期刊文献+

学习材料的背景颜色对认知负荷及学习的影响 被引量:11

Effects of the Background Color of Learning Materials on Cognitive Load and Learning Performance
下载PDF
导出
摘要 本研究采用2×2的多因素混合实验设计,探讨了物理学习环境之一的学习材料背景颜色对认知负荷及学习的影响。结果发现:(1)背景颜色在对认知负荷的影响上与任务类型产生交互作用,在解决创造性问题时,暖色调(如红色)背景下的认知负荷显著高于冷色调(如蓝色)。(2)从学习成绩上看,暖色调(如红色)更有利于记忆测试问题的解决,冷色调(如蓝色)更有利于创造性问题的解决。(3)认知负荷与任务绩效呈一定程度相关。。 Choi et al. (2014) introduced a new model of cognition load in which added factors of the physical learning environment affect task characteristics and learner characteristics. The physical learning environment referred to the whole range of physical properties of a place where teaching and learning took place, including physical characteristics of learning materials, tools, or natural spaces, etc. However, until now, researchers had paid very little attention to the effects of the physical learning environment on cognitive load and learning. Color, a basic form of human perception and an important part of the physical learning environment, had intrigued many researchers to study its impact on cognition and behavior. Conflicting results had been found as to whether warm versus cool colors enhance cognitive task performance. The main purpose of the study was to explore the influence of the background color of learning materials and type of task on cognition load and learning performance for their importance to instruction designs. The study used a 2×2 mixed design with between-subjects factor being the type of background color (red verse blue) and within-subjects factor being the type of task ( the memory test task verse the creative task). A sample of 80 participants, who were randomly selected from 612 students of 10 parallel classes in a middle school, volunteered to participate in the study. Their ages ranged from 15 to 17 years and all were right-handed. No participants were reported to have got color blindness or color weakness. The memory test task was asked to recall as many words as they could within 90 sec after they had studied a list of 40 neutral Chinese words for 2 min. The creative task was asked to generate as many creative uses for a piece of newspaper as they could think of within 90 sec. They were both presented on Lenovo computers with red or blue background. The experimental program was designed by the E-prime 2.0 psychology software so as to control the presentation time of experiment materials and measure the time of task completion. The participants were required to assess their cognitive load with the Paas Scale after they had completed a type of task. The entire experiment lasted about 25 min. The hypotheses were verified on the whole. Though the main effect of background color of learning materials on cognition load was not remarkable, there existed an interaction effect of background color and type of task. In solving creative problems, background color had significant effects on cognition load, and cognition load induced by warm colors (e.g., red) was higher than that induced by cool colors (e.g., blue). On the other hand, background color had also a significant impact on learning performance. Compared with cool colors (e.g., blue), warm colors (e.g., red) enhanced learning performance on memory test tasks. Simultaneously, cool colors (e.g., blue) facilitated learning performance on creative problems. To some extent, the study verified the revised model of cognition load proposed by Choi et al. (2014) by taking the background color of learning materials, one of the factors in the physical leaning environment, as an example.
出处 《心理科学》 CSSCI CSCD 北大核心 2016年第4期869-874,共6页 Journal of Psychological Science
基金 教育部人文社会科学规划基金项目(15YJA880056)的资助
关键词 认知负荷 物理学习环境 背景颜色 任务绩效 cognitive load, physical learning environment, background color, task performance
  • 相关文献

参考文献19

  • 1龚德英,张大均.2013,多媒钵学习手认知负荷的优化控制.北京:科学出版社.
  • 2石伟.浅析认知负荷教学设计理论的问题[J].西南师范大学学报(自然科学版),2011,36(3):287-291. 被引量:3
  • 3孙崇勇,刘电芝.认知负荷主观评价量表比较[J].心理科学,2013,36(1):194-201. 被引量:30
  • 4姚琦,马华维,乐国安.期望与绩效的关系:调节定向的调节作用[J].心理学报,2010,42(6):704-714. 被引量:30
  • 5赵俊蜂.2011,解密学业负担:学习过程中的以知负荷研究.北京:科学出版社.
  • 6Chellappa, S. L, Steiner, R, Blattner, P, Oelhafen, P, GOtz, T, & Cajochen, C. 2011, Non-visual effects of light on me]atonin, alertness and cognitive performance: Can blue-enriched light keep us alert? PLoS ONE, 6(1), e16429.
  • 7Choi, H. H, van Merrlenboer, J. J. G, & Pans, F. 2014, Effects of the physical. environment on cognitive load and learning: Towards a new model of cognitive load. Educagonal Psychology Review, 26(2), 225-244.
  • 8Elliot, A. J, & Maier, M. A. 2012, Color-in-context theory. Advances in Experimental Soeid Psychology, 45, 61-125.
  • 9Fraser, K, Ma, I, Teteris, E, Baxter, H, Wright, B, & McLaughlin, K. 2012, Emotion, cognitive load and learning outcomes during simulation training. MedieM Education, 46(11), 1055-1062.
  • 10Friedman, R. S, & Frster, J. 2010, Implicit affective cues and attentional tuning: An integrative review. PsyehologicM Bulletin, 136(5), 875-893.

二级参考文献35

  • 1MAYER R E. Introduction to Multimedia Learning. In R E Mayer (Ed.), The Cambridge Handbook of Multimedia Learning [M]. Cambridge, UK: Cambridge University Press, 2005: 1-18.
  • 2SCHNOTZ W, KURSCHNER C. A Reconsideration of Cognitive Load Theory [J]. Educational Psychology Review, 2007, 19(4): 469-508.
  • 3BANNERT M. Effects of Reflection Prompts When Learning with Hypermedia[J]. Journal of Educational Computing Research, 2006, 35(4): 359-375.
  • 4MORENO R. Learning From Animated Classroom Exemplars: The Case for Guiding Student Teachers' Observations with Metacognitive Prompts [J]. Journal of Educational Research and Evaluation, 2009, 15(5): 487-501.
  • 5WHITE B, FREDERIKSEN J. A Theoretical Framework and Approach for Fostering Metacognitive Development [J]. Educational Psychologist, 2005, 40(4): 211-223.
  • 6MAYER R E, CHANDLER P. When Kearning is Just a Click Away: Does Simple User Interaction Foster Deeper Un- derstanding of Multimedia Messages? [J]. Journal of Educational Psychology, 2001, 93(2): 390-397.
  • 7PLASS J L, HOMER B D, MILNE C, et al. Design Factors for Effective Science Simulations: Representation of Infor- mation [J]. International Journal of Gaming and Computer-Mediated Simulations, 2009, 1(1) : 16- 35.
  • 8PLASS J L, HOMER B D, HAYWARD E. Design Factors for Educationally Effective Animations and Simulations [J]. Journal of Computing in Higher Education, 2009, 21(1): 31-61.
  • 9MORENO R. When Worked Examples Don't Work: Is Cognitive Load Theory at an Impasse? [J]. Learning and In- struction, 2006, 16(2): 170-181.
  • 10RUMMER R, SCHWEPPE J, FURSTENBERG A, et al. Working Memory Interference During Processing Texts and Pictures:Implications for the Explanation of the Modality Effect [J]. Applied Cognitive Psychology, 2010, 24 (2):164-176.

共引文献60

同被引文献149

引证文献11

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部