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Computer-Assisted Performance-Based Assessment for Mental Health: A Scoping Review
1School of Educational Technology, Faculty of Education, Beijing Normal University, Beijing, People's Republic of China.
Psych Journal
|February 27, 2026
Summary
Computer-assisted technology (CAT) enhances performance-based assessments (PBAs) for adolescent mental health. While research focuses on disorders, social-emotional development needs more attention for early identification.
Area of Science:
- Psychology
- Computer Science
- Education
Background:
- Adolescent mental health is crucial for development but faces global challenges.
- Traditional assessment methods for adolescent mental health lack objectivity and real-world applicability.
- Computer-assisted technology (CAT) integration into performance-based assessments (PBAs) offers improved objectivity and validity.
Purpose of the Study:
- To review and map the components, CAT applications, and scenario diversity in mental health PBAs for adolescents.
- To identify understudied areas in adolescent mental health assessment.
- To explore the potential of CAT in enhancing PBAs for mental health.
Main Methods:
- Systematic literature review following the PRISMA-ScR reporting standard.
- Analysis of 89 articles published between 2015 and 2025.
- Mapping of assessed mental health components, CAT functionalities, and PBA scenario types.
Main Results:
- Research predominantly focuses on mental disorders, with underrepresentation of social-emotional and adaptive developmental domains.
- CAT significantly improved PBAs via enhanced data analysis, acquisition, scenario creation, and tool digitization.
- Diverse PBA scenarios highlight adaptability for multidimensional mental health assessment.
Conclusions:
- Prioritizing PBAs for social-emotional and adaptive assessment is vital for early identification of adolescent mental health issues.
- Advancing predictive analytics and utilizing large language models can further enhance CAT's role in PBAs.
- Integrating validated scales into CAT-powered PBAs can improve assessment typicality and reliability.
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