Monitoring and depth of strategy use in computer-based learning environments for science and history

被引:33
作者
Deekens, Victor M. [1 ]
Greene, Jeffrey A. [1 ]
Lobczowski, Nikki G. [1 ]
机构
[1] Univ North Carolina Chapel Hill, Chapel Hill, NC USA
关键词
monitoring; strategy use; metacognition; self-regulated learning; think-aloud protocol; SELF-REGULATION; METACOGNITION; ACCOUNT; CONTEXT; DEEP;
D O I
10.1111/bjep.12174
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
BackgroundSelf-regulated learning (SRL) models position metacognitive monitoring as central to SRL processing and predictive of student learning outcomes (Winne & Hadwin, 2008; Zimmerman, 2000). A body of research evidence also indicates that depth of strategy use, ranging from surface to deep processing, is predictive of learning performance. AimsIn this study, we investigated the relationships among the frequency of metacognitive monitoring and the utilization of deep and surface-level strategies, and the connections between these SRL processes and learning outcomes across two academic domains, science and history. SampleThis was a secondary data analysis of two studies. The first study sample was 170 undergraduate students from a University in the south-eastern United States. The second study sample consisted of 40 US high school students in the same area. MethodsWe collected think-aloud protocol SRL and knowledge measure data and conducted both structural equationmodelling and path analysis to investigate our research questions. ResultsFindings showed across both studies and two distinct academic domains, students who enacted more frequent monitoring also enacted more frequent deep strategies resulting in better performance on academic evaluations. ConclusionsThese findings suggest the importance of measuring not only what depth of strategies learners use, but also the degree to which they monitor their learning. Attention to both is needed in research and practice.
引用
收藏
页码:63 / 79
页数:17
相关论文
共 51 条
[1]   Rethinking the Use of Tests: A Meta-Analysis of Practice Testing [J].
Adesope, Olusola O. ;
Trevisan, Dominic A. ;
Sundararajan, Narayankripa .
REVIEW OF EDUCATIONAL RESEARCH, 2017, 87 (03) :659-701
[2]   SUPERIMPOSING A SITUATION-SPECIFIC AND DOMAIN-SPECIFIC PERSPECTIVE ON AN ACCOUNT OF SELF-REGULATED LEARNING [J].
ALEXANDER, PA .
EDUCATIONAL PSYCHOLOGIST, 1995, 30 (04) :189-193
[3]   Calibration: What is it and why it matters? An introduction to the special issue on calibrating calibration [J].
Alexander, Patricia A. .
LEARNING AND INSTRUCTION, 2013, 24 :1-3
[4]  
Alexander PA, 2011, EDUC PSYCHOL HANDB, P393
[5]   Multiple-documents literacy: Strategic processing, source awareness, and argumentation when reading multiple conflicting documents [J].
Anmarkrud, Oistein ;
Braten, Ivar ;
Stromso, Helge I. .
LEARNING AND INDIVIDUAL DIFFERENCES, 2014, 30 :64-76
[6]   Adaptive human scaffolding facilitates adolescents' self-regulated learning with hypermedia [J].
Azevedo, R ;
Cromley, JG ;
Winters, FI ;
Moos, DC ;
Greene, JA .
INSTRUCTIONAL SCIENCE, 2005, 33 (5-6) :381-412
[7]   Does adaptive scaffolding facilitate students' ability to regulate their learning with hypermedia? [J].
Azevedo, R ;
Cromley, JG ;
Seibert, D .
CONTEMPORARY EDUCATIONAL PSYCHOLOGY, 2004, 29 (03) :344-370
[8]  
Azevedo R., 2018, Handbook of self-regulation of learning and performance, V2nd, P254
[9]   Spontaneous strategy use in children with autism spectrum disorder: the roles of metamemory and language skills [J].
Bebko, James M. ;
Rhee, Thomas ;
McMorris, Carly A. ;
Ncube, Busisiwe L. .
FRONTIERS IN PSYCHOLOGY, 2015, 6
[10]   Addressing complexities in self-regulated learning: a focus on contextual factors, contingencies, and dynamic relations [J].
Ben-Eliyahu, Adar ;
Bernacki, Matthew L. .
METACOGNITION AND LEARNING, 2015, 10 (01) :1-13