scholarly journals Specifics of Interrelations among Emotional, Personal and Intellectual Characteristics in Preschool Children: Data Mining

2020 ◽  
Author(s):  
Elena Slavutskaya ◽  
Natalya Vostretsova ◽  
Evgeni Nikolaev ◽  
Anna Zakharova ◽  
Svetlana Petunova
Keyword(s):  
Data Mining ◽  
Preschool Children ◽  
Intellectual Characteristics

ESEA Title III Project Design for Language-Handicapped Kindergarten and Preschool Children

1973 ◽  
Vol 4 (4) ◽  
pp. 174-181
Author(s):  
Marilyn J. Click ◽  
Jerrie K. Ueberle ◽  
Charles E. George
Keyword(s):  
Preschool Children ◽  
Project Design ◽  
Title Iii

The Elicitation of Vocal Responses From Preschool Children

1993 ◽  
Vol 24 (3) ◽  
pp. 146-150 ◽  
Author(s):  
Elizabeth Hyne Champley ◽  
Moya L. Andrews
Keyword(s):  
Preschool Children ◽  
Assessment Protocol ◽  
Vocal Responses

This article discusses the construction of tasks used to elicit vocal responses from preschool children. Procedures to elicit valid and reliable responses are proposed, and a sample assessment protocol is presented.

The Preschool Stuttering Screen for Health Care Professionals

2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Differential Diagnosis ◽  
Preschool Children ◽  
Health Care Professionals ◽  
Healthcare Professionals ◽  
Evidence Based ◽  
Developmental Profile

Healthcare professionals require a thorough understanding of stuttering since they frequently play an important role in the identification and differential diagnosis of stuttering for preschool children. This paper introduces The Preschool Stuttering Screen for Healthcare Professionals (PSSHP) which highlights risk factors identified in the literature as being associated with persistent stuttering. By integrating the results of the checklist with a child’s developmental profile, healthcare professionals can make better-informed, evidence-based decisions for their patients.

Sharing Expository Texts with Preschool Children in Special Education

2015 ◽  
Vol 22 (3) ◽  
pp. 93-102 ◽  
Author(s):  
Allison Breit-Smith ◽  
Jamie Busch ◽  
Ying Guo
Keyword(s):  
Special Education ◽  
Preschool Children ◽  
Language Impairment ◽  
Listening Comprehension ◽  
Expository Texts ◽  
Speech Language Pathologists ◽  
Narrative Texts ◽  
Preschool Special Education ◽  
Limited Availability

Although a general limited availability of expository texts currently exists in preschool special education classrooms, expository texts offer speech-language pathologists (SLPs) a rich context for addressing the language goals of preschool children with language impairment on their caseloads. Thus, this article highlights the differences between expository and narrative texts and describes how SLPs might use expository texts for targeting preschool children's goals related to listening comprehension, vocabulary, and syntactic relationships.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

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