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The development of self in children is deeply rooted in social interactions, mainly through stages of play and structured games. These stages, outlined by sociologist George Herbert Mead, illustrate how children progressively learn to understand and adopt social roles, forming a cohesive sense of self.The Play Stage: Imitation and Simple Role-TakingIn the early years of childhood, the play stage is characterized by imitative behavior, where children engage in role-playing based on familiar...
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Intergenerational collaborative dynamics in digital game design learning: A sequential analysis of communication

Ya-Ling Wang1, Chih-Chi Liu2, Chih-Chen Kuo3

  • 1Department of Adult and Continuing Education, National Taiwan Normal University, Taipei, Taiwan.

Acta Psychologica
|October 25, 2025
PubMed
Summary
This summary is machine-generated.

High-performing older and younger adults in digital game design showed balanced communication. Low-performing groups experienced withdrawal and conflict, highlighting the need for effective intergenerational communication strategies in learning.

Keywords:
Communication patternsDigital gameIntergenerational collaborationIntergenerational learningSequential analysis

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Area of Science:

  • Digital learning environments
  • Human-computer interaction
  • Collaborative learning

Background:

  • Investigates intergenerational communication dynamics in digital game design learning.
  • Addresses the gap in research on older and younger adult interactions in digital settings.
  • Utilizes progressive sequential analysis to study communication patterns.

Purpose of the Study:

  • Examine intergenerational communication differences between high- and low-performance groups.
  • Analyze collaborative dynamics in a digital game design context.
  • Identify factors influencing group success in intergenerational learning.

Main Methods:

  • Comparative analysis of high- and low-performance groups.
  • Sequential analysis of communication patterns.
  • Inclusion of young adults (mean age 21.22) and older adults (mean age 62.33).

Main Results:

  • High-performance groups displayed balanced power dynamics and direct exchanges.
  • Low-performance groups exhibited digressions and conflict-related withdrawal, especially among older adults.
  • Older adults in high-performance groups evolved from reluctance to responsiveness.

Conclusions:

  • Intergenerational collaboration effectiveness is linked to communication dynamics.
  • Effective communication strategies are crucial for enhancing participation in digital learning.
  • Findings inform the design of inclusive digital learning environments for diverse age groups.