Clinical trial NCT06732947: AI Integration in Academic Writing
Official title: AI Integration in Academic Writing: a Study on Qualitative Research in Physical Therapy Education
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Artificial Intelligence (AI)
Qualitative Research
Keywords: AI integrating
academic writing
artificial intellegance
AI in education
AI tools
physical therapy students
Lead sponsor: Kafrelsheikh University
Sponsor class: OTHER
First posted: 2024-12-13
Enrollment: 100
Sex: ALL
Minimum age (years): 20
Maximum age (years): 22
Standard ages: ADULT
Accepts healthy volunteers: yes
Observational model: CASE_ONLY
Time perspective: RETROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: kafrelsheikh university students

Brief 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.

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.

Eligibility criteria: Inclusion Criteria:

* university students between the ages of 20 and 22.

Exclusion Criteria:

* no exclusion criteria

Primary outcomes:
measure: percentage of AI-generated content within the text of each assignment.
timeFrame: During the procedure
measure: Incidence of Structure & Organization (SO) by Sapling AI detector website
timeFrame: During the procedure
measure: Rate Writing Clarity (WC) by Sapling AI detector website
timeFrame: During the procedure
measure: Rate of Knowledge (Know) by Sapling AI detector website
timeFrame: During the procedure
Secondary outcomes:
Other outcomes:
Locations:
city: Kafr Ash Shaykh
country: Egypt
facility: Kafrelsheikh University
Study officials:
affiliation: Faculty of physical therapy, kafrelsheikh university
name: Reda Fathi Elbosaty, bachelor student
role: PRINCIPAL_INVESTIGATOR
affiliation: Faculty of physical therapy, kafrelsheikh university
name: Noran Abdallah Essa, bachelor student
role: PRINCIPAL_INVESTIGATOR
affiliation: Faculty of physical therapy Kafrelsheikh university
name: Ahmed Ali Torad, PhD, lecturer
role: PRINCIPAL_INVESTIGATOR
affiliation: Cairo University
name: Tamer Mohamed El-Saeed, PhD, associate professor
role: STUDY_DIRECTOR
References: