Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • TR
About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Tourism
  2. Department of Tour Guiding
  3. Course Structure Diagram with Credits
  4. English VII
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İNG437 - English VII VII. SEMESTER 3 +3 6.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ÖĞR. GÖR. FİGEN DÖNMEZ, ÖĞR. GÖR. ÖZMEN ALTAN
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites This course builds upon the language skills acquired in previous levels and aims to enhance students’ advanced academic and professional English communication skills.
Courses Recomended None.
Recommended Resources None.
Work Placement No.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Week 1 – Course Introduction and Conceptual Framework Course objectives, expectations, and assessment system Introduction to artificial intelligence and its relation to tourism guiding Overview of the five main evaluation criteria Task: Students select an AI-based tourism application for analysis
Week - 2 Week 2 – Tourism Guiding Skills and English Terminology Core guiding skills: communication, cultural narration, orientation Related English terminology Sample application analysis: How to define a “learning area”
Week - 3 Week 3 – Criterion 1: Learning Area and Method (I) Analyzing which guiding skills the application focuses on English expressions for various learning types (simulation, AR, chatbot, quiz) Academic sentence-building exercises
Week - 4 Week 4 – Criterion 1: Learning Area and Method (II) Defining the target level (students, professionals, trainees) How to present “learning method & target audience” in the PPT Group work: comparison of three sample applications
Week - 5 Week 5 – Criterion 2: Artificial Intelligence Features (I) Ways AI technology is applied Examples: personalization, route creation, voice guidance Describing AI functions in text (use, enable, generate, analyze, etc.)
Week - 6 Week 6 – Criterion 2: Artificial Intelligence Features (II) Understanding real-time feedback Writing comparative sentences with non-AI alternatives Assignment: Describe which features of the chosen app are AI-based
Week - 7 Week 7 – Criterion 3: Content and Personalization (I) Evaluating content variety: historical, gastronomy, nature tours, etc. English sentence patterns for “variety of content” Mini writing task: describing the application’s content offerings
Week - 8 Week 8 – Criterion 3: Content and Personalization (II) User-based personalization (age, interests, needs, time limits) Explaining additional features in English (AR maps, certifications, etc.) Peer feedback: students evaluate each other’s texts
Week - 9 Week 9 – Criterion 4: User Experience and Accessibility (I) Concept of user experience (UX) in tourism apps Examples of user-friendly interfaces Speaking activity on “ease of use” and “accessibility”
Week - 10 Week 10 – Criterion 4: User Experience and Accessibility (II) Platform diversity: Mobile, Web, AR/VR, smartwatch integration Language support and translation features Group activity: examples of multilingualism in tourism apps
Week - 11 Week 11 – Criterion 5: Price and Accessibility (I) The freemium model and free features Describing the advantages of premium packages Creating an academic comparison table: “Free vs Premium features”
Week - 12 Week 12 – Criterion 5: Price and Accessibility (II) Examples of offline access Writing a paragraph on “accessibility and affordability” Drafting a presentation outline combining all five criteria
Week - 13 Week 13 – Student Presentations (I) Students present their selected AI-supported applications in English Rubric-based evaluation (language, content, visuals, delivery) Feedback and class discussion
Week - 14 Week 14 – Student Presentations (II) & General Evaluation Continuation of presentations and in-class evaluation Self-assessment form based on the five criteria Overall course reflection and feedback

No content has been provided.

No content has been provided.

No content has been provided.


Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

Info on the Institution

  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance

Info on Degree Programmes

  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education

Info for Students

  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students
  • Insurance
  • Financial Support for Students
  • Student Affairs Office

Info for Students

  • Learning Facilities
  • International Programmes
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Clubs