Open Access
Issue
E3S Web Conf.
Volume 645, 2025
The 1st International Conference on Green Engineering for Sustainable Future (ICoGESF 2025)
Article Number 06009
Number of page(s) 12
Section Educational Sciences
DOI https://doi.org/10.1051/e3sconf/202564506009
Published online 28 August 2025
  1. Nabizadeh, A. H., Leal, J. P., Rafsanjani, H. N. & Shah, R. R. Learning path personalization and recommendation methods: A survey of the state-of-the-art. Expert Syst Appl 159, 113596. [Google Scholar]
  2. Rogowsky, B. A., Calhoun, B. M. & Tallal, P. Matching learning style to instructional method: Effects on comprehension. J Educ Psychol 107, 64-78. [Google Scholar]
  3. Rinjeni, T. P., Rakhmawati, N. A. & Nadlifatin, R. Design of Academic Gamification Model Based on Myers-Briggs Type Indicator (MBTI) through PreExperimental Design. Journal of Information Technology Education: Research 23, 1-32. [Google Scholar]
  4. Liu, Z., Kang, L., Su, Z., Liu, S. & Sun, J. Investigate the relationship between learners’ social characteristics and academic achievements. J Phys Conf Ser 1113,. [Google Scholar]
  5. Gu, X. & Xu, H. Missing Piece in Understanding Student Learning: Out-of-School Computer Use. Journal of Educational Computing Research 57, 320-342. [Google Scholar]
  6. Pamungkas, A. A. P., Maryono, D. & Budiyanto, C. W. Cluster Analysis for Student Grouping Based on Index of Learning Styles. IOP Conf Ser Earth Environ Sci 1808,. [Google Scholar]
  7. Sterling, S. Sustainable Education. (2001). [Google Scholar]
  8. Balasubramanian, V. & Margret Anouncia, S. Learning style detection based on cognitive skills to support adaptive learning environment - A reinforcement approach. Ain Shams Engineering Journal 9, 895-907 (2018). [Google Scholar]
  9. Yotta, E. G. Accommodating students’ learning styles differences in English language classroom. Heliyon 9, (2023). [Google Scholar]
  10. Savitz-Romer, M., Rowan-Kenyon, H. T. & Fancsali, C. Social, Emotional, and Affective Skills for College and Career Success. Change: The Magazine of Higher Learning 47, 18-27 (2015). [Google Scholar]
  11. Ratka, A. Empathy and the development of affective skills. Am J Pharm Educ 82, 1140-1143 (2018). [Google Scholar]
  12. Gan, G. & Ng, M. K. P. K-Means Clustering With Outlier Removal. Pattern Recognit Lett 90, 8-14 (2017). [Google Scholar]
  13. Shi, C. et al. A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. EURASIP J Wirel Commun Netw 2021, (2021). [Google Scholar]
  14. Ashari, I. F., Dwi Nugroho, E., Baraku, R., Novri Yanda, I. & Liwardana, R. Analysis of Elbow, Silhouette, Davies-Bouldin, Calinski-Harabasz, and Rand-Index Evaluation on K-Means Algorithm for Classifying Flood-Affected Areas in Jakarta. Journal of Applied Informatics and Computing 7, 89-97 (2023). [Google Scholar]
  15. UNESCO. Education for Sustainable Development: A Roadmap. (UNESCO, 2020). DOI: 10.54675/YFRE1448. [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.