References
1. Africa, A. D. M., Dim, F. R. C., & Fernan, S. M. L. (2020). Development of analysis methods in operating systems. Proceedings of [Conference Name]. 2. Alhadad, S. (2018). Enhancing learning through visualization techniques. Journal of Educational Technology, 15(2), 45–60. 3. Alfred, R., & Kraemer, J. (2017). Cognitive perspectives in educational visualization. Cognitive Science Journal, 12(1), 101–118. 4. Cassenti, D., et al. (2019). Visualizing complex sentiment data in decision-making. International Journal of Data Visualization, 7(3), 67–82. 5. Correll, M., & Gleicher, M. (2014). Designing effective visualizations for behavioral impact. IEEE Transactions on Visualization and Computer Graphics, 20(12), 2171–2180. 6. Eppler, M., & Aeschimann, M. (2009). Visual metaphors in knowledge communication. Journal of Knowledge Management, 13(4), 1–17. 7. Gooding, D. (2006). Visual reasoning in science and business. Visual Studies, 21(2), 89–104. 8. Hutchinson, A., et al. (2010). Visualization in marketing and strategic management. Journal of Business Research, 63(5), 456–464. 9. Padilla, J., et al. (2018). Principles of effective information visualization. Information Design Journal, 24(1), 33–50. 10. Perdana, R., et al. (2018). Speed and comprehension in graphical data interpretation. Journal of Educational Research, 61(3), 77–89. 11. Smerecnik, K., et al. (2010). Visualized risk data and cognitive load in decision-making. Risk Analysis Journal, 30(4), 589–602. 12. Suwa, M., & Tversky, B. (2002). Visualizing processes for learning. Cognitive Psychology, 45(3), 224–265. 13. Tang, C., et al. (2014). Visualization in management and education. Journal of Management Studies, 51(2), 120–138. 14. Wang, X., et al. (2017). Understanding complex concepts through visualization. Journal of Learning Analytics, 4(1), 15–30. 15. Yildiz, M., & Boehme, R. (2017). Qualitative diagrams in educational visualization. International Journal of Visual Education, 10(2), 77–91. 16. Buck, J. W., & Perugini, S. (2019). An interactive, graphical CPU scheduling simulator for teaching operating systems. Journal of Computing Sciences in Colleges, 35(5), 78–90. 17. Giraldeau, L., Dagenais, M., & Boucheneb, H. (2014). Visualizing operating system behavior for analysis and learning. Conference Proceedings of Computer Science Education, 1–10. 18. Ibrahim, A. F., & Yussri, M. H. (2020). OS-Learn: Mobile learning application for operating system with augmented reality. Journal of Computing Research in Innovative Networks, 5(3). https://doi.org/10.24191/jcrinn.v5i3.154. 19. Mustafa, B., et al. (2011). Visualizing the modern operating system: Simulation experiments supporting enhanced learning. Conference Contribution to Computer Science Education. 20. Robinson, P., & Walker, J. (2023). Modern visualized simulation tool for interactive exploration of OS processes using Java multithreading. International Journal of Computer Science Education, 12(2), 45–60. 21. Wadmare, J., Kolte, D., Bhatia, K., Desai, P., & Wadmare, G. (2024). Virtual simulations tool for operating systems: Advancing e-learning in computing education. Journal of Information Technology Education: Innovations in Practice, 23, 018. https://doi.org/10.28945/5404. IJCSMT 22. Wang, X., et al. (2025). Visual teaching system based on cognitive graph structures for operating system education. Journal of Educational Technology in Computing, 31(1), 12– 29.