Nursing Students' Attitudes Towards Artificial Intelligence and Exam Anxiety Levels

March 29, 2024 updated by: Sinop University

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

Study Overview

Status

Completed

Conditions

Intervention / Treatment

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 Type

Interventional

Enrollment (Actual)

211

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Turkey
      • Sinop, Turkey, 57000
        • Yasemin Özyer Güvener

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • 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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control Group

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: Experimental Group

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.
Behavioral: 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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).
One Day

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Westside Test Anxiety Scale (WSKS)
Time Frame: One day
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.
One day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Sinop University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 25, 2024

Primary Completion (Actual)

February 25, 2024

Study Completion (Actual)

March 4, 2024

Study Registration Dates

First Submitted

December 19, 2023

First Submitted That Met QC Criteria

January 22, 2024

First Posted (Actual)

January 23, 2024

Study Record Updates

Last Update Posted (Actual)

April 1, 2024

Last Update Submitted That Met QC Criteria

March 29, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • sinopUyasemin-2

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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