Course content
This workshop will introduce participants to the collection and use of multimodal process data in educational assessment to improve assessment design and validation, user experience, quality control, and to deepen the analysis of performance data. We will look at how small data is used to deepen the analysis of big data in large-scale assessments, how it informs next generation assessment designs, and digital learning analytics.
The workshop will introduce the participants to the key sources of multimodal process data, including log data, the use of video, eye tracking, cognitive interviews, and retrospective think aloud. We will investigate their strengths and weaknesses, and how they inform large-scale educational assessment.
The workshop will involve 4 days of teaching and tutorials delivered in each of the two weeks. It will involve participatory activities, reading of research literature, and critical discussion and critical reflection on theory and methods.
By the end of the workshop, the participants will have gained sufficient knowledge and skills to enable you to collect and use process data with confidence, and to understand its significance in contemporary educational measurement.
Admission
There is a limited number of seats due to joint teaching with the master’s level version of the course.
PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course.
The course will run over week 2 and 3 2023 (January 9-20).
The deadline for registration is January 2 2023.
Candidates admitted to a PhD-program at the Faculty of Educational Sciences (UV) can apply in StudentWeb.
Other applicants can apply by filling out this electronic form.
Teaching
Organizer: CEMO (Centre for Educational Measurement at University of Oslo)
Coordinator/Responsible: Bryan Maddox, Adjunct Professor at CEMO and Prodessor of Educational Assessment at the University of East Anglia
Teaching: Joint teaching with the master level version of the course, MAE4051
Schedule: Monday January 9 - Friday January 20, 2023. Detailed schedule will be published in November
Literature: See course page for MAE4051
Examination
To obtain 3 credits, 80 % attendance, successful completion of the mandatory assignments and paper is required.
A more specific description of the mandatory assignments and paper will be given in the course.
Language of examination
The examination text is given in English, and you submit your response in English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
Questions?
Contact: studentinfo@cemo.uio.no