Concept Learning Through Similarities and Differences: An Individual Differences Approach

2013 ◽  
Author(s):  
Faria Sana ◽  
Danielle Allen ◽  
Christopher Teeter ◽  
Joseph Kim
Keyword(s):  
Individual Differences ◽  
Concept Learning ◽  
Similarities And Differences

Individual differences in concept learning

2006 ◽  
Author(s):  
Matt J. Robbins ◽  
Mark A. McDaniel
Keyword(s):  
Individual Differences ◽  
Concept Learning

First words and prosodic structures

2019 ◽  
pp. 93-121
Author(s):  
Marilyn May Vihman
Keyword(s):  
Individual Differences ◽  
American English ◽  
Good Evidence ◽  
British English ◽  
Ambient Language ◽  
Word Forms ◽  
Similarities And Differences ◽  
Prosodic Structures ◽  
Language Influence ◽  
First Words

This chapter presents data from four to eight children each learning one of six languages, British English, Estonian, Finnish, French, Italian, and Welsh. As a basis for cross-linguistic comparison the chapter first considers similarities and differences in the target forms of the first words of these children. It then presents the children’s later prosodic structures, including American English in the comparison. The chapter considers the development changes apparent from comparing the first words with the later structures and quantifies the extent of variegation in first word targets and later child word forms. In concluding, it is found that common resources are strongly in evidence in the first words but by the later point there is good evidence of ambient language influence as well as of individual differences within the groups.

An Analysis of Human Emotions by Utilizing Wavelet Features

2019 ◽  
Vol 10 (4) ◽  
pp. 46-63
Author(s):  
Soo-Yeon Ji ◽  
Bong Keun Jeong ◽  
Dong Hyun Jeong
Keyword(s):  
Support Vector Machine ◽  
Logistic Regression ◽  
Wavelet Transform ◽  
Individual Differences ◽  
Visual Analysis ◽  
Support Vector ◽  
Wavelet Features ◽  
Similarities And Differences ◽  
Human Emotions ◽  
Innovative Techniques

Human emotion recognition is critical to people managing their stress and emotions. Although many innovative techniques have been proposed to recognize human emotions, it is still challenging to understand the emotions due to individual differences in the diversity of emotions. This article focuses on analyzing the emotions computationally. In detail, a wavelet transform technique is utilized to extract significant features and find patterns in an emotion dataset. With the extracted features, both classification and visual analysis are performed. For the classification, Logistic Regression, C4.5, and Support Vector Machine are used. Visualization approaches are also utilized to represent similarities and differences among the emotion patterns. From the analysis, the authors found that the proposed method shows an improvement in identifying the differences among the emotions.

scholarly journals Coda: Creativity in psychological research versus in linguistics – Same but different?

2020 ◽  
Author(s):  
Selina Weiss ◽  
Oliver Wilhelm
Keyword(s):  
Individual Differences ◽  
Latent Semantic Analysis ◽  
Semantic Analysis ◽  
Psychological Research ◽  
General Process ◽  
Interdisciplinary Work ◽  
Verbal Creativity ◽  
Societal Relevance ◽  
Creativity Research ◽  
Similarities And Differences

Understanding the very nature of creativity is a hot topic in research across various disciplines and has profound societal relevance. In this contribution, we discuss verbal creativity by highlighting its definition, psy-chometric measurement, and relations with other personality dispositions. We relate psychological research with findings from linguistics presented in this issue and depict similarities and differences between both approaches. More specifically, we relate the linguistic terminology of F-creativity to flu-ency and flexibility, whereas we identify E-creativity as akin to originality. We propose latent semantic analysis as a possible approach for evaluating originality and compare this approach with more commonly applied human ratings. Based on contributions in this issue, we discuss creativity as a domain-general process that is (e.g., in applied arts) often driven by the recombination of mental elements. Lastly, we propose several intelligence and personality dispositions as determinants of individual differences in creativity. We conclude that creativity research in linguistic and psycholo-gy has many communalities and interdisciplinary work bears strong prom-ises for the future.

scholarly journals Individual differences in information processing during concept learning

1969 ◽  
Vol 14 (6) ◽  
pp. 287-288 ◽  
Author(s):  
Leonard I. Jacobson ◽  
Jim Millham ◽  
Stephen E. Berger
Keyword(s):  
Information Processing ◽  
Individual Differences ◽  
Concept Learning

Experimental Methodology and Theory-Building in Mathematical Psychology

1971 ◽  
Vol 28 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Luiz F. S. Natalicio ◽  
Ronald V. Kidd
Keyword(s):  
Individual Differences ◽  
Mathematical Models ◽  
Concept Learning ◽  
Theory Building ◽  
Mathematical Psychology ◽  
Experimental Methodology

An inquiry is made into the directions that theory-building in psychology might be taking with respect to the new trend in experimental methodology generated by mathematical models, concept-learning studies, and studies in individual differences. The implications of nomological theories, informal theories, and modeling activities with respect to this trend are analyzed in general, and an integrative description is developed. Particular attention is given to the problems presented by the use of isomorphism as the implicit justification for this methodology. This paper attempts to outline some basic issues in theory-building which seem in need of clarification.

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