Problem-Based E-Learning to Increase Motivation of STEM-Students

Gamification of a Startup Enterprise

Authors

  • Patricia Brockmann Computer Science Department, Nuremberg Institute of Technology, Germany
  • Heidi Schuhbauer Computer Science Department, Nuremberg Institute of Technology, Germany
  • Margo Bienert Business Faculty, Nuremberg Institute of Technology, Germany

DOI:

https://doi.org/10.33422/teduconf.v1i1.746

Keywords:

E-Learning, Gamification, STEM, Problem-Based Learning, Used-Case Learning

Abstract

First semester students often face major challenges in adjusting to university studies. Inexperienced students may not appreciate the practical relevance of abstract, theoretical concepts taught using traditional, instructor-centered lectures. Furthermore, the rise of
generative artificial intelligence (GenAI) can mislead some to believe they no longer need to exert effort to learn academic skills.
To encourage students to engage in learning material and thus improve retention rates, two complementary teaching methods were integrated into a large, introductory course for first semester STEM students: Problem-Based Learning (PBL) and gamification. Problem-Based Learning was implemented to make the subject matter more meaningful by simulating a real world experience: How to start up a small business. This entrepreneurship task was simulated in an online game, to increase student motivation.
Quantitative questionnaires of student motivation and experiences with e-learning were evaluated. Based on input obtained in expert interviews, a fictitious startup enterprise was designed to serve as the used case. An online e-learning game was developed, which
leveraged gamification elements to try to increase motivation. Each phase of the startup process was represented as one level of the e-learning game. The e-learning game was tested by a group of first semester students. Their opinions were collected using an anonymous online survey. Aggregated results of the survey are discussed and plans for further research are presented.

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Published

2025-04-08