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Gabriele Morganti; Alexandra Lascu; Gennaro Apollaro; Laura Pantanella; Mario Esposito; Alberto Grossi; Bruno Ruscello – Sport, Education and Society, 2024
Talent identification and development systems (TIDS) adopt a deterministic perspective (i.e. athletes' future state/performances can be predicted by observations of their initial state/performance), which encourages early identification and specialisation in sport. In this framework, the main aim of sport systems is to enhance predictability and…
Descriptors: Talent Identification, Talent Development, Athletics, Athletes
Dayana Amala Jothi Antony; Savarimuthu Arulandu; Satyanarayana Parayitam – Learning Organization, 2024
Purpose: This study aims to investigate the relationship between talent management, organizational commitment and turnover intention. The moderating role of gender and experience in relationships was explored. Design/methodology/approach: A conceptual model was developed, and relationships were studied by collecting data from 392 faculty members…
Descriptors: Foreign Countries, Gender Differences, Experience, Talent Development
Dante D. Dixson; Leah Jansen; Ersie-Anastasia Gentzis; Frank C. Worrell – High Ability Studies, 2024
In this study, the relationship between clusters of hope and a psychosocial profile of academic talent development is examined in a sample of 466 academically gifted adolescents. First, cluster analysis is leveraged to examine whether interpretable three- and four-cluster hope solutions can be found in the sample. Second, differences among a group…
Descriptors: Academically Gifted, Adolescents, Predictor Variables, Student Characteristics
Linda J. Sax; Kaitlyn N. Stormes; Maxx F. Pereyra – ACM Transactions on Computing Education, 2025
To cultivate more computing talent (including more diverse talent), it is important to understand how college students experience their computing courses and if such experiences vary based on students' gender and racial/ethnic identities. In this paper, we focus on course modality to understand whether taking courses in-person, online, or a hybrid…
Descriptors: Computer Science Education, Electronic Learning, Online Courses, Delivery Systems
Szabó, János – Higher Education Studies, 2019
Many articles claim that talent management is a very important aspect of higher education. Despite of this, the studies, which investigate this topic empirically, are very rare. The Hungarian higher education talent management focuses mainly on academic-, scientific aspect of talent. So, the main purpose of talent-management is the academic…
Descriptors: Foreign Countries, Academically Gifted, Higher Education, College Students
Subotnik, Rena F.; Worrell, Frank C.; Olszewski-Kubilius, Paula – Gifted Child Quarterly, 2017
In 2011, Subotnik, Olszewski-Kubilius, and Worrell proposed a conceptual model for talent development applicable to all domains. Although grounded in available psychological research, significant questions remain regarding practical applications of each tenet of the model. In this article, we highlight a method of implementing the model's focus on…
Descriptors: Talent Development, Screening Tests, Mathematics Skills, Ability
Al Hajjat, Adel Tawfeeq – International Education Studies, 2017
The aim of this study is to recognize the level of career success for talented students who are graduates from programs of talented individuals in Jubilee School in Amman city and pioneering center for talented individuals in Salt city. The sample of the study includes (162) graduates from the mentioned programs. Also the study aimed to know the…
Descriptors: Talent, Success, Career Development, Career Readiness
McCoach, D. Betsy; Yu, Huihui; Gottfried, Allen W.; Gottfried, Adele Eskeles – High Ability Studies, 2017
The Fullerton Longitudinal Study offers a unique opportunity to model the stability of intelligence and achievement and their relations from elementary through secondary school. Using latent variable modeling, we fit a cross-lagged panel model to examine the relations between intelligence and achievement in two academic domains: mathematics and…
Descriptors: Longitudinal Studies, Talent Development, Cognitive Ability, Academic Achievement
Wai, Jonathan; Allen, Jeff – Gifted Child Quarterly, 2019
We examined 482,418 students who took the ACT in the seventh grade and again in high school, taking an exploratory analytic approach to examine academic growth trends from 1996 to 2017. Predictors included sociodemographics, interests, high school (HS) characteristics, HS coursework and GPA, and extracurriculars, which explained 25% of the…
Descriptors: Talent Development, Predictor Variables, Achievement Gains, Secondary School Students

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