"Educational Impact and Considerations of AI Tools in Higher Education System”

 Abstract:

This paper explores the academic influence and considerations of students’ use of Artificial Intelligence tools using Large Language Models (LLMs) such as ChatGPT in formal assessments. We examine the evolution of these tools and highlight potential ways that LLMs can support student learning in digital writing and beyond, in addition to the teaching of writing and composition by humans and AI. This system facilitates learners to gain knowledge, and possibilities for co-creation between, supporting EFL learners, and improving automated writing assessment (AWE). We describe and demonstrate the potential that these tools have in creating original, coherent text that can avoid detection by existing technological methods of detection and trained educational staff alike, demonstrating a major academic influence concern related to the use of these tools like Chat-GPT by students. Analyzing the various issues related to academic integrity that LLMs raise for both higher education institutions and students, we conclude that it is the use of AI tools It is not student use that defines whether plagiarism or a breach of academic integrity has occurred, but whether any use has been made. Explained by students. Deciding whether a particular use of LLMs by students can be described as academic misconduct is determined by any HEI's GPT-3 integrity policies, which is important to consider. How the tools will be used in future educational environments. 

• Use of these tools will not necessarily be considered plagiarism if students are transparent about how they are used in any submission. However, this may be a violation of any higher education institution's academic integrity policies.
• These tools have legitimate uses in supporting the education system, and meaning that HEIs should carefully consider how policies regarding student use of this software are created.
• These AI tools sometimes generate plagiarized data and impact on educational considerations in HEC.