Constructing hands-on distance labs
The development and implementation of an Intelligent Learning Management System (ILMS-d) in undergraduate IoT courses
Bibliographic Data
| ID | 21631733 |
|---|---|
| Authors | Ai-Jou Pan (0000-0003-0097-1715, National Cheng Kung University), Yu-Che Huang (0009-0005-9511-5066, National Cheng Kung University), Chin-Feng Lai (0000-0001-7138-0272, National Cheng Kung University, corresponding author) |
| Year | 2024 |
| Volume | 32 |
| Issue | 10 |
| Pages | 6413-6429 |
| Publication date | 2024-11-25 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Interactive Learning Environments (JOURNAL) |
| Journal identifiers | ISSN: 1049-4820 • E-ISSN: 1744-5191 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10494820.2023.2263061 |
| OpenAlex | W4387367262 |
| Language | EN |
| References cited | 54 |
Engineering education emphasizes experiential learning and laboratory experience, an approach which has faced significant challenges during the COVID-19 pandemic. The inability to conduct hands-on laboratory experiments in engineering courses can significantly impede the student's learning experience, as well as their acquisition and retention of knowledge. Hence, it is imperative that practical hands-on laboratory experiments be incorporated as a critical component of distance learning tools. While researchers have proposed multiple methods, the provision of practical hands-on laboratory experience without limitations of time or place remains a challenging issue. This study aimed to address this issue by developing an Intelligent Learning Management System (ILMS), the ILMS-d, to construct a hands-on distance laboratory for engineering courses. We investigated the effect of implementing the ILMS-d in IoT courses on students’ learning achievement and engineering problem-solving skills, and we assessed their acceptance of the proposed system. We found a significant positive effect on the learning achievement and engineering problem-solving skills of high, medium, and low achievers. In addition, students at all achievement levels responded positively to the usefulness and ease of use of the ILMS-d. Future research should incorporate different AI functions into the ILMS-d to construct more adaptive hands-on distance laboratories for students
Distance education · Educational technology · Engineering education · Engineering management · Experiential learning · Learning Management · Mathematics education · Multimedia · Science education · Biomedical and Engineering Education · Computer Science · Engineering · Experimental Learning in Engineering · Online Learning and Analytics · Psychology
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| Highly cited | No |
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