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Not yet recruitingNCT07909083Updated Nov 2, 2026

The Effect of Two Different Generative AI Tools on Nursing Students' Patient Counseling Skills and Motivation Regarding Instructional Materials

An interventional study of Interactive AI Avatar Simulation and Written AI Chatbot Simulation in Artifical Intelligence, Generative Artificial Intelligence and Counseling, sponsored by Manisa Celal Bayar University. Not yet recruiting. Per ClinicalTrials.gov, last updated 2026-11-02.

Sponsored by Manisa Celal Bayar University · Not applicable, Interventional, and Other

Updated Nov 2, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
70
Allocation
Randomized
Sex
All
01

Study summary

The goal of this parallel-group randomized controlled trial is to compare the effects of two different generative artificial intelligence (AI) tools (a video/audio interactive AI avatar versus a written AI learning assistant (chatbot)) on patient counseling skills self-assessment levels and instructional materials motivation in undergraduate nursing students.

The main questions it aims to answer are:

  • Is there a difference in health services counseling skills self-assessment scores between nursing students using an interactive AI avatar and those using a written AI chatbot?
  • Is there a difference in instructional materials motivation scores between nursing students using an interactive AI avatar and those using a written AI chatbot? Researchers will compare Intervention Group 1 (students interacting asynchronously with a video and audio interactive AI avatar) to Intervention Group 2 (students interacting asynchronously with a written AI chatbot) to see if the AI interaction channel (video/audio avatar vs. text chatbot) significantly impacts student counseling self-efficacy and learning motivation.

Participants will:

  • Complete baseline pre-test questionnaires, including a Demographic Information Form, the Generative Artificial Intelligence Usage and Competence Scale, and the Counseling Skills Self-Assessment Scale.
  • Conduct patient education and counseling practice over at least 2 to 3 asynchronous sessions using their assigned AI tool on a standardized clinical case scenario.
  • Complete post-intervention questionnaires, including the Counseling Skills Self-Assessment Scale, the Instructional Materials Motivation Scale, and an Application Feedback Form.
02

Conditions studied

  • Artifical Intelligence
  • Generative Artificial Intelligence
  • Counseling
  • Education, Nursing
  • Motivation
03

In context

Lead sponsor

Manisa Celal Bayar University is the lead sponsor of 36 studies on the registry; 5 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Being enrolled as a 2nd-year undergraduate nursing student
  • Possessing appropriate technological equipment (e.g., smartphone, tablet, or personal computer) capable of accessing and running the study's generative artificial intelligence tools
  • Voluntarily agreeing to participate in the study

Exclusion criteria

Exclusion Criteria:

  • Prior experience with the specific AI tools developed or utilized in this study
  • Concurrent participation in another research study involving AI-supported teaching or learning strategies
  • Requesting to withdraw from the study at any point during the intervention period
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
70 participants (estimated)

Study arms

  • Experimental
    Interactive AI Video Avatar Group

    Other: Interactive AI Avatar Simulation

  • Experimental
    Written AI Chatbot Group

    Other: Written AI Chatbot Simulation

Interventions

  • OtherInteractive AI Avatar Simulation

    Students engage in virtual patient education and counseling simulation using a video/audio interactive AI avatar trained on a standardized nursing clinical case scenario. The simulation is completed asynchronously across at least 2 to 3 practice sessions. The intervention aims to develop students' health counseling self-efficacy and learning motivation.

  • OtherWritten AI Chatbot Simulation

    Students engage in virtual patient education and counseling simulation using a text-based AI chatbot trained on the same standardized nursing clinical case scenario and learning objectives. The simulation is completed asynchronously across at least 2 to 3 practice sessions. The intervention aims to develop students' health counseling self-efficacy and learning motivation.

06

What researchers measure

Primary outcomes

  1. Change in Counseling Skills Self-Assessment Score

    Evaluated using the Self-Assessment Scale for Counselling Skills in Health Services. The scale consists of 44 items rated on a 5-point Likert scale ranging from 1 ("Strongly Disagree") to 5 ("Strongly Agree"). It encompasses three subscales: Communication Skills (items 1-10), Professionalism (items 11-25), and Counseling Application Skills (items 26-44). Total scores range from 44 to 220, with higher scores reflecting higher self-assessed levels of counseling competence in healthcare services.

    Time frame: Baseline (Pre-intervention) and Post-Intervention (upon completion of 2 to 3 asynchronous practice sessions, within a 15-week academic period)

  2. Instructional Materials Motivation Score

    Evaluated using the Instructional Materials Motivation Survey. The scale is a single-dimensional 14-item instrument scored on a 5-point Likert scale. Higher overall or mean scores indicate higher positive motivation toward the specific generative AI instructional tool utilized during the intervention.

    Time frame: Post-Intervention (upon completion of 2 to 3 asynchronous practice sessions, within a 15-week academic period)

Secondary outcomes

  1. User Application Feedback Score

    It is aimed to assess students' subjective evaluations, user experience, and overall satisfaction with the assigned AI instructional tool.

    Time frame: Post-Intervention (upon completion of 2 to 3 asynchronous practice sessions, within a 15-week academic period)

07

Study locations

No study locations are listed for this record.

08

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Oct 2026; primary completion for Jan 2027, 3 months later.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 14, 2026
First posted
Nov 2, 2026
StartEst.
Oct 15, 2026
Primary completionEst.
Jan 31, 2027
CompletionEst.
Jan 31, 2027
Last update
Nov 2, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Nov 2, 2026
Show all 1 update
  1. Nov 2, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

09

Registry details

Key details

Study ID
NCT07909083
Lead sponsor
Manisa Celal Bayar University
Responsible party
Aydan Baysan (Assistant Professor, Manisa Celal Bayar University) — Principal investigator
First posted
Nov 2, 2026
Start date
Oct 15, 2026 (estimated)
Primary completion
Jan 31, 2027 (estimated)
Completion
Jan 31, 2027 (estimated)
Last update
Nov 2, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.

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