08 Interactive Design Assessment Framework for Digital Learning Environments: A Comprehensive Evaluation System for Children's Cognitive-Behavioral Engagement Patterns

Authors

  • Hua Chen Tongde Hospital of Zhejiang Provinc,Hangzhou,China
  • Weixing Ying Tongde Hospital of Zhejiang Provinc,Hangzhou,China

Keywords:

Interactive design assessment, digital learning environments, Human-computer interaction, cognitive-behavioral engagement, educational technology design, design innovation methodology

Abstract

The proliferation of digital learning environments has fundamentally transformed educational design paradigms, necessitating innovative assessment frameworks that capture the multidimensional nature of children's cognitive-behavioral engagement patterns. This study introduces the Interactive Design Assessment Framework (IDAF), a novel composite measurement system  that  evaluates  the  effectiveness  of  digital learning interface  designs  through  comprehensive  analysis  of  user  interaction   patterns,  cognitive  load  distribution,  and  behavioral  engagement  metrics.  Building upon design innovation principles and human-computer interaction theories, IDAF integrates four core  design  evaluation  domains:  interface  accessibility  design, interaction frequency patterns, content design effectiveness, and collaborative engagement facilitation. Through  rigorous  psychometric  validation  involving  184 children aged 6-16 years across  diverse  learning  contexts,  this  research  demonstrates that IDAF serves as a robust predictor of cognitive performance outcomes  in  digital learning environments. The framework revealed significant correlations  between optimized interface design elements and enhanced cognitive function scores, with particular emphasis on attention regulation (r = 0.67, p <  0.001),  working  memory efficiency (r = 0.58, p < 0.001), and executive function development (r = 0.52, p < 0.01). Furthermore, the study identified critical design factors including visual hierarchy optimization, interaction affordance clarity, and adaptive feedback mechanisms as primary determinants of learning effectiveness. These findings contribute to the advancement of evidence-based design methodologies in educational technology, providing designers and educators with empirically  validated  tools  for  creating cognitively supportive digital learning environments that promote optimal child development outcomes.

Additional Files

Published

2025-07-14

How to Cite

Chen, H., & Ying, W. (2025). 08 Interactive Design Assessment Framework for Digital Learning Environments: A Comprehensive Evaluation System for Children’s Cognitive-Behavioral Engagement Patterns. Arts and Sciences, 25(1), 1–23. Retrieved from https://artscijournal.com/article/view/9