Cognitive load measurement as a means to advance cognitive load theory

被引:1415
作者
Paas, F
Tuovinen, JE
Tabbers, H
Van Gerven, PWM
机构
[1] Open Univ Netherlands, Educ Technol Expertise Ctr, NL-6401 DL Heerlen, Netherlands
[2] Charles Sturt Univ, Sch Educ, Bathurst, NSW 2795, Australia
[3] Erasmus Univ, Inst Psychol, Rotterdam, Netherlands
关键词
D O I
10.1207/S15326985EP3801_8
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this article, we discuss cognitive load measurement techniques with regard to their contribution to cognitive load theory (CLT). CLT is concerned with the design of instructional methods that efficiently use people's limited cognitive processing capacity to apply acquired knowledge and skills to new situations (i.e., transfer). CLT is based on a cognitive architecture that consists of a limited working memory with partly independent processing units for visual and auditory information, which interacts with an unlimited long-term memory. These structures and functions of human cognitive architecture have been used to design a variety of novel efficient instructional methods. The associated research has shown that measures of cognitive load can reveal important information for CLT that is not necessarily reflected by traditional performance-based measures. Particularly, the combination of performance and cognitive load measures has been identified to constitute a reliable estimate of the mental efficiency of instructional methods. The discussion of previously used cognitive load measurement techniques and their role in the advancement of CLT is followed by a discussion of aspects of CLT that may benefit by measurement of cognitive load. Within the cognitive load framework, we also discuss some promising new techniques.
引用
收藏
页码:63 / 71
页数:9
相关论文
共 49 条
[1]  
Beatty J, 2000, HDB PSYCHOPHYSIOLOGY, P142
[2]   PROBLEMS OF PERCEIVED DIFFICULTY [J].
BORG, G ;
BRATFISC.O ;
DORNIC, S .
SCANDINAVIAN JOURNAL OF PSYCHOLOGY, 1971, 12 (04) :249-&
[3]   Direct measurement of cognitive load in multimedia learning [J].
Brünken, R ;
Plass, JL ;
Leutner, D .
EDUCATIONAL PSYCHOLOGIST, 2003, 38 (01) :53-61
[4]   Physiological characteristics of capacity constraints in working memory as revealed by functional MRI [J].
Callicott, JH ;
Mattay, VS ;
Bertolino, A ;
Finn, K ;
Coppola, R ;
Frank, JA ;
Goldberg, TE ;
Weinberger, DR .
CEREBRAL CORTEX, 1999, 9 (01) :20-26
[5]   Dynamic problem selection in air traffic control training: a comparison between performance, mental effort and mental efficiency [J].
Camp, G ;
Paas, F ;
Rikers, R ;
van Merrienboer, J .
COMPUTERS IN HUMAN BEHAVIOR, 2001, 17 (5-6) :575-595
[6]   Some conditions under which integrated computer-based training software can facilitate learning [J].
Cerpa, N ;
Chandler, P ;
Sweller, J .
JOURNAL OF EDUCATIONAL COMPUTING RESEARCH, 1996, 15 (04) :345-367
[7]  
Chandler P, 1996, APPL COGNITIVE PSYCH, V10, P151, DOI 10.1002/(SICI)1099-0720(199604)10:2<151::AID-ACP380>3.0.CO
[8]  
2-U
[9]   High versus low contextual interference in simulation-based training of troubleshooting skills: Effects on transfer performance and invested mental effort [J].
de Croock, MBM ;
van Merrienboer, JJG ;
Paas, FGWC .
COMPUTERS IN HUMAN BEHAVIOR, 1998, 14 (02) :249-267
[10]   Speed of information processing, psychometric intelligence: and time estimation as an index of cognitive load [J].
Fink, A ;
Neubauer, AC .
PERSONALITY AND INDIVIDUAL DIFFERENCES, 2001, 30 (06) :1009-1021