My Brain is Full! Time to Digest
Image Source: Found on Mimi and Eunice Cartoons |
Cognitive Load Theory suggests that learners can engage and retain information
effectively only if it is provided in a way that it does not “overload” the
learners working memory (Ormrod,2012). Each learner comes to the learning
with their own personal schema, which are structures for the learner that help
them link what they already know to something they are about to learn (Harvey
& Goudvis, 2007). There are three types of cognitive load to
consider, intrinsic, extraneous, and germane.
- Intrinsic cognitive load has characteristic level of difficulty related to a specific topic,the more difficult the task the more the cognitive load will be experienced
- Extraneous cognitive load has non-relevant information that is difficult for the learner to process, but isn't necessary needed for the lesson
- Germane cognitive load is the amount of learners working memory is devoted to the processing, construction and automation of schema (Ormrod,2012)
Gaining a beginning
understanding of Cognitive Load Theory this week really resonated with me as a
learner and as a teacher of young children. Artino, states that the Cognitive
load theory assumes “that learning will be hindered if the instructional materials
overwhelm the learner, which will then limit the working memory resources
(Artino, 2008).” When I reflect on the
numerous conversation about what young learners are being asked to do and as
teachers we continually ask why these young student’s aren’t attending and why
they are wiggly. I wonder if we haven’t
provided them with the opportunities to build their schema, with authentic
learning environment. In my quest for knowledge on Cognitive Load Theory, I ran
across some interesting articles about technology integration and young
learners.
Image Source: NeuroWiki2012 |
Reference
Artino, A. R. (2008). Cognitive load theory and the role of
learner experience: An abbreviated review for educational practitioners.
Association for the Advancement of Computing in Education Journal, 16, 425-439.
Chu , Hui-Chun. (2013)
Potential negative effects of mobile learning on students’ learning achievement
and cognitive load: A format assessment perspective, Journal of Educational
Technology & Society. 2014, Vol. 17 Issue 1, p332-344. 13p.
Ormrod,J.E. (2012) Human Learning: Sixth Edition. Boston: Pearson Education, Inc.
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