitudes of secondary school students towards the use of augmented reality applications in education: Sample of Siirt province. Kastamonu Education Journal, 28(4), 1646-1656.

Selby, C. & Woollard, J. (2014). Refining an understanding of computational thinking. https://eprints.soton.ac.uk/372410/.

Selby, C. & Woollard, J., (2013). Computational thinking: the developing definition. University of Southampton (Eprints) 6pp. https://eprints.soton.ac.uk/356481/1/Selby_Woollard_bg_soton_eprints.pdf. Accessed 24 March 2020

Shelton, B. E., & Hedley, N. R. (2002). Using augmented reality for teaching earth-sun relationships to undergraduate geography students. In Augmented Reality Toolkit, The First IEEE International Workshop (p. 8--pp).

Shelton, B. E., & Stevens, R. (2004). Using coordination classes to interpret conceptual change in astronomical thinking. In Proceedings of the 6th international conference for the learning sciences. Lawrence Erlbaum & Associates, Mahweh, NJ.

Sırakaya, M. (2015). Effects of augmented reality applications on students' achievement, misconceptions and course engagement. (Unpublished doctoral dissertation). University of Gazi, Ankara.

Tomi, A. B., & Rambli, D. R. A. (2013). An interactive mobile augmented reality magical playbook: Learning number with the thirsty crow. Procedia computer science, 25, 123- 130.

Haridi, S., & Van-Roy, P. (2004). Concepts, Techniques, and Models of Computer Programming. Cambridge: MIT Press.

Vasconcelos, J. (2007). Basic strategy for algorithmic problem solving. Extraído el, 2. https://www.cs.jhu.edu/~jorgev/cs106/ProblemSolving.html. Accessed 14 January 2019.

Wang, H. Y., Duh, H. B. L., Li, N., Lin, T. J., & Tsai, C. C. (2014). An investigation of university students’ collaborative inquiry learning behaviors in an augmented reality simulation and a traditional simulation. Journal of Science Education and Technology, 23(5), 682-691.

Wu, H.K., Lee, S. W. Y., Chang, H. Y.,& Liang, J. C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41-49.

Yecan, E., Özçınar, H., & Tanyeri, T. (2017). ICT Teachers’ Visual Programming Teaching Experiences. Elementary Education Online, 16(1).

Yildirim, S. (2016). "Fen Bilimleri dersinde artırılmış gerçeklik uygulamalarının öğrencilerin başarısına, motivasyonuna, problem çözme becerilerine yönelik algısına ve tutumlarına etkisi [The impact of augmented reality to student's success, motivation, and their perception and behavior related to problem solving abilities in science classes]." Unpublished Master Thesis), Ankara University, Institute of Educational Sciences, Department of Computer Education and Instructional Technologies, Educational Technologies, Ankara.

Yoon, S., Anderson, E., Lin, J., & Elinich, K. (2017). How augmented reality enables conceptual understanding of challenging science content. Journal of Educational Technology & Society, 20(1), 156-168.

Ziatdinov, R. & Musa, S. (2013). Rapid mental сomputation system as a tool for algorithmic thinking of elementary school students development. European Researcher, 25(7), 1105-1110

Zsakó, L. & Szlávi, P. (2012). Ict competences: Algorithmic thinking. Acta Didactica Napocensia, 5(2), 49-58.

Zvi-Assaraf, O., Dodick, J & Tripto, J. (2013). High school students’ understanding of the human body system. Research in Science Education, 43, 33-56.

DOI: https://doi.org/10.17509/jsl.v4i4.32054

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