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TalentTiles : A New Descriptive Talent Identification Instrument Based on Teachers’ Ratings
Author(s) -
Klein Balázs,
Fodor Szilvia
Publication year - 2019
Publication title -
new directions for child and adolescent development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.628
H-Index - 59
eISSN - 1534-8687
pISSN - 1520-3247
DOI - 10.1002/cad.20317
Subject(s) - psychology , identification (biology) , descriptive statistics , applied psychology , mathematics education , social psychology , statistics , mathematics , botany , biology
Abstract Talent identification based on multiple criteria is a common way of considering students for gifted education services. As part of a nationwide talent identification program led by UNK (New Generation Centre, Hungary of Talents Program, 2016–2020), we developed an online rating tool with which teachers could indicate the talent areas of their 5th grade students. Through several iterations—involving the translation, application, and analysis of Renzulli's Scales for Rating the Behavioral Characteristics of Superior Students questionnaire and a custom‐made normative questionnaire—we developed a matrix‐style competency rating instrument called TalentTiles. The primary aim of the instrument is to collect more realistic and reliable teacher‐ratings on students. The instrument takes a very short time—less than 2 minutes per student—to complete, focuses on the behavioral characteristics, measures school‐related areas, addresses general competencies (e.g., ability, motivation) in a domain‐specific way and has low average inter‐item correlations. After the first pilot test TalentTiles seems to be an innovative and user friendly way of collecting teachers’ opinions about school‐related gifted behavior.