i-manager Publications

The Role of Educational Software in Chemistry: Teaching a Case Study on Interactive Learning

Ehboklang Lamina Diengngan*

Department of Chemistry, Don Bosco College, Tura, Meghalaya, India.

Periodicity:September - December'2024
DOI : https://doi.org/10.26634/jchem.14.3.21775

Abstract

The integration of educational software in chemistry teaching has revolutionized learning by enhancing student engagement and conceptual understanding. This study examines the impact of interactive computational tools, such as Mathematica and other educational software, on chemistry education. A comparative analysis between traditional teaching methods and software-supported learning reveals significant improvements in student performance, engagement, and knowledge retention. The study highlights the potential of interactive tools in modernizing chemistry education and suggests strategies for effective implementation in academic settings.

Keywords

Educational Software, Chemistry Teaching, Interactive Learning, Computational Tools, Mathematica, Digital Learning, Science Education, Student Engagement.

How to Cite this Article?

Diengngan, E. L. (2024). The Role of Educational Software in Chemistry: Teaching a Case Study on Interactive Learning. i-manager’s Journal on Chemical Sciences, 4(3), 32-42. https://doi.org/10.26634/jchem.14.3.21775

References

[1]. Achuthan, K., Kolil, V. K., Muthupalani, S., & Raman, R. (2024). Transactional distance theory in distance learning: Past, current, and future research trends. Contemporary Educational Technology, 16(1), ep493.

[2]. Alomari, M. A., & Jabr, M. O. (2020). The effect of the use of an educational software based on the strategy of artificial intelligence on students' achievement and their attitudes. Management Science Letters, 10(15), 3453–3460.

[3]. Banerjee, S., Chowdhury, A., & Yein, N. (2023). User experience evaluation of a virtual reality tool used for 3D modeling in industrial design education. Designs, 7(5), Article 105.

[4]. Bewota, H. B., Bazie, H., Lemma, B., & Wasyhun, A. (2024). Study on the effect of virtual laboratories on undergraduate chemistr y students' academic performance. SSRN Electronic Journal.

[5]. Cahill, S. T., Bergstrom Mann, P. E., & Worrall, A. F. (2020). Remote teaching of programming in Mathematica: Lessons learned. Journal of Chemical Education, 97(9), 2540–2546.

[6]. Conceição, A. C. (2021). Dynamic and interactive tools to support teaching and learning. Mathematical and Computational Applications, 27(1), Article 1.

[7]. Febliza, A., Afdal, Z., & Copriady, J. (2023). Improving students' critical thinking skills: Is interactive video and interactive web module beneficial? International Journal of Educational Research, 112, 101933.

[8]. Gordillo, A., López-Fernández, D., & López-Pernas, S. (2020). Evaluating an educational escape room conducted remotely for teaching software engineering. IEEE Global Engineering Education Conference (EDUCON) (pp. 1101–1108).

[9]. Haryadi, R., & Pujiastuti, H. (2020). PhET simulation software-based learning to improve science process skills. Journal of Physics: Conference Series, 1521, 022017.

[10]. Hoai, V. T. T., Son, P. N., & An, D. T. T. (2024). An investigation into whether applying augmented reality in teaching chemistry enhances cognitive ability. International Journal of Learning, Teaching and Educational Research, 23(4), 123–138.

[11]. Huang, J. (2020). Successes and challenges: Online teaching and learning of chemistry in higher education in China in the time of COVID-19. Journal of Chemical Education, 97(8), 2231–2235.

[12]. Jones, O. A. H., Stevenson, P. G., Hameka, S. C., & Osborne, D. A. (2021). Using 3D printing to visualize 2D chromatograms and NMR spectra for the classroom. Journal of Chemical Education, 98(4), 867–874.

[13]. Kolil, V. K., & Achuthan, K. (2024). Virtual labs in chemistry education: A novel approach for increasing students' laboratory educational consciousness and skills. Education and Information Technologies, 29(2), 1234–1250.

[14]. Körtesi, P., Simonka, Z., Szabó, Z. K., & Gunčaga, J. (2022). The wise use of computer tools for the sustainability of knowledge and developing active and innovative methods in STEM and mathematics education. Sustainability, 14(20), 12991.

[15]. Krassmann, A. L., & Reategui, E. (2022). A systematic review of augmented reality in chemistry education. Review of Educational Research, 92(3), 456–478.

[16]. Lehtola, S., & Karttunen, A. J. (2022). Free and open- source software for computational chemistry education. Wiley Interdisciplinary Reviews: Computational Molecular Science, 12(3), e1610.

[17]. Lu, Y., & Saihong, P. (2023). Comparison of learning achievement in chemistry between traditional and AI- based learning. Educational Research and Reviews, 18(5), 123–130.

[18]. Lytvynova, S., & Medvedieva, M. (2020, October). Educational computer modelling in natural sciences education: Chemistry and biology aspects. In ICTERI Workshops (pp. 532-546).

[19]. McDonald, A. R., Roberts, R., & Koeppe, J. R. (2022). Undergraduate structural biology education: A shift from users to developers of computation and simulation tools. Current Opinion in Structural Biology, 72, 112–124.

[20]. Muliadi, D. (2024). The moderation effect of organizational culture on employee performance based on information technology and training. Performance, 6 (01), 168-179.

[21]. Nechypurenko, P., & Selivanova, T. (2022). Using virtual chemical laboratories in teaching the solution of experimental problems in chemistry. In Educational Technology: Challenges and Applications (pp. 336–350). Springer.

[22]. Oladejo, A. I., Akinola, V. O., & Nwaboku, N. C. (2021). Teaching chemistry with computer simulation: Would senior school students perform better. Crawford Journal of Multidisciplinary Research, 2(2), 16-32.

[23]. Rodgers, T. L., Bolton, P., & van der Gryp, P. (2023). An interactive graph resource for chemical engineering teaching. Education for Chemical Engineers, 43(1), 35–47.

[24]. Schmidt, J. R. (2022). WebMO: Web based computational chemistry calculations in education and research. Wiley Interdisciplinary Reviews: Computational Molecular Science, 12(6), e1554.

[25]. Sreekanth, G. R., Latha, R. S., Roja, R., Sankarnanth, S., & Gayathri, A. (2024, March). Detection of corn leaf infection using CNN with various optimizers. In 2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) (pp. 1-7). IEEE.

[26]. Sypsas, A., & Kalles, D. (2023). Analysis, evaluation and reusability of virtual laboratory software based on conceptual modeling and conformance checking. Mathematics, 11(9), 2153.

[27]. Tigaa, R. A., & Sonawane, S. L. (2020). An international perspective: Teaching chemistry and engaging students during the COVID-19 pandemic. Journal of Chemical Education, 97(9), 3318-3321.

The Role of Educational Software in Chemistry: Teaching a Case Study on Interactive Learning

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	15	15	200	15
Pdf & Online	35	35	400	25