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EDITING AND PROOFREADING IN THE AGE OF AI COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
ETI403 EDITING AND PROOFREADING IN THE AGE OF AI 7 3 3 7

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Introduction to Class -
2 - Concepts of editing, copyediting, revision, proofreading, rewriting, and post-editing; the role of the editor in the text production process; differences between editing and proofreading; determining the appropriate level of intervention in sample texts. In-class discussion
3 - Text purpose, author expectations, target audience, publishing context, language variety, and style guide; preparing an editing brief; comparing levels of intervention for different text types. In-class discussion
4 - Capitalization, apostrophes and quotation marks, hyphens and dashes, writing numbers, headings, lists, footnotes, and citation styles; bilingual correction practices. In-class discussion
5 - Subject–verb agreement, tense consistency, pronoun reference, incomplete and faulty sentences, overly long sentences, unnecessary passive constructions, ambiguity, and problems of expression; sentence-level editing practice. In-class discussion
6 - Redundant words, repetition, vague expressions, jargon, clichés, and overly indirect language; revising texts in line with the needs and purpose of the target audience. In-class discussion
7 - Paragraph unity, information flow, conjunctions, reference, transitions, relationship between headings and content, and logical sequencing; restructuring a disorganized text. In-class discussion
8 - Academic, technical, institutional, promotional, and everyday styles; distinguishing necessary editorial intervention from the editor’s personal preference; editing texts written in different tones. In-class discussion
9 - Term lists and style guides; checking proper names, institution names, dates, numbers, units of measurement, abbreviations, and references; terminology consistency practice. In-class discussion
10 - MID-TERM EXAM -
11 - Accuracy of meaning, omissions, additions, mistranslation, idioms, cultural elements, tone, and target-language requirements; bilingual revision of human translations. In-class discussion
12 - Hallucinated information, incorrect sources, semantic shifts, repetition, superficiality, monotonous expression, and terminology and style problems; factual and linguistic checking of AI-generated texts. In-class discussion
13 - Preparing editing-oriented prompts; defining the task, target audience, style, and level of intervention; comparing suggestions generated through different prompts; verifying AI-generated suggestions. In-class discussion
14 - Track changes, comments, version comparison, spelling and terminology checkers; incorrect suggestions produced by automated tools; preparing constructive editorial feedback for the author or translator. In-class discussion
15 - Confidentiality, copyright, data security, the author’s voice, academic integrity, and disclosure of AI use; presentation of term projects; comparative evaluation of human and AI interventions. In-class discussion
16 - FINAL EXAM -
17 - FINAL EXAM -