ELT565 Evaluation in English Language Teaching


ELT565 Evaluation in English Language Teaching

Syllabus   |  International University of Sarajevo  -  Last Update on Mar 03, 2026

Referencing Curricula

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English language and literature, Teaching

Academic Year
2025 - 2026
Semester
Spring
Course Code
ELT565
Weekly Hours
2 Teaching + 1 Practice
ECTS
6
Prerequisites
None
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
II Cycle
Prof. Jane Doe

Almasa Mulalić

Course Lecturer

Position
Full Professor Dr.
Phone
033 957 -
Assistant(s)
-
Assistant E-mail

Course Objectives

-develop knowledge and understanding of the basic principles of assessment of students learning a foreign language -provide practical experience in developing plans and projects for assessment and evaluation of students and educational intervention. -introduces students with basic skills for analyzing and presenting data -develop an understanding of the basic principles of standardized testing

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Use knowledge and understanding of basic principles of assessment
2
Demonstrate practical experience in developing plans and projects for assessment and evaluation of students and education interventions
3
Use the skills acquired on this subject to analyze and present data
4
Developed quantitative and high-quality instruments for collecting data related to student evaluation
5
Employ standardized assessments themselves and develop student evaluation tests
6
Conducting quality educational evaluations of the student

Course Materials

Required Textbook

Fulcher, G. and Davidson, F. (2012) The Routledge Handbook of Language Testing. Routledge.

Additional Literature
Huges. A. (1992). Testing for Language Teachers. Cambridge University Press. Mousavi, S. A. (2009). An encyclopedic dictionary of language testing (4th ed.).Tehran, Iran; Rahnama Publications. Fulcher, G., & Davidson, F. (Eds.). (2012). The Routledge handbook of language testing. Abingdon, UK: Routledge. Kunnan, A. J. (2014). The companion to language assessment. New York, NY:John Wiley & Sons. Brown, H. D., Abeywickrama, P. (1918). Language Assessment, Principles and Classroom Practices. Pearson.

Teaching Methods

Lectures in the form of short lectures and examinations; case research (through group analysis and discussion); analysis of peer presentation (through providing peer feedback); written assignments (through topics that have been previously determined
Which will require research and synthesis of collected data); student presentations

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Conceptions of validity Textbook; 21-34
2 Articulating a validity argument Textbook; 34-48
3 Validity issues in designing accommodations for English language learners Textbook; 48-63
4 Classroom assessment Textbook; 66-78
5 Washback Textbook; 79-92
6 Assessing young learners Textbook; 93-105
7 Diagnostic assessment in language classrooms Textbook; 120-134
8 MIDTERM EXAM Textbook; 1-190
9 Designing language tests for specific social uses Textbook; 136-149
10 Language assessment for immigration and citizenship Textbook; 161-177
11 Social dimensions of language testing Textbook; 178-194
12 Test specifications and criterion referenced assessment Textbook; 195-207
13 Evidence-centered design in language testing Textbook; 208-222
14 Claims, evidence, and inference in performance assessment 223-234
15 Revission additional literature

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
ELT565.1 Course Monday 17:00 - 19:50 B F2.6 - -

Office Hours & Room

DayTimeOfficeNotes
Monday 09:00 - 11:00 B F2.7C
Tuesday 09:00 - 11:00 B F2.7C
Wednesday 09:00 - 11:00 B F2.7C
Thursday 09:00 - 11:00 B F2.7C
Friday 09:00 - 11:00 B F2.7C

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1   2   3   4

40%x1
Term Project
AI: Not Allowed

Alignment with Learning Outcomes :  2   3

20%x1
Presentation
AI: Not Allowed

Alignment with Learning Outcomes :  1   2   4

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 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:

Lecture hours

45 hours ⏳ (15 week × 3 h)

Assignments

40 hours ⏳ (4 week × 10 h)

Active tutorials

21 hours ⏳ (7 week × 3 h)

Home study

14 hours ⏳ (14 week × 1 h)

In term exam study

10 hours ⏳ (1 week × 10 h)

Final exam study

14 hours ⏳ (1 week × 14 h)

Term project presentation

6 hours ⏳ (2 week × 3 h)

150 Total Workload Hours

6 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 [ELT565] 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.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

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.

Think Critically in Assignments

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.

Ask Questions Early

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 Mar 03, 2026 | International University of Sarajevo

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