Artificial intelligence-based smart engineering education

Fan Ouyang; Pengcheng Jiao; Amir H. Alavi

doi:10.1117/12.2557464

23 April 2020 Artificial intelligence-based smart engineering education

Fan Ouyang, Pengcheng Jiao, Amir H. Alavi

Proceedings Volume 11379, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2020; 113790C (2020) https://doi.org/10.1117/12.2557464
Event: SPIE Smart Structures + Nondestructive Evaluation, 2020, Online Only

Abstract

Artificial intelligence has the capacity to open new opportunities and potentials for engineering education. Artificial intelligence in education has undergone several paradigmatic shifts in its brief history. This study investigates the advent, development and future trends of artificial intelligence-based smart engineering education (AIED-Eng). Particular focus is placed on major paradigms in AIED-Eng including leaner-receiver, learner-partner and learner-center. The artificial intelligence techniques applied to these paradigms are evaluated. Computer-based tools enabling the engineering education paradigms are summarized. Further discussion is presented about the key role of artificial intelligence in improving smart engineering education as a guidance for future learning, teaching and design processes

Citation Download Citation

Fan Ouyang, Pengcheng Jiao, and Amir H. Alavi "Artificial intelligence-based smart engineering education", Proc. SPIE 11379, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2020, 113790C (23 April 2020); https://doi.org/10.1117/12.2557464

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