Evaluation of material supported virtual reality and animation on 6th grade students’ success, cognitive levels and loads in the unit of circulatory system

HACI MEHMET YEŞİLTAŞ, EROL TAŞ

Abstract

The aim of this study was to research the effects of virtual reality and animation supported science teaching software prepared for 6th-grade systems in our body unit circulatory system subject on students’ cognitive load levels, academic success and cognitive levels. Cognitive Level Scale (CLES) and Cognitive Load Scale (CLOS) were used as data collection instrument. When the results of the study were examined, a significant difference was found between cognitive levels of students in favour of the experimental group which received virtual reality software supported teaching. At the same time, since cognitive level scale is an achievement test, a comparison was made between the groups in terms of academic achievement. Academic achievements of the students in the virtual reality software supported experimental group were significantly different and higher when compared with students in the other group. In addition, when cognitive levels of the students were examined, it was found that virtual reality supported experimental group had higher cognitive levels when compared with other groups. When the scores of cognitive load scale were examined, it was found that virtual reality supported experimental group had lower cognitive load. As a conclusion, virtual reality supported science education contributes to students’ academic achievement, their states of having higher cognitive levels and lower cognitive load.

Keywords

Animation, cognitive level, cognitive load, virtual reality

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References

Abidi, M. H., Al-Ahmari, A., & Ahmad, A. (2018) A systematic approach to parameter selection for CAD-virtual reality data translation using response surface methodology and MOGA-II. PLoS ONE, 13(5), e0197673.

Agad, L. M. L., Pitonang, D. J. A., Terrado, T. F., Salic-Hairulla, M. A., Gomez, R. G., Nabua, E. B., & Yuenyong, C. (2019). Development of webquest using Google Site in teaching Circulatory System. Journal of Physics: Conference Series, 1340(1), 012060.

Aktamış, H. (2017) Determining the factors that influence parents’ views about science and technology. Research in Science & Technological Education, 35(2), 169-182.

Arıcı, A. V. (2013). A study on 3D-virtual reality in science education programs: "Solar system and beyond: Space puzzle" unit sample. Master’s thesis, Adnan Menderes University, Turkey.

Aslan, R. (2017). International competitive new possibilities: Virtual reality, increased reality and hologram. Göller Bölgesi Aylık Hakemli Ekonomi ve Kültür Dergisi, 49(5), 21-26.

Aydin, F. (2015). The relationship between pre-service science teachers’ cognitive styles and their cognitive structures about technology. Research in Science & Technological Education, 33(1), 88-110.

Aytekin. M., (2019). The effects of responsive website design and screen size of tablets on university students' reading comprehension, cognitive load, and preference of reading on tablets. Master’s thesis, Middle East Technical University, Turkey.

Bayraktar, E., & Kaleli, F. (2007). Sanal gerçeklik ve Uygulama Alanları. In Akademik Bilişim Günleri (pp. 1-6). Turkey: Dumlupınar Üniv.

Bowman, D. A., & McMahan, R. P. (2007). Virtual reality: How much immersion is enough? Computer, 40(7), 36-43.

Cansız, Y. (2012). Effects of way finding affordances on usability of virtual world environments in terms of users' satisfaction, performance, and mental workload: Examination by eye-tracking and fnir device. Μaster’s thesis, Middle East Technical University, Turkey.

Carruth, D. W. (2017). Virtual Reality for education and workforce training. In 15th International Conference on Emerging eLearning Technologies and Applications (pp. 1-6). Slovakia: IEEE.

Çavaş, B., Kışla, T., & Twining, P. (2004). A study on the use of information and communication technologies in education: DICTatEd approach. Akademik Bilişim, 4, 11-13.

Çepni, S. (2014). Araştırma ve proje çalışmalarına giriş. Trabzon, Türkiye: Celepler Matbacılık.

Çepni, S., & Ormancı, Ü. (2017). Geleceğin Dünyası. In S. Çepni (Ed.), Kuramdan Uygulamaya STEM Eğitimi (pp. 1-32). Baskı, Ankara: Pegem A Akademi.

Çepni, S., Tas, E., & Kose, S. (2006). The effects of computer-assisted material on students’ cognitive levels, misconceptions and attitudes towards science. Computers & Education, 46(2), 192-205.

Chen, C. J. (2010). Theoretical bases for using virtual reality in education. Themes in Science and Technology Education, 2(1/2), 71-90.

Chen, S. F. (2017).Modeling the influences of upper-elementary school students’ digital reading literacy, socioeconomic factors, and self-regulated learning strategies. Research in Science & Technological Education, 35(3), 330-34.

Chen, C. H., Yang, J. C., Shen, S., & Jeng, M. C. (2007). A desktop virtual reality earth motion system in astronomy education. Journal of Educational Technology & Society, 10(3), 289-304.

Cierniak, G., Scheiter, K., & Gerjets, P. (2009). Explaining the split-attention effect: Is the reduction of extraneous cognitive load accompanied by an increase in germane cognitive load? Computers in Human Behavior, 25, 315-324.

Çoban, M. (2020). The effects of teaching with augmented reality supported videos on academic success, cognitive load, and motivation. Abant İzzet Baysal University Journal of Education Faculty, 20(2), 1079-1098.

Coruh, L. (2011). Assessment of the effectiveness of virtual reality applications in art history course as a learning model (An example of Erciyes University Architecture & Fine Arts Faculties). Doctoral dissertation, Gazi University, Turkey.

Cukurova, M., Bennett, J., & Abrahams, I., (2018). Students’ knowledge acquisition and ability to apply knowledge into different science contexts in two different independent learning settings. Research in Science & Technological Education, 36(1), 17-34.

Duncan, I., Miller, A., & Jiang, S. (2012). A taxonomy of virtual worlds usage in education. British Journal of Educational Technology, 43(6), 949-964.

Fosnot, C. T., & Perry, R. S. (1996). Constructivism: A psychological theory of learning. In C. T. Fosnot (Ed.), Constructivism: Theory, Perspectives, and Practice (pp. 8-33). New York: Teachers College Press.

Freina, L., & Ott, M. (2015). A literature review on immersive virtual reality in education: State of the art and perspectives. In The 11th International Scientific Conference ELearning and Software for Education (pp. 133-141). Bucharest.

Gardner, W., Demirtaş, A., & Doğanay, A. (1997). ‘Öğretmen kılavuzu’, Sosyal bilimler öğretimi programı. YÖK/Dünya Bankası Yayınları.

Goodwin, M. S., Wiltshire, T., & Fiore, S. M. (2015). Applying research in the cognitive sciences to the design and delivery of instruction in virtual reality learning environments. In R. Shumaker & S. Lackey (Eds), VAMR 2015, (Vol. 9179, pp. 280-291). Switzerland: Springer International Publishing.

Gregory, S., Lee, M. J., Dalgarno, B., & Tynan, B. (Eds.). (2016). Learning in virtual worlds: Research and applications. Canada: Athabasca University Press.

Güneş, E., Yüksel, M., & Kaya, P. (2017). Muhasebe eğitimi alan lisans öğrencilerinin bilgi ve iletişim teknolojilerine yönelik tutumları. Ahi Evran University Journal of Kırşehir Education Faculty, 18(1), 367-382.

Guzey, S. S., Harwell, M., & Moore, T. (2014). Development of an instrument to assess attitudes toward science, technology, engineering, and mathematics (STEM). School Science and Mathematics, 114(6), 271-279.

Hu-Au, E., & Lee, J. J. (2017). Virtual reality in education: a tool for learning in the experience age. International Journal of Innovation in Education, 4(4), 215-226.

Huang, H. M., Rauch, U., & Liaw, S. S. (2010). Investigating learners’ attitudes toward virtual reality learning environments: Based on a constructivist approach. Computers & Education, 55(3), 1171-1182.

Huzvar, M., & Rigova, Z. (2016). Efficiency of education expenditure in OECD countries. In Conference “Applications of Mathematics and Statistics in Economics 2016” Proceedings (pp. 152-162). Prague: University of Economics.

Işık, O., & Akbolat, M. (2010). The use of information technology and hospital information systems: A study on health employees. Bilgi Dünyası, 11(2), 365-389.

Johnston, E., Olivas, G., Steele, P., Smith, C., & Bailey, L. (2018). Exploring pedagogical foundations of existing virtual reality educational applications: A content analysis study. Journal of Educational Technology Systems, 46(4), 414-439.

Kablan, Z., & Erden, M. (2008). Design principles of multimedia learning materils according to the cognitive load theory. Cagdas Egitim Dergisi, 354, 5-10.

Karamustafaoğlu, O., Pazar, Ş. B., & Karamustafaoğlu, S. (2018). Teaching of the circulatory system with educational games: Blood road play. Journal of Education in Eskisehir Osmangazi University Turkic World Apply and Research Center, 3(2), 1-18.

Kaya, E. (2015). Determining the effectiveness of technology supported guided materials based on cognitive load theory principles related to "solar system and beyond: Space Puzzle" unit. Doctoral dissertation, Karadeniz Technical University, Turkey.

Kayabaşı, Y. (2005) Virtual Reality and its use for educational purposes. The Turkish Online Journal of Educational Technology, 4(3), 151-58.

Kılıç, E., & Karadeniz, Ş. (2004). Specifying students' cognitive load and disorientation level in hypermedia. Kuram ve Uygulamada Eğitim Yönetimi Dergisi, 40, 562-579.

Kılıç, E., & Yıldırım, Z. (2010). Evaluating working memory capacity and cognitive load in learning from goal based scenario centered 3D multimedia. Procedia - Social and Behavioral Sciences, 2(2), 4480-4486.

Kim, J. W., Myung, S. J., Yoon, H. B., Moon, S. H., Ryu, H., & Yim, J. J. (2020). How medical education survives and evolves during COVID-19: Our experience and future direction. PLoS One, 15(12), e0243958.

Kumalasari, L., Hilmi, A. Y., & Priyandoko, D. (2017). The application of multiple intelligence approach to the learning of human circulatory system. Journal of Physics: Conference Series, 909(1), 012066.

Li, L., Zhu, W., & Hu, H. (2021). Multivisual animation character 3D model design method based on VR technology. Complexity, 2021, ID 9988803. Retrieved from https://doi.org/10.1155/2021/9988803.

Liou, P. Y. (2015). Developing an instrument for assessing students’ concepts of the nature of technology. Research in Science & Technological Education, 33(2), 162-181.

Luo, H., & Wu, Y. (2022). Using virtual reality technology to construct computer-aided animation material development. Computer-Aided Design & Applications, 19(S5), 155-166.

Manunure, K., Delserieys, A., & Castéra, J. (2019). The effects of combining simulations and laboratory experiments on Zimbabwean students’ conceptual understanding of electric circuits. Research in Science & Technological Education, 38(3), 289-307.

MEB. (2018). Fen bilimleri dersi öğretim programı (İlkokul ve Ortaokul 3, 4, 5, 6, 7 ve 8. Sınıflar). Millî Eğitim Bakanlığı Talim ve Terbiye Kurulu Başkanlığı.

Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014). Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, 29-40.

Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers & Education, 56(3), 769-780.

Nordlöf, C., Höst, C.E., & Hallström, J. (2017). Swedish technology teachers’ attitudes to their subject and its teaching. Research in Science & Technological Education, 35(2,) 195-214.

Owens, D., & Hite, R. L, (2020): Enhancing student communication competencies in STEM using virtual global collaboration project based learning, Research in Science & Technological Education, DOI: 10.1080/02635143.2020.1778663.

Özen, N., Yazıcıoğlu, İ., & Çınar, F. İ. (2017). Hemşirelik öğrencilerinin sağlık bakımında bilgisayar kullanımına yönelik tutumları ile klinik karar verme becerileri arasındaki ilişkinin incelenmesi. Hemşirelikte Eğitim Ve Araştirma Dergisi, 14(2), 112-118.

Özer, Ö. (2017). The effect of mobile-assisted language learning environment on efl students' academic achievement, acceptance of mobile learning devices and cognitive load. Doctoral dissertation, Mersin University, Turkey.

Pallant, J. (2017). SPSS kullanma kılavuzu-SPSS ile adım adım veri analizi (Çev. Sibel Balcı, Berat Ahi). Ankara: Anı.

Pantelidis, V. S. (2010). Reasons to use virtual reality in education and training courses and a model to determine when to use virtual reality. Themes in Science and Technology Education, 2(1/2), 59-70.

Pass, F. & Van Merrienboer, J. J. G. (1993). The efficiency of instructional conditions: An approach to combine mental effort and performance measures. Human Factors, 35(4), 737-743.

Pelaez, N. J., Boyd, D. D., Rojas, J. B., & Hoover, M. A. (2005). Prevalence of blood circulation misconceptions among prospective elementary teachers. Advances in Physiology Education, 29, 172-181.

Schnotz, W., & Kürschner, C. (2007). A reconsideration of cognitive load theory. Educational Psychology Review, 19, 469-508.

Scott, J., & Marshall, G. (2009). Oxford dictionary of sociology. Oxford: Oxford University Press.

Senio, I. A. A. (2021). The effects of unity programming on students’ ability in computer programming: the mediating role of students’ self-efficacy and attitude. In International Conference on Applied Science and Technology Conference Proceedings (Vol. 5, No. 1). Retrieved from https://proceedings.kstu.edu.gh/index.php/icast/article/view/21.

Sezgin, M. E. (2009). The effects of multimedia courseware designed based on cognitive theory of multimedia learning on cognitive load, performance levels and retention. Doctoral dissertation, Çukurova University, Turkey.

Şişman, B., & Küçük, S. (2018). Pre-service teachers’ flow, anxiety and cognitive load levels ın robotics programming. Eğitim Teknolojisi Kuram ve Uygulama, 8(2), 125-156.

Sobral, S. R. (2021). Bloom's Taxonomy to improve teaching-learning in introduction to programming. International Journal of Information and Education Technology. DOI: 10.18178/ijiet.2021.11.3.1504.

Sweller, J. (2006). Discussion of ‘Emerging topics in cognitive load research: Using learner and ınformation characteristics in the design of powerful learning environments’. Applied Cognitive Psychology, 20(3), 353-357.

Sweller, J., Van Merrienboer, J., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251-296.

Takır, A. (2011). The effect of an instruction designed by cognitive load theory principles on 7th grade students' achievement in algebra topics and cognitive load. Doctoral dissertation, Middle East Technical University, Turkey.

Topuz, Y. (2018). The comparison of virtual reality and desktop three-dimensional materials in anatomy teaching in terms of academic performance and cognitive load. Master’s thesis, Marmara University, Turkey.

Trilling, B., & Fadel, C. ( 2009). 21st century skills: Learning for life in our times. New York: John Wiley.

Üner, S. (2010). The analysis of questions in 9th and 10th grade chemistry textbooks and chemistry examinations with respect to Bloom's Taxonomy and defining the relationship between these questions and students cognitive level. Master’s thesis, Gazi University, Turkey.

Wilen, W. (1991). Questioning skills for teachers. What research say to the teacher? Washington, D.C.: National Education Association.

Yıldırım, B., & Selvi, M. (2017). An experimental research on effects of stem applications and mastery learning. Journal of Theory and Practice in Education, 13(2), 183-210.

Zhang, F, Wei, Q., & Xu, L. (2020). A fast simulation tool for fluid animation in VR Application based on Gpus. Multimedia Tools and Applications, 79(23), 16683-16706.


DOI: https://doi.org/10.26220/rev.3816

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