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NCT Number: NCT06732947

AI Integration in Academic Writing

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.

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Key information

Age range

20 year–22 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Kafrelsheikh University

Kafr ash Shaykh, Kafr el-Sheikh Governorate, 33516, Egypt

Location contact

Abdelrazek Youssef Desouky, PhD, prof

CONTACT

[email protected]

002- 047-3109590

Ismail Ismail ElSayed, PhD, prof

CONTACT

+201017524003

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • university students between the ages of 20 and 22.

Exclusion criteria

  • no exclusion criteria

Treatment and study plan

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

    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.

  3. 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

  4. 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Noran Abdallah Essa, bachelor student

CONTACT

[email protected]

+201069700624

Reda Fathi Elbosaty, bachelor student

CONTACT

[email protected]

+201555401579

Sponsors and collaborators

Lead sponsor

Kafrelsheikh University

Other

Registry information

Official study title

AI Integration in Academic Writing: a Study on Qualitative Research in Physical Therapy Education

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Dec 13, 2024
Registry last updated
Dec 13, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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