Review: Integrating cognitive load theory and concepts of human-computer interaction
Computers in Human Behavior
Recommendation-based editor for business process modeling
Data & Knowledge Engineering
| Hi-index | 0.00 |
Human cognition constitutes a natural information processing system that has evolved to mimic the architecture of biological evolution (Sweller & Sweller, 2006). Both evolution by natural selection and human cognition can be characterised by a series of basic principles. In the case of human cognition, these are: The information store principle dealing with human long-term memory; The borrowing and reorganising principle dealing with how we characteristically obtain information from other people; The randomness as genesis principle dealing with how we create novel information; The narrow limits of change principle dealing with the role of a limited working memory in processing novel information; The environmental linking and organising principle that explains how we use organised information held in long-term memory to determine how we interact with our environment. Cognitive load theory has used this architecture to devise a large range of instructional effects, some of which will be discussed in this talk {Sweller, 2003; Sweller, 2004; Clark, Nguyen & Sweller, 2006}. Each of the effects is concerned with procedures for reducing extraneous working memory load in order to facilitate the acquisition of knowledge in long-term memory. Instructional effects discussed are: The worked example effect according to which studying worked examples is superior to solving the equivalent problems; The split-attention effect in which presenting learners with physically integrated information is superior to information requiring them to split their attention between multiple sources of information; The modality effect where presenting some information in both visual and auditory modes is superior to presenting the information in purely visual mode; The redundancy effect in which presenting unnecessary information including the same information in different modes reduces learning compared to eliminating redundant information; The expertise reversal effect in which instructional procedures that facilitate novice learning have reduced effectiveness as levels of expertise increase with their effectiveness eventually reversing; The element interactivity effect where cognitive load effects obtainable with complex information disappear with simpler information; The imagination effect according to which learners asked to imagine concepts or procedures are superior to learners asked to study those concepts or procedures. Both the cognitive architecture and the instructional procedures generated from that architecture assume that instruction should be direct and explicit. Problem-based, discovery and constructivist learning procedures that deliberately withhold information from learners are likely to be sub-optimal with the empirical evidence strongly supporting this assertion {Kirschner, Sweller, & Clark, 2006}.