Kies de Nederlandse taal
Course module: 201500149
Educational measurement
Course info
Course module201500149
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact personM.C. Heitink
Contactperson for the course
M.C. Heitink
M.C. Heitink
Lecturer B.P. Veldkamp
Academic year2020
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes

After taking this course students are able to understand the major principals and innovations in educational measurement. Students:
  • Will understand the use of data forensics in educational measurement (topic 1).      
  • Will be able to design and implement a computerized adaptive test, and can interpret the scores (topic 2)
  • Gain insight into the principles of systematic design of assessment of and for learning, which in turn aid valid decisions about the learner (topic 3).
  • Are able to review an existing test design by applying the principles taken from the ECD sub models as evaluative criteria (topic 3).
  • Will gain insight in large-scale assessments methodology and analysis (topic 4).      
  • Are familiar with the most important methods of standard setting, both classical methods for multiple-choice tests (e.g., Angoff and Nedelsky methods) and methods for complex performance-based assessments, such as, the extended Angoff method as well as its variations (topic 5).
  • Will know how to evaluate the quality of assessments (topic 6).
Relationship with EST labour market (Intended Learning Outcomes [ILO’s] as described in the EST programme specific appendix of the EER):
  • This course contributes (strongly) to: Domain expertise
  • To a limited extent, this course contributes to: Research competence, Academic reflection
  • This courses assesses the following ILO’s in some way (can include formal/informal, formative/summative, peer/expert): Domain expertise, Research competence.
The course gives an overview of the state-of-the-art in educational measurement methodology. Students will get to know the professional field of educational measurement including the contemporary major interest and innovations. The course will be taught by leading experts in the area of Educational Measurement. Specialists from companies like the educational measurement institute Cito, RCEC, Explain and from universities will each address one of six guest lectures. For each of these topics, students are expected to read a number of scientific papers, will make an assignment about each topic for which the answer is posted on a personal blog. Peers will react on the blog posts. 

Students have to do  assignments which has to be completed at a sufficient level (minimum grade 5,5).
The final score for this course is equal to the means score of the assignments that are given during the course.
Relationship with technology:
- Students work with technology based assessment design platforms
- Students work with specific programs to analyse assessment tasks

Assumed previous knowledge
Enrolment in this course is subject to the following requirements:
The student has successfully completed the UT’s pre-M programme Educational Science and Technology (pre-M EST) (or equivalent/related BSc programme, to be decided by the M-EST admission committee)
Participating study
Master Educational Science and Technology
Required materials
Course material
Selected course readings (via Canvas)
Recommended materials
Course material
Babbie, E. (2016). The practice of social research. Boston, MA: Cengage Learning. (also used in the course 'Research Methodology and Descriptive Statistics). Or Cohen, L., Manion, L. & Morrison, K. (2011). Research methods in education. London, NY: Routledge. (7th or 8th edition) (7th edition also available as e-book in the UT library
Educational Measurement (4th edition) , R. L. Brennan ISBN-13: 978-0275981259
Instructional modes
Presence dutyYes

Self study without assistance

Presence dutyYes

Final assignment

Kies de Nederlandse taal