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The fuzzy relationship of intelligence and problem solving in computer simulations

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

The fuzzy relationship of intelligence and problem solving in computer simulations. / Leutner, Detlev.
In: Computers in Human Behavior, Vol. 18, No. 6, 01.11.2002, p. 685-697.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Leutner, D 2002, 'The fuzzy relationship of intelligence and problem solving in computer simulations', Computers in Human Behavior, vol. 18, no. 6, pp. 685-697. https://doi.org/10.1016/S0747-5632(02)00024-9

APA

Leutner, D. (2002). The fuzzy relationship of intelligence and problem solving in computer simulations. Computers in Human Behavior, 18(6), 685-697. https://doi.org/10.1016/S0747-5632(02)00024-9

Vancouver

Leutner D. The fuzzy relationship of intelligence and problem solving in computer simulations. Computers in Human Behavior. 2002 Nov 1;18(6):685-697. doi: 10.1016/S0747-5632(02)00024-9

Bibtex

@article{9c626726b60d42d78424563b00445b71,
title = "The fuzzy relationship of intelligence and problem solving in computer simulations",
abstract = "Using the instructional computer simulation {"}Hunger in the Sahel{"}, two experiments were conducted concerning the moderating effect of domain knowledge on the correlation of intelligence and problem solving. Experiment 1 with N = 200 students implemented a between-subjects design, Experiment 2 with N = 28 young adults a within-subjects design with 10 repeated measures on problem solving. The results correspond to the Elshout-Raaheim hypothesis: With low domain knowledge, the correlation is low; with increasing knowledge, the correlation increases; with further increasing knowledge, the correlation decreases; finally, when the problem has become a simple task, the correlation is again low. The results are of practical and theoretical relevance for designing simulation-based learning environments and simulation-based tests for measuring intelligence and problem-solving ability.",
keywords = "Computer simulation, Problem solving, Test intelligence, Psychology",
author = "Detlev Leutner",
year = "2002",
month = nov,
day = "1",
doi = "10.1016/S0747-5632(02)00024-9",
language = "English",
volume = "18",
pages = "685--697",
journal = "Computers in Human Behavior",
issn = "0747-5632",
publisher = "Elsevier Ltd",
number = "6",

}

RIS

TY - JOUR

T1 - The fuzzy relationship of intelligence and problem solving in computer simulations

AU - Leutner, Detlev

PY - 2002/11/1

Y1 - 2002/11/1

N2 - Using the instructional computer simulation "Hunger in the Sahel", two experiments were conducted concerning the moderating effect of domain knowledge on the correlation of intelligence and problem solving. Experiment 1 with N = 200 students implemented a between-subjects design, Experiment 2 with N = 28 young adults a within-subjects design with 10 repeated measures on problem solving. The results correspond to the Elshout-Raaheim hypothesis: With low domain knowledge, the correlation is low; with increasing knowledge, the correlation increases; with further increasing knowledge, the correlation decreases; finally, when the problem has become a simple task, the correlation is again low. The results are of practical and theoretical relevance for designing simulation-based learning environments and simulation-based tests for measuring intelligence and problem-solving ability.

AB - Using the instructional computer simulation "Hunger in the Sahel", two experiments were conducted concerning the moderating effect of domain knowledge on the correlation of intelligence and problem solving. Experiment 1 with N = 200 students implemented a between-subjects design, Experiment 2 with N = 28 young adults a within-subjects design with 10 repeated measures on problem solving. The results correspond to the Elshout-Raaheim hypothesis: With low domain knowledge, the correlation is low; with increasing knowledge, the correlation increases; with further increasing knowledge, the correlation decreases; finally, when the problem has become a simple task, the correlation is again low. The results are of practical and theoretical relevance for designing simulation-based learning environments and simulation-based tests for measuring intelligence and problem-solving ability.

KW - Computer simulation

KW - Problem solving

KW - Test intelligence

KW - Psychology

UR - http://www.scopus.com/inward/record.url?scp=0036836569&partnerID=8YFLogxK

U2 - 10.1016/S0747-5632(02)00024-9

DO - 10.1016/S0747-5632(02)00024-9

M3 - Journal articles

AN - SCOPUS:0036836569

VL - 18

SP - 685

EP - 697

JO - Computers in Human Behavior

JF - Computers in Human Behavior

SN - 0747-5632

IS - 6

ER -

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