DocumentCode :
693441
Title :
The framework for learning using video based on cognitive load theory among visual learners
Author :
Md Noor, Norah ; Hamizan, Nurul Izzati ; Ab Rahim, Radhiah
Author_Institution :
Fac. of Educ., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2013
fDate :
4-5 Dec. 2013
Firstpage :
15
Lastpage :
20
Abstract :
Using video for learning is no longer extraordinary in the world of education. Many researchers have shown that visual learners enjoy the use of video. However, which video will best grab their attention? This research was conducted to investigate the best framework for learning using video among visual learners. In order to do so, three different videos embedded with Cognitive Load Theory were selected by researchers. Then, 23 students from varied faculties at University Technology Malaysia (UTM) were selected to answer the Visual, Audio and Kinaesthetic (VAK) Learning Style Test. Nine visual learners were then identified among these respondents and invited to answer the questionnaire on perception of learning using video based on cognitive load theory. Data were analyzed using qualitative measures and content analysis. The findings show that visual learners love videos with less than six minutes´ duration, high definition visual quality, simple delivery language and a slow delivery method. All of the visual learners preferred to use video before entering class, which synchronizes with the flip classroom strategy. Hopefully, this framework can be used by educators to develop their own video-based learning materials.
Keywords :
cognition; education; video signal processing; University Technology Malaysia; cognitive load theory; education; video-based learning materials; visual audio kinaesthetic learning style test; visual learners; Brushes; Educational institutions; Image color analysis; Media; Tutorials; Visualization; Cognitive Load Theory; Flipped Classroom; VAK Learners; Video Based Learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering Education (ICEED), 2013 IEEE 5th Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-2333-5
Type :
conf
DOI :
10.1109/ICEED.2013.6908295
Filename :
6908295
Link To Document :
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