TLT572 Advanced Teaching Practice
Syllabus | International University of Sarajevo - Last Update on May 05, 2026
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Turkish language and literature, Teaching
Course Objectives
Students will practice the acts of lesson planning, instruction and assessment in a Turkish as a foreign language teaching course. They are expected to observe and reflect on the teaching decisions of their course mentors and self-reflect on their own teaching styles and philosophies. They are expected to plan and deliver a lesson.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Durmuş, M. Okur, A. Yabancılara Türkçe Öğretimi, Grafiker Yayınları, Ankara 2013.
Additional Literature
Yıldız, C. Okur, A. Arı, G. Yılmaz, Y. Yeni Öğretim Programına Göre Kuramdan Uygulamaya Türkçe ÖğretimiTeaching Methods
Observation of teaching practice
Research
And personal teaching practice as well as attending regular weekly meetings with their teaching mentor.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction | |
| 2 | Climate Building | |
| 3 | Climate Building | |
| 4 | Participation in the Learning Process | |
| 5 | Participation in the Learning Process | |
| 6 | Assessing Student Needs | |
| 7 | Assessing Student Needs | |
| 8 | Flexibility for Personal Development | |
| 9 | Flexibility for Personal Development | |
| 10 | Relating to Experience | |
| 11 | Relating to Experience | |
| 12 | Learner-centered activities | |
| 13 | Learner-centered activities | |
| 14 | Personalizing instruction | |
| 15 | Personalizing instruction |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Teaching Performance
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Observation reports
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Mentor's report
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 12 ECTS credit course corresponds to 300 hours of total student workload, distributed as follows:
Classroom observation
90 hours ⏳ (15 week × 6 h)
Writing observation reports
90 hours ⏳ (15 week × 6 h)
Planning a lesson and writing a detailed lesson plan
20 hours ⏳ (2 week × 10 h)
Delivering / teaching a lesson (preparation included)
10 hours ⏳ (2 week × 5 h)
Consultation sessions with the teaching mentor
45 hours ⏳ (15 week × 3 h)
Consultation sessions with the FEDU instructor
45 hours ⏳ (15 week × 3 h)
300 Total Workload Hours
12 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [TLT572] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on May 05, 2026 | International University of Sarajevo
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Referencing Curricula Print this page
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Teaching Performance | 1 | 40 | 1,2,3,4,5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Observation reports | 4 | 40 | 1,2,3,4,5 | Not Allowed | |
| Mentor's report | 1 | 20 | 1,2,3,4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Classroom observation | 6 | 15 | 90 | Writing observation reports | 6 | 15 | 90 | |||
| Planning a lesson and writing a detailed lesson plan | 10 | 2 | 20 | Delivering / teaching a lesson (preparation included) | 5 | 2 | 10 | |||
| Consultation sessions with the teaching mentor | 3 | 15 | 45 | Consultation sessions with the FEDU instructor | 3 | 15 | 45 | |||
| 0 | 0 | |||||||||
| 0 | 0 | |||||||||
| Total Workload Hours = | 300 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 12 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 15/05/2026 | |||||||||