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1. A Sample of Gifted and Talented Educators' Attitudes about Academic Acceleration (EJ995874)

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Author(s):

Siegle, DelWilson, Hope E.Little, Catherine A.

Source:

Journal of Advanced Academics, v24 n1 p27-51 Feb 2013

Pub Date:

2013-02-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
Acceleration (Education)Rating ScalesUrban SchoolsAcademically GiftedRural SchoolsSuburban SchoolsRural Urban DifferencesTeacher AttitudesSocial InfluencesEmotional ExperienceStudent NeedsTeachersLongitudinal StudiesExtracurricular ActivitiesTeacher SurveysSchool PolicyParent AttitudesMeasures (Individuals)Focus Groups

Abstract:
Despite extensive research supporting its use, including the 2004 publication of "A Nation Deceived," acceleration is an underutilized strategy for meeting the academic needs of gifted and talented students. Parents' and educators' attitudes and beliefs about acceleration influence the extent to which it is implemented in schools. This study investigated gifted and talented educators' attitudes t Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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2. Reading Comprehension and Fluency Levels Ranges across Diverse Classrooms: The Need for Differentiated Reading Instruction and Content (EJ995872)

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Author(s):

Firmender, Janine M.Reis, Sally M.Sweeny, Sheelah M.

Source:

Gifted Child Quarterly, v57 n1 p3-14 Jan 2013

Pub Date:

2013-01-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
Academically GiftedReading AchievementReading InstructionElementary School StudentsReading ComprehensionReading FluencyMagnet SchoolsScoresTalentOral ReadingReading TestsIndividualized InstructionTeaching Methods

Abstract:
This research examined the range of reading fluency and comprehension scores of 1,149 students in five diverse elementary schools, including a gifted and talented magnet school. Results revealed a range in reading comprehension across all schools of 9.2 grade levels in Grade 3, 11.3 in Grade 4, and 11.6 in Grade 5. A similar wide range of oral reading fluency scores was found across all elementar Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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3. Gifted Students' Perceptions of Parenting Styles: Associations with Cognitive Ability, Sex, Race, and Age (EJ995871)

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Author(s):

Rudasill, Kathleen MoritzAdelson, Jill L.Callahan, Carolyn M.Houlihan, Deanna VogtKeizer, Benjamin M.

Source:

Gifted Child Quarterly, v57 n1 p15-24 Jan 2013

Pub Date:

2013-01-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
Academic AchievementAcademically GiftedCognitive AbilityStudent AttitudesMeasures (Individuals)Residential ProgramsChild RearingParenting StylesFactor AnalysisMultiple Regression AnalysisQuestionnairesAge DifferencesGender DifferencesRacial DifferencesSummer ProgramsPreadolescentsAdolescentsElementary School StudentsHigh School Students

Abstract:
Children whose parents are warm and responsive yet also set limits and have reasonable expectations for their children tend to have better outcomes than their peers whose parents show less warmth and responsiveness, have low expectations, or both. Parenting behavior is related to family race and children's sex, age, and cognitive ability. However, there is no work that examines how children's cog Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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4. Assessing the Growth of Gifted Students (EJ995870)

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Author(s):

McCoach, D. BetsyRambo, Karen E.Welsh, Megan

Source:

Gifted Child Quarterly, v57 n1 p56-67 Jan 2013

Pub Date:

2013-01-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
Academically GiftedMeasurement ObjectivesMeasurement TechniquesAchievement GainsModelsProgress MonitoringStatistical SurveysPerformance FactorsLongitudinal StudiesHierarchical Linear ModelingBest Practices

Abstract:
This Methodological Brief gives an overview of statistical methods used to gauge academic growth and discusses issues surrounding the measurement of growth in gifted populations. To illustrate some of these issues, we describe a growth model that examines differences in summer lag between gifted and nongifted students. We also provide recommendations for educators and researchers who are interest Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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5. An Investigation of Play: From the Voices of Fifth- and Sixth-Grade Talented and Gifted Students (EJ995869)

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Author(s):

Beisser, Sally RappGillespie, Catherine WilsonThacker, Valerie Marsh

Source:

Gifted Child Quarterly, v57 n1 p25-38 Jan 2013

Pub Date:

2013-01-00

Pub Type(s):

Journal Articles; Reports - Research; Tests/Questionnaires

Peer Reviewed:

Yes

Descriptors:
Academically GiftedStudent AttitudesPlayRural SchoolsFocus GroupsOnline SurveysTalentUrban SchoolsSuburban SchoolsSocializationBarriersAttention ControlLearning MotivationRetention (Psychology)TeamworkProblem SolvingCognitive DevelopmentSocial DevelopmentPhysical Development

Abstract:
The purpose of this study was to explore the concept of play through the eyes of talented and gifted (TAG) fifth- and sixth-grade students. Three focus groups consisting of fifth- and sixth-grade TAG students were conducted in one urban, one suburban, and one rural school district in the Midwest. Students were asked to describe the value of play in the cognitive, physical, and social domains. Add Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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6. Technology in Gifted Education: A Review of Best Practices and Empirical Research (EJ991843)

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Author(s):

Periathiruvadi, SitaRinn, Anne N.

Source:

Journal of Research on Technology in Education, v45 n2 p153-169 Win 2012-2013

Pub Date:

2013-00-00

Pub Type(s):

Journal Articles; Reports - Evaluative

Peer Reviewed:

Yes

Descriptors:
Academically GiftedEducational TechnologyBest PracticesTechnology Uses in EducationLiterature ReviewsTechnology IntegrationMeta Analysis

Abstract:
The article aims to explore the progress of technology use in gifted education and highlight the best practices and empirical research in this area. The literature on the use of technology with gifted students and their teachers has been extensive, with articles on best practices, but the empirical research in this area is still emerging. With the increasing interest and awareness about integrati Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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7. The Effects of Differentiated Instruction on Motivation and Engagement in Fifth-Grade Gifted Math and Music Students (ED541341)

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Author(s):

Martin, Merissa R.Pickett, Matt T.

Source:

Online Submission, Master of Arts Action Research Project, Saint Xavier University

Pub Date:

2013-05-00

Pub Type(s):

Dissertations/Theses; Tests/Questionnaires

Peer Reviewed:

Descriptors:
Academically GiftedStudent MotivationLearner EngagementIndividualized InstructionInterventionStudent AttitudesGrade 5Elementary School StudentsMathematics InstructionMusic EducationAction ResearchMusical InstrumentsSurveysCheck ListsStudent BehaviorGrades (Scholastic)Parent ParticipationBehavior ProblemsHomework

Abstract:
The purpose of this action research project report was to increase student motivation and engagement. There seemed to be an increasing disconnect between student potential and performance, especially among gifted math and beginning music students. Two teacher researchers carried out this research with 25 fifth-grade students at two different sites in a gifted math class and a beginning band class Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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8. The Path Leading to Differentiation: An Interview with Carol Tomlinson (EJ999743)

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Author(s):

Wu, Echo H.

Source:

Journal of Advanced Academics, v24 n2 p125-133 May 2013

Pub Date:

2013-05-00

Pub Type(s):

Journal Articles; Opinion Papers

Peer Reviewed:

Yes

Descriptors:
Academically GiftedInterviewsGeneral EducationTeaching MethodsIndividualized InstructionGroup InstructionGifted

Abstract:
The author interviewed Dr. Carol Tomlinson, who is a well-known academic scholar in gifted education. The interview focused on Dr. Tomlinson's work on differentiation, how she started, and what her suggestions for teachers are to differentiate instructions for gifted students in general education classrooms.

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9. Improving Groups Using the Lens of the Overachiever (EJ993609)

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Author(s):

Nelson, Trudi J.

Source:

Voices from the Middle, v20 n2 p16-21 Dec 2012

Pub Date:

2012-12-00

Pub Type(s):

Journal Articles; Reports - Descriptive

Peer Reviewed:

Yes

Descriptors:
Academically GiftedOverachievementCooperative LearningSurveysCooperationGifted

Abstract:
The potential benefits of collaboration often become overwhelmed with complaints of "freeloaders"--students who do not do their share of the work in the group but get the same grade. However, a survey of gifted students shows that they are likely to take on the bulk of the group's work, a situation that may not encourage group members to get involved. Guided by the surveys and teacher interviews, Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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10. Potential for Significant Reductions in Dropout Rates: Analysis of an Entire 3rd Grade State Cohort (EJ988634)

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Author(s):

Cratty, Dorothyjean

Source:

Economics of Education Review, v31 n5 p644-662 Oct 2012

Pub Date:

2012-10-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
At Risk StudentsDropoutsHigh School StudentsProbabilityDropout RateGrade 3Equal EducationCohort AnalysisDropout PreventionPredictive MeasurementPredictor VariablesAcademically GiftedResource AllocationEconomics

Abstract:
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to estimate benefits to the 15,737 students admitted to a Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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