Improving Second Language Lexical Acquisition Through Personalization and Contextualization: A Look at Intrinsic Cognitive Load Reduction Strategies [thesis]

Curtis Kleinman
2017
Cognitive load reduction strategies traditionally seek to reduce the amount of extraneous mental effort required of the learner. Researchers, through effective instructional design, seek to eliminate load-causing agents that are extraneous to the learning topic at hand. However, cognitive load theory research has now shifted to also include the exploration of strategies that seek to reduce the inherent complexities of the target topic itself. The current study seeks to apply two such intrinsic
more » ... ognitive load reduction strategies—personalization and contextualization. Previous research suggests that cognitive load can be reduced by personalizing the learning environment, which serves to meet the interests of each learner as well as to provide a familiar environment, or prior knowledge script, for the learner. By utilizing instructional materials for which learners already have an established script, personalized materials are able to reduce the number of novel elements that must be individually processed by the learner, and by so doing, effectively reduce cognitive load. Research also suggests that personalized learning environments can also be more intrinsically motivating for learners, a tenant that is again assessed in the current study. Intrinsic cognitive load reduction research likewise suggests that new topics be presented serially, and in isolation from confounding authentic contexts when possible, in order to reduce the number of elements that must be simultaneously processed that might otherwise outstrip learners' available cognitive resources. Contrarily, second language acquisition research suggests that new target lexical items are best learned through inferring a new term's meaning through a rich authentic context. Studies contend that learners are able to map a lexicon's form to its meaning most effectively when new terms are interpreted through highly contextualized imbedded learning environments. The current study sought to determine how a multimedia tutorial's level of personalization and conte [...]
doi:10.25777/f89x-w613 fatcat:ki2qwauovfgfpe2vltqj4fkxam