Summer School on Informatics Education Research
Informatics and Other Disciplines
Best Practices in Education Award
2022 - Educating the Workforce for the Digital Transformation
2020 - Lifelong Education and Talent Gap in Informatics
2018 - Transforming Informatics Education
2017 - Informatics Education Available to All
2016 - Informatics Education in Primary and Secondary Schools
2015 - Informatics Education in Primary and Secondary Schools
2014 - Informatics Education in Primary and Secondary Schools
2013 - Informatics Education in Primary and Secondary Schools
Minerva Informatics Equality Award
Best Practices in Supporting Women
2025 - Female Careers at All Stages
2024 - Female Careers at All Stages
2023 - Female Careers at All Stages
2022 - Careers of Female Faculty
2021 - Recruiting and Supporting Female Students
2020 - Careers of Female PhD and Postdoc Researchers
2019 - Careers of Female Faculty
2018 - Recruiting and Supporting Female Students
Additional coalition members:
Software underpins Europe's digital future. From AI to cybersecurity, from sustainability to healthcare, advances in software research drive innovation across all sectors. To fully harness this potential, stronger collaboration among European software research associations and institutes is essential.
Through the Software Research Working Group (WG), Informatics Europe (IE) supports efforts to build these connections. We contribute our network, expertise, and policy engagement to strengthen the visibility and impact of software research in European and national funding agendas.
👉 Our Mission: to elevate software research as a strategic priority in Europe by guiding policy dialogues and enabling cross-national collaboration.
Long-term vision:
Immediate Priorities:
The IE Software Research WG is part of a broader coalition founded by Informatics Europe and 12 national Informatics and software research associations across nine European countries, including: GRIN (IT), INRIA (FR), CHOOSE (CH), FB-SWT (DE), GDR-GPL (FR), GII (IT), LERO (IE), MDENet (UK), SAST (SE), SISTEDES (ES), Software Center (SE), VERSEN (NL).
Chair: Tanja Vos, Universitat Politécnica de Valencia, Spain
Members: See the full list below.
📌Recent Activities:
Join us to support ongoing projects on Software Research.
Whether your focus is education, research, or policy, your contribution can help shape a stronger, more collaborative future for software innovation in Europe.
👉 Join the Working Group
Additional coalition members:
Past Editions of the Professional Development Workshop for Early Career Researchers
October 2025 – Held on 27 Oct in Rennes, France, as part of ECSS 2025.
Workshop slides and posters available here.
October 2024 – Held on 28 Oct in Sliema, Malta, as part of ECSS 2024.
Workshop slides and posters available here.
October 2023 – Held on 23 Oct in Edinburgh, UK, during ECSS 2023.
Featured a talk on "A Fresh Approach to Research Leadership" and a panel discussion on "How to Turn a Research Career into a Success".
Workshop slides and posters available here.
October 2022 – Took place on 24 Oct in Hamburg, Germany, at ECSS 2022.
Included talks from academic and industry leaders, a breakout session, and an employer panel on the future of Informatics careers.
Workshop slides available here.
October 2021 – Debut edition, held on 25 Oct in Madrid, Spain, as part of ECSS 2021.
Workshop slides and video recordings available here.
SCHIER Definition
Admission Requirements
Admissions Requirements to SCHIER 2025 are described under “Registration” at the following link: https://www.informatics-europe.org/education/informatics-education-research-school/2025.html#registration
Registration Fees and Payment
Disclaimer for Personal Information
Certificate
ECTS Credits
Cancellation by Informatics Europe and UCLouvain
Cancellation by the Participant
Insurance and other costs
Waiver of Responsibility
Entry into force
Terms and Conditions reviewed and updated on 16 May 2025.
SCHIER Definition
Admission Requirements
Admissions Requirements to SCHIER 2024 are described under “Registration” at the following link: https://www.informatics-europe.org/education/informatics-education-research-school.html#registration
Registration Fees and Payment
Disclaimer for Personal Information
Obligations of the Participant
Certificate
ECTS Credits
Cancellation by Informatics Europe and IBM Research Europe
Cancellation by the Participant
Insurance and other costs
Waiver of Responsibility
Entry into force
Terms and Conditions reviewed and updated on 13 May 2024.

SCHIER is ideal for PhD students who are interested in Informatics Education Research. Post-docs and other researchers who are interested in exploring the issues and challenges involved in this field are also welcome.
The recent Recommendation of the Council of the EU highlights the urgent need for investing in Informatics Education in schools, emphasizing quality teaching methods, resources, and gender-balanced representation. Despite the presence of scattered individuals in the field, there's a lack of cohesive networking for Informatics Education Research across Europe, leading to fragmented communities and limited knowledge sharing.
SCHIER seeks to fill this void uniquely, as it stands as the first and only European school to focus on providing a comprehensive set of lectures on a broad range of topics which need to be mastered to do research in Informatics Education. All lectures are held by well-known international experts in their fields and the residential format will foster collaboration among participants, to establish a robust European Informatics Education Research community.
To read about the SCHIER initiative in full, please click here.
"Excellent opportunity to get a comprehensive view of the scientific aspects of Informatics education and to build a network of researchers."
Sara Capecchi, University of Turin (Italy)
"Very good for PhD students at their beginning of study. Interesting topics and a very good place for networking with experts in their fields. Overall I feel full of new ideas for my research journey."
Jakub Krcho, Comenius University Bratislava (Slovakia)
"Highly prolific time with great talks and enlightenment moments that generated nice ideas for the future."
Natalia Silvis-Cividjian, Vrije Universiteit Amsterdam (the Netherlands)
"It is a good opportunity to find contacts from other countries and hear what is being done in your field."
Hanna Toom, Tallinn University of Technology (Estonia)
"Fruitful, informative, network sharing. Thank you indeed. You welcomed us with a smiling face and guided us well and in a helpful way during the organisation."
Emel TOPÇU, Bahçeşehir University (Turkey)
"It offers a deep dive into the subject with expert instructors, hands-on activities, and the opportunity to network with like-minded professionals, all of which make it an incredibly valuable learning experience."
Drishti Yadav, TU Wien (Austria)
"Very valuable opportunity to learn several aspects about the (Informatics Education Research) field. Excellent choice of topics and speakers. Hope to have new editions!"
Abuzer Yakaryilmaz, University of Latvia (Latvia)

SCHIER 2024 offered expert instruction from distinguished scholars in both academia and industry, specializing in informatics and education research. Click the session titles below for more details about each session and instructor.
Session description:
The learning sciences is an interdisciplinary field that explores the mechanisms and processes involved in human learning, frequently taking place in real-life contexts. This exploration entails a nuanced examination of individual and collaborative learning scenarios, seeking to understand various sociocultural contexts, and carefully considering how the design and utilization of artefacts and tools, including technology, can shape the learning experience.
The session will begin with a presentation of the foundational aspects of the learning sciences. It will offer a retrospective analysis of the field and will explain its defining characteristics. It will also discuss the distinctive characteristics of the learning sciences, drawing connections to seminal literature and influential scholars in the field, while providing illustrative examples of pioneering work.
About the instructor:
Dr. Eleni A. Kyza is a Professor of Information Society in the Department of Communication and Internet Studies at the Cyprus University of Technology, where she leads the Media, Cognition, and Learning Research Group (http://mcl.cut.ac.cy). She has a background in educational technology, cognitive science and the learning sciences, and a continuous interest in how digital technologies can support learning, critical reflection, and the development of active and informed citizens. She holds a PhD from the Learning Sciences program at Northwestern University, with a specialization in Cognitive Science, a master's degree in Technology in Education from the Harvard Graduate School of Education, a B.Sc. in Education, summa cum laude, with a concentration in Educational Media and Technology from Boston University, and a Teacher's Diploma from the Pedagogical Academy of Cyprus. Her research investigates technology-enhanced learning environments to support motivated, meaningful, and reflective practices. Her work has examined, among others, inquiry-based learning, teacher learning and professional development, scaffolding student learning, collaborative learning, and media & information literacy on social media. With her colleagues, she has developed and empirically investigated learning technologies, such as the web-based learning and teaching platform STOCHASMOS for promoting evidence-based reasoning in science education, TraceReaders, an augmented reality platform for scaffolding students’ inquiry learning in informal and non-formal contexts, and CompARe, a mixed reality (VR and AR) environment. She is the Editor-in-Chief of Instructional Science. She is the past President of the European Association for Research on Learning and Instruction (EARLI) (2021-2023), a past president of the International Society of the Learning Sciences (ISLS), and an Inaugural Fellow of the ISLS.
Learn more about Dr. Eleni A. Kyza.
Session description:
The lecture will introduce the foundational concepts relative to the processes of human cognition, that is how people acquire knowledge and understanding such as brain, perception, attention, memory, learning, cognitive development, problem-solving, transfer effect and cognitive load while discussing also the various levels at which cognitive processes happen and how they are related.
About the instructor:
Martin Fischer is a professor of cognitive sciences with a background in attention research and motor control. He is an expert in numerical cognition. He is the leader of the Potsdam Embodied Cognition Group. After studying psychology at RWTH Aachen/Germany, Fischer worked in Massachusetts/USA from 1991-1996. He studied eye and body movements and their effects on spatial attention to obtain my PhD. After 3 years as a post-doc at the Ludwig-Maximilians-University in Munich/Germany, Fischer moved to the University of Dundee/Scotland. There he worked for 12 years on various interdisciplinary topics, such as poetry reception, humanoid robots and numerical cognition, before becoming a full professor of cognitive science at the University of Potsdam in 2011. Martin's current research focus is on embodied cognition.
Learn more about Martin Fischer.
Session description:
The lecture will address the main issues relative to providing quantitative measures on data collected during research. They cover both descriptive statistics (e.g. dependent and independent variables, descriptive graphics, numerical descriptions), which provides ways to quantify the actual data recorded, and inferential statistics (e.g. hypothesis testing, inferential tests), which allows to possibly extend our findings beyond the actual samples.
About the instructor:
Mattia Monga is an Associate Professor at Università degli Studi di Milano, Milan, Italy with the Department of Computer Science. He holds a PhD in Computer and Automation Engineering from Politecnico di Milano, Italy. He is one of the founders of the ALaDDIn group (http://aladdin.unimi.it) and the Deputy Director of the CINI National Laboratory on Computer Science and School.
Learn more about Mattia Monga.
Session description:
The lecture will address the various methods used for qualitative research, that is the kind of investigations where insights on activities, accounts and artefacts relative to the phenomena under study do not come from the mathematical methods which are the basis of quantitative research. Among the most relevant of these methods are interviews, focus groups, observational studies, content analysis, and data collection.
Learn more about the instructor Inge Hutter.
Session description:
This session will provide an introduction to tech ethics and their implications, addressing also governance and risk models. Governance of AI Foundation Models will also be discussed.
About the instructor:
Elizabeth M. Daly is a Research Scientist leading the Interactive AI Group at the IBM Research Laboratory, Dublin. She is also an Adjunct Assistant Professor in the School of Computer Science and Statistics at Trinity College Dublin.
She received her Ph.D. in Computer Science from Trinity College Dublin in November 2007 with her thesis entitled 'Social Network Analysis for Routing in Disconnected Delay-Tolerant MANETs'. Before joining IBM Research - Dublin she was a post-doctoral researcher in the IBM Research Centre for Social Software in Cambridge, MA. There her work focused on the intersection of social networks and information systems. More recently her team is researching innovative solutions for interactive AI by introducing mechanisms to facilitate AI and humans negotiate a common objective. She is on the program committee of high impact conference such as RecSys, IUI, WWW, UMAP and ICWSM. She is currently serving on the Royal Irish Academy’s committee on Engineering and Computer Science.
Learn more about Elisabeth Daly.
Session description:
This session will address the identification of research questions, and their evaluation, formulation, articulation, and execution, using the approach of “Design Thinking for Research & Science”.
About the instructor: Ambrish Rawat is a Research Scientist in the AI Security & Privacy team at IBM. His research interests are at the cross-sections of security, privacy and Artificial Intelligence (AI). Most recently, he has worked on Privacy Enhancing Technologies (PETs) like Federated Learning and Differential Privacy. He is passionate about building trustworthy AI systems with security and privacy guarantees within the regulatory demands of GDPR as well as EU AI and Digital Acts.
He holds a Master of Philosophy in Machine Learning and Machine Intelligence from the University of Cambridge, UK, and a Master of Technology in Mathematics and Computing from the Indian Institute of Technology, Delhi (IIT Delhi). He joined IBM in 2016 and has since been leading and contributing to numerous efforts in AI and ML at the Dublin Research Lab.
His work has been published at top AI conferences and he's an active contributor to open source software projects. He have been recognised as Master Inventor at IBM for his contributions to IBM patent portfolio and has also received Research Division Award and several Outstanding Technical Accomplishment Awards for the contributions to the vast array of cutting-edge research at IBM.
Learn more about Ambrish Rawat.
Session description:
This session will present one to two case studies published in the literature for this level of school (6 to 10 years old), analyze and discuss them, paying attention to biases and how to avoid them.
Learn more about the instructor Jane Waite.
Session description:
This session will present one to two case studies published in the literature for this level of school (11 to 18 years old), analyze and discuss, paying attention to bias and how to avoid them.
About the instructor:
Jan Vahrenhold is Professor for Efficient Algorithms and Algorithm Engineering at the Westfälische Wilhelms-Universität Münster since 2012. His research focuses on algorithms and data structures for geometric problems, algorithm engineering with a focus on resource efficiency and computer science education.
Jan Vahrenhold is co-editor-in-chief of "Computer Science Education" and associate editor of "ACM Inroads" and "Journal of Computational Geometry". He has (co-)chaired several conferences in the field of computer science and computer science education, most recently the ACM International Computing Education Research Conference (ICER 2021/2022). He is member of the national consortium for the current "International Computer and Information Literacy Study" (ICILS 2023), member of the board of Informatics Europe, and speaker of the "Computer Science and Education" section of the German Informatics Society.
Learn more about Jan Vahrenhold.
Session Description:
The lecture will present and discuss the role of tools and technology in Informatics Education and Informatics Education Research, by analyzing advantages and disadvantages. They will also cover research issues related to Human-Computer Interaction and AI-assisted education.
Learn more about Karthik Mukkavilli.
Session Description:
The lecture will provide an introduction to the main pedagogical approaches, such as active learning, collaborative learning, cooperative learning and blended learning, which allow to describe and analyze the complex set of relationships developing between the teacher and students in the various learning contexts and for the different learning activities.
About the instructor:
Lauri Malmi has been a professor of computer science at Helsinki University of Technology and Aalto University since 2001. His main research field is computing education research. He is leading the Learning+Technology research group (LeTech) which mainly focuses on improving programming education in terms of building advanced learning tools to support students and teachers, as well as analyzing their impact on students’ learning results, motivation, studying practices and teachers’ work. The group is very actively researching novel AI-driven tools in this area. His interests also include research on educational technology to support engineering education. He received the ACM SIGCSE award for Outstanding Contribution to Computer Science Education in 2020 and was nominated as ACM distinguished member in 2023.
Learn more about Lauri Malmi.
Session Description:
SCHIER participants will be asked to present one possible research topic, on which they plan to work or have already started to work, for a joint discussion. Depending on the number of students and proposals, the work can be done in groups.
Learn more about the Scientific Committee.
SCHIER 2024 took place between 2 September and 6 September, supported by IBM Research Europe and hosted at their IBM Innovation Studio & Think Lab Zurich, in Rüschlikon.
SCHIER 2024 was structured as a residential in-person program, featuring one major theme for each morning or afternoon, outlined in the following table. The organization prioritized inclusivity to accommodate diverse backgrounds of students, spanning from those with backgrounds in Informatics/Science to those with a focus on education.
The first two days covered foundational theoretical and methodological aspects of research on teaching and learning, while the subsequent sessions delved into the more practical aspects of designing and implementing research in these areas. All sessions featured a first part with a more traditional, lecture-style, material and a second part focused more on practical and hands-on work.
The program was enhanced with a behind-the-scenes look at IBM's oldest and largest European research lab, featuring special visits to their Quantum Computing Lab and Nanotechnology Center.
| Mon, 2 Sep | Tue, 3 Sep | Wed, 4 Sep | Thu, 5 Sep | Fri, 6 Sep | |||||
|
Morning |
Learning Science | Quantitative Methods | Part 1: Responsible Tech Part 2: Study Design |
Secondary School (11-18) |
Pedagogical Approaches | ||||
| 13:00 - 14:00 Lunch Break | |||||||||
|
Afternoon Mon from 14:00-18:15, with a coffee break at 15:45-16:30 Tue-Fri from 14:00-18:00, with a coffee break at 15:45-16:15 |
Cognitive Science | Qualitative Methods | Primary School (6-10) Case Studies |
Technology and Tools | Students’ Cases | ||||
|
|
1800-1830 Visit IBM's Quantum Computing Lab / Nanotechnology Center |
Social Evening | 1800-1830 Visit IBM's Quantum Computing Lab / Nanotechnology Center |
||||||
Monday afternoon's coffee break featured a behind-the-scenes look at IBM's Think lab. On Tuesday, participants splited into two groups: one visited the Quantum Computing Lab, and the other the Nanotechnology Center from 18:00-18:30. The groups swapped location of visit on Thursday evening.
All sessions took place at IBM Innovation Studio & Think Lab Zurich (Säumerstrasse 4, 8803 Rüschlikon, Switzerland). SCHIER targets PhD students, Post-docs and any researcher interested in Informatics Education Research. Participants from IE member institutes enjoy reduced registration fees.
SCHIER is addressed mainly to PhD students from all over the world wishing to work in the area of Informatics Education Research, but also to post-doctorates and other researchers interested to learn more about topics and challenges in this field. Participants specializing in other fields relevant to Informatics and/or Education are welcome. In exceptional cases, undergraduates are also welcome to participate.
Depending on your nationality, you need a visa to travel to Switzerland. You may find information about the visa requirement on the website of the State Secretariat for Migration. All visa procedures remain in the participant's responsibility and must be arranged before arriving in Switzerland.
Participants of SCHIER must organize accommodation themselves – it is not being provided by SCHIER and is not included in the registration fee. However, Zurich provides a large number of accommodation options, and IBM Innovation Studio and Think Lab, where SCHIER will take place, is easily accessible by car or public transport from central Zurich, taking only 15 minutes. Here are some possible options:
and further options can be found here: https://www.zurich.ibm.com/visitors/hotels_zh.html.
SCHIER is an intensive 5-day program that provides a concentrated learning experience with focused instruction from renowned international experts in Informatics Education Research, offering immediate insights and practical skills. There is no other international school like this in Europe. SCHIER offers international networking opportunities, connecting participants with experts and peers across Europe and beyond to exchange ideas and broaden their professional horizons.
SCHIER will be held in English. Applicants are not required to hold formal qualifications in English to take part in SCHIER.
Participants attending SCHIER will be asked to present one possible research topic, on which they plan to work or have already started to work, for a joint discussion. Depending on the number of students and proposals, the work can be done in groups.
SCHIER is an Informatics Europe training school, sponsored and co-organized by IBM Research Europe.
Yes, an attendance of at least 4 of all 5 days is required for a certificate to be issued. The certificate will be issued by Informatics Europe.
Contact Us
For any further enquiries, please do not hesitate to contact the

SCHIER is an ideal venue for PhD students interested in Informatics Education Research. Post-docs and other researchers interested in exploring the issues and challenges involved in this field are equally welcome.
A Recommendation of the Council of the EU highlights the urgent need for investing in Informatics Education in schools, emphasizing quality teaching methods, resources, and gender-balanced representation. Despite the presence of scattered individuals in the field, there's a lack of cohesive networking for Informatics Education Research across Europe, leading to fragmented communities and limited knowledge sharing.
The SCHIER summer school series seeks to fill this void as the first and only European PhD school to focus on providing a comprehensive set of lectures on a broad range of topics which need to be mastered to do research in Informatics Education. The lectures are held by well-known international experts in their fields, and the residential format fosters collaboration among participants to establish a robust European Informatics Education Research community.
To read more about the SCHIER initiative in full, please click here.
Learn More about Previous Cohorts

"Excellent opportunity to get a comprehensive view of the scientific aspects of Informatics education and to build a network of researchers."
Sara Capecchi, University of Turin (Italy)
"Very good for PhD students at the beginning of their study. Interesting topics and a very good place for networking with experts in their fields. Overall I feel full of new ideas for my research journey."
Jakub Krcho, Comenius University Bratislava (Slovakia)
"Highly prolific time with great talks and enlightenment moments that generated nice ideas for the future."
Natalia Silvis-Cividjian, Vrije Universiteit Amsterdam (the Netherlands)
"It is a good opportunity to find contacts from other countries and hear what is being done in your field."
Hanna Toom, Tallinn University of Technology (Estonia)
"Fruitful, informative, network sharing. Thank you indeed. You welcomed us with a smiling face and guided us well and in a helpful way during the organisation."
Emel TOPÇU, Bahçeşehir University (Turkey)
"It offers a deep dive into the subject with expert instructors, hands-on activities, and the opportunity to network with like-minded professionals, all of which make it an incredibly valuable learning experience."
Drishti Yadav, TU Wien (Austria)
"Very valuable opportunity to learn several aspects about the (Informatics Education Research) field. Excellent choice of topics and speakers. Hope to have new editions!"
Abuzer Yakaryilmaz, University of Latvia (Latvia)
More about previous SCHIER cohorts here.
Eligibility & Registration
SCHIER is addressed mainly to PhD students from all over the world wishing to work in the area of Informatics Education Research, but also to post-doctorates and other researchers interested to learn more about topics and challenges in this field. Participants specializing in other fields relevant to Informatics and/or Education are welcome. In exceptional cases, undergraduates are also welcome to participate.
Depending on your nationality, you may need a visa to enter the country where SCHIER takes place. All visa and travel arrangements are the responsibility of the participant and must be completed before arrival.
SCHIER participants are responsible for arranging their own accommodation themselves, which is not included in the basic registration fee. A list of recommended options is generally shared on the upcoming cohort webpage or communicated to admitted participants.
Program & Structure
SCHIER is an intensive 5-day program that provides a concentrated learning experience with focused instruction from renowned international experts in Informatics Education Research, offering immediate insights and practical skills. There is no other international school like this in Europe. SCHIER offers international networking opportunities, connecting participants with experts and peers across Europe and beyond to exchange ideas and broaden their professional horizons in this area.
SCHIER will be held in English. Applicants are not required to hold formal qualifications in English to take part in SCHIER.
Participants attending SCHIER will be asked to present one possible research topic, on which they plan to work or have already started to work, for encouraging joint discussions and group work. They may also be asked to present a poster and presentation(s) during the event.
Yes, but an attendance of at least 4 of all 5 days is required for a certificate to be issued. The certificate will be issued by Informatics Europe.
For any further enquiries, please do not hesitate to contact the
SCHIER is co-organised by the IE Education Research Working Group and the local host institution, with sponsorship from IBM Research Europe.
The second edition of SCHIER took place from 8 September to 12 September 2025, hosted by UCLouvain in Louvain-la-Neuve, Belgium, and sponsored by IBM Research Europe, FNRS and UCLouvain, .

The School was organised as a residential in-person event, with the overall high-level structure as described in the following table, featuring 4 major themes each taking two half days. Two themes, of a more general nature, covered qualitative and quantitative methods in Informatics Education research, while the other two focused more on the practicality of designing and implementing research in these areas. Each theme was split into two sessions. The first session was typically structured in a more traditional, lecture style, with material providing a broad view of the topic, followed by a second part focused more on practical and hands-on work and current examples. The second session instead picked one topic and went in-depth into it.
|
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
|
|
Morning |
Qualitative Methods (I) |
Qualitative Methods (II) |
Pedagogy and Tools (II) |
Quantitative Methods (I) |
Quantitative Methods (II) |
|
13:00-14:00 Lunch Break |
|||||
|
Afternoon |
Student Self-Presentations — Poster Session (16:15-18:00) |
Pedagogy and Tools (I) |
IBM Invited Presentation Structured Poster Discussions |
Study Design & Case Studies (I) |
Study Design & Case Studies (II) |
|
|
City Visit |
Social Dinner |
Social Event |
|
|
All morning sessions as well as the afternoon sessions on Tuesday, Thursday and Friday took place at UCLouvain’s OpenHub center. The Monday and Wednesday afternoon sessions were organised in the main hall of the Sainte-Barbe university auditoria within walking distance. Lunches took place in the university restaurant nearby and were included in the registration fee, as well as the social programme.
SCHIER 2025 offered expert instruction from distinguished scholars in both academia and industry, specializing in Informatics and education research. Click the session titles below for more details.
Session description:
This two-session lecture addresses various methods used for qualitative research, that is the kind of investigations where insights on activities, accounts and artefacts relative to the phenomena under study do not come from the mathematical methods which are the basis of quantitative research. Among the most relevant of these methods are interviews, focus groups, observational studies, content analysis, and data collection.
About the instructor:
Inge Hutter is professor of Participatory and Qualitative Research in Population and Development at the International Institute of Social Studies (ISS), The Hague, of Erasmus University Rotterdam (EUR). She is a cultural anthropologist and demographer by training and conducted qualitative research (anthropology) within a quantitative discipline (demography).
Her qualitative research projects formed the basis for her co-authored Sage book, Qualitative Research Methods, by Hennink, Hutter and Bailey (2011) of which a second edition appeared in 2020 with two additional chapters on the participatory (action) approach to qualitative research, co-authored with Christine Fenenga.
Inge is trained in several leadership styles through courses and workshops in: academic leadership; connecting leadership; professional communication from systemic work perspective; value-driven leadership and transformative leadership. She was also an instructor at SCHIER 2024.
Learn more about the instructor Inge Hutter.
Session description:
This two-session lecture provides an introduction to the main learning theories (e.g., behaviorism, cognitivism, constructivism) and pedagogical approaches such as active learning, collaborative learning, cooperative learning and blended learning. They help describe and analyse the complex set of relationships developing between teachers and students across various learning contexts and for different learning activities. Examples of pedagogies specifically developed for teaching Informatics (e.g., pair programming, use-modify-create) and technical tools used within these (e.g., visualisation, gamification) are discussed in greater depth.
About the instructor:
Andreas Mühling is heading the computer science education research group at the Leibniz Institute for Mathematics and Science Education (IPN) and at Kiel University. He focuses on empirical research in K12 computer science with a focus on programming and AI literacy both from learners and teachers persepctives.
He has co-chaired several CSE related conferences, most recently Koli Calling 2023 and 2024, has organized docotoral consortia and serves as a steering board member for the WiPSCE conference. He also currently serves as Associate Editor for Computer Science Education, as part of the steering board of the German Informatics Society's CSE group and as co-speaker of its regional chapter.
Learn more about the instructor Andreas Mühling.
Session description:
This two-session course equips participants with essential statistical and data analysis skills for conducting research in Informatics Education. The first session covers key concepts in descriptive statistics, along with the reasoning behind statistical inference, including tests and confidence intervals, for validating findings at the population level. Participants also learn how to perform regression analysis and ANOVA. In the second session, we introduce the basics of psychometric scale use and the analysis of latent variable models, providing a foundation for working with survey data in educational research.
About the instructor:
Laura Trinchera is a Professor of Statistics and Data Science at NEOMA Business School in France. She holds a Master’s degree in Business and Economics (2004) and a PhD in Statistics (2008) from the University of Naples Federico II, Italy. Laura has been a visiting researcher at several esteemed institutions, including the University of California, Santa Barbara, the University of Michigan, Ann Arbor, the University of Hamburg, Charles University in Prague, HEC School of Management in Paris, and has served as an external lecturer at ESSEC Business School, Sciences Po Paris, and Sorbonne University in Abu-Dhabi. Her research has been published in internationally recognized journals, such as Structural Equation Modeling: A Multidisciplinary Journal, Journal of Production Economics, Journal of Organizational Behavior, Recherche et Applications en Marketing, International Journal of Information Management and Management Decision. She is the coordinator of the Data Science for Insights & Value Creation research group at NEOMA Business School.
Learn more about the instructor Laura Trinchera.
Session description:
This two-session lecture addresses the identification, formulation, and articulation of research questions, discussing various ways they can be implemented, executed, and evaluated. They also cover how research papers should be written and reviewed. Additionally, a detailed analysis and discussion of one or two case studies published in the literature are provided. Special attention is paid to bias and unfounded assumptions, as well as strategies to avoid them.
About the instructor:
Jan Vahrenhold has been Professor for Efficient Algorithms and Algorithm Engineering at the University of Münster since 2012. His research focuses on algorithms and data structures for geometric problems, algorithm engineering with a focus on resource efficiency and computer science education.
Jan Vahrenhold is co-editor-in-chief of "Computer Science Education" and associate editor of "ACM Inroads". He has (co-)chaired several conferences in the field of computer science and computer science education, most recently the ACM International Computing Education Research Conference (ICER 2021/2022). He is a member of the national consortium for the "International Computer and Information Literacy Study" (ICILS 2028). He is also a current member of the Informatics Europe Board, and speaker of the "Computer Science and Education" section of the German Informatics Society. He was an instructor at SCHIER 2024.
Learn more about Jan Vahrenhold.
Session description: Students attending the school are invited to very briefly (3 min. each) self present themselves: professional background and research topic(s) they are interested in.
Session description:
Once accepted, participants are invited to submit a poster describing their work, which may focus on their PhD thesis or any topic of their current interest. These posters are evaluated by the Scientific Committee, and those accepted are presented for structured discussions among participants, guided by the Scientific Committee, on both Monday and Wednesday afternoons. Posters should indicatively contain the following elements:
Session description:
The Wednesday afternoon session hosts an invited presentation on Education in Quantum Computing at IBM Quantum by Fabio Scafirimuto, IBM Quantum Education and Workforce Development EMEA Team Lead.
About the instructor:
Dr. Fabio Scafirimuto earned his Ph.D. from ETH Zurich while conducting research at the IBM Research Lab in Zurich, specializing in experimental quantum condensed matter physics with a focus on polaritonics. He later joined IBM Quantum’s Community Team, where he contributed to the development of educational content using Qiskit. Since 2021, he has led a team within IBM Quantum dedicated to workforce development, education, and advocacy across the EMEA region.
SCHIER 2025 targeted PhD students, Post-docs and any researcher interested in Informatics Education Research. Participants from IE member institutes benefit from reduced registration fees. The Summer School took place in person only, with limited spots available.
Basic Registration Fee
Read SCHIER general information, FAQs, and testimonials here.
The deadline has passed. Unfortunately, we cannot consider late applications anymore. Please stay tuned for future cohorts.
Not included: travel and accommodation costs (although a limited number of rooms can be booked at a preferential rate via the registration form for admitted participants).
Application Process
To apply for SCHIER 2025, participants are required to provide the following:
Applications will be reviewed by the SCHIER Scientific Committee (considering your relevant achievements and motivation) on a first-come-first-serve basis. Allocation of places (if positively reviewed) will take place in this order.
Confirmation of Admission
Around two weeks after your application submission, you will receive notification of your SCHIER 2025 final admission status, sent from our official email address:
Request for Visa Support Letters
Please note that, as a SCHIER participant, it will be your responsibility to ensure that you have the valid travel documents required to enter Belgium for the duration of SCHIER 2025 (and possible additional travel days before and after the program). For any questions concerning access to Belgian territory, please consult the FPS Interior website: https://dofi.ibz.be/en
Admitted SCHIER participants may request a support letter for visa application purposes during registration, if needed. Please allow up to 10 working days for processing. The SCHIER Organising Committee will not directly contact embassies and consulates on behalf of visa applicants.
Please note that accommodation is not included in the SCHIER basic registration fee. A registration link will be sent to admitted participants, which includes the option to book nearby hotels at an additional cost but with preferential rates. Participants are also welcome to make their own arrangements; however, availability may be very limited. Here are the hotel options available to admitted participants:
Option 1: 4* Hotel Martin's Louvain-la-Neuve - 10 rooms prebooked with breakfast included. Preferential rate valid until the end of June.
Option 2: 3* Hotel Ibis Styles Louvain-la-Neuve - 20 rooms prebooked with breakfast included. Preferential rate guaranteed until 7 August (more rooms can be requested upon availability).
Option 3: Gîte Mozaïk - 5 rooms in shared occupancy by max. 4 SCHIER participants, with breakfast included.
All options are available on a first-come, first-served basis.
Formed by members of the IE Education Research Working Group
Contact Us
SCHIER 2025 was co-organised by the IE Education Research Working Group and UCLouvain, with sponsorship from IBM Research Europe and FNRS.
For any further enquiries, please do not hesitate to contact the
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