Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
User Manual
Have you forgotten your password?
  1. Home
  2. Faculty of Computer Science and Engineering
  3. Faculty of Computer Science and Engineering: Conference papers
  4. Differences in cognitive ability assessment results between Millennial and Generation Z cohorts
Details

Differences in cognitive ability assessment results between Millennial and Generation Z cohorts

Date Issued
2022
Author(s)
Pesovski, Ivica
Abstract
The Flynn effect is a well-known phenomenon that
has been documented by researchers in a variety of developed
countries around the world. This phenomenon refers to the fact
that people’s cognitive test scores are increasing by about 3
points every decade. Many researchers have documented this
spanning several decades since it was first defined by James
Flynn in the 1980s. According to recent studies, this upward
trend in cognitive assessment scores has reached a halt in
certain nations and may possibly be reversing, a phenomenon
known as the negative Flynn effect. The goal of this study is
to see if the Flynn effect can be detected across generations
in a developing country like RN Macedonia. The data for this
study came from a competitive test for obtaining a scholarship
for work-related courses. The test consisted of 40 questions
that evaluated the participants in a variety of areas. The test
was completed by 2700 participants. The key research groups
include two generations: millennial and generation-z. Multiple
cognitive areas were evaluated, including arithmetic reasoning,
logical thinking, visual reasoning, attention to detail, abstract
thinking, spatial and verbal reasoning, and more. The findings
prove that cognitive test scores of people in RN Macedonia are
improving, with a notable difference in average scores between
the two generation groups in every field studied and a 1.79
points difference in collective intelligence results.
Subjects

Flynn effect, intelli...

File(s)
Loading...
Thumbnail Image
Name

CIIT_2022_5.pdf

Size

260.71 KB

Format

Adobe PDF

Checksum

(MD5):d279ba7f5efd9370b8be47e6d29e7c5f

⠀

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify