Measuring the impact of technological scaffolding interventions on micro-level processes of self-regulated workplace learning

被引:50
作者
Siadaty, Melody [1 ]
Gasevic, Dragan [2 ,3 ]
Hatala, Marek [1 ]
机构
[1] Simon Fraser Univ, Sch Interact Arts & Technol, 250-13450 102 Ave, Surrey, BC V3T 0A3, Canada
[2] Univ Edinburgh, Moray House Sch Educ, Holyrood Rd, Edinburgh EH8 8AQ, Midlothian, Scotland
[3] Univ Edinburgh, Sch Informat, 10 Crichton St, Edinburgh EH8 9LE, Midlothian, Scotland
基金
加拿大自然科学与工程研究理事会;
关键词
Self-regulated learning; Micro-level processes; Learning scaffolding; Learning analytics; Workplace learning; Learning technology; KNOWLEDGE SHARING VISIBILITY; SOFTWARE TECHNOLOGIES; MAPPING DEVELOPMENT; CENTRALITY MEASURES; FRAMEWORK; PERSPECTIVES; COMMUNITIES; MANAGEMENT; EDUCATION; BELIEFS;
D O I
10.1016/j.chb.2016.02.025
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This paper reports on the findings of an exploratory study in which the effects of technological scaffolding interventions on micro-level processes of self-regulated learning in the workplace were investigated. Empirical research in the workplace has been much less represented than in formal education. Even less research is available that aimed to identify which technological scaffolding interventions, out of those available in a learning environment, had the highest influence on specific micro-level process of self-regulated learning. This paper reports on the findings of a case study conducted in the naturalistic settings of two organizations in Europe (N = 53) for the period of two months. Trace data about the events of engagement with the technological scaffolding interventions and micro-level processes of self regulated learning were collected. Both a transition graph based analysis of the temporal dependencies of the collected events and multiple linear regression analyses showed that an intervention that promoted social awareness had consistently the highest effect on all the micro-level processes used in the study. This intervention was followed by the intervention that offered system-generated recommendations about learning paths, learning activities and knowledge assets to stimulate engagement into the micro-level processes within the forethought or preparatory phase of self-regulated learning. These findings suggest that both the social and organizational contexts should be taken into account when developing interventions aimed at supporting the forethought and engagement phases. Further discussion about research, methodological, and learning technology design implications is provided. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:469 / 482
页数:14
相关论文
共 103 条
[11]   Implementing Web 2.0 technologies in higher education: A collective case study [J].
Bennett, Sue ;
Bishop, Andrea ;
Dalgarno, Barney ;
Waycott, Jenny ;
Kennedy, Gregor .
COMPUTERS & EDUCATION, 2012, 59 (02) :524-534
[12]   Self-Regulated Learning: Beliefs, Techniques, and Illusions [J].
Bjork, Robert A. ;
Dunlosky, John ;
Kornell, Nate .
ANNUAL REVIEW OF PSYCHOLOGY, VOL 64, 2013, 64 :417-+
[13]   How far have we moved toward the integration of theory and practice in self-regulation? [J].
Boekaerts, Monique ;
Cascallar, Eduardo .
EDUCATIONAL PSYCHOLOGY REVIEW, 2006, 18 (03) :199-210
[14]   Network Analysis in the Social Sciences [J].
Borgatti, Stephen P. ;
Mehra, Ajay ;
Brass, Daniel J. ;
Labianca, Giuseppe .
SCIENCE, 2009, 323 (5916) :892-895
[15]  
Cairns L., 2011, The SAGE Handbook of Workplace Learning, P3, DOI [10.4135/9781446200940, DOI 10.4135/9781446200940]
[16]  
Carneiro R., 2007, HIGHER ED, V17
[17]  
Chen C. S., 2002, Information Technology, Learning, and Performance Journal, V20, P11
[18]  
Clarebout G., 2013, International Handbook of Metacognition and Learning Technologies. No. 28 in Springer International Handbooks of Education, P187, DOI [DOI 10.1007/978-1-4419-5546-313, 10.1007/978-1-4419-5546-313]
[19]   Assessing Self-Regulation as a Cyclical, Context-Specific Phenomenon: Overview and Analysis of SRL Microanalytic Protocols [J].
Cleary, Timothy J. ;
Callan, Gregory L. ;
Zimmerman, Barry J. .
EDUCATION RESEARCH INTERNATIONAL, 2012, 2012
[20]  
Cohen J, 2013, Statistical power analysis for the behavioral sciences, DOI [10.4324/9780203771587, DOI 10.4324/9780203771587]