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Related Concept Videos

Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
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Critical attributes of NCIS include:
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Nursing Implementation01:15

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Implementation is the execution of the nursing care plan developed during the planning phase.
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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation01:24

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Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about...
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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Related Experiment Video

Updated: Jan 7, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
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A Generative AI Virtual Teaching Assistant for Graduate Nursing Informatics Education: Design, Implementation, and

Cory Stephens1, Cheryl A Fisher, Charlotte Seckman

  • 1Department of Organizational Systems and Adult Health University of Maryland School of Nursing, Baltimore, MD.

Computers, Informatics, Nursing : CIN
|December 18, 2025
PubMed
Summary
This summary is machine-generated.

A custom generative AI tool enhanced nursing education by supporting students with academic tasks and offering 24/7 assistance. While promoting autonomy, its impact on academic performance was supplemental, improving faculty efficiency and student engagement.

Keywords:
Artificial intelligenceEducational technologyNursing educationNursing informaticsVirtual teaching assistant

Related Experiment Videos

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Area of Science:

  • Nursing Informatics
  • Artificial Intelligence in Education

Background:

  • Nursing informatics and generative AI are crucial for competency-based nursing education.
  • Existing educational models require innovative tools for personalized support and efficiency.

Purpose of the Study:

  • To develop and evaluate a custom generative AI tool, the Joint Artificial Intelligence Model in Education (Jaimie), for doctoral nursing students.
  • To assess Jaimie's impact on academic writing, assignment clarification, and practicum guidance.

Main Methods:

  • Jaimie was designed using the Technological Pedagogical Content Knowledge framework and the SAMR model, aligned with AACN Essentials.
  • The AI model was trained on course-specific materials and piloted in a graduate nursing informatics course.
  • Evaluation involved learning management system data, student performance metrics, and qualitative feedback.

Main Results:

  • The AI tool fostered learner autonomy and saw frequent use outside of class hours.
  • Usage showed a limited correlation with academic performance, indicating a supplemental role.
  • Faculty reported reduced frequently asked questions and improved instructional efficiency; students appreciated the AI's accessibility and nonjudgmental support.

Conclusions:

  • The study demonstrates the feasibility of integrating generative AI into nursing education.
  • The developed AI tool offers a replicable model for enhancing nursing curricula and supporting student learning.
  • Nursing informatics and AI can be leveraged to improve educational quality, flexibility, and efficiency.