Articles | Open Access |

ACTIVE LEARNING STRATEGIES IN TECHNICAL HIGHER EDUCATION: THE CASE OF TRANSPORT SYSTEMS

Tolb B. I. , Young Scientist in the Field of Technical Sciences, actively engaged in research on transport technology

Abstract

This study explores the integration of pedagogical innovations into the teaching and learning process of urban transport systems and their operation. With the growing demand for skilled professionals in the field of transportation engineering and management, the need for effective teaching methods that combine theoretical knowledge with practical skills is increasingly significant. The research aims to analyze the effectiveness of active learning strategies, digital simulations, and interdisciplinary approaches in transport education. A mixed-method research design was used, combining literature review, classroom observation, and student surveys. The results show that the use of problem-based learning, digital modeling tools, and case studies enhances students’ professional competence, critical thinking, and readiness for real-world challenges. The findings provide insights into how pedagogy can be adapted to meet the specific needs of technical disciplines and contribute to the modernization of higher education curricula.

Keywords

transport education, pedagogy, urban transport systems, active learning, technical training

References

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Kolb, D. A. Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall, 2014.

Mayer, R. E. Learning and Instruction. Pearson, 2019.

Salimova, N., & Karimov, B. “Innovative Teaching Approaches in Transport Engineering Education.” Journal of Technical Education Research, 2022.

Schön, D. The Reflective Practitioner: How Professionals Think in Action. Routledge, 2016.

UNESCO. Engineering Education for Sustainable Development. Paris: UNESCO Publishing, 2021.

Yilmaz, H. “Problem-Based Learning in Engineering Education: A Case Study.” International Journal of Pedagogical Innovation, 2020.

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ACTIVE LEARNING STRATEGIES IN TECHNICAL HIGHER EDUCATION: THE CASE OF TRANSPORT SYSTEMS. (2026). International Journal of Artificial Intelligence, 6(01), 1844-1848. https://www.academicpublishers.org/journals/index.php/ijai/article/view/10346