HealthyNCT07778186
AI-driven Multiple Interactive Teaching Model on Nuclear Medicine Students' Theoretical Knowledge and Practical Skills
A study testing AI-driven multiple interactive nuclear medicine teaching and Traditional lecture-based nuclear medicine teaching in people with Healthy and Nuclear Medicine Undergraduate Medical Education, run by Sichuan Provincial People's Hospital at 1 site in China.
Trial summary
This single-center randomized controlled trial will enroll 85 nuclear medicine undergraduate students. Participants will be randomized into two arms: a three-stage AI multi-interactive teaching intervention group (n=43) and a conventional lecture-based control group (n=42). Read more about this study
- Who is it for?
- Ages 18 to 25 yearsHealthy volunteers can take part
- Conditions the study is for
- Healthy, Nuclear Medicine Undergraduate Medical Education
- What is being tested?
- AI-driven multiple interactive nuclear medicine teaching and Traditional lecture-based nuclear medicine teaching
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 85 participants
- Where
- 1 siteChina
- Study dates
- 1 Feb 2025to 30 Jun 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 25 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Undergraduate students majoring in clinical medicine who take the nuclear medicine theoretical course.
- Age ≥18 years old.
- Voluntarily agree to participate in this study and provide informed consent.
- Complete the full-cycle nuclear medicine teaching activities.
Who cannot join
- Students who have previously received systematic nuclear medicine coursework.
- Incomplete participation in teaching activities or missing post-intervention assessment data.
- Students who refuse to join this research.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: The Impact of AI-driven Multiple Interactive Teaching Model on Nuclear Medicine Students' Theoretical Knowledge and Practical Skills
This single-center randomized controlled trial will enroll 85 nuclear medicine undergraduate students. Participants will be randomized into two arms: a three-stage AI multi-interactive teaching intervention group (n=43) and a conventional lecture-based control group (n=42). The study is designed to compare theoretical knowledge, instructor-rated performance, student satisfaction, discussion participation, core concept comprehension, and classroom engagement between the two teaching approaches. Planned evaluations will be conducted after the teaching intervention.
- Being tested
- AI-driven multiple interactive nuclear medicine teaching, Traditional lecture-based nuclear medicine teaching
- Keywords
- Artificial intelligence, interactive teaching, nuclear medicine, undergraduate education, medical student
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-driven multiple interactive nuclear medicine teachingBehavioural
Undergraduate students receive nuclear medicine theoretical courses via AI-driven multiple interactive teaching mode.
Traditional lecture-based nuclear medicine teachingBehavioural
Undergraduate students receive standard nuclear medicine theoretical courses by conventional lecture-based teaching.
| Study group | Role | What they receive |
|---|---|---|
| AI-driven multiple interactive teaching group | Experimental | Not described Receives: Behavioral: AI-driven multiple interactive nuclear medicine teaching |
| Traditional lecture-based teaching group | Active comparator | Not described Receives: Behavioral: Traditional lecture-based nuclear medicine teaching |
What is being measured
The primary outcome is the main question the study is designed to answer.
Difference in post-test theoretical knowledge scores of nuclear medicine between the two student groups
Nuclear medicine theoretical knowledge post-test score; examination scale range from 0 (minimum, poorest performance) to 100 (maximum, best performance). Higher scores indicate better theoretical knowledge mastery. The between-group score difference will be compared.
Measured: At the end of the teaching intervention (approximately 4-week teaching period)
Secondary outcomes (3)
Difference in student classroom engagement scores between AI-driven teaching group and traditional lecture group
Student classroom engagement is assessed using a validated classroom engagement rating scale. The total scale score ranges from 20 (minimum, poorest classroom engagement) to 100 (maximum, optimal classroom engagement). Higher scores represent better classroom engagement of students. The difference in post-intervention engagement scores between the two groups will be analyzed.
Measured: At the end of the teaching intervention (approximately 4-week teaching period)
Difference in learning satisfaction questionnaire scores between the two groups
Student learning satisfaction is evaluated with a standardized learning satisfaction questionnaire. The overall questionnaire score ranges from 10 (minimum, lowest learning satisfaction) to 50 (maximum, highest learning satisfaction). Higher scores indicate higher student learning satisfaction with nuclear medicine teaching. Post-intervention satisfaction scores are compared between the AI-driven teaching group and the traditional lecture group.
Measured: At the end of the teaching intervention (approximately 4-week teaching period)
Difference in practical-relevant learning experience scores between the two groups
Students' practical-relevant learning experience is assessed using a validated practical learning experience scale. The total scale score ranges from 15 (minimum, poorest practical learning experience) to 75 (maximum, optimal practical learning experience). Higher scores represent better practical learning experience and stronger perceived mastery of nuclear medicine practical knowledge. Post-intervention learning experience scores are compared between the AI-driven teaching group and the traditional lecture group.
Measured: At the end of the teaching intervention (approximately 4-week teaching period)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted21 Aug 2026
- Study start1 Feb 2025
- Primary completion30 Jun 2025
- Study completion30 Jun 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for HealthyStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 85 participants (actual)
Sponsor and investigators
- Lead sponsor
- Sichuan Provincial People's Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Hao Wang, Sichuan Provincial People's Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07778186
- Sponsor's protocol ID
- SichuanPPH-teaching
- Status last verified
- Aug 2026
- First submitted
- 17 Aug 2026
- Last updated
- 21 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 21 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Impact of AI-driven Multiple Interactive Teaching Model on Nuclear Medicine Students' Theoretical Knowledge and Practical Skills
- ClinicalTrials.gov ID
- NCT07778186
- Acronym / sponsor ID
- SichuanPPH-teaching
- Keywords
- Artificial intelligence, interactive teaching, nuclear medicine, undergraduate education, medical student
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 85 participants (actual)
- Lead sponsor
- Sichuan Provincial People's HospitalUniversity, hospital or other
- Study start
- 1 Feb 2025 (actual)
- Primary completion
- 30 Jun 2025 (actual)
- Study completion
- 30 Jun 2025 (actual)
- First posted
- 21 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This single-center randomized controlled trial will enroll 85 nuclear medicine undergraduate students. Participants will be randomized into two arms: a three-stage AI multi-interactive teaching intervention group (n=43) and a conventional lecture-based control group (n=42). The study is designed to compare theoretical knowledge, instructor-rated performance, student satisfaction, discussion participation, core concept comprehension, and classroom engagement between the two teaching approaches. Planned evaluations will be conducted after the teaching intervention.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| AI-driven multiple interactive teaching group | Experimental | Behavioral: AI-driven multiple interactive nuclear medicine teaching |
| Traditional lecture-based teaching group | Active comparator | Behavioral: Traditional lecture-based nuclear medicine teaching |
Who may qualify
- Ages
- 18 to 25 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (4 listed)
- Undergraduate students majoring in clinical medicine who take the nuclear medicine theoretical course.
- Age ≥18 years old.
- Voluntarily agree to participate in this study and provide informed consent.
- Complete the full-cycle nuclear medicine teaching activities.
Key exclusion criteria (3 listed)
- Students who have previously received systematic nuclear medicine coursework.
- Incomplete participation in teaching activities or missing post-intervention assessment data.
- Students who refuse to join this research.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-driven multiple interactive nuclear medicine teachingUndergraduate students receive nuclear medicine theoretical courses via AI-driven multiple interactive teaching mode. | Behavioural | AI-driven multiple interactive teaching group |
| Traditional lecture-based nuclear medicine teachingUndergraduate students receive standard nuclear medicine theoretical courses by conventional lecture-based teaching. | Behavioural | Traditional lecture-based teaching group |
Primary outcome
Difference in post-test theoretical knowledge scores of nuclear medicine between the two student groups
Time frame: At the end of the teaching intervention (approximately 4-week teaching period)
Nuclear medicine theoretical knowledge post-test score; examination scale range from 0 (minimum, poorest performance) to 100 (maximum, best performance). Higher scores indicate better theoretical knowledge mastery. The between-group score difference will be compared.
3 secondary outcomes
Difference in student classroom engagement scores between AI-driven teaching group and traditional lecture group
Time frame: At the end of the teaching intervention (approximately 4-week teaching period)
Difference in learning satisfaction questionnaire scores between the two groups
Time frame: At the end of the teaching intervention (approximately 4-week teaching period)
Difference in practical-relevant learning experience scores between the two groups
Time frame: At the end of the teaching intervention (approximately 4-week teaching period)
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Aug 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-driven multiple interactive nuclear medicine teaching and Traditional lecture-based nuclear medicine teaching in people with Healthy and Nuclear Medicine Undergraduate Medical Education, run by Sichuan Provincial People's Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 21 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Difference in post-test theoretical knowledge scores of nuclear medicine between the two student groups (time frame: At the end of the teaching intervention (approximately 4-week teaching period)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Aug 2026.