Development of Mobile Interactive Courses Based on an Artificial Intelligence Chatbot on the Communication Software LINE

Autor/inn/en	Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng
Titel	Development of Mobile Interactive Courses Based on an Artificial Intelligence Chatbot on the Communication Software LINE
Quelle	In: Interactive Learning Environments, 31 (2023) 6, S.3562-3576 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Yuan, Chia-Ching) ORCID (Li, Cheng-Hsuan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2021.1937230
Schlagwörter	Artificial Intelligence; Man Machine Systems; Technology Uses in Education; Educational Technology; Computer Assisted Instruction; Military Training; Computer Software; Intelligent Tutoring Systems; Learning Processes; Learning Analytics; Electronic Learning; Individualized Instruction; Computer System Design; Computer Interfaces; Computer Software Evaluation; Knowledge Level; Outcomes of Education; Foreign Countries; Taiwan + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Mensch-Maschine-System; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Unterrichtsmedien; Computer based training; Computerunterstützter Unterricht; Militärausbildung; Intelligentes Tutorsystem; Learning process; Lernprozess; Individualisierender Unterricht; Softwareanalyse; Wissensbasis; Lernleistung; Schulerfolg; Ausland
Abstract	Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization with procedures among personnel is difficult to measure. The US military introduced a chatbot as part of its digital training material to enhance training effectiveness and avoid equipment damage. In this study, the contribution of an artificial intelligence (AI) chatbot in training is explored. To evaluate the necessity of an AI chatbot, research samples were divided into two groups, namely an experimental and a control group, with 20 people in each group. A paired t test was employed for differentiation analysis of pretest and posttest average scores, revealing that the two groups exhibited a statistically significant improvement in their learning performance. In addition, the blend of analysis of variance results indicated significant differences between the two groups. The chatbot training was more effective than traditional instructor teaching in terms of trainee performance improvement. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01