Course coordinators
Maria Magdalena Isac, mariamagdalena.isac@kuleuven.be
Andres Sandoval-Hernandez, a.sandoval@bath.ac.uk
Course description:
International large-scale assessments (ILSAs) such as the Trends in International Mathematics and Science Study (TIMSS), the Progress in International Reading Literacy Study (PIRLS), the International Civic and Citizenship Education Study (ICCS), and the Programme for International Student Assessment (PISA) are an increasingly important part of the educational research and policy landscape internationally. The emergence of these studies is often connected with a relatively recent marked emphasis on educational accountability and educational system monitoring. Indeed, being representative studies of student populations at the educational systems level, ILSAs produce information that allows for comparing the academic performance of several participating countries around the world and generate policy interest. However, in addition to indicators of student achievement in a number of domains (e.g., reading, mathematics, science), these studies also collect a wealth of background and process information from students, their teachers and their schools. In recent years, these data are increasingly used by researchers to provide an account of the factors and the contexts within educational systems (e.g., student background, teaching practices, school management) that may affect students’ learning outcomes, which is an established area of interest for educational effectiveness research (EER).
Course objectives:
Goal:
The goal of this course is to provide an introduction to international large-scale assessments (ILSAs) in education through the lens of comparative educational effectiveness research (EER). The participants will gain theoretical and methodological knowledge of EER and ILSAs and will build on this information to provide feedback to peers and formulate own research projects.
Specific objectives:
The participants will:
Requirements/entry level:
This course is recommended for all PhD-students.
Course Programme
Meetings: The course consists of four days in total with a month in between.
During the first two days, presentations by course coordinators and invited senior speakers are alternated with discussions and group work. Invited senior speakers will be selected in such a way that they illustrate different applications of ILSAs to EER topics of interest (e.g., comparative measurement of student outcomes in different domains of learning, EER models applied to ILSA data, teacher and school effectiveness factors in ILSAs, etc.) and will be asked to actively reflect with the participants on the strengths and limitations of their work.
Day 1 – morning
Day 1 – afternoon
Day 2 – afternoon
Day 3 – afternoon
Day 4 – morning
Day 4 – afternoon
Specification of the workload:
(84 hours in total)
28 for the meetings; 56 assignments
Potential Dates:
January 27 & 28 2023
February 27 & 28 2023
Utrecht
registration deadline: 17 December 2022
Location:
Utrecht city centre (t.b.d.)
Maximum number of participants: 24
Potential to move into an online or hybrid mode (if necessary).
Assessment:
– Being present through all face-to-face meetings.
– Complete the reading materials.
– Submitting the assignments.
Feedback
– Feedback from course coordinators, peers and guests on the assignments.
– Support from teachers to improve the assignments.
Literature
Literature that will be addressed (selected book chapters and empirical articles; mandatory literature will be announced several weeks before the course).
Important (most likely) sources:
Chapman, C., Muijs, D., Reynolds, D., Sammons, P., & Teddlie, C. (Eds.). (2016). The Routledge international handbook of educational effectiveness and improvement. Routledge.
Nilsen, T., Stancel-Piątak, A., Gustafsson, J-E. (Eds.). (2022). International Handbook of Comparative Large-Scale Studies in Education. Perspectives, Methods and Findings. Springer.
Rutkowski, L., von Davier, M., & Rutkowski, D. (Eds.). (2013). Handbook of international large-scale assessment: Background, technical issues, and methods of data analysis. CRC Press.
Required reading (during the course):
We will provide reading materials at the beginning of the course.