Development of an Artificial Intelligence Teaching Assistant System for Undergraduate Nursing Students: A Field...

Area of Science:

• Educational Technology
• Artificial Intelligence in Education
• Nursing Education

Background:

• Student engagement and motivation in online or class discussions can be challenging.
• Artificial intelligence (AI) offers potential to enhance active learning, student engagement, motivation, and educational outcomes.
• Developing and evaluating AI-driven tools is crucial for modernizing educational practices.

Purpose of the Study:

• To develop an Artificial Intelligence-Teaching Assistant System.
• To test the usability of this AI system with undergraduate nursing students.
• To explore student perceptions of the AI system's effectiveness and areas for improvement.

Main Methods:

• A field-testing study design using a mixed-method approach.
• Quantitative data collected via validated usability questionnaires.
• Qualitative data gathered through focus group interviews with 21 undergraduate nursing students.

Main Results:

• The Artificial Intelligence-Teaching Assistant System was found to be user-friendly.
• Four key themes emerged from student feedback: functionality, feasibility, artificial unintelligence, and suggested learning modalities.
• Identified areas for enhancement include system functions, user interface, and content.

Conclusions:

• The developed AI system shows promise for supporting active learning in nursing education.
• Usability testing indicates a positive reception, but further refinements are necessary for optimal implementation.
• Student feedback provides valuable insights for future iterations of AI-powered educational tools.