LEARNING BASIC ECONOMIC SUBJECT BY USING GRAPHIC INTERACTIVE METHOD

Authors: Nurrul Azmi Mohd Hattar & Prof Dr Mustaffa Halabi Azahari

ABSTRACT

In the era of information technology that moves so fast, it affects people’s lives a lot. The use of ICT in various sectors cannot be denied anymore. The education sector is also no exception where a combination of ICT and interactive graphics are used in teaching and learning sessions. Almost all parties involved in education use it including teachers and students. It becomes a teaching aid that provides many benefits to all parties. This systematic literature review explores the significance of integrating graphic interactive methods into basic economic education. Through an analysis of studies retrieved from the Mendeley database, key findings reveal the positive impact of these methods on learning outcomes, including increased student engagement and improved conceptual understanding. Student and instructor perspectives emphasize heightened motivation and satisfaction, while comparative analyses consistently demonstrate the superiority of graphic interactive methods over traditional approaches. Recommendations for educators include embracing variety, providing training, and fostering a student-centered approach, while curriculum developers are urged to align tools with learning objectives and consider cultural relevance. Overall, this research underscores the transformative potential of graphic interactive methods in enhancing economic education and preparing students for the complexities of the modern world.

Keywords: Information and Communication Technology, Graphic Interactive & Learning Economic Subjects

REFERENCES

  • Akolzina, M. K. (2023). Preparation of educational and methodological materials in local history for general education organizations by students of pedagogical specialties. Psychological-Pedagogical Journal GAUDEAMUS, . https://doi.org/10.20310/1810-231x-2023-22-2-93-100
  • Daniel A, & Suleiman, I.A. (2023). Enhancing pupil engagement and learning through augmented reality-based interactive phonetics education. World Journal of Advanced Engineering Technology and Sciences, 9(1). https://doi.org/10.30574/wjaets.2023.9.1.0131
  • Erratum to: Artificial Intelligence for Higher Education Development and Teaching Skills (Wireless Communications and Mobile Computing (2022) 2022 (7614337) DOI: 10.1155/2022/7614337). (2023). In Wireless Communications and Mobile Computing (Vol. 2023). Hindawi Limited. https://doi.org/10.1155/2023/9769121
  • Ferizat, M., & Kuat, B. (2021). The effectiveness of interactive teaching methods in the professional training of pre-service geography teachers. Cypriot Journal of Educational Sciences, 16(4), 1976–1996. https://doi.org/10.18844/cjes.v16i4.6066
  • Hayta, N., Karabağ, Ş. G., & Gövercin, A. (2023). Augmented reality in 9th grade history: Student opinions on the usefulness and effectiveness of the material. Journal of Human Sciences, 20(3). https://doi.org/10.14687/jhs.v20i3.6370
  • He, B., Tong, X., Tang, M., & Wang, L. (2023). Research and Systematic Implementation of Interactive Configuration Method Based on SSD Primitive Extension Model. 2023 5th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2023. https://doi.org/10.1109/ICMSP58539.2023.10171104
  • Hrytsenko, L., & Gorinchoi, R. (2023). Cross-pedagogy As an Effective Tool for Forming the Graphic Culture of Students In 8–9 Grades In Technology Class. The Scientific Issues Of Ternopil VolodymyrHnatiuk National Pedagogical University. Series: Pedagogy, 1(1). https://doi.org/10.25128/2415-3605.23.1.31
  • Hwang, G. J., Chen, H. C., Hsu, C. Y., & Hwang, G. H. (2023). Effects of a graphic organizer-based two-tier test approach on students’ learning achievement and behaviors in spherical video-based virtual learning contexts. Computers and Education, 198. https://doi.org/10.1016/j.compedu.2023.104757
  • Knodt, J., Pan, Z., Wu, K., & Gao, X. (2024). Joint UV Optimization and Texture Baking. ACM Transactions on Graphics, 43(1). https://doi.org/10.1145/3617683
  • Li, J., Shao, J., Wang, W., & Xie, W. (2023). An evolutional deep learning method based on multi-feature fusion for fault diagnosis in sucker rod pumping system. Alexandria Engineering Journal, 66. https://doi.org/10.1016/j.aej.2022.11.028
  • Liu, H., Dai, H., Chen, J., Xu, J., Tao, Y., & Lin, H. (2023). Interactive similar patient retrieval for visual summary of patient outcomes. Journal of Visualization, 26(3). https://doi.org/10.1007/s12650-022-00898-9
  • MaćKowski, M., Brzoza, P., Kawulok, M., Meisel, R., & Spinczyk, D. (2023). Multimodal Presentation of Interactive Audio-Tactile Graphics Supporting the Perception of Visual Information by Blind People. ACM Transactions on Multimedia Computing, Communications and Applications, 19(5 s). https://doi.org/10.1145/3586076
  • Malbos, E., Borwell, B., Einig-Iscain, M., Korchia, T., Cantalupi, R., Boyer, L., & Lancon, C. (2023). Virtual reality cue exposure therapy for tobacco relapse prevention: a comparative study with standard intervention. Psychological Medicine, 53(11). https://doi.org/10.1017/S0033291722002070
  • Mayasari, M. (2021). Pengembangan Pembelajaran Daring Melalui Media Interaktif Simulasi Elektronik (MISE) pada Mata Kuliah Ekonomi Makro. Jurnal Ilmiah Universitas Batanghari Jambi, 21(3), 1404. https://doi.org/10.33087/jiubj.v21i3.1762
  • Rosnah, R., P Petrus, Fonnie E. Hasan, Teguh Faturrahman, Rita Irma, Evi Kusumawati, & I Made Rai Sudarsono. (2023). The Advanced Dietetics Module Development in Improving the Nutrition Diploma III Students’ Learning Outcomes of Kendari Health Polytechnic of the Ministry of Health. Athena: Journal of Social, Culture and Society, 1(2). https://doi.org/10.58905/athena.v1i2.30
  • Shi, M., Zhuo, X., Mao, T., Zhu, D., & Shao, X. (2023). Automatic temporal clothing deformation prediction: applicable to variable shape and motion. Textile Research Journal, 93(21–22). https://doi.org/10.1177/00405175231178049
  • Silva, D., Voltoline, R., & Wu, S. T. (2023). An interactive triangle-based ODF glyph rendering for high angular resolution diffusion imaging. Computers and Graphics (Pergamon), 116. https://doi.org/10.1016/j.cag.2023.08.027
  • Skulmowski, A., & Xu, K. M. (2022). Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load. In Educational Psychology Review (Vol. 34, Issue 1, pp. 171–196). Springer. https://doi.org/10.1007/s10648-021-09624-7
  • Sun, Y., & Ke, L. (2023). Virtual Reality-Based Interactive Visual Communication Media Design and User Experience. Computer-Aided Design and Applications, 20(S13). https://doi.org/10.14733/cadaps.2023.S13.209-221
  • Wang, J., Xiang, N., Kukreja, N., Yu, L., & Liang, H. N. (2023). LVDIF: a framework for real-time interaction with large volume data. Visual Computer, 39(8). https://doi.org/10.1007/s00371-023-02976-x
  • Zheng, J. (2023). Research on Energy Saving Control of 3D Animation Rendering Cluster Based on Programmable Processor. 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023. https://doi.org/10.1109/ICCECT57938.2023.10141163