Open Access
Issue
E3S Web Conf.
Volume 692, 2026
3rd International Conference on Intelligent and Sustainable Power and Energy Systems (ISPES 2025)
Article Number 03005
Number of page(s) 6
Section Artificial Intelligence and Human-Computer Interaction
DOI https://doi.org/10.1051/e3sconf/202669203005
Published online 04 February 2026
  1. H. Naps et al., Exploring the role of visualization and engagement in computer science education, ACM SIGCSE Bull. (ITiCSE) 35, 131–152 (2003). https://doi.org/10.1145/782941.782998. [Google Scholar]
  2. P. Guo, Online Python Tutor: embeddable web-based program visualization for CS education, ACM SIGCSE Bull. 45, 579–584 (2013). https://doi.org/10.1145/2445196.2445368. [Google Scholar]
  3. S. Halim, F. Halim, and S. Effendy, VisuAlgo: visualising data structures and algorithms through animation, Nanyang Technological University, Singapore (2017). [Google Scholar]
  4. R. E. Mayer, Multimedia learning: are we asking the right questions?, Educ. Psychol. 32, 1–19 (1997). https://doi.org/10.1207/s15326985ep3201_1. [Google Scholar]
  5. R. C. Clark and R. E. Mayer, e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning, 4th ed., John Wiley & Sons, pp. 67–89 (2016). https://doi.org/10.1002/9781119239086. [Google Scholar]
  6. Google Cloud, Google Cloud Text-to-Speech API, available at: https://cloud.google.com/text-to-speech(accessed 2023). [Google Scholar]
  7. M. Resnick et al., Scratch: programming for all, Commun. ACM 52, 60–67 (2009). https://doi.org/10.1145/1592761.1592779. [Google Scholar]
  8. S. Malik, Interactive visualization of algorithms, Int. J. Comput. Sci. Educ. 5, 91–105 (2015). [Google Scholar]
  9. F. Paas and J. Sweller, The cognitive load approach to instructional design, Educ. Psychol. 38, 1–10 (2003). https://doi.org/10.1207/S15326985EP3801. [Google Scholar]
  10. R. E. Mayer, Multimedia Learning, 2nd ed., Cambridge University Press (2009). https://doi.org/10.1017/CBO9780511816819. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.