Improving Fluid Intelligence through Training Working Memory

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Can we do ourselves smarter?

Fluid intelligence (Gf) is the ability to reason and to solve new problems autonomously from previously acquired knowledge. Gf is important for a wide range of cognitive tasks, and it is considered to be one of the most important factors in learning. There is a long history of research showing the improvement of Gf if trained. Moreover, research showed that gain in intelligence depends on the amount of training: the more training, the more increase in Gf. Thus, according to some studies, it is possible to improve fluid intelligence. However, other scientists insist that it is extremely difficult for people to go beyond a certain level of their reasoning and to improve their intellectual functioning. This goes together with the idea of fluid intelligence as a characteristic with a strong inherited factor that is resistant to training. The aim of this paper is to provide a brief overview of studies that showed improvement of intelligence after some intervention. The reviewed studies are divided into several groups: studies that used approaches that are focused on training of working memory (WM), and studies that involved other approaches, as well as research which go against increase of intelligence.

Introduction

The definition of intelligence has been a major source of debate. There seem to be as many definitions of intelligence as there are individuals asked to define the concept. One possible definition is that “general intelligence is actually a conglomeration of perhaps 100 abilities working together in various ways in different people to bring out different intelligences” (Plucker 2007). This theory of general intelligence originally was identified by Raymond Cattell and late...

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... Jaeggi, Martin Buschkuehl, John Jonides, and Walter J. Perrig March 18, 2008 (received for review February 7, 2008)

SWISS M E D W K LY 201 0 Improving intelligence: a literature review Mar tin

Buschkuehl, Susanne M. Jaeggi University of Michigan, Ann Arbor, US

http://www.sciencedirect.com/science/article/pii/S1747938X06000285#sec3.6

Working memory, fluid intelligence, and science learning

Kun Yuan, Jeffrey Steedle, Richard Shavelson, Alicia Alonzo1, Marily Oppezzo

School of Education, Stanford University, 485 Lasuen Mall, Stanford, CA 94305, USA

Received 16 January 2006; revised 24 August 2006; Accepted 28 August 2006. Available online 2 October 2006. Educational Research Review Volume 1, Issue 2, 2006, Pages 83-98

Using Mathematics to Improve Fluid Intelligence Vali Siada MARCH 2011 VOLUME 58, NUMBER 3 http://www.ams.org/notices/201103/rtx110300432p.pdf

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