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Blended Teaching Model with AI for Nursing Students

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What is being tested

A blended online and offline teaching model for internal medicine nursing practice based on generative artificial intelligence

Behavioral
Who is being recruted

From 18 to 25 Years
+4 Eligibility Criteria
See all eligibility criteria
How is the trial designed

Other Study

Interventional
Study Start: January 2026
See protocol details

Summary

Principal SponsorHengxu Wang
Study Contacthengxu wang
Last updated: January 28, 2026
Sourced from a government-validated database.Claim as a partner

Study start date: January 1, 2026

Actual date on which the first participant was enrolled.

This study aims to explore a new way of teaching nursing students about internal medicine using a mix of online and in-person methods, enhanced with generative artificial intelligence. Designed for undergraduate nursing students, the study will test whether this blended teaching approach can improve learning outcomes compared to traditional teaching methods. The new model uses advanced technology, such as a virtual simulation platform and AI-generated clinical cases, to provide a more realistic and interactive learning experience. This approach is important as it may better prepare nursing students for real-world medical situations, enhancing their decision-making and problem-solving skills. In the study, students from the 2024 nursing cohort will experience the new blended learning model, while the 2023 cohort will continue with traditional teaching methods. Participants in the experimental group will engage with AI-enhanced online resources and participate in card-based and scenario-based exercises offline. The effectiveness of this teaching model will be measured using a combination of exams, satisfaction surveys, and interviews. Students' performance will be evaluated on both theoretical knowledge and practical skills, with a focus on their ability to analyze cases and handle emergency situations. The study also includes feedback from teachers and experts to refine the teaching approach further.

Official TitleA Study Protocol for Implementing a Blended Online and Offline Teaching Model Based on Generative Artificial Intelligence in the Practical Teaching of Internal Medicine Nursing: a Mixed-methods Study
NCT07189611
Principal SponsorHengxu Wang
Study Contacthengxu wang
Last updated: January 28, 2026
Sourced from a government-validated database.Claim as a partner

Protocol

This section provides details of the study plan, including how the study is designed and what the study is measuring.
Design Details

600 patients to be enrolled

Total number of participants that the clinical trial aims to recruit.

Other Study

Some studies explore topics that don't fall into a specific category. These might include innovative research, new technologies, or emerging healthcare areas.



Eligibility

Researchers look for people who fit a certain description, called eligibility criteria: person's general health condition or prior treatments.
Criteria

Any sex

Biological sex of participants that are eligible to enroll.

From 18 to 25 Years

Range of ages for which participants are eligible to join.

Healthy volunteers allowed

If individuals who are healthy and do not have the condition being studied can participate.

Criteria

2 inclusion criteria required to participate
Nursing major students;

Four-year undergraduate students.

2 exclusion criteria prevent from participating
Students who drop out midway;

Students whose absences accumulate to exceed 30% of the total class hours.

Study Plan

Find out more about all the medication administered in this study, their detailed description and what they involve.
Treatment Groups
Study Objectives

One single intervention group is designated in this study

This study does not include a placebo group 

Treatment Groups

Group I

Experimental
(2) Experimental Group Teaching Implementation Process: a blended online and offline teaching model based on generative artificial intelligence ① Pre-class Preview: Students join the teaching QQ group and Learning Terminal group before class, complete the learning of online resources on the Learning Terminal platform, and perform virtual simulation experiments. ② In-class Implementation: Teaching is conducted in small groups. Each class is divided into 4 small groups, with 4-5 students forming one team for card-based desktop exercise teaching and scenario simulation teaching, each session lasting 2 class hours.③ Post-class Review: Students use generative AI (Deepseek) for knowledge consolidation and to access new technologies and research advancements related to the course content.

Study Objectives

Primary Objectives

Secondary Objectives

Study Centers

These are the hospitals, clinics, or research facilities where the trial is being conducted. You can find the location closest to you and its status.
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