Social Pedagogy and Liberal Egalitarian Compensatory Programs: The Case of Head Start

Using Head Start as an example of a compensatory social program based on a liberal egalitarian view of justice, this paper shows how all such programs are fundamentally flawed. In spite of any good intentions, by creating a discourse of deficiency and attempting amelioration through segregation this approach contains the seeds of its own failure. And, indeed, Head Start has floundered since its inception. That there is real need is clear; however, a new way forward is essential. We propose a model, based on social pedagogy, that takes seriously and respectfully the lifeworld of the children and families involved, and works cooperatively to find a way forward for everyone instead of imposing an externally-driven system response to an inadequately understood lifeworld. In addition, this reconceptualization must move beyond the exclusiveness of compensatory programs to inclusiveness of all children and families. This approach offers hope both for a more just social world in general based on deliberative justice as well as attaining goals of student achievement and development.

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Talk and Play/Jugando Hablando: Evaluating an early Head Start enhancement program for Latino children and families

PsycEXTRA Dataset ◽

10.1037/e584752012-023 ◽

2010 ◽

Author(s):

Joy Kennedy ◽

Margaret Caspe ◽

Marlene Aranda-Gillman ◽

Erica Quezada ◽

Andrew Seltzer

Keyword(s):

Head Start ◽

Early Head Start ◽

Latino Children ◽

Children And Families

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Compacting the description of a time-dependent multivariable system and its multivariable driver by reducing the state vectors to aggregate scalars: the Earth's solar-wind-driven magnetosphere

Nonlinear Processes in Geophysics ◽

10.5194/npg-26-429-2019 ◽

2019 ◽

Vol 26 (4) ◽

pp. 429-443 ◽

Cited By ~ 1

Author(s):

Joseph E. Borovsky ◽

Adnane Osmane

Keyword(s):

Solar Wind ◽

State Vector ◽

Complexity Analysis ◽

Low Noise ◽

Time Dependent ◽

Permutation Entropy ◽

System Response ◽

System A ◽

Driven System ◽

Time Dependent System

Abstract. Using the solar-wind-driven magnetosphere–ionosphere–thermosphere system, a methodology is developed to reduce a state-vector description of a time-dependent driven system to a composite scalar picture of the activity in the system. The technique uses canonical correlation analysis to reduce the time-dependent system and driver state vectors to time-dependent system and driver scalars, with the scalars describing the response in the system that is most-closely related to the driver. This reduced description has advantages: low noise, high prediction efficiency, linearity in the described system response to the driver, and compactness. The methodology identifies independent modes of reaction of a system to its driver. The analysis of the magnetospheric system is demonstrated. Using autocorrelation analysis, Jensen–Shannon complexity analysis, and permutation-entropy analysis the properties of the derived aggregate scalars are assessed and a new mode of reaction of the magnetosphere to the solar wind is found. This state-vector-reduction technique may be useful for other multivariable systems driven by multiple inputs.

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Open Discussion of Promising Interventions for Supporting the Mental Health of Children and Families in Head Start—From the Classroom to the Community

NHSA Dialog ◽

10.1207/s19309325nhsa0202_7 ◽

1999 ◽

Vol 2 (2) ◽

pp. 266-271

Keyword(s):

Mental Health ◽

Head Start ◽

Children And Families ◽

Open Discussion

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Social Pedagogy: What Questions Can We Ask About Its Value and Effectiveness?

Children Australia ◽

10.1375/jcas.36.4.187 ◽

2011 ◽

Vol 36 (4) ◽

pp. 187-198 ◽

Cited By ~ 7

Author(s):

Claire Cameron

Keyword(s):

Young People ◽

Professional Practice ◽

Cultural Context ◽

Children And Families ◽

Public Care ◽

The United Kingdom ◽

Social Pedagogy ◽

The Social ◽

The Uk ◽

Cross National

Social pedagogy is a field of professional practice associated with the care and education of young children, support of young people, and with family support that has an established place in many continental European countries. It has attracted attention in the United Kingdom (UK) for its potential relevance to the policy ambition of improving the generally poor educational and social outcomes for young people in public care. In this article, I discuss some issues arising from the task of establishing the value, or effectiveness, of the social pedagogic approach. Using findings from cross-national studies, I argue that there are various problems with measuring the ‘effectiveness’ of social pedagogy, but that in countries where social pedagogy is well established and supported by a policy and cultural context, its role in supporting children and families is highly valued. I conclude by considering some implications for the introduction of social pedagogy into the UK.

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How Head Start Has Responded to the Changing Needs of Children and Families in Poverty

NHSA Dialog ◽

10.1207/s19309325nhsa0201_8 ◽

1999 ◽

Vol 2 (1) ◽

pp. 45-54 ◽

Cited By ~ 1

Author(s):

Michael Lopez ◽

Louisa Tarullo

Keyword(s):

Head Start ◽

Children And Families

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Model Based Temperature Control in RTP Yielding ±0.1 °C accuracy on A 1000 °C, 2 second, 100 °C/s Spike Anneal

MRS Proceedings ◽

10.1557/proc-525-109 ◽

1998 ◽

Vol 525 ◽

Cited By ~ 3

Author(s):

Peter Vandenabeele ◽

Wayne Renken

Keyword(s):

Differential Equations ◽

Temperature Control ◽

Control Method ◽

Nonlinear Differential Equations ◽

System Response ◽

Model Based Control ◽

First Order ◽

Model Based ◽

Measured System ◽

Spike Anneal

ABSTRACTA Model Based Control method is presented for accurate control of RTP systems. The model uses 4 states: lamp filament temperature, wafer temperature, quartz temperature and TC temperature. A set of 4 first order, nonlinear differential equations describes the model. Feedback is achieved by updating the model, based on a comparison between actual (measured) system response and modeled system response.

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A multi-objective evolutionary algorithm-based soft computing model for educational data mining

Asian Association of Open Universities Journal ◽

10.1108/aaouj-01-2017-0012 ◽

2017 ◽

Vol 12 (1) ◽

pp. 106-123

Author(s):

Choo Jun Tan ◽

Ting Yee Lim ◽

Chin Wei Bong ◽

Teik Kooi Liew

Keyword(s):

Student Achievement ◽

Evolutionary Algorithm ◽

Soft Computing ◽

Real World ◽

Classification Accuracy ◽

Content Type ◽

Computing Model ◽

Model Based ◽

Proposed Model

Purpose The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities as classifier of student achievement. Subsequently, the results are transformed into useful information that may help educator in designing better learning instructions geared towards higher student achievement. Design/methodology/approach A soft computing model based on MOEA is proposed. It is tested on benchmark data pertaining to student activities and achievement obtained from the University of California at Irvine machine learning repository. Additional, a real-world case study in a distance learning institution, namely, Wawasan Open University in Malaysia has been conducted. The case study involves a total of 46 courses collected over 24 consecutive weeks with students across the entire regions in Malaysia and worldwide. Findings The proposed model obtains high classification accuracy rates at reduced number of features used. These results are transformed into useful information for the educational institution in our case study in an effort to improve student achievement. Whether benchmark or real-world case study, the proposed model successfully reduced the number features used by at least 48 per cent while achieving higher classification accuracy. Originality/value A soft computing model based on MOEA, namely, MmGA coupled with a DT-based classifier, in handling educational data is proposed.

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System identification and a model-based control strategy of motor driven system with high order flexible manipulator

Industrial Robot the international journal of robotics research and application ◽

10.1108/ir-01-2019-0012 ◽

2019 ◽

Vol 46 (5) ◽

pp. 672-681 ◽

Cited By ~ 1

Author(s):

Youshuang Ding ◽

Xi Xiao ◽

Xuanrui Huang ◽

Jiexiang Sun

Keyword(s):

System Identification ◽

Dynamic Response ◽

Notch Filter ◽

High Order ◽

Flexible Manipulator ◽

Identification Algorithm ◽

Content Type ◽

Model Based ◽

Driven System ◽

High Dynamic

Purpose This paper aims to propose a novel system identification and resonance suppression strategy for motor-driven system with high-order flexible manipulator. Design/methodology/approach In this paper, first, a unified mathematical model is proposed to describe both the flexible joints and the flexible link system. Then to suppress the resonance brought by the system flexibility, a model based high-order notch filter controller is proposed. To get the true value of the parameters of the high-order flexible manipulator system, a fuzzy-Kalman filter-based two-step system identification algorithm is proposed. Findings Compared to the traditional system identification algorithm, the proposed two-step system identification algorithm can accurately identify the unknown parameters of the high order flexible manipulator system with high dynamic response. The performance of the two-step system identification algorithm and the model-based high-order notch filter is verified via simulation and experimental results. Originality/value The proposed system identification method can identify the system parameters with both high accuracy and high dynamic response. With the proposed system identification and model-based controller, the positioning accuracy of the flexible manipulator can be greatly improved.

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Teacher-Child Racial/Ethnic Match and Parental Engagement With Head Start

American Educational Research Journal ◽

10.3102/0002831219899356 ◽

2020 ◽

Vol 57 (5) ◽

pp. 2132-2174 ◽

Cited By ~ 1

Author(s):

Anna J. Markowitz ◽

Daphna Bassok ◽

Jason A. Grissom

Keyword(s):

Head Start ◽

Parental Involvement ◽

Educational Outcomes ◽

Parental Engagement ◽

Children And Families ◽

Ethnic Match ◽

Hispanic Families ◽

Using Data ◽

The Relationship ◽

Racial Ethnic

Parental engagement is central to Head Start’s two-generation mission. Drawing on research linking teacher-child racial/ethnic match to educational outcomes, the present study explores whether teacher-child match increases parental involvement in Head Start activities designed to support children and families. Using data from the 2006 and 2009 waves of the Head Start Family and Child Experiences Survey, we estimate the relationship between teacher-child racial/ethnic match and parental involvement both across and within Head Start centers. Findings suggest that match enhances parental engagement and decreases student absences, particularly among Hispanic families, suggesting that family engagement may be one potential mechanism by which racial/ethnic match improves educational outcomes. Findings also have implications for policies that reduce the diversity of the Head Start workforce.

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