Information Package
baskent.edu.tr

Master's of Computer and Instructional Technologies Education without Thesis (Distance Education)

BOTU642

TECHNOLOGY SUPPORTED MEASUREMENT AND EVALUATION

Course Code
BOTU642
Semester
Third Term (Fall)
Theory+Practice
2 + 2
ECTS
6
Course TypeCompulsory Course
Course LevelMaster's Degree Without Thesis
Year of Study2
SemesterThird Term (Fall)
ECTS6
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Will be able to learn the concepts of measurement and evaluation,
  2. Will be able to learn pros and cons of different technology supported measurement and evaluation tools,
  3. Will be able to design and develop an individual measurement and evaluation software,
  4. Will be able to design an online measurement and evaluation system.
Mode of DeliveryE-Learning
PrerequisitesNo
Recommended Optional Programme ComponentsNo recommendation
Course DescriptionTechnology-assisted assessment of the importance of increasing the effectiveness of education, using computer aided software testing and test preparation, create question banks, evaluation purposes, report generation,
Course Contents
WEEK TOPICS
1st Week Measurement and Evaluation in Education
2nd Week Different Measurement Tools
3rd Week Use of Computers in Measurement and Evaluation
4th Week Computer-Assisted Measurement and Evaluation Systems
5th Week Individualized Testing System Design
6th Week Artificial Intelligence and Measurement-Evaluation
7th Week Individualized Testing System Reporting
8th Week Artificial Intelligence and Measurement-Evaluation
9th Week Formative Assessment Tools
10th Week Ready-Made Portfolio Software
11th Week Measurement and Evaluation in Online Environments
12th Week Project: Designing an Online Measurement System
13th Week Project: Developing and Implementing an Online Measurement System
14th Week Project Presentation: Evaluation of the "Online Measurement System"
Recommended or Required Reading1) Atılgan H. (2009). Eğitimde Ölçme ve Değerlendirme, Anı Yayıncılık, 4. Baskı.

2) Demirel, Ö. ve Yağcı E. (2007). Öğretim Materyallerinin Değerlendirilmesi. Öğretim Teknolojileri ve Materyal Tasarımı, (Editör: Ö. Demirel & E. Altun) Ankara: Pegem A Yayıncılık.

3) Gravetter F. & Wallnau L., B., (1985)Statistics for the Behavivioral Sciences. West Publishing co. Minnesota, USA.

4) Güler, N. (2011). Eğitimde Ölçme ve Değerlendirme, Pegem Akademi Yayınları, Ankara.

5) Hricko, M, Howell, S. L. (2006) Online Assessment And Measurement: Foundations And Challenges.

6) Kutlu, Ö., D. Doğan ve İ. Karakaya. (2008). Öğrenci Başarısının Belirlenmesi. Ankara: Pegem Akademi.

7) Özçelik, D.A.(1999). Test Hazırlama Kılavuzu. Ankara: ÖSYM Yayınları.

8) Tavşancıl E. (2006). Tutumların Ölçülmesi ve SPSS ile Veri Analizi, Nobel Yayın Dağıtım, 3. Baskı.

9) Turgut, M. F. ve Baykul (2012). Eğitimde Ölçme ve Değerlendirme, Pegem Akademi (5. Baskı), Ankara

10) Williams, D.D., Hricko, M. (2006) Online Assessment, Measurement, and Evaluation: Emerging Practices.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Problem Solving
  • Project
Assessment Methods and Criteria
Quantity Percentage (%)
Assignment 4 16
Quiz 1 4
Total(%) 20
Contribution of In-term Studies to Overall Grade(%) 20
Contribution of Final Examination to Overall Grade(%) 80
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam
Preparation for Quiz 1 5 5
Individual or group work 14 2 28
Preparation for Final exam 1 30 30
Course hours 14 4 56
Preparation for Midterm exam
Laboratory (including preparation)
Final exam 1 3 3
Homework 4 15 60
Quiz 1 1 1
Total Work Load183
Total Work Load / 30 (h)6.1
ECTS Credit of the Course6
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4
K1 X X
K2 X X X
K3 X
K4 X
K5 X X
K6
K7 X
K8
K9
K10 X
K11
K12
K13 X
K14
K15
K16 X X X
K17 X X X
K18 X X X