Assessing young children's national identity through human-computer interaction: A game-based assessment task.

Area of Science:

• Child Development
• Human-Computer Interaction
• Educational Psychology

Background:

• National identity is crucial for child development and national future.
• Traditional assessments (questionnaires, interviews) for children's national identity are often inaccurate, dull, and time-consuming.
• Scientific and interactive methods are needed to accurately assess children's national identity.

Purpose of the Study:

• To investigate the suitability of a specifically developed game-based assessment for measuring young children's national identity.
• To evaluate the validity and reliability of this novel assessment tool.

Main Methods:

• Development of a game-based assessment tool for evaluating national identity in young children.
• Utilized exploratory factor analysis (EFA) to identify key components of national identity assessed by the game.
• Employed confirmatory factor analysis (CFA) to validate the proposed three-factor model.
• Assessed internal consistency, split-half reliability, and test-retest reliability.

Main Results:

• The game-based assessment exhibited good item discrimination.
• EFA revealed three core aspects: national cognition mastery, national emotion engagement, and national behavior tendency.
• CFA confirmed that the three-factor model provided a good fit to the data.
• Reliability analyses indicated acceptable internal consistency, split-half, and test-retest reliability.

Conclusions:

• The developed game-based assessment is a valid and reliable tool for measuring young children's national identity.
• This approach offers a more engaging and effective alternative to traditional assessment methods.
• Findings support the use of human-computer interaction in child measurement, specifically for assessing national identity.