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Effect of AI Chatbot-Assisted Versus Traditional Case-Based Learning on Clinical Reasoning in Occupational Therapy Students: A Study on Parkinson's Disease

NCT07045077 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 25

Last updated 2025-07-08

No results posted yet for this study

Summary

This study aims to examine whether using an artificial intelligence (AI) chatbot can enhance occupational therapy students' learning during a case-based activity focused on Parkinson's disease. The research compares two groups of students: one using traditional learning materials, and another using both traditional resources and a conversational AI chatbot. Students in both groups work in teams to analyze the same clinical case and propose assessment and treatment strategies for a hypothetical patient. The main purpose of the study is to evaluate whether the AI chatbot helps improve students' performance in three learning domains: cognitive (knowledge and understanding), affective (empathy and attitudes), and psychomotor (planning and action skills). Students' performance is assessed through a structured written examination. The hypothesis is that students who use the AI chatbot will achieve higher scores, especially in the cognitive and psychomotor domains, compared to those who rely on traditional methods only. The study also examines how students interact with the chatbot and whether they use it to support deeper clinical reasoning. By exploring the role of AI in occupational therapy education, this research seeks to inform future teaching strategies and support the thoughtful integration of digital tools in health professions training.

Conditions

  • Parkinson Disease
  • Occupational Therapy Students
  • Clinical Reasoning
  • Neurologic Rehabilitation

Interventions

BEHAVIORAL

AI Chatbot-Assisted Case-Based Learning

Participants in this intervention used a conversational AI chatbot integrated into a case-based learning activity focused on Parkinson's disease. The chatbot simulated a virtual client and responded to student questions in natural language. Students used the chatbot to gather occupational history, clarify symptoms, and explore intervention planning options during a structured 90-minute session.

BEHAVIORAL

Traditional Case-Based Learning with Standard Materials

Participants in this intervention completed the same Parkinson's disease case analysis using only traditional educational materials, such as lecture notes, textbooks, and class handouts. No digital or AI-based tool was used. The session was instructor-guided and lasted 90 minutes, during which students worked collaboratively to assess the case and develop intervention plans.

Sponsors & Collaborators

  • Ceyhun Türkmen

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
20 Years
Max Age
23 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2025-07-02
Completion
2025-07-03

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07045077 on ClinicalTrials.gov