Chunk Learning Media for Cognitive Load Optimization on Science Learning

Angga, Ng Melissa and Phieranto, Cicilia and Tejo, Fonny and Yovan, Dionisius and Angelica, Angelica and Putri, Felicia Sumarsono (2023) Chunk Learning Media for Cognitive Load Optimization on Science Learning. In: 2022 Seventh International Conference on Informatics and Computing (ICIC), 08-09 December 2022, Denpasar, Bali.

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The sudden shift in the education world due to the pandemic of Covid-19 bring both challenge and opportunity at the same time. Since decades ago, the understanding of the importance to manage cognitive load for effective learning had been applied in multiple methods. Having said that, only a few addresses the opportunity to combine it with the latest trend attractive for today's young learners to minimize more extraneous cognitive load. This research discusses the matter by proposing the adoption of the combination of chunk learning, animation, and super short video in social media platforms to convey learning materials on nervous system science, which has been stamped as a hard subject for high school students. The adaptation of super short video animation on nervous system science successfully helps students cope with the daunting pile of materials align with the cognitive load theory.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: cognitive load, chunk learning, short video, animation, nervous system
Subjects: L Education > LB Theory and practice of education
Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Multimedia
Depositing User: Melissa Angga 61110
Date Deposited: 31 Jan 2023 05:41
Last Modified: 31 Jan 2023 05:41

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