认知负荷
认知
计算机科学
数学教育
主成分分析
心理学
组分(热力学)
应用心理学
人工智能
物理
神经科学
热力学
作者
Jimmie Leppink,Fred Paas,Cees van der Vleuten,Tamara van Gog,Jeroen J. G. van Merriënboer
标识
DOI:10.3758/s13428-013-0334-1
摘要
According to cognitive load theory, instructions can impose three types of cognitive load on the learner: intrinsic load, extraneous load, and germane load. Proper measurement of the different types of cognitive load can help us understand why the effectiveness and efficiency of learning environments may differ as a function of instructional formats and learner characteristics. In this article, we present a ten-item instrument for the measurement of the three types of cognitive load. Principal component analysis on data from a lecture in statistics for PhD students (n = 56) in psychology and health sciences revealed a three-component solution, consistent with the types of load that the different items were intended to measure. This solution was confirmed by a confirmatory factor analysis of data from three lectures in statistics for different cohorts of bachelor students in the social and health sciences (ns = 171, 136, and 148), and received further support from a randomized experiment with university freshmen in the health sciences (n = 58).
科研通智能强力驱动
Strongly Powered by AbleSci AI