Applying project‐based learning in artificial intelligence and marine discipline: An evaluation study on a robotic sailboat platform. Issue 2 (24th June 2022)

• Record Type: Journal Article
• Authors: Lin, Xiongwei; Liu, Hengli; Sun, Qinbo; Li, Xiuhan; Qian, Huihuan; Sun, Zhenglong; Lam, Tin Lun
• Is Part Of: IET cyber-systems and robotics. Volume 4:Issue 2(2022)
• Page Start: 86
• Page End: 96
• Publication Date: 2022-06-24
• Subjects: application platform -- artificial intelligence -- educational robots -- marine robotics -- robotic game and competition; Robotics -- Periodicals; Cybernetics -- Periodicals; Cybernetics; Robotics; Periodicals; 629
• DOI: 10.1049/csy2.12050
• Languages: English
• ISSNs: 2631-6315

Abstract

Abstract: Artificial intelligence is penetrating various fields. The demand for interdisciplinary talent is increasingly important, while interdisciplinary educational activities for high school students are lagging behind. Project‐based learning (PBL) in artificial intelligence (AI) and robotic education activities supported by a robotic sailboat platform, the sailboat test arena (STAr), has been shown to popularise AI and robotic knowledge in young students. In the implementation of the programme, PBL was provided for students, and gamification pedagogy was applied to increase participants' learning motivation and engagement. The results show that the proposed STAr‐based programme is capable of delivering the desired knowledge and skills to students at high school levels. The assessment results suggest that most students achieve learning outcomes on average. Students showed more interest in AI and marine disciplines and were willing to participate in more such educational programs. The findings fill the research gap that few existing education platforms have facilitated the teaching and learning of AI and marine disciplines for high school students.