AI-Assisted Personalized Learning System for Teaching Chassis Principles

被引:0
作者
Liao, Chin-wen [1 ,2 ,3 ]
Lin, En-shiuh [1 ]
Chen, Bo-siang [1 ,4 ]
Wang, Cheng-chia [1 ,5 ]
Wang, I-chi [1 ,6 ]
Ho, Wei-sho [1 ,3 ,7 ,8 ]
Ko, Yu-yuan [1 ,9 ,10 ]
Chu, Tzu-hsin [1 ]
Chang, Kuang-min [4 ,11 ,12 ]
Luo, Wen-jun [1 ,11 ,12 ,13 ]
机构
[1] Natl Changhua Univ Educ, Dept Ind Educ & Technol, Bao Shan Campus,2 Shi Da Rd, Changhua, Taiwan
[2] Natl Chung Hsing Univ, Ctr Teacher Educ, 145 Xingda Rd, Taichung 402202, Taiwan
[3] Natl Changhua Univ Educ, Grad Inst Technol & Vocat Educ, Bao Shan Campus,2 Shi Da Rd, Changhua, Taiwan
[4] Nan Kai Univ Technol, Dept Vehicle Engn, 568 Zhongzheng Rd, Nantou 542020, Taiwan
[5] Taichung Municipal Dongshih Ind High Sch, Dept Fine Arts, Sec 6,Dongguan Rd, Taichung 423311, Taiwan
[6] Natl Chin Yi Univ Technol, Coll Gen Educ, Liberal Educ Ctr, Sec 2,Zhongshan Rd, Taichung 411030, Taiwan
[7] Natl Changhua Univ Educ, NCUE Alumni Assoc, Jin De Campus,1 Jinde Rd, Changhua 500207, Taiwan
[8] Natl Changhua Univ Educ, Dept Elect & Mech Technol, Bao Shan Campus,2 Shi Da Rd, Changhua 500208, Taiwan
[9] Sheng Huo Auto Parts Co Ltd, Sec 2,Zhongshan Rd, Changhua 503006, Taiwan
[10] Chinese Automot Repair Serv Assoc, Sec 2,Zhongshan Rd, Changhua 503006, Taiwan
[11] Jian Jing Enterprise Co Ltd, Ln 233,Changan Rd, Taichung 411028, Taiwan
[12] Natl Changhua Univ Educ, Grad Inst Vehicle Engn, Bao Shan Campus,2 Shi Da Rd, Changhua 500208, Taiwan
[13] Chien Kuo Technol Univ, Dept Mech Engn Adv Vehicle Grp, 1 Jieshou N Rd, Changhua 500020, Changhua, Taiwan
关键词
generative AI; personalized learning system; principles of chassis; vocational high schools; ARTIFICIAL-INTELLIGENCE; EDUCATION; DESIGN; SCIENCE;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study develops a generative AI-assisted personalized learning system for the Principles of Chassis course in Taiwan's Vocational High Schools' Dept. of Auto Mechanics. Using large language models, it provides adaptive content on transmission, suspension, steering, wheel, and braking systems. The research documents the design process, focusing on knowledge transformation, personalized content generation, and abstract concept instruction. The system underwent rigorous validation by eight subject matter experts, comprising three automotive engineering professors, two vocational education specialists, two AI/educational technology experts, and one industry expert with extensive practical experience. Implementation testing involved 35 students and two experienced teachers, with expert evaluations showing the system's effectiveness in personalized learning, especially for complex chassis concepts, receiving positive feedback from users. The study contributes to teaching innovation in automotive education and offers insights for similar systems in other courses. Future research will explore broader applications in Taiwan's vocational education.
引用
收藏
页码:548 / 560
页数:13
相关论文
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