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Instructor Name

Ikenna Uwanuakwa

Category

Webinar

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Course Description

The webinar titled "Improve your Academic Research Writing with ChatGPT: Ethical Approach" focuses on teaching academic researchers how to use ChatGPT to enhance their manuscript writing while adhering to academic writing ethics. The webinar provides insights on the ethical considerations to be taken into account when using AI language models such as ChatGPT for research writing. The webinar also covers the best practices for using ChatGPT as a writing tool and how to ensure that AI-assisted writing is in line with ethical and academic standards. The goal of the webinar is to equip researchers with the knowledge and tools necessary to use ChatGPT effectively in their research writing while maintaining academic integrity.


Participation Certificate

After the webinar is completed, the certificate of participation will be activated. This webinar is free of charge, however, a fee is required if you want to receive a participation certificate.


 

PAYMENT BY BANK TRANSFER

Apart from credit card payments, you can make your payment by transferring to the UBAN number.

Account Number: 10-304-0000134885 – NEAR EAST UNIVERSITY LTD.

Near East Bank – UBAN: CT16139050100103040000134885

It is mandatory to write your Name – Surname and E-mail address during payment by money order.

After the payment, send your receipt to info.estudybox@neu.edu.tr with your Name – Surname, and E-mail address.

Course Curriculum

1 Improve your Academic Research Writing with ChatGPT: Ethical Approach
48 Min


Instructor

Ikenna Uwanuakwa

0 Rating
0 Reviews
50 Students
1 Courses

Dr. Ikenna Uwanuakwa is currently serving as Assistant Professor in Near East

University, He graduated with a degree in Architecture and Civil Engineering and later

earned a Master's and PhD in Civil Engineering from Near East University. His research

interests revolve around construction materials and computer applications in civil

engineering, particularly in computer vision object detection, optimization, and

prediction modeling. He has published notable research outcomes in these fields,

particularly in construction materials and computer applications in civil engineering.

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