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Feasibility of an AI-Enhanced Platform for Training Beginners in Narrative Therapy

  • Chitat Chan*
  • , Muhammad Adnan
  • , Jianrui Wu
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

This pilot study investigates the feasibility of an AI-enhanced, self-paced Narrative Therapy (NT) training platform designed to address barriers such as cost, availability, and geographic constraints for beginners. The objectives were to evaluate AI-simulated conversations as a learning tool, examine the reliability of AI-based assessments, and assess participant outcomes. A single-group pretest–posttest design was implemented with 35 participants over one week. The platform incorporated AI-generated rubrics, self-report measures, and qualitative feedback. Results indicated that the AI assessments demonstrated substantial reliability and validity. Participants showed moderate to high alignment with NT principles, reported above-average confidence in using NT, showed greater awareness of their strengths, and expressed positive views regarding the AI simulations and feedback. The discussion emphasizes the potential of generative AI in facilitating dialogic learning, supporting reliable skill assessment, and enabling scalable delivery. Findings suggest that this approach may democratize access to NT training and could be extended to other therapeutic modalities through multimodal AI integration.
Original languageEnglish
Number of pages32
JournalJournal of Technology in Human Services
DOIs
Publication statusE-pub ahead of print - 27 Apr 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education

User-Defined Keywords

  • Generative AI
  • digital education
  • narrative therapy
  • training platform

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