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Updated: Jan 13, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Generation Z: Learners' Profiles and Teaching Challenges.

Shiva Shirazian¹, Mehdi Vatanpour², Pargol Guity³

¹Department of Oral Medicine, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.

Frontiers in Dentistry

|January 6, 2026

Summary

Understanding Generation Z is crucial for effective education. This generation, shaped by digital technology, learns differently, requiring adapted teaching strategies for optimal learning outcomes.

Keywords:

Digital Technology Habits Intergenerational Relations Learning

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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

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Published on: September 27, 2020

Area of Science:

Education
Psychology
Sociology

Background:

Generational differences impact learning.
Technological advancements accelerate change.
Recent generations exhibit unique characteristics.

Purpose of the Study:

Recognize Generation Z characteristics.
Develop effective teaching-learning processes for Generation Z.
Provide practical teaching method insights.

Main Methods:

Literature review of Generation Z characteristics.
Analysis of digital technology's influence on learning parameters.
Identification of effective pedagogical strategies.

Main Results:

Generation Z exhibits distinct learning parameters (focus, tendencies, strategies).
Digital technology significantly shapes Generation Z's learning.
Current teaching methods may not align with Generation Z's needs.

Conclusions:

Effective teaching requires understanding Generation Z's digital-native traits.
Adapting pedagogical approaches is essential for this generation.
Further research into Generation Z learning is recommended.