Exploring The Integration Of Universal Human Values In Arts And Science Education: Perceptions, Predictive Analysis, And Pathways To Uhv-Stem Using Clustering
DOI:
https://doi.org/10.63278/mme.vi.1590Keywords:
Universal Human Values, STEM, UHV-STEM, Clustering Algorithm, Educational Data Mining.Abstract
One of the key educational trends of the modern era is the emphasis on Science, Technology, Engineering, Mathematics (STEM) education. STEM concepts are used in almost every educational institution, creating the impression that STEM education is promoted globally. At the one end STEM education model enhancing across the world, another side agitation among students is also enhancing. Therefore, this seems that STEM movement, only cannot, lead harmony in Human being. In this paper UHV-STEM model has been proposed and research has been validated using real data set collected by teaching Universal Human Values (UHV) to students and teachers of different discipline, and outcome has been analyzed by applying various clustering algorithms used for identifying pattern for course, subject, program selection by art and science students as well teachers. Two aspects of students' performance have been focused upon course selection specifically related to adoption of education model as UHV-STEM or UHV-STEAM. Combinations of the progression and cluster-based classification results are formulated using various identified clustering Algorithms.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2025 Dheeraj Kumar Singh, Narender Kumar

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their published articles online (e.g., in institutional repositories or on their website, social networks like ResearchGate or Academia), as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Except where otherwise noted, the content on this site is licensed under a Creative Commons Attribution 4.0 International License.



According to the