Development of An AI Desktop Assistant based on ESP32 : Practice on Experiential Learning in Engineering Education

In the present study, we have attempted to implement experiential learning (EL) which is, in particular, considering to including practice of using generative AI in the learning contents, in education of the discipline of mechatronics and robotics. In particular, we introduce to students knowledge of generative AI, and their role in modern engineering systems, as well as encouraging them to practice relevant technology in their group projects. We have presented a typical case study of a student group project, which efficiently practices EL integrated with generative AI technology, i.e. the development of an AI desktop assistant, in which students have practiced and integrated in the device the following AI-based technology. Results and outcomes can readily show that the developed AI desktop assistant boasts impeccable functions and is highly in line with the demands of the present education market. Meanwhile, such projects examples, under the EL framework, whilst integrated with recent AI technology, can greatly motivate students’ learning and their performance.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/itme63426.2024.00230
Primary Topic
Education and Learning Interventions
Type
article
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article

Development of An AI Desktop Assistant based on ESP32 : Practice on Experiential Learning in Engineering Education

Jinli Luo, Xiaojun Zhang, Mark Leach, Quan Zhang et al.
Education and Learning Interventions
article

Development of An AI Desktop Assistant based on ESP32 : Practice on Experiential Learning in Engineering Education

Jinli Luo, Xiaojun Zhang, Mark Leach, Quan Zhang, Haoyu Chen, Jiaxiang Wang, Wenzhe Shi, Junjie Gavin Wu
article en

Abstract

In the present study, we have attempted to implement experiential learning (EL) which is, in particular, considering to including practice of using generative AI in the learning contents, in education of the discipline of mechatronics and robotics. In particular, we introduce to students knowledge of generative AI, and their role in modern engineering systems, as well as encouraging them to practice relevant technology in their group projects. We have presented a typical case study of a student group project, which efficiently practices EL integrated with generative AI technology, i.e. the development of an AI desktop assistant, in which students have practiced and integrated in the device the following AI-based technology. Results and outcomes can readily show that the developed AI desktop assistant boasts impeccable functions and is highly in line with the demands of the present education market. Meanwhile, such projects examples, under the EL framework, whilst integrated with recent AI technology, can greatly motivate students’ learning and their performance.

Xi’an Jiaotong-Liverpool University (CN)
Quality Education
Openalex Percentile: Top 54%
Education and Learning Interventions
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