ClinicalTrials.gg
Not yet recruitingNCT06732947Updated Dec 13, 2024

AI Integration in Academic Writing

An observational study in Artificial Intelligence (AI) and Qualitative Research, sponsored by Kafrelsheikh University. Not yet recruiting at 1 site in Egypt. Open to participants aged 20 Years to 22 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-12-13.

Sponsored by Kafrelsheikh University · Observational

From the registry’s dates

  • Primary completion was expected by Jan 2025, 1 year 9 months ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Case-only
Time perspective
Retrospective
Enrollment
100
Ages
20 Years to 22 Years
Sex
All
01

Study 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 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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
02

Conditions studied

  • Artificial Intelligence (AI)
  • Qualitative Research

Keywords

  • AI integrating
  • academic writing
  • artificial intellegance
  • AI in education
  • AI tools
  • physical therapy students
03

In context

Lead sponsor

Kafrelsheikh University is the lead sponsor of 291 studies on the registry; 112 are open to participants now.

Of its 10 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
20 Years to 22 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

kafrelsheikh university students

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • university students between the ages of 20 and 22.

Exclusion criteria

Exclusion Criteria:

  • no exclusion criteria
05

Study design

Observational model
Case-only
Time perspective
Retrospective
Enrollment
100 participants (estimated)
Patient registry
No

Groups and cohorts

  • university students between age of 20 and 22
06

What researchers measure

Primary outcomes

  1. percentage of AI-generated content within the text of each assignment.

    Time frame: During the procedure

  2. 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.

    Time frame: During the procedure

  3. 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

    Time frame: During the procedure

  4. 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.

    Time frame: During the procedure

07

Study locations

1 site
  • Kafrelsheikh University
    Kafr ash Shaykh, Kafr el-Sheikh Governorate 33516, Egypt
    • Abdelrazek Youssef Desouky, PhD, prof · Contact · president@kfs.edu.eg · 002- 047-3109590
    • Ismail Ismail ElSayed, PhD, prof · Contact · +201017524003
08

References and documents

Individual participant data

Plan to share: Undecided — Data will be shared upon reasonable request from the principal investigator.

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Dec 2024; primary completion for Jan 2025, 1 month later.

How these figures are worked out, and which studies are left out of them.

Registered
Nov 29, 2024
First posted
Dec 13, 2024
StartEst.
Dec 2024
Primary completionEst.
Jan 2025
CompletionEst.
Jan 2025
Last update
Dec 13, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Dec 13, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06732947
Responsible party
Ahmed Ali Mohammed Torad (Lecturer, Kafrelsheikh University) — Principal investigator
First posted
Dec 13, 2024
Start date
Dec 2024 (estimated)
Primary completion
Jan 2025 (estimated)
Completion
Jan 2025 (estimated)
Last update
Dec 13, 2024

Study contacts

Reda Fathi Elbosaty, bachelor student
Contact
redafathi015@gmail.com
+201555401579
Noran Abdallah Essa, bachelor student
Contact
noraneisa36@gmail.com
+201069700624
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
Tamer Mohamed El-Saeed, PhD, associate professor
study director · Cairo University

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Dec 2024. You cannot join it, but the record below documents what was studied.

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