Information Package / Course Catalogue
Aı-Supported Academic Writing and Ethics
Course Code: MTE536
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The course aims to develop academic writing skills and promote the ethical use of artificial intelligence in this process. It provides a roadmap for preparing assignments, reports, theses, conference papers, and articles in accordance with academic writing conventions, artificial intelligence, and ethical principles.

Course Content

This course will cover how to prepare an academic text for publication, focusing on the introduction, literature review, methodology, findings, conclusions, discussion, and limitations sections. It will also cover the use of artificial intelligence in academic writing and the use of plagiarism detection software.

Name of Lecturer(s)
Learning Outcomes
1.Writes a scientific article holistically in accordance with the principles of academic writing.
2.In academic writing, he prepares his work in a manner consistent with the ethical use of artificial intelligence.
3.Uses artificial intelligence tools to cite sources and prepare a bibliography in accordance with the APA style guide.
4.It makes revisions with the help of artificial intelligence based on the plagiarism report.
5.During the academic writing process, they choose the AI tool that best suits their needs.
Recommended or Required Reading
1.Day, R. A. (2000) Bilimsel Bir Makale Nasıl Yazılır ve Yayımlanır. TÜBİTAK Yayınları.
2.Yalçınkaya, Ayhan, Mazerete Mahal Yok: Sosyal Bilim Öğrencileri İçin Eğlencelik Bir Ödev, Lisansüstü Öğretim ve Tez Kılavuzu, Ankara: Siyasal Kitabevi, 2011.
3.Parija, S. C., & Kate, V. (Eds.). (2017). Writing and publishing a scientific research paper. Springer.
4.Swales, J. M., & Feak, C. B. (2004). Academic writing for graduate students: Essential tasks and skills. Ann Arbor, Mich: University of Michigan Press.
5.Haber, E., Jemielniak, D., Kurasinski, A., & Przegalinska, A. (2025). Using AI in Academic Writing and Research A Complete Guide to Effective and Ethical Academic AI. Palgrave: Macmillan. https://doi.org/10.1007/978-3-031-91705-9
Weekly Detailed Course Contents
Week 1 - Theoretical
Course Overview: Scope, Rationale, Importance, Rules, and Requirements
Week 2 - Theoretical
Academic Writing: Purpose and Types (Scientific Report - Conference Paper - Poster - Thesis - Article, etc.)
Week 3 - Theoretical
Google Scholar, WOS, Scopus, SCI, SSCI, and other databases and their use
Week 4 - Theoretical
Artificial Intelligence and Large Language Models in Academic Writing.
Week 5 - Theoretical
Writing prompts. Basic AI tools: ChatGPT, Claude, Gemini, and Copilot
Week 6 - Theoretical
Writing the Introduction and Literature Review. AI tools: Perplexity AI, Consensus, Scite.ai, Elicit, PaperPal, etc.
Week 7 - Theoretical
Proofreading and translation of written text. AI tools such as Piri AI, Transleyt, Grammarly, DeepL, etc.
Week 8 - Theoretical
Writing the Methods Section: Analysis of Sample Articles/Theses
Week 9 - Theoretical
Writing the Results Section. Analysis of sample articles/theses. AI tools: Numerous.Ai, Energent.Ai, JuliusAi, etc.
Week 10 - Theoretical
Writing the discussion and conclusion sections. Review of sample articles/theses. AI tools such as ChatPDF, Humata, Scholarcy, ChatDoc, etc.
Week 11 - Theoretical
Abstract, keyword selection, and title creation. AI tools such as EssayBot, etc.
Week 12 - Theoretical
Ethical principles in academic writing, plagiarism, and similarity checks. Tools: İntihal.net, Turnitin, Quillbot, etc.
Week 13 - Theoretical
Selecting the right journal, communicating with the editor, and responding to reviewers. Using Journal Finder
Week 14 - Theoretical
APA Style Guide / Types of Citations. Creating a Bibliography. Analysis of a Sample Article/Thesis. AI Tools (Zotero, Mendeley, etc.)
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Assignment55025
Reading59045
Midterm Examination19211
Final Examination110313
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
OÇ-1
4
5
5
2
4
4
5
5
4
3
OÇ-2
4
4
4
5
OÇ-3
3
4
3
3
4
OÇ-4
3
4
3
3
4
OÇ-5
4
5
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026