Employment AnxietyCARESIMNCT07061132
AI-Powered Interview Simulation to Improve Employability and Reduce Anxiety in Nursing and Midwifery Students
A study testing AI-Based Interview Simulation in people with Employment Anxiety and Perceived Employability, run by Koç University at 1 site in Turkey (Türkiye).
Trial summary
This randomized controlled trial aims to evaluate the effectiveness of a ChatGPT-based job interview simulation on the employment perceptions and interview-related anxiety of senior nursing and midwifery students. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Employment Anxiety, Perceived Employability, Educational Technology
- What is being tested?
- AI-Based Interview Simulation
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 90 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 8 May 2025to 30 Aug 2025
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
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 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Must be 18 years of age or older
- Must be a senior-year student enrolled in a nursing or midwifery program
- Must voluntarily agree to participate in the study
- Must provide written informed consent
Who cannot join
- Unable to participate in the intervention or assessments due to extended absence or medical leave
- Fails to complete either the pre-test or post-test assessments
- Previous participation in the pilot phase of the study
- Prior exposure to the ChatGPT-based interview simulation used in this study
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Koç University School of Nursing
Istanbul, 34450
About this study
Official title: Leveraging AI-Powered Interview Simulations to Enhance Employability and Reduce Anxiety in Final-Year Nursing and Midwifery Students: A Randomized Controlled Trial
This randomized controlled trial aims to evaluate the effectiveness of a ChatGPT-based job interview simulation on the employment perceptions and interview-related anxiety of senior nursing and midwifery students. Transitioning from education to professional practice in healthcare is a critical phase that directly influences employability and career readiness. Particularly for nursing and midwifery students, the ability to navigate job interviews with confidence plays a pivotal role in shaping their future career paths. As such, innovative and digital interventions are needed to better prepare students for this process.
Grounded in Bandura's Social Cognitive Theory and the Technology Acceptance Model (TAM), the study explores how AI-driven simulations affect students' self-efficacy, perceived utility, and usability, and ultimately their career-related outlook. The intervention involves a structured, text-based job interview simulation powered by ChatGPT-4o, during which students respond to a series of nine professionally tailored questions. These questions are aligned with international competency frameworks such as those from ICN (2008) and ICM (2024), focusing on themes like professionalism, teamwork, evidence-based care, communication, and leadership. At the end of the simulation, the chatbot provides brief, constructive feedback to the participant.
Read more
A total of 102 final-year students from Koç University and Istanbul University-Cerrahpaşa will be recruited using stratified randomization. Participants will be assigned to either an intervention group, which will complete the ChatGPT simulation, or a control group, which will not receive any interview intervention but will complete the same pre- and post-test questionnaires. Key outcome measures include the Perceived Future Employability Scale (PFE), the Interview Anxiety Scale (MASI-T), and a simulation experience form for the intervention group. Quantitative data will be analyzed using SPSS with appropriate parametric and non-parametric tests based on data distribution, and an intention-to-treat (ITT) approach will be adopted.
To ensure the integrity of the experiment, blinding procedures, strict confidentiality, and group separation protocols will be applied. The simulation will be conducted individually on research-owned devices in private rooms, and no personal or textual data will be saved from the AI interactions. Ethical approval has been obtained from Koç University Social and Behavioral Ethics Committee. Participation is voluntary, informed consent will be collected, and all processes will comply with the Helsinki Declaration and Turkish Personal Data Protection Law.
Ultimately, this study seeks to offer evidence on the pedagogical utility of AI-based simulation tools in preparing healthcare students for employment, while also contributing to the broader field of digital transformation in health education.
Read the detailed description
This study introduces an innovative AI-based intervention aimed at enhancing employability preparation among senior nursing and midwifery students through a simulated job interview experience. The intervention is structured around a generative artificial intelligence model (ChatGPT-4o), which delivers a dynamic, text-based interaction mimicking realistic interview settings. The chatbot prompts are informed by international professional competency frameworks and were developed with input from nursing educators, digital learning experts, and HR professionals.
The conceptual basis of the study combines Social Cognitive Theory and the Technology Acceptance Model, allowing exploration of how simulated, interactive environments contribute to professional readiness. In particular, the study investigates the influence of self-efficacy beliefs and user perception of AI technology on employment-related attitudes.
To ensure validity and usability, a pilot implementation was conducted prior to full deployment. This included iterative testing of the chatbot dialogue flow, question clarity, and interview timing, with input from students outside the main sample. Minor refinements were applied to optimize realism and reduce cognitive overload during simulation.
The AI interaction does not involve natural language learning or data retention; its sole function is to facilitate reflective engagement in a structured scenario. All responses are deleted after the session to comply with data protection standards. The chatbot-generated feedback is non-evaluative and designed to reinforce confidence.
Quantitative analysis will be supplemented with descriptive insights from a post-simulation feedback form that captures students' subjective experience, perceived preparedness, and usability impressions. This mixed-methods integration supports a comprehensive understanding of the intervention's practical and pedagogical value.
Ultimately, the project aims to contribute to the responsible implementation of AI tools in health professions education, particularly in the context of employability, professional identity formation, and digital literacy.
- Conditions
- Employment Anxiety, Perceived Employability, Educational Technology, Artificial Intelligence (AI), Nursing Education Research, Midwifery Education
- Being tested
- AI-Based Interview Simulation
- Keywords
- ChatGPT, Artificial Intelligence, Job Interview Simulation, Nursing Students, Midwifery Students, Employability, Interview Anxiety, Self-Efficacy, Simulation-Based Learning
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Based Interview SimulationOther
The intervention group participated in a structured, text-based job interview simulation supported by ChatGPT-4o, using nine standardized prompts based on ICN (2008) and ICM (2024) core competencies. Developed by experts in simulation and nursing education, the intervention aimed to enhance self-efficacy and reduce interview-related anxiety. Each session lasted 15-20 minutes and concluded with structured feedback provided by ChatGPT. Participants were also offered an optional preparation guide with 40 reflective questions across themes such as communication, anxiety, and self-awareness. This preparation was not mandatory and not included in the simulation time.
| Study group | Role | What they receive |
|---|---|---|
| AI-Based Interview Simulation Group | Experimental | Arm Description:
Participants in this arm will complete a structured, AI-powered job interview simulation using ChatGPT-4o. The simulation will consist of nine competency-based questions aligned with international nursing and midwifery standards. The interaction will be conducted individually in written format, and the chatbot will provide short, supportive feedback at the end. No text data will be saved. This simulation is designed to enhance participants' employability perception and reduce their interview-related anxiety. Receives: Other: AI-Based Interview Simulation |
| No-Intervention Control Group | No intervention | Participants in this arm will not receive any intervention during the study period. They will complete the same pre-test and post-test assessments as the intervention group but will not participate in the AI-powered interview simulation. After the study concludes, they may optionally be offered access to the simulation for educational purposes, but no data will be collected from that session. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in Perceived Future Employability Score
Assessed using the Perceived Future Employability Scale (PFE). The scale includes 24 items across 6 subdomains and is rated on a 6-point Likert scale. Higher scores indicate more positive perceptions of future employability. Change in total score from pre-test to post-test will be used to assess the intervention's effect.
Measured: From baseline to post-intervention (approximately 2 weeks)
Change in Interview Anxiety Score
Assessed using the Turkish version of the Measure of Anxiety in Selection Interviews (MASI), originally developed by McCarthy and Goffin (2004) and adapted into Turkish by Turgut, Kümbül Güler, and Vural Yüzbaşı (2024). The scale consists of 30 items across four subscales: communication anxiety, social appearance anxiety, performance anxiety, and behavioral anxiety. Each item is rated on a 5-point Likert scale (1-5). Higher scores indicate higher levels of job interview-related anxiety. Change in total score will be analyzed to evaluate the effectiveness of the intervention.
Measured: From baseline to post-intervention (approximately 2 weeks)
Secondary outcomes (1)
Simulation Experience Evaluation Score
Participants in the intervention group will complete a post-simulation feedback form designed by the researchers. The form includes 8 closed-ended items rated on a 10-point Visual Analog Scale (VAS) and 3 open-ended questions. Dimensions include realism of the simulation, clarity of chatbot prompts, comfort level, perceived usefulness, performance perception, and readiness for real interviews.
Measured: Immediately after the simulation session
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Jul 2025
- Study start8 May 2025
- Primary completion2 Jul 2025
- Study completion30 Aug 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Employment AnxietyStudies 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
- Model description
- Interventional Study Model: Parallel Assignment Model Description: Participants will be randomly assigned to one of two parallel groups. The intervention group will receive a ChatGPT-based job interview simulation, while the control group will receive no intervention. Both groups will complete identical pre- and post-intervention assessments.
- Masking
- Double blind
- Who is masked
- Participant, Investigator
- Enrolment
- 90 participants (actual)
Sponsor and investigators
- Lead sponsor
- Koç University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Seda Sarikose, Koç University
- Investigators
- SEDA SARIKOSE, Asst. Prof., Principal investigator, Koc University School of Nursing
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07061132
- Sponsor's protocol ID
- 2025.203.IRB3.080
- Other IDs
- 2025.203.IRB3.080
- Acronym
- CARESIM
- Status last verified
- Jul 2025
- First submitted
- 2 Jul 2025
- Last updated
- 11 Jul 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: De-identified individual participant data (IPD) related to outcome measures will be made available to qualified researchers upon reasonable request, following publication of study results.
Study at a glance
From the registry record, last updated by the sponsor on 11 Jul 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Leveraging AI-Powered Interview Simulations to Enhance Employability and Reduce Anxiety in Final-Year Nursing and Midwifery Students: A Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT07061132
- Acronym / sponsor ID
- CARESIM / 2025.203.IRB3.080
- Conditions
- Employment Anxiety, Perceived Employability, Educational Technology, Artificial Intelligence (AI), Nursing Education Research, Midwifery Education
- Keywords
- ChatGPT, Artificial Intelligence, Job Interview Simulation, Nursing Students, Midwifery Students, Employability, Interview Anxiety, Self-Efficacy
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 90 participants (actual)
- Lead sponsor
- Koç UniversityUniversity, hospital or other
- Study start
- 8 May 2025 (actual)
- Primary completion
- 2 Jul 2025 (actual)
- Study completion
- 30 Aug 2025 (estimated)
- First posted
- 11 Jul 2025 (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 randomized controlled trial aims to evaluate the effectiveness of a ChatGPT-based job interview simulation on the employment perceptions and interview-related anxiety of senior nursing and midwifery students. Transitioning from education to professional practice in healthcare is a critical phase that directly influences employability and career readiness. Particularly for nursing and midwifery students, the ability to navigate job interviews with confidence plays a pivotal role in shaping their future career paths. As such, innovative and digital interventions are needed to better prepare students for this process.
Grounded in Bandura's Social Cognitive Theory and the Technology Acceptance Model (TAM), the study explores how AI-driven simulations affect students' self-efficacy, perceived utility, and usability, and ultimately their career-related outlook. The intervention involves a structured, text-based job interview simulation powered by ChatGPT-4o, during which students respond to a series of nine professionally tailored questions. These questions are aligned with international competency frameworks such as those from ICN (2008) and ICM (2024), focusing on themes like professionalism, teamwork, evidence-based care, communication, and leadership. At the end of the simulation, the chatbot provides brief, constructive feedback to the participant.
A total of 102 final-year students from Koç University and Istanbul University-Cerrahpaşa will be recruited using stratified randomization. Participants will be assigned to either an intervention group, which will complete the ChatGPT simulation, or a control group, which will not receive any interview intervention but will complete the same pre- and post-test questionnaires. Key outcome measures include the Perceived Future Employability Scale (PFE), the Interview Anxiety Scale (MASI-T), and a simulation experience form for the intervention group. Quantitative data will be analyzed using SPSS with appropriate parametric and non-parametric tests based on data distribution, and an intention-to-treat (ITT) approach will be adopted.
To ensure the integrity of the experiment, blinding procedures, strict confidentiality, and group separation protocols will be applied. The simulation will be conducted individually on research-owned devices in private rooms, and no personal or textual data will be saved from the AI interactions. Ethical approval has been obtained from Koç University Social and Behavioral Ethics Committee. Participation is voluntary, informed consent will be collected, and all processes will comply with the Helsinki Declaration and Turkish Personal Data Protection Law.
Ultimately, this study seeks to offer evidence on the pedagogical utility of AI-based simulation tools in preparing healthcare students for employment, while also contributing to the broader field of digital transformation in health education.
Detailed description
This study introduces an innovative AI-based intervention aimed at enhancing employability preparation among senior nursing and midwifery students through a simulated job interview experience. The intervention is structured around a generative artificial intelligence model (ChatGPT-4o), which delivers a dynamic, text-based interaction mimicking realistic interview settings. The chatbot prompts are informed by international professional competency frameworks and were developed with input from nursing educators, digital learning experts, and HR professionals.
The conceptual basis of the study combines Social Cognitive Theory and the Technology Acceptance Model, allowing exploration of how simulated, interactive environments contribute to professional readiness. In particular, the study investigates the influence of self-efficacy beliefs and user perception of AI technology on employment-related attitudes.
To ensure validity and usability, a pilot implementation was conducted prior to full deployment. This included iterative testing of the chatbot dialogue flow, question clarity, and interview timing, with input from students outside the main sample. Minor refinements were applied to optimize realism and reduce cognitive overload during simulation.
The AI interaction does not involve natural language learning or data retention; its sole function is to facilitate reflective engagement in a structured scenario. All responses are deleted after the session to comply with data protection standards. The chatbot-generated feedback is non-evaluative and designed to reinforce confidence.
Quantitative analysis will be supplemented with descriptive insights from a post-simulation feedback form that captures students' subjective experience, perceived preparedness, and usability impressions. This mixed-methods integration supports a comprehensive understanding of the intervention's practical and pedagogical value.
Ultimately, the project aims to contribute to the responsible implementation of AI tools in health professions education, particularly in the context of employability, professional identity formation, and digital literacy.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, investigator)
- Number of arms
- 2
- Model description
- Interventional Study Model: Parallel Assignment Model Description: Participants will be randomly assigned to one of two parallel groups. The intervention group will receive a ChatGPT-based job interview simulation, while the control group will receive no intervention. Both groups will complete identical pre- and post-intervention assessments.
| Arm | Type | Receives |
|---|---|---|
| AI-Based Interview Simulation Group | Experimental | Other: AI-Based Interview SimulationArm Description: Participants in this arm will complete a structured, AI-powered job interview simulation using ChatGPT-4o. The simulation will consist of nine competency-based questions aligned with international nursing and midwifery standards. The interaction will be conducted individually in written format, and the chatbot will provide short, supportive feedback at the end. No text data will be saved. This simulation is designed to enhance participants' employability perception and reduce their interview-related anxiety. |
| No-Intervention Control Group | No intervention | –Participants in this arm will not receive any intervention during the study period. They will complete the same pre-test and post-test assessments as the intervention group but will not participate in the AI-powered interview simulation. After the study concludes, they may optionally be offered access to the simulation for educational purposes, but no data will be collected from that session. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Must be 18 years of age or older
- Must be a senior-year student enrolled in a nursing or midwifery program
- Must voluntarily agree to participate in the study
- Must provide written informed consent
Key exclusion criteria (4 listed)
- Unable to participate in the intervention or assessments due to extended absence or medical leave
- Fails to complete either the pre-test or post-test assessments
- Previous participation in the pilot phase of the study
- Prior exposure to the ChatGPT-based interview simulation used in this study
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-Based Interview SimulationThe intervention group participated in a structured, text-based job interview simulation supported by ChatGPT-4o, using nine standardized prompts based on ICN (2008) and ICM (2024) core competencies. Developed by experts in simulation and nursing education, the intervention aimed to enhance self-efficacy and reduce interview-related anxiety. Each session lasted 15-20 minutes and concluded with structured feedback provided by ChatGPT. Participants were also offered an optional preparation guide with 40 reflective questions across themes such as communication, anxiety, and self-awareness. This preparation was not mandatory and not included in the simulation time. | Other | AI-Based Interview Simulation Group |
Primary outcome
Change in Perceived Future Employability Score
Time frame: From baseline to post-intervention (approximately 2 weeks)
Assessed using the Perceived Future Employability Scale (PFE). The scale includes 24 items across 6 subdomains and is rated on a 6-point Likert scale. Higher scores indicate more positive perceptions of future employability. Change in total score from pre-test to post-test will be used to assess the intervention's effect.
Change in Interview Anxiety Score
Time frame: From baseline to post-intervention (approximately 2 weeks)
Assessed using the Turkish version of the Measure of Anxiety in Selection Interviews (MASI), originally developed by McCarthy and Goffin (2004) and adapted into Turkish by Turgut, Kümbül Güler, and Vural Yüzbaşı (2024). The scale consists of 30 items across four subscales: communication anxiety, social appearance anxiety, performance anxiety, and behavioral anxiety. Each item is rated on a 5-point Likert scale (1-5). Higher scores indicate higher levels of job interview-related anxiety. Change in total score will be analyzed to evaluate the effectiveness of the intervention.
1 secondary outcome
Simulation Experience Evaluation Score
Time frame: Immediately after the simulation session
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Jul 2025.
- Individual participant dataSharing planned: Yes. De-identified individual participant data (IPD) related to outcome measures will be made available to qualified researchers upon reasonable request, following publication of study results.
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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.
SEDA SARIKOSE, Asst. Prof. principal investigator
Koc University School of Nursing
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-Based Interview Simulation in people with Employment Anxiety and Perceived Employability, run by Koç University at 1 site in Turkey (Türkiye).
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 4 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: under way, not looking for participants, as of the sponsor's last update on 11 Jul 2025. 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 Turkey (Türkiye). 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?
This study is still under way. Results are not available in the source record yet.
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?
Change in Perceived Future Employability Score (time frame: From baseline to post-intervention (approximately 2 weeks)). The study lists 2 primary outcomes in all. 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 11 Jul 2025.