Leveraging Artificial Intelligence for Sustainable Development Goals: A Multidisciplinary Perspective

Authors

  • Miki Tesh Author
  • Elizabeth C. Pomeroy Author
  • Kathleen Hill Author

DOI:

https://doi.org/10.5281/zenodo.20151548

Keywords:

Motivation, learning, engineering, social work, analysis, MANOVA, research

Abstract

This study explored motivation for learning and its relationship to undergraduate majors in engineering and social work. Three motivation
measurement scales--the Basic Psychological Needs Scale (BPNS), the Achievement Goal Orientation Scale (AGOS), and the Situational
Motivation Scale (SIMS)--were used. Use of MANOVA generated motivational profiles for students from both majors. The 320 student
participants reported significant differences across various measures of learning motivation, with social work differing from engineering.
Understanding why students choose certain majors has implications for instructors, programs, and institutions in regard to optimizing
learning-teaching strategies, especially for those in increasingly interdisciplinary environments.

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Published

2026-01-25

How to Cite

Leveraging Artificial Intelligence for Sustainable Development Goals: A Multidisciplinary Perspective. (2026). Global Journal of Multidisciplinary Research, 1(1), 18-26. https://doi.org/10.5281/zenodo.20151548