AI Integration in Academic Writing

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.

Study Overview

• Status: Not yet recruiting
• Conditions: Qualitative Research; Artificial Intelligence (AI)

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.

• Study Type: Observational
• Enrollment (Estimated): 100

Contacts and Locations

• Study Contact: Name: Noran Abdallah Essa, Bachelor student; Phone Number: +201069700624; Email: noraneisa36@gmail.com
• Study Contact Backup: Name: Reda Fathi Elbosaty, bachelor student; Phone Number: +201555401579; Email: redafathi015@gmail.com

Study Locations

• Egypt
  • Kafr Ash Shaykh, Egypt, 33516
    • Kafrelsheikh University
    • Contact: Abdelrazek Youssef Desouky, PhD, prof; Phone Number: 002- 047-3109590; Email: president@kfs.edu.eg
    • Contact: Ismail Ismail ElSayed, PhD, prof; Phone Number: +201017524003

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult
• Accepts Healthy Volunteers: Yes

• Sampling Method: Probability Sample

Study Population

kafrelsheikh university students

Description

Inclusion Criteria:

• university students between the ages of 20 and 22.

Exclusion Criteria:

• no exclusion criteria

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort
university students between age of 20 and 22

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
percentage of AI-generated content within the text of each assignment.		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.	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	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.	During the procedure

Collaborators and Investigators

• Sponsor: Kafrelsheikh University
• Investigators: Principal Investigator: Ahmed Ali Torad, PhD, lecturer, Faculty of physical therapy Kafrelsheikh university; Study Director: Tamer Mohamed El-Saeed, PhD, associate professor, Cairo university; Principal Investigator: Reda Fathi Elbosaty, Bachelor student, Faculty of Physical Therapy, Kafrelsheikh University; Principal Investigator: Noran Abdallah Essa, Bachelor student, Faculty of Physical Therapy, Kafrelsheikh University

Study record dates

Study Major Dates

• Study Start (Estimated): December 1, 2024
• Primary Completion (Estimated): January 1, 2025
• Study Completion (Estimated): January 1, 2025

Study Registration Dates

• First Submitted: November 29, 2024
• First Submitted That Met QC Criteria: December 9, 2024
• First Posted (Estimated): December 13, 2024

Study Record Updates

• Last Update Posted (Estimated): December 13, 2024
• Last Update Submitted That Met QC Criteria: December 9, 2024
• Last Verified: December 1, 2024

More Information

Terms related to this study

• Keywords: physical therapy students; AI integrating; academic writing; artificial intellegance; AI in education; AI tools
• Other Study ID Numbers: KFSIRB200-434

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: UNDECIDED
• IPD Plan Description: Data will be shared upon reasonable request from the principal investigator.

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No
• product manufactured in and exported from the U.S.: No