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Frontiers in Educational Research, 2025, 8(1); doi: 10.25236/FER.2025.080103.

Enhancing Sensor Principles Education with Artificial Intelligence: Curriculum Integration and Pedagogical Innovations

Author(s)

Meiling Ma

Corresponding Author:
Meiling Ma
Affiliation(s)

Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Abstract

This paper examines the integration of artificial intelligence (AI) within the sensor principles curriculum and its implications for teaching methodologies in electrical engineering education. The study underscores the significance of aligning academic instruction with industry demands, focusing on the enhancement of theoretical knowledge and practical skills in sensor technology. It delineates the objectives of updating teaching models, enriching curriculum content, and reforming pedagogical approaches to foster students' innovative abilities and problem-solving skills. The paper presents a systematic approach to AI integration, detailing the design and implementation of teaching objectives for undergraduate electrical engineering programs. Emphasizing the importance of hands-on learning and interdisciplinary knowledge, the course aims to prepare students for the challenges of the AI era by cultivating their practical competencies and innovative thinking. The effectiveness of these reforms is analyzed through student feedback and learning outcomes, offering insights into the broader context of professional course reform within electrical engineering disciplines.

Keywords

Artificial Intelligence, Sensor Technology, Curriculum Reform, Engineering Education

Cite This Paper

Meiling Ma. Enhancing Sensor Principles Education with Artificial Intelligence: Curriculum Integration and Pedagogical Innovations. Frontiers in Educational Research (2025) Vol. 8, Issue 1: 13-17. https://doi.org/10.25236/FER.2025.080103.

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