Olayiwola, J; Yusuf, A; Akanmu, A; Gonsalves, N and Abraham, Y (2024) Efficacy of annotated video-based learning environment for drawing students' attention to construction practice concepts. Journal of Construction Engineering and Management, 150(1): 04023155, ISSN 0733-9364
Abstract
To enhance students' learning of construction practice, instructors use videos as multimedia pedagogical tools to bring practical experience into the classroom. However, cognitive load levels, individual differences, and multimedia design principles are important considerations in the effective use of videos for instruction. Therefore, this study investigates the effectiveness of an artificial intelligence (AI)-annotated video in guiding students' attention to important construction practice concepts. Students were exposed to both annotated and unannotated videos illustrating construction safety practices. Eye tracking metrics and self-reported cognitive load were collected as students interacted with both learning environments. The effectiveness of the videos in drawing students' attention were compared. The AI-annotated video was considered effective and the variations across individual differences were reported. No significant difference was observed in the cognitive loads of both learning environments. This study provides an understanding of the extent to which learners of different demographic characteristics allocate attention to signaled practice concepts. This study also illustrates the impact of the signaled concepts on learners' cognitive loads. This study contributes to existing theories by elucidating how practice knowledge could be adapted to meet construction engineering students' learning needs.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | annotated videos; cognitive load; construction engineering education; demographic differences; practice concepts |
| Index terms: | variation, drawing, artificial intelligence, instructor, construction safety, design principle, construction engineering, classroom, effectiveness |
| Subjects: | artificial intelligence, technical documentation, practitioner, engineering methods, environmental health, performance management, design methods, contractual condition, construction type |
| Topics: | Contract Administration, Construction Technology, Roles and Professions, Engineering Principles, Sustainability, Digital Applications, Design Practice, Quality Management |
| Descriptive scope: | 2 PC |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here