How effective is instructional support for learning with computer simulations?

被引:27
作者
Eckhardt, Marc [1 ]
Urhahne, Detlef [2 ]
Conrad, Olaf [3 ]
Harms, Ute [1 ,4 ]
机构
[1] Univ Kiel, Dept Biol Educ, IPN Leibniz Inst Sci & Math Educ, D-24098 Kiel, Germany
[2] Univ Halle Wittenberg, Dept Educ Psychol, Wittenberg, Germany
[3] Univ Hamburg, Dept Earth Sci, Hamburg, Germany
[4] Linkoping Univ, ISV Dept Social & Welf Studies, Linkoping, Sweden
关键词
Computer simulation; Instructional support; Data interpretation; Self-regulated learning; Cognitive load; Secondary school students; COGNITIVE-LOAD; SELF-EXPLANATIONS; DISCOVERY; STUDENTS; INQUIRY; ENVIRONMENT; FEEDBACK; FOOD; REFLECTION; EXAMPLES;
D O I
10.1007/s11251-012-9220-y
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The study examined the effects of two different instructional interventions as support for scientific discovery learning using computer simulations. In two well-known categories of difficulty, data interpretation and self-regulation, instructional interventions for learning with computer simulations on the topic "ecosystem water" were developed and tested using a sample of 124 eighth graders in science classes. The results demonstrate the effectiveness of instructional support for domain-specific factual, conceptual, and procedural knowledge acquisition. Students who received either only instructional support for data interpretation or only for self-regulation achieved the highest learning outcomes. However, a combination of instructional support for data interpretation and self-regulation seemed detrimental for knowledge acquisition. Students who received instructional interventions for both data interpretation and self-regulation also showed the highest values of perceived cognitive load. High cognitive load could be a reason for why a combination of particular instructional interventions does not lead to the expected positive learning outcomes.
引用
收藏
页码:105 / 124
页数:20
相关论文
共 66 条
[1]  
Anderson L., 2009, TAXONOMY LEARNING TE
[2]  
[Anonymous], 2005, The Cambridge handbook of multimedia learning, DOI [DOI 10.1017/CBO9780511816819.016, 10.1017/CBO9781139547369.017, DOI 10.1017/CBO9781139547369]
[3]  
[Anonymous], 1996, NAT SCI ED STAND
[4]  
Atkinson RK, 2000, REV EDUC RES, V70, P181, DOI 10.2307/1170661
[5]   The effects of feedback protocol on self-regulated learning in a web-based worked example learning environment [J].
Biesinger, Kevin ;
Crippen, Kent .
COMPUTERS & EDUCATION, 2010, 55 (04) :1470-1482
[6]   Reconsidering simulations in science education at a distance: Features of effective use [J].
Blake, C. ;
Scanlon, E. .
JOURNAL OF COMPUTER ASSISTED LEARNING, 2007, 23 (06) :491-502
[7]  
BRUNER JS, 1961, HARVARD EDUC REV, V31, P21
[8]   ROLE OF CONCEPTUAL KNOWLEDGE IN MATHEMATICAL PROCEDURAL LEARNING [J].
BYRNES, JP ;
WASIK, BA .
DEVELOPMENTAL PSYCHOLOGY, 1991, 27 (05) :777-786
[9]  
Chi M.T. H., 1989, Learning from examples via self-explanations
[10]   SELF-EXPLANATIONS - HOW STUDENTS STUDY AND USE EXAMPLES IN LEARNING TO SOLVE PROBLEMS [J].
CHI, MTH ;
BASSOK, M ;
LEWIS, MW ;
REIMANN, P ;
GLASER, R .
COGNITIVE SCIENCE, 1989, 13 (02) :145-182