Please use this identifier to cite or link to this item: doi:10.22028/D291-39110
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Title: Assessing intelligence without intelligence tests : Future perspectives
Author(s): Koch, Marco
Becker, Nicolas
Spinath, Frank M.
Greiff, Samuel
Language: English
Title: Intelligence
Volume: 89
Publisher/Platform: Elsevier
Year of Publication: 2021
DDC notations: 150 Psychology
Publikation type: Journal Article
Abstract: Intelligence is one of the most important psychological constructs and influences many decisions. Unsurprisingly, a large number of measurement instruments are available. However, conceptual development related to intelligence has been stagnant for many years despite recent technological trends that would enable new approaches to assessing human intelligence. One such approach would be to develop intelligence tests in virtual-reality scenarios, enabling researchers to observe how people interact with problems to solve them. Furthermore, artificial intelligence and machine learning could be used to gain even more insights from test data or use data arising from people's everyday lives to predict intelligence. Endeavors to assess intelligence without tests may eventually also lead to approaches using physiological variables related to the brain to make predictions. This article proposes several visions of plausible future developments in intelligence assessment over the coming decades and examines potential problems that might arise with these new methods.
DOI of the first publication: 10.1016/j.intell.2021.101596
URL of the first publication: https://www.sciencedirect.com/science/article/abs/pii/S0160289621000805
Link to this record: urn:nbn:de:bsz:291--ds-391101
hdl:20.500.11880/35264
http://dx.doi.org/10.22028/D291-39110
ISSN: 0160-2896
Date of registration: 21-Feb-2023
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Psychologie
Professorship: HW - Prof. Dr. Frank Spinath
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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