SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS

GRA501

Course Code: GRA501
Semester: First Term (Fall)
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Compulsory Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

First Term (Fall)

ECTS

Name of Lecturer(s)

Professor Eylem Tataroğlu

Learning Outcomes

At the end of this course, the students;

Gain the ability to define, delimit, and substantiate a scientific problem by comprehending the logic of scientific thinking, inquiry, and research.
Acquire the competence to select appropriate methods and techniques for research purposes by comparing quantitative, qualitative, and mixed research approaches.
Develop the skill to access, classify, and critically evaluate scientific sources using academic databases and literature review strategies.
Demonstrate the competence to apply various citation and referencing systems, particularly APA, in accordance with scientific writing standards.
Acquire the ability to produce consistent and defensible texts in an academic style, mastering scientific writing language and article structure.
Develop an awareness of utilizing artificial intelligence and digital tools in scientific research processes within the framework of ethical principles, academic integrity, and transparency.
Gain the skill to identify, analyze, and develop solutions for ethical issues that may arise during scientific research and publication processes.
Acquire the competence to respond to reviewer feedback in an academic manner by understanding peer-review processes, evaluation criteria, and revision stages.
Develop the ability to effectively manage time, project stages, and the production process by planning the scientific research cycle.
Attain the proficiency to prepare a scientific manuscript of publishable quality based on the work produced throughout the course.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

Course Contents

WEEK	TOPICS
1^st Week	Scientific Thinking, Researcher Identity, and the Reality of Artificial Intelligence. What is scientific knowledge, and how is it produced? Researcher responsibility. The place of artificial intelligence in academia: tool or author? (No). ASSIGNMENT 1 Introduction: Research Area + Problem Definition (AI-supported brainstorming is free, text writing is the student's responsibility).
2^nd Week	Research Approaches and Topic Clarification with Artificial Intelligence, Quantitative/qualitative/mixed methods, Research paradigm Topic narrowing and question generation techniques with artificial intelligence, AI APPLICATION, Prompt writing, output critique, restructuring
3^rd Week	Research Problem, Objective and Research Questions, Scientific problem writing, Objective? Sub-objective, Research question vs. hypothesis, ASSIGNMENT 1 Submission, ASSIGNMENT 2 Introduction: Research Questions and Objective Text (AI output + critical revision required).
4^th Week	Literature Review and Source Finding with Artificial Intelligence, Google Scholar, Scopus, WoS, Literature mapping with artificial intelligence, The danger of ?source fabrication,? WORKSHOP: Weeding out fake sources in AI output.
5^th Week	APA and Other Citation Systems: APA 7 (mandatory), Chicago/MLA differences, In-text citation ? reference list relationship, ASSIGNMENT 2 Submission, ASSIGNMENT 3 Introduction: Literature Review + APA 7-compliant Reference List
6^th Week	Academic Writing Language and Text Improvement with Artificial Intelligence, Academic language, Language correction with artificial intelligence (ethical boundaries), Use of AI as an editor: AI APPLICATION, Comparison of the same text with and without AI.
7^th Week	Quantitative and Qualitative Methods Research Design Data Collection Tools Writing the Methods Section ASSIGNMENT 3 Submission ASSIGNMENT Introduction: Methods Section (AI-assisted draft + student writing).
8^th Week	Data Collection Tools and Ethical Processes Surveys, interviews, document analysis Ethics committee, permissions Ethical boundaries of data generation using artificial intelligence.
9^th Week	Data Analysis and Artificial Intelligence Quantitative data interpretation (basic level) Qualitative coding AI-based theme suggestion ? automatic analysis ASSIGNMENT 4 Submission ASSIGNMENT 5 Introduction: Findings and Interpretation Section
10^th Week	Scientific Article Structure and Journal Selection IMRAD structure Journal guidelines Tables, figures, and citations according to APA WORKSHOP: Taking apart and putting together an article according to APA
11^th Week	Publication Ethics, Plagiarism, and Artificial Intelligence Types of Plagiarism Artificial Intelligence Usage Statement Examples of Ethical Violations ASSIGNMENT 5 Submission ASSIGNMENT 6 Introduction: Publication Ethics Case Study (Including AI)
12^th Week	Peer Review, Revision, and AI-Assisted Response Writing Reading the peer review report Writing the revision letter Converting the AI-generated response draft into academic language ASSIGNMENT 6 Submission ASSIGNMENT 7 Introduction: Article Draft (in APA format).
13^th Week	Article Writing and APA Checking Workshop In-text citation checking Bibliography text consistency AI-supported final proofreading.
14^th Week	Final Presentations ASSIGNMENT 7 Submission ASSIGNMENT 8 (FINAL) APA 7-Compliant Scientific Article + Artificial Intelligence Usage Statement ASSIGNMENTS Research Problem 1. Research Questions 2. Literature + APA References 3. Methods Section 4. Findings and Interpretation 5. Publication Ethics Case Analysis 6. Article Draft 7. Final: Publication-Ready Article

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5	LO6	LO7	LO8	LO9	LO10
K1			X
K2	X									X
K3	X	X	X		X	X	X			X
K4							X			X
K5						X			X	X
K6						X	X		X	X
K7	X	X		X						X
K8										X
K9		X				X				X
K10			X				X		X	X
K11			X					X		X
K12										X
K13	X				X		X	X	X	X
K14			X		X				X	X
K15			X			X		X		X
K16							X	X	X	X
K17	X			X		X	X	X	X	X