AI Integration in Academic Writing

NCT ID: NCT06732947

Last Updated: 2024-12-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-12-31

Study Completion Date

2025-01-31

Brief Summary

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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

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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.

Conditions

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Artificial Intelligence (AI) Qualitative Research

Keywords

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

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Study Groups

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university students between age of 20 and 22

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* university students between the ages of 20 and 22.
Minimum Eligible Age

20 Years

Maximum Eligible Age

22 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Kafrelsheikh University

OTHER

Sponsor Role lead

Responsible Party

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Ahmed Ali Mohammed Torad

Lecturer

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Reda Fathi Elbosaty, bachelor student

Role: PRINCIPAL_INVESTIGATOR

Faculty of physical therapy, kafrelsheikh university

Noran Abdallah Essa, bachelor student

Role: PRINCIPAL_INVESTIGATOR

Faculty of physical therapy, kafrelsheikh university

Ahmed Ali Torad, PhD, lecturer

Role: PRINCIPAL_INVESTIGATOR

Faculty of physical therapy Kafrelsheikh university

Tamer Mohamed El-Saeed, PhD, associate professor

Role: STUDY_DIRECTOR

Cairo University

Locations

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Kafrelsheikh University

Kafr ash Shaykh, Kafr el-Sheikh Governorate, Egypt

Site Status

Countries

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Egypt

Central Contacts

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Reda Fathi Elbosaty, bachelor student

Role: CONTACT

Phone: +201555401579

Email: [email protected]

Noran Abdallah Essa, bachelor student

Role: CONTACT

Phone: +201069700624

Email: [email protected]

Facility Contacts

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Abdelrazek Youssef Desouky, PhD, prof

Role: primary

Ismail Ismail ElSayed, PhD, prof

Role: backup

Other Identifiers

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KFSIRB200-434

Identifier Type: -

Identifier Source: org_study_id