scholarly journals The SMC Model: Identification of Artistically Gifted Students from Low Income Families

2012 ◽  
Vol 22 (1) ◽  
pp. 87-115
Author(s):  
Seon-Young Lee
2021 ◽  
pp. 001698622110245
Author(s):  
Hyeseong Lee ◽  
Marcia Gentry ◽  
Yukiko Maeda

The underrepresentation of students from low-income families and of culturally diverse students is a longstanding and pervasive problem in the field of gifted education. Teachers play an important role in equitably identifying and serving students in gifted education; therefore, the Having Opportunities Promotes Excellence (HOPE) Scale was used in this study with a sample of Korean elementary school teachers ( n = 55) and their students ( n = 1,157). Confirmatory factor analysis and multigroup confirmatory factor analysis results suggested the HOPE Scale shows equivalence of model form, factor loading, and factor variances across different income and ethnic groups. A follow-up interview with teachers ( n = 6) revealed they acknowledged the importance of using the HOPE Scale as an additional method for identifying gifted students; however, they indicated less confidence about rating gifted students’ social characteristics compared with academic components in the HOPE Scale.


2021 ◽  
Vol 11 (10) ◽  
pp. 578
Author(s):  
Susan O’Brien ◽  
Mary Ruth Coleman ◽  
Dorothy L. Schuller ◽  
Martha A. López ◽  
German Díaz

Gifted education today faces a significant challenge in reaching equity as well as excellence. This is reflected in the disproportionate underrepresentation of children from Black, Hispanic, Native, and low-income families. This pattern of underrepresentation within programs for students with gifts and talents is pervasive and pernicious and impacts gifted education programming across all 50 states in the United States of America. This article describes the efforts of Milwaukee Public Schools, a large urban school district in Wisconsin, to address the need for both equity and excellence within their gifted education programming. The U~STRARS~PLUS model formed the foundation for changing the culture of the schools from “at risk” to “at potential”. Dedicated leadership and the combination of securing external support, developing internal trust, and building capacity across the district were critical to creating a strength-based focus within the schools. While the journey is not over, the authors hope that others can learn from Milwaukee’s experiences.


2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.


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