Artificial Intelligence (AI)NCT06732947
AI Integration in Academic Writing
An observational study of Artificial Intelligence (AI) and Qualitative Research, run by Kafrelsheikh University at 1 site in Egypt.
Trial summary
This study aims to explore the effect of AI use on different aspects of writing qualitative research papers by physical therapy students. By examining how AI tools influence various elements of the writing process, such as structure, clarity, knowledge presentation, and critical thinking, this research aims to provide… Read more about this study
- Who is it for?
- Ages 20 to 22 yearsHealthy volunteers can take part
- Conditions the study is for
- Artificial Intelligence (AI), Qualitative Research
- How many people
- 100 participants
- Where
- 1 siteEgypt
- Study dates
- Dec 2024to Jan 2025
- Phase
- Observational
- 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 20 to 22 years
- All sexes
- Healthy volunteers accepted
- Adult
Study population: kafrelsheikh university students
Who may be able to join
- university students between the ages of 20 and 22.
Who cannot join
- no exclusion criteria
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Egypt1 site
Kafrelsheikh University
Kafr ash Shaykh, Kafr el-Sheikh Governorate, 33516
Abdelrazek Youssef Desouky, PhD, prof, 002- 047-3109590, president@kfs.edu.eg
Ismail Ismail ElSayed, PhD, prof, +201017524003
About this study
Official title: AI Integration in Academic Writing: a Study on Qualitative Research in Physical Therapy Education
This study aims to explore the effect of AI use on different aspects of writing qualitative research papers by physical therapy students. By examining how AI tools influence various elements of the writing process, such as structure, clarity, knowledge presentation, and critical thinking, this research aims to provide insights into the benefits and potential drawbacks of AI integration in academic assignments. By recognizing the significance of this research, contribute to understanding how AI can be effectively utilized to enhance the educational experience and improve the writing skills of physical therapy students.
Read the detailed description
This study aims to explore the effect of AI use on different aspects of writing qualitative research papers by physical therapy students. By examining how AI tools influence various elements of the writing process, such as structure, clarity, knowledge presentation, and critical thinking, this research aims to provide insights into the benefits and potential drawbacks of AI integration in academic assignments. By recognizing the significance of this research, contribute to understanding how AI can be effectively utilized to enhance the educational experience and improve the writing skills of physical therapy students.
This study explores how AI can enhance academic writing and analysis in physical therapy education, focusing on how AI tools may support researchers in qualitative work.
This project is significant as it addresses several key benefits and challenges of AI integration in academic writing for qualitative research within physical therapy education:
- Enhancing academic writing skills and motivation: Quantitative analysis reveals significant improvements in both writing skills and motivation among students who received AI-assisted instruction compared to the control group. The experimental group demonstrates enhanced proficiency in various aspects of writing, including organization, coherence, grammar, and vocabulary.
- The importance of transparency:The study provides an understanding of the current landscape of declaring the use of generative AI tools by authors in nursing journals. Future studies could examine the implications of such disclosure on reader perception and the evaluation of research quality. This would help shed light on the effectiveness of disclosure in enhancing transparency and trust in academic writing. Furthermore, developing guidelines or best practices for the appropriate declaration of generative AI usage by authors and reviewers would be beneficial in ensuring consistent and responsible implementation of AI technologies in scholarly research.
- Promising Perspectives and Valid Concerns: The imminent dominant use of LLM technology including the widespread use of ChatGPT in health care education, research, and practice is inevitable. Considering the valid concerns raised regarding its potential misuse, appropriate guidelines and regulations are urgently needed with the engagement of all stakeholders involved to ensure the safe and responsible use of ChatGPT powers. The proactive embrace of LLM technologies with careful consideration of the possible ethical and legal issues can limit the potential future complications.
- ethical consideration: concerns exist about plagiarism and ghostwriting, the unreliability of results, copyright issues, educational gaps due to technological advancement, and decreased learning ability. Educators are concerned about students' reliance on AI. Using ChatGPT to solve writing or computer coding assignments may hinder students' learning, and New York City public schools have blocked access to ChatGPT on campus.
- Conditions
- Artificial Intelligence (AI), Qualitative Research
- Keywords
- AI integrating, academic writing, artificial intellegance, AI in education, AI tools, physical therapy students
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| university students between age of 20 and 22 | Not described |
What is being measured
The primary outcome is the main question the study is designed to answer.
percentage of AI-generated content within the text of each assignment.
Measured: During the procedure
Incidence of Structure & Organization (SO) by Sapling AI detector website
This criterion evaluates the overall layout and logical flow of the research paper. It includes the clarity of the introduction, body, and conclusion, as well as the coherence of arguments and the seamless transition between sections. A well-structured paper should have a clear beginning, middle, and end, with each part contributing to the overall argument or narrative.
Measured: During the procedure
Rate Writing Clarity (WC) by Sapling AI detector website
Writing Clarity assesses the ease with which the reader can understand the text. This includes the use of clear and precise language, the absence of grammatical and typographical errors, and the appropriateness of sentence structure and word choice. A paper with high writing clarity will be easily comprehensible and free from ambiguity
Measured: During the procedure
Rate of Knowledge (Know) by Sapling AI detector website
This criterion measures the depth and breadth of the student's understanding of the subject matter. It includes the accurate representation of key concepts, theories, and research findings related to the topic. A high score indicates that the student has demonstrated a thorough and nuanced understanding of the subject.
Measured: During the procedure
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Dec 2024
- Study startDec 2024 (estimated)
- Primary completionJan 2025 (estimated)
- Study completionJan 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial Intelligence (AI)Studies 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
- Observational
- Observational model
- Case only
- Time perspective
- Retrospective
- Enrolment
- 100 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Kafrelsheikh University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ahmed Ali Mohammed Torad, Kafrelsheikh University
- Investigators
- Reda Fathi Elbosaty, bachelor student, Principal investigator, Faculty of physical therapy, kafrelsheikh universityNoran Abdallah Essa, bachelor student, Principal investigator, Faculty of physical therapy, kafrelsheikh universityAhmed Ali Torad, PhD, lecturer, Principal investigator, Faculty of physical therapy Kafrelsheikh universityTamer Mohamed El-Saeed, PhD, associate professor, Study director, Cairo University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06732947
- Sponsor's protocol ID
- KFSIRB200-434
- Status last verified
- Dec 2024
- First submitted
- 29 Nov 2024
- Last updated
- 13 Dec 2024
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: Data will be shared upon reasonable request from the principal investigator.
Study at a glance
From the registry record, last updated by the sponsor on 13 Dec 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- AI Integration in Academic Writing: a Study on Qualitative Research in Physical Therapy Education
- ClinicalTrials.gov ID
- NCT06732947
- Acronym / sponsor ID
- KFSIRB200-434
- Conditions
- Artificial Intelligence (AI), Qualitative Research
- Keywords
- AI integrating, academic writing, artificial intellegance, AI in education, AI tools, physical therapy students
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 100 participants (estimated)
- Lead sponsor
- Kafrelsheikh UniversityUniversity, hospital or other
- Study start
- Dec 2024 (estimated)
- Primary completion
- Jan 2025 (estimated)
- Study completion
- Jan 2025 (estimated)
- First posted
- 13 Dec 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 aims to explore the effect of AI use on different aspects of writing qualitative research papers by physical therapy students. By examining how AI tools influence various elements of the writing process, such as structure, clarity, knowledge presentation, and critical thinking, this research aims to provide insights into the benefits and potential drawbacks of AI integration in academic assignments. By recognizing the significance of this research, contribute to understanding how AI can be effectively utilized to enhance the educational experience and improve the writing skills of physical therapy students.
Detailed description
This study aims to explore the effect of AI use on different aspects of writing qualitative research papers by physical therapy students. By examining how AI tools influence various elements of the writing process, such as structure, clarity, knowledge presentation, and critical thinking, this research aims to provide insights into the benefits and potential drawbacks of AI integration in academic assignments. By recognizing the significance of this research, contribute to understanding how AI can be effectively utilized to enhance the educational experience and improve the writing skills of physical therapy students.
This study explores how AI can enhance academic writing and analysis in physical therapy education, focusing on how AI tools may support researchers in qualitative work.
This project is significant as it addresses several key benefits and challenges of AI integration in academic writing for qualitative research within physical therapy education:
- Enhancing academic writing skills and motivation: Quantitative analysis reveals significant improvements in both writing skills and motivation among students who received AI-assisted instruction compared to the control group. The experimental group demonstrates enhanced proficiency in various aspects of writing, including organization, coherence, grammar, and vocabulary.
- The importance of transparency:The study provides an understanding of the current landscape of declaring the use of generative AI tools by authors in nursing journals. Future studies could examine the implications of such disclosure on reader perception and the evaluation of research quality. This would help shed light on the effectiveness of disclosure in enhancing transparency and trust in academic writing. Furthermore, developing guidelines or best practices for the appropriate declaration of generative AI usage by authors and reviewers would be beneficial in ensuring consistent and responsible implementation of AI technologies in scholarly research.
- Promising Perspectives and Valid Concerns: The imminent dominant use of LLM technology including the widespread use of ChatGPT in health care education, research, and practice is inevitable. Considering the valid concerns raised regarding its potential misuse, appropriate guidelines and regulations are urgently needed with the engagement of all stakeholders involved to ensure the safe and responsible use of ChatGPT powers. The proactive embrace of LLM technologies with careful consideration of the possible ethical and legal issues can limit the potential future complications.
- ethical consideration: concerns exist about plagiarism and ghostwriting, the unreliability of results, copyright issues, educational gaps due to technological advancement, and decreased learning ability. Educators are concerned about students' reliance on AI. Using ChatGPT to solve writing or computer coding assignments may hinder students' learning, and New York City public schools have blocked access to ChatGPT on campus.
Study design
- Observational model
- Case only
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| university students between age of 20 and 22 | – | – |
Who may qualify
- Ages
- 20 to 22 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
- Study population
- kafrelsheikh university students
Key inclusion criteria (1 listed)
- university students between the ages of 20 and 22.
Key exclusion criteria (1 listed)
- no exclusion criteria
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
percentage of AI-generated content within the text of each assignment.
Time frame: During the procedure
Incidence of Structure & Organization (SO) by Sapling AI detector website
Time frame: During the procedure
This criterion evaluates the overall layout and logical flow of the research paper. It includes the clarity of the introduction, body, and conclusion, as well as the coherence of arguments and the seamless transition between sections. A well-structured paper should have a clear beginning, middle, and end, with each part contributing to the overall argument or narrative.
Rate Writing Clarity (WC) by Sapling AI detector website
Time frame: During the procedure
Writing Clarity assesses the ease with which the reader can understand the text. This includes the use of clear and precise language, the absence of grammatical and typographical errors, and the appropriateness of sentence structure and word choice. A paper with high writing clarity will be easily comprehensible and free from ambiguity
Rate of Knowledge (Know) by Sapling AI detector website
Time frame: During the procedure
This criterion measures the depth and breadth of the student's understanding of the subject matter. It includes the accurate representation of key concepts, theories, and research findings related to the topic. A high score indicates that the student has demonstrated a thorough and nuanced understanding of the subject.
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 13 Dec 2024.
- Individual participant dataSharing planned: Undecided. Data will be shared upon reasonable request from the principal investigator.
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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.
Reda Fathi Elbosaty, bachelor student principal investigator
Faculty of physical therapy, kafrelsheikh university
Noran Abdallah Essa, bachelor student principal investigator
Faculty of physical therapy, kafrelsheikh university
Ahmed Ali Torad, PhD, lecturer principal investigator
Faculty of physical therapy Kafrelsheikh university
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Artificial Intelligence (AI) and Qualitative Research, run by Kafrelsheikh University at 1 site in Egypt.
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 1 inclusion and 1 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: opening soon, as of the sponsor's last update on 13 Dec 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 Egypt. 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?
Contact Reda Fathi Elbosaty, bachelor student (+201555401579, redafathi015@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
percentage of AI-generated content within the text of each assignment. (time frame: During the procedure). The study lists 4 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 13 Dec 2024.