When redundant on-screen text in multimedia technical instruction can interfere with learning.
It is frequently assumed that presenting the same material in written and spoken form benefits learning and understanding. The present work provides a theoretical justification based on cognitive load theory, and empirical evidence based on controlled experiments, that this assumption can be incorrect. From a theoretical perspective, it is suggested that if learners are required to coordinate and simultaneously process redundant material such as written and spoken text, an excessive working memory load is generated. Three experiments involving a group of 25 technical apprentices compared the effects of simultaneously presenting the same written and auditory textual information as opposed to either temporally separating the two modes or eliminating one of the modes. The first two experiments demonstrated that nonconcurrent presentation of auditory and visual explanations of a diagram proved superior, in terms of ratings of mental load and test scores, to a concurrent presentation of the same explanations when instruction time was constrained. The 3rd experiment demonstrated that a concurrent presentation of identical auditory and visual technical text (without the presence of diagrams) was significantly less efficient in comparison with an auditory-only text. Actual or potential applications of this research include the design and evaluation of multimedia instructional systems and audiovisual displays.
Kalyuga
Slava
S
University of New South Wales, Sydney, Australia. s.kalyuga@etc.unsw.edu.au
Chandler
Paul
P
Sweller
John
J
D000293:Adolescent; D000328:Adult; D001288:Attention / Q000502:physiology; D003071:Cognition / Q000502:physiology; D003194:Computer-Assisted Instruction; D018961:Educational Technology / Q000592:standards / Q000639:trends; D005260:Female; D006801:Humans; D007858:Learning / Q000502:physiology*; D008297:Male; D011939:Mental Recall / Q000502:physiology; D019212:Multimedia; D015999:Multivariate Analysis; D011336:Probability; D012107:Research Design; D012307:Risk Factors; D012680:Sensitivity and Specificity; D013647:Task Performance and Analysis