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Enhancing professional communication training in higher education through artificial intelligence(AI)-integrated
Gunther Meinlschmidt1,2, Sara Koc3, Emma Boerner3
1Department of Psychology, Clinical Psychology and Psychotherapy - Methods and Approaches, Trier University, Universitaetsring 15, Trier, 54296, Germany. meinlschmidt@uni-trier.de.
BMC Medical Education
|May 30, 2025
Summary
This study evaluates an artificial intelligence (AI) training protocol to improve communication skills for psychology students. Findings will show AI
Area of Science:
- Educational Technology
- Psychology Training
- Artificial Intelligence in Education
Background:
- Traditional communication skills training for healthcare professionals is limited by scalability and accessibility.
- Generative artificial intelligence (AI) offers potential for realistic simulations and personalized feedback in training.
- This study protocol outlines a cluster-randomized controlled trial to assess AI's efficacy in enhancing psychology students' communication competencies.
Purpose of the Study:
- To evaluate the effectiveness of an AI-supported training protocol using generative AI exercises for psychology students.
- To assess the impact of AI-enhanced training on communication competencies, self-efficacy, motivation, and user experience.
- To determine the feasibility and usability of integrating AI tools into higher education communication skills curricula.
Main Methods:
- A cluster-randomized controlled trial involving psychology students in communication skill seminars.
- Intervention group receives AI-enhanced exercises alongside traditional teaching (TAU); control group receives TAU only.
- Primary outcome: change in communication skills; secondary outcomes: self-efficacy, motivation, AI attitudes, user experience, course evaluations, and feasibility.
Main Results:
- This section is not applicable as the abstract describes a study protocol.
- The study is designed to collect data via online surveys and the university's teaching platform.
- Statistical analyses will utilize mixed models to evaluate the intervention's impact on communication skills and other outcomes.
Conclusions:
- This trial will provide empirical evidence on the effectiveness and feasibility of AI integration in higher education communication skills training.
- Successful AI integration could revolutionize education by offering scalable, accessible, and personalized learning experiences.
- Findings may inform the broader application of AI in educational and professional training, emphasizing ethical considerations and responsible use.
Keywords:
Artificial Intelligence (AI)Blended learningChat botCommunication skillsGenerative Artificial Intelligence (GAI)Health educationRandomised Controlled Trial (RCT)Teaching of psychologyTraining
