gifted education programs
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2021 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Douglas G Wren

Point of view:  I am a cisgender, White male in my sixties.  I retired recently after working with children in a professional capacity since the mid-1970s.  My first career involved organizing and managing youth sports programs for public recreation departments.  I began my second career as an elementary school teacher in the privileged white neighborhood where I grew up near Atlanta, Georgia.  There were no African American students at any of the public schools I attended.  By the time I took a position in the central office after teaching for 14 years, Black students comprised 77% of the county’s 98,000 students (Anderson & Smith-Hunt, 2005).  I spent my last six years in the classroom teaching fifth graders and serving as the school’s gifted liaison teacher.  In the latter role, I administered tests to students to determine if they were eligible for the “gifted” label.  At that time, I also taught an assessment course to teachers who were seeking a gifted add-on endorsement to their teaching certificates.  I recently retired from a large school district in a different state after working as an educational measurement and assessment specialist for 12 years.  Value:  Numerous educational policies and procedures in the United States benefit children from privileged families over their traditionally underserved counterparts, which include students of color and low-income students.  This piece describes a public school district’s inequitable practices related to its program for gifted students, practices that are not uncommon in many American school districts.  “Education is one of the best ways to address systemic inequities, but education systems in the US seem to be increasingly subject to criticism that they are unable to change and promote equity” (Cheville, 2018, p. 1).  Despite their inherent resistance to change, educational agencies must be made aware of discriminatory policies and procedures.  Stakeholders must then hold policy makers and educational leaders to account.  As James hanged until it is faced” (1962, p. 38). Summary:  Gifted education programs in public schools comprise mainly middle-class and upper-middle-class students of European and Asian descent.  Students from low socioeconomic groups, African American students, Latinx students, and Indigenous American students continue to be underrepresented in gifted programs, despite the fact that this inequity was brought to light many years ago (Ford, 1998).  Given our nation’s long history of overt and covert racism, it is not surprising that the manner by which students are identified for gifted services is systemically entrenched and at the heart of the problem.  Most states have mandates or provide guidance to local school districts regarding identification criteria; however, very few of the measurement instruments and methods used to evaluate of children for gifted services are effective at facilitating equal representation of all groups in gifted education programs.  This piece examines one school district’s guidelines used to identify students for gifted services, including admittance to its prestigious school for gifted children.  Because the guidelines are typical of practices employed by many other school districts, the information contained herein is generalizable to a larger audience. 


Author(s):  
Balogh László

Három évtizeddel ezelőtt jelentős változások kezdődtek a hazai tehetséggondozásban. A tanulmány első részében ennek főbb társadalmi és tehetségpedagógiai okait elemzi a szerző. Ezt követően arról olvashatunk, hogy mi jellemzi napjainkban az egyéni tehetségfejlesztő programokat pedagógiai és pszichológiai szempontból, miben kell még fejlődnünk. A szerző bemutat egy általa készített új folyamatmodellt, amely szempontokat ad a rendszerszerű egyéni fejlesztő programok kidolgozásához. A harmadik fejezetben az utóbbi tíz év állam által finanszírozott átfogó nemzeti tehetséggondozó programjairól kapunk képet, azok eredményeivel együtt.Thirty years ago important changes emerged in gifted education in Hungary. In the first part of the present study the author analyses the main reasons of it in the society and in the official system of gifted education. In the second part we can read about the individual developmental programs of the gifted education: what we have to do to develop on a higher level in this work? The author presents a new process-modell, made by himself which gives points of views to plan and to realize systematical individual gifted developmental programs. Finally we get picture of the „big gifted education programs” – financed by the Hungarian State last ten years – and about the main results of these programs.


2021 ◽  
Author(s):  
Angela Novak ◽  
Katie Lewis

The Four Zone Professional Learning Model is a practical, comprehensive approach to striving towards equity through professional learning within gifted education programs. Grounded in equity literacy and funds of knowledge frameworks, and in best practices in culturally responsive gifted professional learning, the zones address the knowledge and skills necessary for proficient teachers of the gifted and address the process of systemic change. The model was designed and developed over several years utilizing the plan-study-do-act action research model; this article discusses the methodological evolution of the model, the research and theoretical frameworks in which it is grounded, and future implications.


2020 ◽  
Vol 102 (4) ◽  
pp. 4-4
Author(s):  
Rafael Heller

Gifted education programs have left out students from marginalized backgrounds, but not for any educationally sound reason. More often, they get left out because spots in these programs are limited, and families with resources are able to fight to secure those spots for their kids, Rafael Heller explains. As the authors in this issue of Kappan suggest, it would be far better to expand the opportunities available.


Author(s):  
Ian Davidson ◽  
Peter B. Walker

Most applications of machine intelligence have focused on demonstrating crystallized intelligence. Crystallized intelligence relies on accessing problem-specific knowledge, skills and experience stored in long term memory. In this paper, we challenge the AI community to design AIs to completely take tests of fluid intelligence which assess the ability to solve novel problems using problem-independent solving skills. Tests of fluid intelligence such as the NNAT are used extensively by schools to determine entry into gifted education programs. We explain the differences between crystallized and fluid intelligence, the importance and capabilities of machines demonstrating fluid intelligence and pose several challenges to the AI community, including that a machine taking such a test would be considered gifted by school districts in the state of California. Importantly, we show existing work on seemingly related fields such as transfer, zero-shot, life-long and meta learning (in their current form) are not directly capable of demonstrating fluid intelligence but instead are task-transductive mechanisms.


2019 ◽  
Author(s):  
Scott J. Peters ◽  
Matthew McBee

Scholars and practitioners within gifted and talented education have devoted substantial effort to understanding and mitigating the disproportional representation of students from certain racial / ethnic, income, language, and disability groups. In mitigating this underrepresentation, most research has focused on the actual identification or evaluation criteria, with comparatively little research considering how the screening phase might be manipulated in order to facilitate the proportional identification of underrepresented groups. This paper uses numerical methods to evaluate if, and under what conditions, modified screening criteria can be used as a way to increase the representation of traditionally underrepresented groups in gifted education programs. The results show that this intervention has only a modest effect on reducing disproportionality. It can only have an impact when the identification process is poorly-designed at baseline.


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