USING OF PhET–INTERACTIVE SIMULATION IN TEACHING OF GENERAL CHEMISTRY TO PHARMACEUTICAL STUDENTS IN HIGHER EDUCATION ESTABLISHMENT
DOI:
https://doi.org/10.28925/2312-5829.2020.3.12Keywords:
general chemistry, simulators, virtual lab, PhET–Interactive Simulation, academic progressAbstract
The problems and prospects of using virtual simulators for increasing the interactivity of educational materials in teaching general and inorganic chemistry in higher educational institutions are considered. The virtual practical works in general chemistry with the use of PhET’s simulations by pharmacist students were tested in accordance with the developed protocols and instructions. The advantages and disadvantages of the virtual practical works on the PhET–Interactive Simulation (http://phet.colorado.edu) are formulated. Performing practical tasks on the PhET
simulators enhances the quality of knowledge. It is established that the use of PhET simulations is an effective method of interactive learning, which helps to improve the learning of material in both traditional lectures and demonstrations, as well as in practical classes. Students have a growing cognitive interest in real experiment, developing research and experimental competencies, in particular, the ability to formulate and ask questions, make predictions, use evidence to support ideas, focus on the main details, choose the optimal algorithms for the experiment, develop facility with commonly-used scientific representations and measurement tools, coordinate across scientific representations, science models, and real world situations. Students study to identify cause-effect relationships, make connections to everyday life. PhET simulations provide students with the opportunity to work with new material and develop further interest in science, however, the effectiveness of learning depends not only on the PhET, but also on whom and where it is used, how it is integrated into the learning process. PhET–-Interactive Simulations are effective for students to develop the skills and competencies needed to master the following chemical disciplines.
Downloads
References
• Domingues, L., Rocha, I., Dourado, F., Alves, M., Ferreira, E. (2010) Virtual laboratories in (bio)chemical engineering education. Education for Chemical Engineers, 5, 22–27. DOI:10.1016/j.ece.2010.02.001
• Martin-Villalba, C., Urquia, A., Dormido, S. (2012) Development of virtual-labs for education in chemical process control using Modelica. Computers and Chemical Engineering, 39, 170–178. DOI:10.1016/j.compchemeng.2011.10.010
• URL: http://modelscience.com/products.html Model ChemLab (Дата звернення: 22.03.2020)
• URL: https://learning.ua Найбільша освітня онлайн платформа (Дата звернення: 22.03.2020)
• URL: https://phet.colorado.edu Interactive Simulations for Science and Math (Дата звернення: 22.03.2020)
• Платонов, К. (1961) Психологические вопросы теории тренажеров. Вопросы психологии, 4, 77–86.
• Aldahmash, A., Abraham, M. (2009) Kinetic versus Static Visuals for Facilitating College Students' Understanding of Organic Reaction Mechanisms in Chemistry. Journal of Chemical Education, 86, 442–1446. DOI:10.1021/ed086p1442
• Kelly, R., Akaygun, S. (2016) Insights into How Students Learn the Difference between a Weak Acid and a Strong Acid from Cartoon Tutorials Employing Visualizations. Journal of Chemical Education, 93, (6), 1010–1019. DOI:10.1021/acs.jchemed.6b00034
• Sanger, M., Campbell, E., Felker, J., Spencer, C. (2007) "Concept Learning versus Problem Solving": Does Particle Motion Have an Effect? Journal of Chemical Education, 84, 875–879. DOI:https://doi.org/10.1021/ed084p875
• Kelly, R., Jones, L. (2008) Investigating Students' Ability to Transfer Ideas Learned from Molecular Animations of the Dissolution Process. Journal of Chemical Education, 2, 303–309. DOI:https://doi.org/10.1021/ed085p303
• Kozma, R. (2003) The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction, 13, 205–226. DOI:https://doi.org/10.1016/S0959-4752(02)00021-X
• Schank, P., Kozma, R. (2002) Learning Chemistry Through the Use of a Representation-Based Knowledge Building Environment. J. Com. Math. Sci. Teach., 21, 253–279.
• Chi, M., Feltovich, P., Glaser, R. (1981) Categorization and Representation of Physics Problems by Experts and Novices. Cognitive Science, 5, 121–152. DOI: https://doi.org/10.1207/s15516709cog0502_2
• Lancaster, K., Moore, E., Parson, R. (2013) Insights from Using PhET’s Design Principles for Interactive Chemistry Simulations. Pedagogic Roles of Animations and Simulations in Chemistry Courses. ACS Symposium Series. American Chemical Society: Washington, DC, 97–126. DOI:10.1021/bk-2013-1142.ch005
• Kohl, P., Finkelstein, N. (2006) Effect of instructional environment on physics students’ representational skills. Physical Review Special Topics - Physics Education Research, 2, 010102. DOI:10.1103/PhysRevSTPER.2.010102
• Kelly, R., Jones, L. (2007) Exploring How Different Features of Animations of Sodium Chloride Dissolution Affect Students’ Explanations. Journal of Science Education and Technology, 16, 413–429. DOI:10.1007/s10956-007-9065-3
References
• Domingues, L., Rocha, I., Dourado, F., Alves, M., Ferreira, E. (2010) Virtual laboratories in (bio)chemical engineering education. Education for Chemical Engineers, 5, 22–27. DOI:10.1016/j.ece.2010.02.001
• Martin-Villalba, C., Urquia, A., Dormido, S. (2012) Development of virtual-labs for education in chemical process control using Modelica. Computers and Chemical Engineering, 39, 170–178. DOI:10.1016/j.compchemeng.2011.10.010
• URL: http://modelscience.com/products.html Model ChemLab (Accessed: 22- Mar- 2020)
• URL: https://learning.ua Najbiljsha osvitnja onlajn platforma [Online education platform] (Accessed: 22- Mar- 2020)
• URL: https://phet.colorado.edu Interactive Simulations for Science and Math (Accessed: 22- Mar- 2020)
• Platonov, K. (1961) Psykhologhycheskye voprosy teoryy trenazherov [Psychological issues of the theory of simulators]. Voprosy psykhologhyy, 4, 77–86.
• Aldahmash, A., Abraham, M. (2009) Kinetic versus Static Visuals for Facilitating College Students' Understanding of Organic Reaction Mechanisms in Chemistry. Journal of Chemical Education, 86, 442–1446. DOI:10.1021/ed086p1442
• Kelly, R., Akaygun, S. (2016) Insights into How Students Learn the Difference between a Weak Acid and a Strong Acid from Cartoon Tutorials Employing Visualizations. Journal of Chemical Education, 93, (6), 1010–1019. DOI:10.1021/acs.jchemed.6b00034
• Sanger, M., Campbell, E., Felker, J., Spencer, C. (2007) "Concept Learning versus Problem Solving": Does Particle Motion Have an Effect? Journal of Chemical Education, 84, 875–879. DOI:https://doi.org/10.1021/ed084p875
• Kelly, R., Jones, L. (2008) Investigating Students' Ability to Transfer Ideas Learned from Molecular Animations of the Dissolution Process. Journal of Chemical Education, 2, 303–309. DOI:https://doi.org/10.1021/ed085p303
• Kozma, R. (2003) The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction, 13, 205–226. DOI:https://doi.org/10.1016/S0959-4752(02)00021-X
• Schank, P., Kozma, R. (2002) Learning Chemistry Through the Use of a Representation-Based Knowledge Building Environment. J. Com. Math. Sci. Teach., 21, 253–279.
• Chi, M., Feltovich, P., Glaser, R. (1981) Categorization and Representation of Physics Problems by Experts and Novices. Cognitive Science, 5, 121–152. DOI: https://doi.org/10.1207/s15516709cog0502_2
• Lancaster, K., Moore, E., Parson, R. (2013) Insights from Using PhET’s Design Principles for Interactive Chemistry Simulations. Pedagogic Roles of Animations and Simulations in Chemistry Courses. ACS Symposium Series. American Chemical Society: Washington, DC, 97–126. DOI:10.1021/bk-2013-1142.ch005
• Kohl, P., Finkelstein, N. (2006) Effect of instructional environment on physics students’ representational skills. Physical Review Special Topics - Physics Education Research, 2, 010102. DOI:10.1103/PhysRevSTPER.2.010102
• Kelly, R., Jones, L. (2007) Exploring How Different Features of Animations of Sodium Chloride Dissolution Affect Students’ Explanations. Journal of Science Education and Technology, 16, 413–429. DOI:10.1007/s10956-007-9065-3
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Educological discourse
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Автори зберігають за собою всі авторські права та одночасно надають журналу право першої публікації на умовах лізенції Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License, що дозволяє розповсюджувати даний матеріал із зазначенням авторства та первинної публікації в даному журналі.