Derald Walling
Texas Tech University
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Featured researches published by Derald Walling.
Roeper Review | 1992
Mark A. Kunkel; Bea Chapa; Greg Patterson; Derald Walling
Building on the foundation of a previous study (Galbraith, 1985) of the “eight great gripes” of gifted children and adolescents, this article describes qualitative perspectives on giftedness among predominantly seventh‐ and eighth‐grade students attending a summer enrichment program. Students responded in writing to a probe (i.e. “Whats it like to be gifted?”) designed to elicit their spontaneous perspectives on their experience of giftedness. Responses were compiled and analyzed as they relate to negative and positive perspectives on giftedness and to the needs of gifted children.
Roeper Review | 1991
Mark A. Kunkel; Evans W. Curry; Shelby K. Hildebrand; Derald Walling
Research on attrition or “drop‐out” is briefly summarized with particular attention to Tintos model of social and academic integration. An argument is made for theoretically based research on attrition among gifted adolescents. As a preliminary step, completion and performance data were examined from gifted seventh‐ and eighth‐grade students (n = 92) in an eight‐week summer mathematics enrichment program sponsored by the GTE Corporation. Findings are presented as they relate to attrition and performance patterns, and implications for gifted education and follow‐up are discussed.
International Journal of Mathematical Education in Science and Technology | 1990
Derald Walling; John T. White
This paper provides the motivation, goals, components, and eligibility requirements for a university summer program designed for high ability precollege students who have shown interest in a career in mathematics, science, or engineering. The paper details the results that Texas Tech University has experienced in running such a program for the past two summers.
Roeper Review | 1991
Mark A. Kunkel; Evans W. Curry; Shelby K. Hildebrand; Derald Walling
This article describes a summer enrichment program for gifted junior high students, identifies dilemmas inherent in the implementation of this and similar programs, and outlines a series of research projects intended to address some of these dilemmas. Implications of these research efforts are briefly discussed as they relate to gifted child education.
International Journal of Mathematical Education in Science and Technology | 1991
Michelle Ramsey; Derald Walling
This paper details the immediate results that a corporate gift of
International Journal of Mathematical Education in Science and Technology | 1985
Evans W. Curry; Derald Walling
600 000 had on a university summer programme designed for high‐ability pre‐college students.
Sociological Methods & Research | 1984
Derald Walling; H. Lawrence Hotchkiss; Evans W. Curry
This paper illustrates mathematical modeling (using differential equations) in psychophysics in order to gain theoretical improvement on a psychophysical model and, hence, possibly better analytical results.
International Journal of Mathematical Education in Science and Technology | 1991
Evans W. Curry; Shelby K. Hildebrand; Mark Kunkei; Derald Walling
An example is presented to illustrate potential problems of working with logarithmic transformations to linearize an intrinsically nonlinear power model. Recommendations to avoid the pitfalls identified herein are offered.
International Journal of Mathematical Education in Science and Technology | 1990
Margaret Street; Derald Walling
Completion and performance data from 92 high ability seventh and eighth grade students in an eight‐week summer programme conducted in 1989 and sponsored by the GTE Service Corporation are examined.
International Journal of Mathematical Education in Science and Technology | 1990
Paula McCoun; Kelvin Sharp; Derald Walling
The Gini Coefficient is a widely used index for measuring economic inequality [1‐5] as defined by a Lorenz curve. This paper illustrates an analytical approach to measuring economic inequality. This approach bypasses certain problems associated with the use of the Gini and affords the researcher the opportunity to more carefully define the differences between two populations.