ABSTRACT
This study aimed to enhance the integration of digital technology in a higher education course in Indonesia. Specifically, the implementation of the Avogadro software was originally designed to enhance students’ conceptual understanding. The participants consisted of 40 students from the Chemistry Education Department and 30 students from the Chemistry Department at a university in Bandung, Indonesia. This is an experimental study with a pre-experimental type. To assess students' conceptual understanding, pre-test and post-test were conducted, and the data were analyzed using SPSS 24. The results showed that there was a significant improvement in conceptual understanding of students of the Chemistry Education Department with a high category increase indicated by an n-gain value of 0.74. For the Chemistry Department, the improvement was in the medium category with n-gain values of 0.66. The results of inferential analysis using the Wilcoxon Test with Asymp. Sig. (2-tailed) were <0.05 and showed that the pre-test and post-test scores differed significantly for both groups of students, with a higher average score in the post-test. The interactive nature of Avogadro software facilitated students' knowledge construction and made the course topic more meaningful, thereby stimulating their conceptual understanding.
- W. W. M. So, Y. Chen, and Z. H. Wan, “Multimedia e-Learning and Self-Regulated Science Learning: a Study of Primary School Learners’ Experiences and Perceptions,” J. Sci. Educ. Technol., vol. 28, no. 5, pp. 508–522, 2019, doi: 10.1007/s10956-019-09782-y.Google ScholarCross Ref
- S. Schwedler and M. Kaldewey, “Linking the submicroscopic and symbolic level in physical chemistry: How voluntary simulation-based learning activities foster first-year university students’ conceptual understanding,” Chem. Educ. Res. Pract., vol. 21, no. 4, pp. 1132–1147, 2020, doi: 10.1039/c9rp00211a.Google ScholarCross Ref
- K. E. Amaral, J. D. Shank, I. A. Shibley, and L. R. Shibley, “Web-enhanced general chemistry increases student completion rates, success, and satisfaction,” J. Chem. Educ., vol. 90, no. 3, pp. 296–302, 2013, doi: 10.1021/ed200580q.Google ScholarCross Ref
- M. A. Camilleri and A. C. Camilleri, “Remote learning via video conferencing technologies: Implications for research and practice,” Technol. Soc., vol. 68, 2022, doi: 10.1016/j.techsoc.2022.101881.Google ScholarCross Ref
- C. Jeongho, K. Su-Yin, and C. P. Wai, “Uncritical inference test in developing basic knowledge and understanding in the learning of organic spectroscopy,” Pertanika J. Soc. Sci. Humanit., vol. 25, no. 4, pp. 1789–1802, 2017.Google Scholar
- M. So¨zbilir, “What Makes Physical Chemistry Difficult? Perceptions of Turkish Chemistry Undergraduates and Lecturers,” J. Chem. Educ., vol. 81, no. 4, 2004.Google ScholarCross Ref
- S. C. Chen, M. S. Hsiao, and H. C. She, “The effects of static versus dynamic 3D representations on 10th grade students’ atomic orbital mental model construction: Evidence from eye movement behaviors,” Comput. Human Behav., vol. 53, pp. 169–180, 2015, doi: 10.1016/j.chb.2015.07.003.Google ScholarDigital Library
- F. Torun, “The effect of a textbook preparation process supported by instructional technology tools on the tpack self confidence levels of prospective social studies teachers,” Rev. Int. Geogr. Educ. Online, vol. 10, no. 2, pp. 115–140, 2020, doi: 10.33403/rigeo.691943.Google ScholarCross Ref
- J. R. Vandenplas, D. G. Herrington, A. D. Shrode, and R. D. Sweeder, “Use of Simulations and Screencasts to Increase Student Understanding of Energy Concepts in Bonding,” J. Chem. Educ., vol. 98, no. 3, pp. 730–744, 2021, doi: 10.1021/acs.jchemed.0c00470.Google ScholarCross Ref
- B. D. Homer and J. L. Plass, “Level of interactivity and executive functions as predictors of learning in computer-based chemistry simulations,” Comput. Human Behav., vol. 36, pp. 365–375, 2014, doi: 10.1016/j.chb.2014.03.041.Google ScholarDigital Library
- N. Hayati, “Kemampuan Technological Pedagogical Content Knowledge (TPACK) dan Penguasaan Konsep Mahasiswa Melalui Perkuliahan Kimia Organik Polifungsi Menggunakan Model Pembelajaran RADEC,” Universitas Pendidikan Indonesia, 2023.Google Scholar
- M. D. Hanwell, E. Curtis, Donald, D. C. Lonie, T. Vandermeersch, E. Zurek, and G. R. Htchison, “Avogadro: An Advanced Semantic Chemical Editor, Visualization, and Analysis Platform,” J. Cheminform., vol. 4, no. 17, 2012.Google Scholar
- R. V. Listyarini, “Implementation of Molecular Visualization Program for Chemistry Learning,” Prism. Sains J. Pengkaj. Ilmu dan Pembelajaran Mat. dan IPA IKIP Mataram, vol. 9, no. 1, p. 64, 2021, doi: 10.33394/j-ps.v9i1.3941.Google ScholarCross Ref
- B. Rayan and A. Rayan, “Avogadro Program for Chemistry Education: To What Extent can Molecular Visualization and Three-dimensional Simulations Enhance Meaningful Chemistry Learning?,” World J. Chem. Educ., vol. 5, no. 4, pp. 136–141, 2017, doi: 10.12691/wjce-5-4-4.Google ScholarCross Ref
- J. W. Creswell and J. D. Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approach Fifth Edition. Los Angeles: SAGE Publications, Inc., 2018.Google Scholar
- J. R. Fraenkel, N. E. Wallen, and H. H. Hyun, How to Design and Evaluate Research in Education. New York: The McGraw-Hill Companies, Inc, 2012.Google Scholar
- R. Hake, Analyzing Change/Gain Scores. USA: Indiana University, 1998.Google Scholar
- F. Neese, “The ORCA Program System,” Wiley Interdiscip. Rev. Comput. Mol. Sci., vol. 2, pp. 73–78, 2012.Google ScholarCross Ref
- R. . Ward, Bifunctional Compound. USA: Oxford University Press, 1994.Google ScholarCross Ref
- L. L. Parker and G. M. Loudon, “Case study using online homework in undergraduate organic chemistry: Results and student attitudes,” J. Chem. Educ., vol. 90, no. 1, pp. 37–44, 2013, doi: 10.1021/ed300270t.Google ScholarCross Ref
- H. Lee, J. L. Plass, and B. D. Homer, “Optimizing cognitive load for learning from computer-based science simulations,” J. Educ. Psychol., vol. 98, no. 4, pp. 902–913, 2006, doi: 10.1037/0022-0663.98.4.902.Google ScholarCross Ref
- R. E. Mayer and R. Moreno, “Aids to computer-based multimedia learning,” Learn. Instr., vol. 12, pp. 107–119, 2002.Google ScholarCross Ref
- N. S. Shemy, “Digital Infographics Design (Static vs Dynamic): Its Effects on Developing Thinking and Cognitive Load Reduction,” Int. J. Learn. Teach. Educ. Res., vol. 21, no. 5, pp. 104–125, 2022, doi: 10.26803/ijlter.21.5.6.Google ScholarCross Ref
- M. Setyarini, Liliasari, A. Kadarohman, and M. A. Martoprawiro, “Profile of Students’ Comprehension of 3D Molecule Representation and Its Interconversion on Chirality,” 2016.Google Scholar
- J. C. Moore, “Efficacy of multimedia learning modules as preparation for lecture-based tutorials in electromagnetism,” Educ. Sci., vol. 8, no. 1, 2018, doi: 10.3390/educsci8010023.Google ScholarCross Ref
- J. M. Santos and R. D. R. Castro, “Technological Pedagogical content knowledge (TPACK) in action: Application of learning in the classroom by pre-service teachers (PST),” Soc. Sci. Humanit. Open, vol. 3, no. 1, 2021, doi: https://doi.org/10.1016/j.ssaho.2021.100110.Google ScholarCross Ref
- P. Nuangchalerm, “TPACK in Asean perspectives: Case study on Thai Pre-service Teacher,” Int. J. Eval. Res. Educ., vol. 9, no. 4, pp. 993–999, 2020, doi: 10.11591/ijere.v9i4.20700.Google ScholarCross Ref
- W. Sopandi , Model Pembelajaran RADEC: Teori dan Implementasi di Sekolah. Bandung: UPI Press, 2021.Google Scholar
- R. R. Sukardi, W. Sopandi, and Riandi, “Fundamental chemistry concepts on environmental pollution: Experts validation of pre-learning questions,” Moroccan J. Chem., vol. 9, no. 2, pp. 312–320, 2021, doi: 10.48317/IMIST.PRSM/morjchem-v9i2.27583.Google ScholarCross Ref
- R. A. Rasheed, A. Kamsin, and N. A. Abdullah, “Challenges in the online component of blended learning: A systematic review,” Comput. Educ., vol. 144, no. September 2019, p. 103701, 2020, doi: 10.1016/j.compedu.2019.103701.Google ScholarDigital Library
- A. R. M. Warfa, J. Nyachwaya, and G. Roehrig, “The influences of group dialog on individual student understanding of science concepts,” Int. J. STEM Educ., vol. 5, no. 1, 2018, doi: 10.1186/s40594-018-0142-3.Google ScholarCross Ref
- Nopriyeni, Z. K. Prasetyo, and Djukr, “The implementation of mentoring based learning to improve pedagogical knowledge of prospective teachers,” Int. J. Instr., vol. 12, no. 3, pp. 529–540, 2019, doi: 10.29333/iji.2019.12332a.Google ScholarCross Ref
- N. Murray and T. McConachy, “‘Participation’ in the internationalized higher education classroom: An academic staff perspective,” J. Int. Intercult. Commun., vol. 11, no. 3, pp. 254–270, 2018, doi: 10.1080/17513057.2018.1459789.Google ScholarCross Ref
- R. Khatoon and E. Jones, “Flipped small group classes and peer marking: incentives, student participation and performance in a quasi-experimental approach,” Assess. Eval. High. Educ., vol. 47, no. 6, pp. 910–927, 2022, doi: 10.1080/02602938.2021.1981823.Google ScholarCross Ref
- M. A. Camilleri and A. C. Camilleri, “Learning from Anywhere, Anytime: Utilitarian Motivations and Facilitating Conditions for Mobile Learning,” Technol. Knowl. Learn., 2022, doi: 10.1007/s10758-022-09608-8.Google ScholarCross Ref
Index Terms
- Enhancing Integration of Digital Technology in Higher Education: The Impact of Avogadro Software on Conceptual Understanding in Organic Chemistry Courses in Indonesia
Recommendations
Effects of concept-based instruction on students' conceptual understanding and procedural knowledge of calculus
An original study, involving 305 college-level calculus students and 8 instructors, and its replication study, conducted at the same university and involving 303 college-level calculus students and 8 instructors, investigated the effects of ...
Project-based learning (PBL) through the incorporation of digital technologies
In this article, we highlight the opinions given by teachers at different schools in Spain with regard to project-based learning (PBL). The teachers in question have been involved in various projects that incorporate digital technologies. Our data ...
Lower and upper primary learners’ difference in performance and conceptual understanding: Support of interactive mathematics software for Rwanda
AbstractThe use of technology to enhance classroom practices draws attention from numerous educational systems and scientific studies. Rwanda's educational system prioritized ICT-integrated instructions in primary schools in order to enhance the ...
Comments