Medical Education Research (no specific disease target)
Conditions
Interventions
AI-assisted teaching intervention group:Adopt a comprehensive teaching intervention model including AI online learning system for auxiliary study, virtual simulation experiment teaching, intelligent e
Traditional teaching control group:Only adopt conventional traditional teaching mode including offline classroom teaching and physical laboratory operation, without AI-related auxiliary teaching inter
Sponsors
Shandong Second Medical University
Eligibility
Sex/Gender
All
Age
18 Years to 25 Years
Inclusion criteria
Inclusion criteria: 1.Undergraduate students majoring in Health Inspection and Quarantine; 2.Normally enrolled in the course of Virology Laboratory Testing, able to fully participate in course study, offline experimental operation and unified final assessment; 3.Voluntarily participate in this teaching research and cooperate with relevant data collection during the course.
Exclusion criteria
Exclusion criteria: 1.Excessive absence from class, failing to complete the whole teaching process and final examination; 2.Being deferred from examination, absent from examination or retaking the course, unable to participate in synchronous unified performance evaluation; 3.Refuse to cooperate with research data collection subjectively, or withdraw from the course and research project midway.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Final comprehensive examination score of Virological Laboratory Testing course; | — |
Secondary
| Measure | Time frame |
|---|---|
| Score of Student Feedback Questionnaire for AI-Driven Teaching Model; | — |
Countries
China
Contacts
Public ContactNiu Guoyu
Shandong Second Medical University
Outcome results
None listed