Identifying Talent – Developing a More Effective and Inclusive Screening Process

Identifying Talent – Developing a More Effective and Inclusive Screening Process


Presenter: David Lohman, Ph.D., University of Iowa
Core Area: Identification & Assessment
Grade Level: Elementary & Secondary
Hours: 1

Most school districts screen students for possible inclusion in their talent-development programs. How effective are these screening methods at truly identifying talent? Delve into the world of identification to discover more effective and inclusive methods of recognizing gifted and talented students.

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© Texas Association for the Gifted & Talented, Austin, Texas 2020

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Students who score well on the screening test are considered for special educational programming and their needs, interests, and abilities are matched with the services that the school offers. But what about talented students who slip through the cracks of current screening methods. In this 1-hour course David Lohman, Ph.D., shares tools to design a screening program that avoids the twin pitfalls of failing to identify students who should be included or wrongly including students who do not need special services.

Dr. Lohman provides:

  • Examples of exemplary practices
  • The difference between identification and selection
  • Distinctions between “gifted” and “talented”
  • The elements of screening
  • Common pitfalls illustrated using the CogAT Form 7 Screening Form
This course is aligned with 2016 ODE Teacher Competencies e, f, g, and NAGC Teacher Preparation Standards 4.1, 4.2, and 4.3.

Dr. Lohman is Professor Emeritus in the College of Education at The University of Iowa. Prior to his career in academia, he worked as a chemist and as a teacher at the Montana School for the Deaf and Blind. Much of Dr. Lohman’s research focused on the general construct of academic intelligence – particularly its measurement and the use of ability profiles in adapting instruction to the needs of learners. He is the lead author of the Cognitive Abilities Test™ (CogAT®). He has been internationally recognized for his research on assessing cognitive abilities and helping teachers use this information to improve student learning.

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