Nurse's RoleNCT06217926
Nursing Students' Attitudes Towards Artificial Intelligence and Exam Anxiety Levels
A study testing Experimental Group (Educational content; ChatGPT and Google Bard training) in people with Nurse's Role and Anxiety, run by Sinop University at 1 site in Turkey (Türkiye).
Trial summary
This study was planned to determine nursing students' attitudes towards artificial intelligence and test anxiety levels after using ChatGPT and Google Bard in their education. The study will be carried out in accordance with the research feature of quasi-experimental, pretest-posttest, with 3rd and 4th year nursing… Read more about this study
- Who is it for?
- Ages 18 to 30 yearsHealthy volunteers can take part
- Conditions the study is for
- Nurse's Role, Anxiety, Educational Problems
- What is being tested?
- Experimental Group (Educational content; ChatGPT and Google Bard training)
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 211 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 25 Jan 2024to 4 Mar 2024
- 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 30 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Being a 3rd and 4th year student at Sinop University Faculty of Health Sciences in the 2023-2024 fall academic year
- Volunteering to participate in the research and
- Signing the informed consent form
Who cannot join
- Not to be a 3rd or 4th year student at Sinop University Faculty of Health Sciences in the 2023-2024 fall academic year
- Not volunteering to participate in the research
- Not signing the informed consent form
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Nursing Students' Attitudes Towards Artificial Intelligence and Exam Anxiety Levels After Using ChatGPT and Google Bard in Their Education
This study was planned to determine nursing students' attitudes towards artificial intelligence and test anxiety levels after using ChatGPT and Google Bard in their education. The study will be carried out in accordance with the research feature of quasi-experimental, pretest-posttest, with 3rd and 4th year nursing students studying at Sinop University Faculty of Health Sciences in the 2023-2024 fall academic year. The research groups are named as follows; Experimental Group: The group that will receive ChatGPT and Google Bard training, Control Group: The group that will not receive ChatGPT and Google Bard training, in other words, the 3rd year students of the nursing department will be referred to as the control group, and the 4th year students will be the experimental group. Educational content; ChatGPT and Google Bard training for senior students of the Faculty of Health Sciences who volunteered to participate in the study was provided by Dr. Lecturer It will be given by member Yasemin Özyer Güvener. After the training is completed, students will be asked to use generative artificial intelligence for educational purposes. During the posttest implementation of the study (one week before the final exams), data collection tools will be applied again to students who continue to volunteer to participate in the research.
Key words: nursing students, test anxiety, generative artificial intelligence, ChatGPT, Google Bard
Read the detailed description
In health sciences education, generative artificial intelligence programs, namely ChatGPT and Google Bard, can be used, for example, to create different and realistic clinical stories, to ensure that health sciences students receive instant help in unique clinical cases, and to improve students' communication skills (Sallam, 2023). Additionally, generative AI can assist health science students in self-learning and group work. The usefulness of productive artificial intelligence and the individualized interaction it provides have made it accepted as a source of motivation for students (Connor 2023; Kosak et al., 2023; Gilson et al., 2023; Khan et al., 2023).
Additionally, educators can promote deep learning by teaching students to critically evaluate information generated by generative AI, make informed decisions about the accuracy of information, and think about their responsibilities in the use of generative AI (Sun et al., 2023). For example, as homework, health sciences students may be asked to create an evidence-based protocol for stress management. Students can use generative AI to prepare the protocol. Thus, students can spend their time learning subject-related concepts or gaining knowledge about various topics.
In recent years, rapid developments in artificial intelligence technologies have affected all social systems, including economy, politics, science and education (Luan et al., 2020, Stephanidis et al., 2019). However, people are often unaware of the existence of artificial intelligence applications (Tai, 2020). Gansser and Reich (2021) define artificial intelligence as a technology developed simply to facilitate human life and assist people in certain scenarios. In fact, artificial intelligence is used in many useful contexts, such as diagnosing diseases, protecting environmental resources, predicting natural disasters, improving education, preventing violent acts, and reducing risks in the workplace (Brooks, 2019). Test anxiety is defined as the unpleasant feelings and emotional states experienced by the student during an exam or any evaluation. It is stated that test anxiety negatively affects the academic success of the student.
- Conditions
- Nurse's Role, Anxiety, Educational Problems
- Being tested
- Experimental Group (Educational content; ChatGPT and Google Bard training)
- Keywords
- nursing students, exam anxiety, generative artificial intelligence, ChatGPT, Google Bard
- Medical subject headings
- Anxiety Disorders
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Experimental Group (Educational content; ChatGPT and Google Bard training)Behavioural
Educational content; ChatGPT and Google Bard training for senior students of the Faculty of Health Sciences who volunteered to participate in the study was provided by Dr. Lecturer It will be given by member Yasemin Özyer Güvener. After the training is completed, students will be asked to use generative artificial intelligence for educational purposes.
During the posttest implementation of the study (one week before the final exams), the Personal Information Form, "Attitude Scale Towards Artificial Intelligence" and "Westside Exam Anxiety Scale" will be re-administered to the 3rd and 4th year students of the Faculty of Health Sciences.
| Study group | Role | What they receive |
|---|---|---|
| Control Group | No intervention | During the pretest of the study, firstly, the 3rd year students of the Faculty of Health Sciences will be informed about the purpose of the study, that their participation in the study is based on the principle of voluntariness, that they can leave the study at any time, and that the study results will be used only for scientific purposes. Then, data collection tools will be applied to students who volunteer to participate in the research. During the posttest implementation of the study (one week before the final exams), the Personal Information Form, "Attitude Scale Towards Artificial Intelligence" and "Westside Exam Anxiety Scale" will be re-administered to the 3rd and 4th year students of the Faculty of Health Sciences. |
| Experimental Group | Experimental | During the pretest of the study, firstly, the 4th year students of the Faculty of Health Then, data collection tools will be applied to students who volunteer to participate in the research.
Educational content; ChatGPT and Google Bard training for senior students of the Faculty of Health Sciences who volunteered to participate in the study was provided by Dr. Lecturer It will be given by member Yasemin Özyer Güvener. After the training is completed, students will be asked to use generative artificial intelligence for educational purposes.
During the posttest implementation of the study (one week before the final exams), the Personal Information Form, "Attitude Scale Towards Artificial Intelligence" and "Westside Exam Anxiety Scale" will be re-administered to the 3rd and 4th year students of the Faculty of Health Sciences. Receives: Behavioral: Experimental Group (Educational content; ChatGPT and Google Bard training) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Attitude Scale Towards Artificial Intelligence
This scale was developed by Schepman and Rodway (2020) to measure individuals' general attitudes towards artificial intelligence. The scale contains 20 items, 12 positive and 8 negative. Items are scored with a five-point Likert-type rating scale (from 1=strongly disagree to 5=strongly agree). The validity and reliability study of the attitude scale towards artificial intelligence in Turkish was conducted by Feridun et al. (2022).
Measured: One Day
Secondary outcomes (1)
Westside Test Anxiety Scale (WSKS)
The scale was developed by Driscoll (2007) and adapted into Turkish for university students by Totan and Yavuz (2009). The scale was developed in its original form to be used to examine the effect of a program aimed at reducing test anxiety. While Driscoll (2007) shaped the scale as ten items in a single dimension, Totan and Yavuz (2009) translated the scale into Turkish as eleven items, thinking that defining one item as two different sign variables would be more suitable for Turkish grammar.
Measured: One day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted23 Jan 2024
- Study start25 Jan 2024
- Primary completion25 Feb 2024
- Study completion4 Mar 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nurse's RoleStudies 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
- Supportive care
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Participant, Investigator
- Enrolment
- 211 participants (actual)
Sponsor and investigators
- Lead sponsor
- Sinop University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06217926
- Sponsor's protocol ID
- sinopUyasemin-2
- Status last verified
- Mar 2024
- First submitted
- 19 Dec 2023
- Last updated
- 1 Apr 2024
- 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 1 Apr 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Nursing Students' Attitudes Towards Artificial Intelligence and Exam Anxiety Levels After Using ChatGPT and Google Bard in Their Education
- ClinicalTrials.gov ID
- NCT06217926
- Acronym / sponsor ID
- sinopUyasemin-2
- Conditions
- Nurse's Role, Anxiety, Educational Problems
- Keywords
- nursing students, exam anxiety, generative artificial intelligence, ChatGPT, Google Bard
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 211 participants (actual)
- Lead sponsor
- Sinop UniversityUniversity, hospital or other
- Study start
- 25 Jan 2024 (actual)
- Primary completion
- 25 Feb 2024 (actual)
- Study completion
- 4 Mar 2024 (actual)
- First posted
- 23 Jan 2024 (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 study was planned to determine nursing students' attitudes towards artificial intelligence and test anxiety levels after using ChatGPT and Google Bard in their education. The study will be carried out in accordance with the research feature of quasi-experimental, pretest-posttest, with 3rd and 4th year nursing students studying at Sinop University Faculty of Health Sciences in the 2023-2024 fall academic year. The research groups are named as follows; Experimental Group: The group that will receive ChatGPT and Google Bard training, Control Group: The group that will not receive ChatGPT and Google Bard training, in other words, the 3rd year students of the nursing department will be referred to as the control group, and the 4th year students will be the experimental group. Educational content; ChatGPT and Google Bard training for senior students of the Faculty of Health Sciences who volunteered to participate in the study was provided by Dr. Lecturer It will be given by member Yasemin Özyer Güvener. After the training is completed, students will be asked to use generative artificial intelligence for educational purposes. During the posttest implementation of the study (one week before the final exams), data collection tools will be applied again to students who continue to volunteer to participate in the research.
Key words: nursing students, test anxiety, generative artificial intelligence, ChatGPT, Google Bard
Detailed description
In health sciences education, generative artificial intelligence programs, namely ChatGPT and Google Bard, can be used, for example, to create different and realistic clinical stories, to ensure that health sciences students receive instant help in unique clinical cases, and to improve students' communication skills (Sallam, 2023). Additionally, generative AI can assist health science students in self-learning and group work. The usefulness of productive artificial intelligence and the individualized interaction it provides have made it accepted as a source of motivation for students (Connor 2023; Kosak et al., 2023; Gilson et al., 2023; Khan et al., 2023).
Additionally, educators can promote deep learning by teaching students to critically evaluate information generated by generative AI, make informed decisions about the accuracy of information, and think about their responsibilities in the use of generative AI (Sun et al., 2023). For example, as homework, health sciences students may be asked to create an evidence-based protocol for stress management. Students can use generative AI to prepare the protocol. Thus, students can spend their time learning subject-related concepts or gaining knowledge about various topics.
In recent years, rapid developments in artificial intelligence technologies have affected all social systems, including economy, politics, science and education (Luan et al., 2020, Stephanidis et al., 2019). However, people are often unaware of the existence of artificial intelligence applications (Tai, 2020). Gansser and Reich (2021) define artificial intelligence as a technology developed simply to facilitate human life and assist people in certain scenarios. In fact, artificial intelligence is used in many useful contexts, such as diagnosing diseases, protecting environmental resources, predicting natural disasters, improving education, preventing violent acts, and reducing risks in the workplace (Brooks, 2019). Test anxiety is defined as the unpleasant feelings and emotional states experienced by the student during an exam or any evaluation. It is stated that test anxiety negatively affects the academic success of the student.
Study design
- Primary purpose
- Supportive care
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, investigator)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Control Group | No intervention | –During the pretest of the study, firstly, the 3rd year students of the Faculty of Health Sciences will be informed about the purpose of the study, that their participation in the study is based on the principle of voluntariness, that they can leave the study at any time, and that the study results will be used only for scientific purposes. Then, data collection tools will be applied to students who volunteer to participate in the research. During the posttest implementation of the study (one week before the final exams), the Personal Information Form, "Attitude Scale Towards Artificial Intelligence" and "Westside Exam Anxiety Scale" will be re-administered to the 3rd and 4th year students of the Faculty of Health Sciences. |
| Experimental Group | Experimental | Behavioral: Experimental Group (Educational content; ChatGPT and Google Bard training)During the pretest of the study, firstly, the 4th year students of the Faculty of Health Then, data collection tools will be applied to students who volunteer to participate in the research. Educational content; ChatGPT and Google Bard training for senior students of the Faculty of Health Sciences who volunteered to participate in the study was provided by Dr. Lecturer It will be given by member Yasemin Özyer Güvener. After the training is completed, students will be asked to use generative artificial intelligence for educational purposes. During the posttest implementation of the study (one week before the final exams), the Personal Information Form, "Attitude Scale Towards Artificial Intelligence" and "Westside Exam Anxiety Scale" will be re-administered to the 3rd and 4th year students of the Faculty of Health Sciences. |
Who may qualify
- Ages
- 18 to 30 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (3 listed)
- Being a 3rd and 4th year student at Sinop University Faculty of Health Sciences in the 2023-2024 fall academic year
- Volunteering to participate in the research and
- Signing the informed consent form
Key exclusion criteria (3 listed)
- Not to be a 3rd or 4th year student at Sinop University Faculty of Health Sciences in the 2023-2024 fall academic year
- Not volunteering to participate in the research
- Not signing the informed consent form
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 |
|---|---|---|
| Experimental Group (Educational content; ChatGPT and Google Bard training)Educational content; ChatGPT and Google Bard training for senior students of the Faculty of Health Sciences who volunteered to participate in the study was provided by Dr. Lecturer It will be given by member Yasemin Özyer Güvener. After the training is completed, students will be asked to use generative artificial intelligence for educational purposes. During the posttest implementation of the study (one week before the final exams), the Personal Information Form, "Attitude Scale Towards Artificial Intelligence" and "Westside Exam Anxiety Scale" will be re-administered to the 3rd and 4th year students of the Faculty of Health Sciences. | Behavioural | Experimental Group |
Primary outcome
Attitude Scale Towards Artificial Intelligence
Time frame: One Day
This scale was developed by Schepman and Rodway (2020) to measure individuals' general attitudes towards artificial intelligence. The scale contains 20 items, 12 positive and 8 negative. Items are scored with a five-point Likert-type rating scale (from 1=strongly disagree to 5=strongly agree). The validity and reliability study of the attitude scale towards artificial intelligence in Turkish was conducted by Feridun et al. (2022).
1 secondary outcome
Westside Test Anxiety Scale (WSKS)
Time frame: One day
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 1 Apr 2024.
- 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 Experimental Group (Educational content; ChatGPT and Google Bard training) in people with Nurse's Role and Anxiety, run by Sinop 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 3 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 1 Apr 2024. 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?
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?
Attitude Scale Towards Artificial Intelligence (time frame: One Day). 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 1 Apr 2024.