prof.dr. K. Schildkamp (Kim)

I am a professor in the Faculty of Behavioural, Management, and Social Sciences of the University of Twente in the Netherlands. My chair is called "Data-informed decision making for learning and development". My research focuses on (professional development in) data-informed decision making and Artifical Intelligence (AI).

I am also a visiting professor at SePU at Inland Norway University of applied Sciences. On of the topics we study here is student involvement in the use of data. Furthermore, I work one day a week for the national program Npuls, where I lead a project on data and AI literacy for students and teachers.

I am a Fulbright scholarship recipient, which I used to study data use in Louisiana. I am the past president of ICSEI (International Congress on School Effectiveness and Improvement). I am the past chair of the zone “Facilitating professional development and support for lecturers” of the Dutch National Acceleration Plan for Educational Innovation with IC.

I developed the data team® procedure, which has been used in different countries (e.g., The Netherlands, Sweden, Belgium, USA), and has received the European Association for Practitioner Research on Improving Learning (EAPRIL) best research-practice award. I have published widely on the use of (assessment) data. I have received grants from NWO/NRO, the EU (Erasmus plus, Comenius), The Spencer Foundation, The Ministry of Education, STW (Sience and Technology fund, the Netherlands), and several school boards. I also have several international collaborations (e.g., with the University of Auckland, Antwerp University, and The University of California San Diego). 

Expertise

• Psychology

  • Teachers
  • Data-Based Decision Making
  • Research
  • Assessment

• Social Sciences

  • Schools
  • Decision Making

• Computer Science

  • Teams
  • Decision-Making

Organisations

Ancillary activities

• XDTPDirector of XDTP, a spin-off company of the UT
• British School of BrusselsMember of the board of Trustees

My research focusses on the use of different types of data and the use of Artificial Intelligence (AI) in education. I have studied the use of formative assessment (data-based decision making, assessment for learning, and diagnostic testing), the use of research in schools, and big data in education. How can we support schools in the use of data to improve education is one of my central questions. In this work I focus on different stakeholders, such as teachers, but also students (e.g., data and AI literacy). I am the initiator and project leader of the data team® procedure project. After a small scale pilot, the data team® procedure ihas been used by many schools in the Netherlands, England, Belgium, Sweden, and the USA. I have been involved in several studies regarding the use of data in different countries. One of these projects, for example, was an EU funded project into the use of data in the Netherlands, England, Germany, Lithuania and Poland. 

Publications

Research profiles

I obtained my official university teacher qualification (“Certificaat Basiskwalificatie Onderwijs”). I have taught several courses and workshops at bachelor, master, and PhD level. Some examples:

• Seminars for the Senior University Teaching Qualification (SUTQ) program
• Traineeship teacher training colleges: module assessment
• Supervisor for bachelor and master graduation projects
• Assessment, monitoring, and improving student and school performance (master EST)
• Module data-based decision making Trending Topics (master EST)
• Honours programma: module individual project and instructional design
• Teacher Educational Science 1 and 2 for ELAN
• TOM module ‘learning in the classroom’.
• Guest lectures, such as for teacher training college (MEBIT), Penta Nova, Saxion, University of Antwerp
• Examiner for the University of Auckland

Affiliated study programs

Courses academic year 2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2022/2023

Examples of projects:

• Stichting Carmelcollege (a large Dutch school board): Assessment in professional learning networks (2021-2025)
• NWO/NRO (national science foundation): STRIPES2021: STRucturing Interdisciplinary Projects for Engineering Students (2019-2022)
• NWO/NRO (national science foundation): Field lab sustainable school improvement (2019-2020)
• An Erasmus plus grant from European Union: The power of data to take smart decisions for school improvement (2018-2021)
• Ministry of Education: Professional development in the use of formative assessment (2018)
• Spencer Foundation (USA): Data teams for school improvement (2017-2018)
• NWO/NRO (national science foundation): The role of school leadership in realizing sustainable school improvement (2017-2021)
• NWO/NRO (national science foundation): Big data, big questions? (2017)
• Stichting Carmel college (a large Dutch school board): Sustainability of a data use intervention (2016-2022)
• Ministry of Education: Diagnostic testing (2015-2018)
• Veldvest and Vivente (two Dutch school boards): Data teams in primary education (2014-2016)
• NWO/NRO (national science foundation): Conditions for formative assessment (2013-2014)
• Stichting Carmel college (a large Dutch school board): Data teams for school improvement: Effects (2011-2015)
• Ministry of Education: Data teams for school improvement: Sustainability (2012-2016)
• A Comenius grant from the European Union. Partners: University of Twente, PCG Polska (Poland), Specialist Schools and Academic Trusts (UK), Modern Didactics Center (Lithuania), Institute for Information Management (Germany): Using data for improving school and student performance (2012-2012)

Address

University of Twente

Ravelijn (building no. 10), room 5446
Hallenweg 17
7522 NH Enschede
Netherlands

Navigate to location

Organisations