Cognitive load theory based model in mathematics software
Type
Thesis
Main Author
Erni Marlina Saari
Subject
QA Mathematics
Language Code
eng
Bibliographic Details
Place of Production
Tanjong Malim
Publisher
Fakulti Seni, Komputeran dan Industri Kreatif
Year of publication
2011
Notes
-
Degree Type
Masters
Corporate Name
Perpustakaan Tuanku Bainun
Abstract
The Cognitive Load Theory (CLT) is widely accepted by instructional designers as it provides a strong theoretical foundation for developing effective instructional design guidelines. Instruction that efficiently presents learning materials within our working memory influences our ability to store knowledge and skills in long-term memory. CLT suggests that the most effective instructional materials are those that direct cognitive resources toward learning-related activities rather than toward tasks that are only preparatory to learning.In applying CLT to the design of instructional courseware, I discovered that it provides a solid foundation for developing effective learning instruction. Furthermore, to enhance courseware-based instruction effectively, the Graphical User Interface (GUI) and multimedia elements must be developed in consideration of CLT principles.Since the capacity of working memory is very limited, CLT assumes that presenting multiple sources of information in the same modality—such as only visually—can easily cause a split-attention effect, which leads to poor learning performance. To prevent this, CLT recommends presenting information through different modalities, for example, combining auditory text with visual displays.Recent advances in CLT research have significantly contributed to the instructional design field, particularly in understanding the interaction between information structures and human cognitive architecture. Moreover, the concept of element interactivity helps explain not only why some materials are difficult to learn but also why they can be challenging to understand. This understanding becomes crucial when learners are dealing with high element interactivity materials that naturally impose a high cognitive load
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