Integrating AI Waste-Sorting Technology into Entrepreneurship Education: An Experimental Study on Student

Authors

  • Sharfina Puteri Amima Universitas Lambung Mangkurat
  • Rizky Mega Arini Universitas Lambung Mangkurat
  • Riyadatul Muthmainnah Politeknik Tanah Laut
  • Annisa Tri Hidhayati Politeknik Tanah Laut
  • Rizky Aldi Setianda Politeknik Tanah Laut
  • Monry Fraick Nicky Gillian Ratumbuysang Universitas Lambung Mangkurat

DOI:

https://doi.org/10.61987/jemr.v5i3.2332

Keywords:

Artificial Intelligence, Entrepreneurship Education, Circular Economy, Cognitive Literacy

Abstract

This study aims to evaluate the effectiveness of integrating AI-based waste-sorting technology into entrepreneurship education to enhance students’ cognitive literacy and entrepreneurial self-efficacy. The study employed a quantitative pre-experimental method using a One-Group Pretest–Posttest design involving 29 high school students. Data were collected through cognitive literacy tests, Likert-scale questionnaires, and observations of system performance. The findings indicate a substantial improvement in students’ cognitive literacy, with mean scores increasing from 38.62 in the pretest to 84.14 in the posttest, achieving an N-Gain score of 0.74 categorized as high. Students also demonstrated highly positive perceptions of the learning innovation, reflected in perceived usefulness (91.0%) and entrepreneurial interest (90.4%). Although the AI waste-sorting system achieved a classification accuracy of 63.8%, it effectively promoted students’ awareness of sustainable practices and encouraged entrepreneurial thinking related to environmental issues. The study implies that AI technology can function as a sociotechnical educational tool that transforms environmental challenges into innovation opportunities and supports the development of sustainability-oriented entrepreneurial competencies among students.

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Published

2026-05-18

How to Cite

Amima, S. P., Arini, R. M., Muthmainnah, R., Hidhayati, A. T., Setianda, R. A., & Ratumbuysang, M. F. N. G. (2026). Integrating AI Waste-Sorting Technology into Entrepreneurship Education: An Experimental Study on Student. Journal of Educational Management Research, 5(3), 3288–3299. https://doi.org/10.61987/jemr.v5i3.2332

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