Nursing Students' Attitudes Towards Artificial Intelligence and Exam Anxiety Levels

NCT06217926 | Completed

• 1 other identifier: sinopUyasemin-2
• Study Type: interventional
• Target: 211
• Locations: 1 country
• Sites: 1

Brief 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 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

Conditions

Nurse's Role; Anxiety; Educational Problems

Keywords

nursing students; exam anxiety; generative artificial intelligence; ChatGPT, Google Bard

Outcome Measures

Primary Outcomes (1)

• 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).

  One Day

Secondary Outcomes (1)

• Westside Test Anxiety Scale (WSKS)

  One day

Study Arms (2)

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.

Behavioral: Experimental Group (Educational content; ChatGPT and Google Bard training)

Interventions

Experimental Group (Educational content; ChatGPT and Google Bard training) BEHAVIORAL

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.

Experimental Group

Eligibility Criteria

• Age: 18 Years - 30 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• 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

You may not qualify if:

• 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

Sponsors & Collaborators

• Sinop University: lead

Study Sites (1)

Yasemin Özyer Güvener

Sinop, 57000, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Anxiety Disorders

Condition Hierarchy (Ancestors)

Mental Disorders

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NON RANDOMIZED
• Masking: DOUBLE
• Who Masked: PARTICIPANT, INVESTIGATOR
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: December 19, 2023
• First Posted: January 23, 2024
• Study Start: January 25, 2024
• Primary Completion: February 25, 2024
• Study Completion: March 4, 2024
• Last Updated: April 1, 2024

Record last verified: 2024-03

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)