Software systems for simulation and visualization of abstract theoretical concepts
DOI:
https://doi.org/10.46793/ICEMIT23.295SKeywords:
software systems, education software, learning supportAbstract
Abstract theory presented in a traditional way often causes apathy in students, while connecting it to something real and physical usually leads to greater interest and enthusiasm. This paper discusses the importance of using educational software systems in the teaching process, which are effective auxiliary tools for mastering complex theoretical constructions in engineering education. The introduction and adoption of new information technologies in learning and teaching has evolved rapidly in recent years. The role of technology in higher education is to encourage students to think about the problem of study and to enhance the educational process, not to reduce it to a set of procedures for the delivery of content. Therefore, this paper lists the essential aspects of software systems that are necessary for the system to be characterized as educational, that is, as a learning support system.
References
Beauchamp, G., & Kennewell, S. (2010). Interactivity in the classroom and its impact on learning. Computers & education, 54(3), 759-766. https://doi.org/10.1016/j.compedu.2009.09.033
Wang, Q. (2008). A generic model for guiding the integration of ICT into teaching and learning. Innovations in education and teaching international, 45(4), 411-419. https://doi.org/10.1080/14703290802377307
Pradono, S., Astriani, M. S., & Moniaga, J. (2013). A method for interactive learning. CommIT (Communication and Information Technology) Journal, 7(2), 46-48. https://doi.org/10.21512/commit.v7i2.583
Evans, C., & Gibbons, N. J. (2007). The interactivity effect in multimedia learning. Computers & Education, 49(4), 1147-1160. https://doi.org/10.1016/j.compedu.2006.01.008
Wang, P. Y., Vaughn, B. K., & Liu, M. (2011). The impact of animation interactivity on novices’ learning of introductory statistics. Computers & Education, 56(1), 300-311. https://doi.org/10.1016/j.compedu.2010.07.011
Phillips, L. M., Norris, S. P., & Macnab, J. S. (2010). Visualization in mathematics, reading and science education (Vol. 5). Springer Science & Business Media.
DÍaz, J. M., Dormido, S., & Rivera, D. E. (2015). Interactive Education for Time-Domain Time Series Analysis using ITTSAE. IFAC-PapersOnLine, 48(28), 751-756. https://doi.org/10.1016/j.ifacol.2015.12.220
Kostić, V. (2017). Kognitivno-vizuelni pristup zasnovan na grafičkom prikazu funkcije u rešavanju matematičkih problema, Novi Sad.
Bétrancourt, M. (2005). The animation and interactivity principles in multimedia learning. The Cambridge handbook of multimedia learning, 287-296.
Aeschlimann, B., Herzog, W., & Makarova, E. (2016). How to foster students’ motivation in mathematics and science classes and promote students’ STEM career choice. A study in Swiss high schools. International Journal of Educational Research, 79, 31-41. https://doi.org/10.1016/j.ijer.2016.06.004
Hicks, R. J., Jackson, P., Kong, G., Ware, R. E., Hofman, M. S., Pattison, D. A., ... & Donnelly, P. S. (2019). 64Cu-SARTATE PET imaging of patients with neuroendocrine tumors demonstrates high tumor uptake and retention, potentially allowing prospective dosimetry for peptide receptor radionuclide therapy. Journal of Nuclear Medicine, 60(6), 777-785. https://doi.org/10.2967/jnumed.118.217745
Salkind, N. J. and Rasmussen, K. (2008). Encyclopaedia of Educational Psychology. 1, London: SAGE Publications, Inc.
Odadžić, V. (2016). Efficiency of the use of educational computer software in teaching biology in the grammar school (Doctoral dissertation, University of Novi Sad (Serbia)).
Tchounikine, P. (2011). Computer science and educational software design: A resource for multidisciplinary work in technology enhanced learning (pp. I-XII). Berlin: Springer.
Popov, S., & Jukić, S. (2006). Pedagogija. CNTI [ie] Centar za razvoj i primenu nauke, tehnologije i informatike.
Radosav, D. (2005). Educational software and authorial systems. University of Novi Sad, Technical Faculty" Mihajlo Pupin", Zrenjanin.
Nadrljanski, Đ., Nadrljanski, M., & Soleša, D. (2008). Digitalni mediji–obrazovni softver. Sombor: Pedagoški fakultet.
Taher, M. T., & Khan, A. S. (2015, June). Effectiveness of simulation versus hands-on labs: A case study for teaching an electronics course. In 2015 ASEE Annual Conference & Exposition (pp. 26-582).
Hamada, M., & Hassan, M. (2017). An enhanced learning style index: implementation and integration into an intelligent and adaptive e-learning system. Eurasia Journal of Mathematics, Science and Technology Education, 13(8), 4449-4470. https://doi.org/10.12973/eurasia.2017.00940a
Dewi, K. C., Ciptayani, P. I., Surjono, H. D., & Priyanto. (2018, January). Critical success factor for implementing vocational blended learning. In Journal of Physics: Conference Series (Vol. 953, p. 012086). IOP Publishing. https://doi.org/10.1088/1742-6596/953/1/012086
Shaffer, C. A., Cooper, M. L., Alon, A. J. D., Akbar, M., Stewart, M., Ponce, S., & Edwards, S. H. (2010). Algorithm visualization: The state of the field. ACM Transactions on Computing Education (TOCE), 10(3), 1-22. https://doi.org/10.1145/1821996.1821997
Hansen, S., Narayanan, N. H., & Hegarty, M. (2002). Designing educationally effective algorithm visualizations. Journal of Visual Languages & Computing, 13(3), 291-317. https://doi.org/10.1006/jvlc.2002.0236
Velazquez-Iturbide, J. A., Debdi, O., Esteban-Sanchez, N., & Pizarro, C. (2013). GreedEx: A visualization tool for experimentation and discovery learning of greedy algorithms. IEEE Transactions on Learning Technologies, 6(2), 130-143. https://doi.org/10.1109/TLT.2013.8
Lindgren, R., & Schwartz, D. L. (2009). Spatial learning and computer simulations in science. International Journal of Science Education, 31(3), 419-438. http://dx.doi.org/10.1080/09500690802595813
Rutten, N., Van Joolingen, W. R., & Van Der Veen, J. T. (2012). The learning effects of computer simulations in science education. Computers & education, 58(1), 136-153. https://doi.org/10.1016/j.compedu.2011.07.017
Pivec, M., Dziabenko, O., & Schinnerl, I. (2004). Game-Based Learning in Universities and Lifelong Learning:" UniGame: Social Skills and Knowledge Training" Game Concept. J. Univers. Comput. Sci., 10(1), 4-16. http://dx.doi.org/10.3217/jucs-010-01-0014
Gee, J. P. (2006). Are video games good for learning?. Nordic Journal of Digital Literacy, 1(3), 172-183. https://doi.org/10.18261/ISSN1891-943X-2006-03-02
Farbood, M. M., Pasztor, E., & Jennings, K. (2004). Hyperscore: a graphical sketchpad for novice composers. IEEE Computer Graphics and Applications, 24(1), 50-54. https://doi.org/10.1109/MCG.2004.1255809
Stamenković, S., & Jovanović, N. (2019). Comparative analysis of simulation system for teaching compilers. Bizinfo (Blace), 10(2), 1-23. https://doi.org/10.5937/bizinfo1902001S
Djordjevic, J., Nikolic, B., & Milenkovic, A. (2005). Flexible web-based educational system for teaching computer architecture and organization. IEEE Transactions on Education, 48(2), 264-273. https://doi.org/10.1109/TE.2004.842918
Stamenković, S., Jovanović, N., Vasović, B., Cvjetković, M., & Jovanović, Z. (2023). Software tools for learning artificial intelligence algorithms. Artificial Intelligence Review, 1-30. https://doi.org/10.1007/s10462-023-10436-0
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