Workshop on Technology Enhanced Learning in Nursing Education (NURSING)

Scope

Nurses are required to implement adequate clinical behaviors and possess a high-level of knowledge and skills to improve patients’ health outcomes and enhance community health-literacy levels. Current evidence highlights the potential power of technology-based educational systems, like simulation and blended learning models, in promoting better learning outcomes for students and professionals in the nursing field. In this context, Artificial Intelligence (AI) represents a key frontier in nursing education, enabling adaptive learning environments, AI-driven simulation scenarios, and advanced assessment strategies based on learners’ performance data. The integration of AI into technology-enhanced learning has the potential to strengthen clinical reasoning, decision-making, and the effective application of the nursing process across educational and clinical settings.

This workshop aims to share the best available knowledge about the application of technology-based systems into undergraduate and graduate nursing educational programs, as well as in the continuing educational programs of healthcare workers.  

Workshop topics have been grouped into the following three main discussion areas. First, topics on education in nursing academic programs aim to discuss the effects of simulation and other technology-based systems on learning outcomes of nursing students and nurses, including ethical and legal aspects. Secondly, topics on community-health educational programs aim to discuss the impact of technology in improving community health-literacy levels. Finally, the workshop intends to provide a complete overview of technology-based methods as useful tools to improve both learning and application of the nursing process in clinical settings. 
 

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Topics

The workshop welcomes submissions regarding the utilization of technology-based systems for learning improvement in the field of nursing, specifically dealing with:

• Traditional simulation methods (e.g., role-playing, standardized patient, part-task trainer)
• Computer based simulation technologies (e.g., Virtual Reality, Metaverse, Serious games)
• Software-based and web-based simulation
• High-fidelity simulation
• Simulated scenarios
• Impact of technology-based teaching methods on nursing students’ learning outcomes
• Impact of nursing learning outcomes on both patient safety and health outcomes
• Information Communication Technology (ICT)
• Training the trainers
• Interactive assessment
• Student engagement
• E-learning and e-education
• Impact of electronic systems for clinical documentation on learning of nursing process
• Impact of electronic health records using standardized taxonomies on learning of nursing process
• Blended learning models
• Technology-enhanced learning methods in community-health educational programs
• Health literacy and technology
• AI Driven Simulation Scenarios