Effects of Split-Attention and Task Complexity on Individual and Collaborative Learning

被引:1
作者
Guzman, John [1 ,2 ]
Zambrano, R. Jimmy [2 ]
机构
[1] Minist Educ, Quito 170515, Ecuador
[2] Univ Pacifico, Fac Ciencias Educ & Ciencias Sociales, Guayaquil 090603, Ecuador
关键词
split attention; element interactivity; individual learning; collaborative learning; cognitive load; COGNITIVE LOAD THEORY; IMPROVE; WORK;
D O I
10.3390/educsci14091035
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
School tasks often include individual and collaborative activities supported by a wide variety of learning materials. These materials can elicit varied levels of attention and learning depending on the complexity (i.e., element interactivity level) and physical separation of the information elements in the study material. The aim of this study was to explore the potential effects of the element interactivity level (i.e., high vs. low) and split attention (i.e., integrated vs. separated information) on individual and collaborative learning. An experimental design was implemented with 192 high school learners, with 64 working individually and 128 in dyads. The results revealed that in tasks with high element interactivity and integrated information, individual students learned more than groups. However, separated information benefited groups more than individual learners. It is concluded that the benefits of individual and group learning are mediated by task element interactivity and the physical separation of information sources in the study material, and recommendations for education professionals are presented.
引用
收藏
页数:13
相关论文
共 55 条
[1]  
Ayres P., 2021, The Cambridge Handbook of Multimedia Learning, V3rd, P199, DOI DOI 10.1017/9781108894333.020
[2]   Working Memory: Theories, Models, and Controversies [J].
Baddeley, Alan .
ANNUAL REVIEW OF PSYCHOLOGY, VOL 63, 2012, 63 :1-29
[3]  
Butera F., 2019, Social psychology in action: Evidence-based interventions from theory to practice. pp, P111, DOI [DOI 10.1007/978-3-030-13788-5_8, 10.1007/978-3- 030-13788-5_8]
[4]  
Chandler P, 1996, APPL COGNITIVE PSYCH, V10, P151, DOI 10.1002/(SICI)1099-0720(199604)10:2<151::AID-ACP380>3.0.CO
[5]  
2-U
[6]   The effect of worked examples on learning solution steps and knowledge transfer [J].
Chen, Ouhao ;
Retnowati, Endah ;
Chan, BoBo Kai Yin ;
Kalyuga, Slava .
EDUCATIONAL PSYCHOLOGY, 2023, 43 (08) :914-928
[7]   A Cognitive Load Theory Approach to Defining and Measuring Task Complexity Through Element Interactivity [J].
Chen, Ouhao ;
Paas, Fred ;
Sweller, John .
EDUCATIONAL PSYCHOLOGY REVIEW, 2023, 35 (02)
[8]   The Expertise Reversal Effect is a Variant of the More General Element Interactivity Effect [J].
Chen, Ouhao ;
Kalyuga, Slava ;
Sweller, John .
EDUCATIONAL PSYCHOLOGY REVIEW, 2017, 29 (02) :393-405
[9]  
Cohen J., 1988, Statistical Power Analysis for the Behavioral Sciences, DOI 10.4324/9780203771587
[10]   CSsCL: the performance of collaborative learning [J].
Crook, Charles .
INTERNATIONAL JOURNAL OF COMPUTER-SUPPORTED COLLABORATIVE LEARNING, 2022, 17 (01) :169-183