September–October, 2026
➤ Intended for: higher education STEM teachers
➤ ECTS credits: 3
➤ Contact email: oksana.labanova@tktk.ee
NB! Please contact the Erasmus coordinator of your home university to discuss details for funding before you register.
📅 Online Meeting: 8 September 2026, 15:00 (GMT+3)
🏛️ Onsite Meeting: 5–9 October 2026, at TTK University of Applied Sciences, Tallinn, Estonia
Equipping STEM educators with the skills to design meaningful (including AI-aware) digital assessments using STACK in Moodle.
The BIP is organised as a three-part learning process, combining asynchronous preparation, online collaboration, and an in-person intensive week.
Part 1
Preparatory Individual Task
(Before the online session)
Part 2
Online Session
8 September 2026
Part 3
On-Site Intensive Week
5–9 October 2026, Tallinn
Before the online session, participants are asked to complete two preparatory activities to ensure a productive start to the programme:
STACK Practice: Participants practice entering mathematical answers in STACK questions to build familiarity with the system.
Short Presentation: Participants prepare a brief presentation on how they currently assess students in their STEM courses, to be shared during the first day.
The online meeting serves as the programme's kick-off. It focuses on:
Getting to know each other and the facilitation team.
Going through practical and organisational details of the BIP.
Introducing the main themes of the intensive week.
During the in-person part in Tallinn, participants engage in hands-on workshops, collaborative design sessions, and peer exchange. The week progresses from foundational understanding of AI-aware assessment to practical STACK question creation, advanced tooling, and course integration.
Day 1
· 5 Oct
13:30–14:00 Registration, welcome tea/coffee
14:00–14:30 Welcome session
14:30–16:00 Sharing experience: How do we assess in STEM?
Including a short presentation of the STACK Community
16:00–17:00 Networking through flavors
Day 2
· 6 Oct
Focus: Building foundational skills to create basic STACK questions in Moodle.
09:30–10:00 Welcome tea/coffee
10:00–11:00 Slot 1: Possibilities of STACK in STEM assessment
11:00–11:15 Fika / coffee break
11:15–12:30 Slot 2: Introduction to STACK question creation
12:30–13:30 Lunch
13:30–15:00 Slot 3: AI assistant for STACK question creation and debugging
17:00–19:00 Dinner
Day 3
· 7 Oct
Focus: Creating assessment tasks that evaluate reasoning, not only final answers, and exploring how AI can both challenge and enhance STACK-based assessment design.
09:30–10:00 Welcome tea/coffee
10:00–11:00 Slot 1: Creating a whole digital learning environment
11:00–11:15 Fika / coffee break
11:15–12:30 Slot 2: AI in assessment and learning design
12:30–13:30 Lunch
13:30–15:00 Slot 3: STACK question banks and examples of good practice
15:00–16:00 Slot 4: AI and STACK
Day 4
· 8 Oct
Interactive Questions with JSXGraph and STACK
09:30–10:00 Welcome tea/coffee
10:00–11:00 Slot 1: JSXGraph workshop, Part 1
11:00–11:15 Fika / coffee break
11:15–12:30 Slot 2: JSXGraph workshop, Part 2
12:30–13:30 Lunch
13:30–15:00 Slot 3: Maxima STACK Sandbox
Evening: Social event
Day 5
· 9 Oct
Reflection and Conclusions
10:00–10:30 Welcome tea/coffee
10:30–11:30 Guided reflection: What can we actually assess in STEM subjects in the age of artificial intelligence?
11:30–11:45 BIP feedback
11:45–12:30 Conclusions and certificates
12:30–13:30 Lunch
This BIP offers a rare opportunity to engage directly with an international community of STEM educators and digital assessment experts. You will gain practical, hands-on skills with STACK — one of the most powerful tools for mathematical assessment in Moodle — while exploring how to design tasks that remain meaningful and rigorous in the age of AI. Beyond the technical skills, you will leave with a network of colleagues, ready-to-use resources, and a fresh perspective on what and how we assess in higher education today.
Design and implement STACK questions in Moodle to assess mathematical and analytical skills.
Develop assessment tasks that evaluate reasoning and are resilient to AI-assisted solutions.
👤 Dr. Wigand Rathmann
Lecturer in the Department of Mathematics at the Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Germany.
His research interests lie in encouraging active participation in classes and fostering a culture of handling errors; promoting logical reasoning in engineering mathematics education; encouraging visual imagination of mathematical concepts (e.g., complex numbers, linear mappings, and multidimensional analysis); visualising mathematical concepts using interactive applets in JSXGraph; and developing interactive tasks with direct feedback to support the learning process.
👤 Juma Zevick Otieno
"I am currently a Doctoral Researcher at the University of Trieste, Italy. My research focuses on technology integration in STEM education, particularly the use of STACK, learning analytics, and data-informed approaches to improve student engagement.
I have a background in STEM education with a strong interest in digital assessment and the development of open educational resources, such as digital textbooks, aimed at improving access to high-quality mathematics education in resource environments."
👤 Dr Konstantina Zerva (to be updated)
"I completed my undergraduate degree in Physics in 2006 at the University of Ioannina, Greece, and received a PhD in Experimental Nuclear Physics in 2013 from the same institution. Following this, I worked as a Teaching Assistant in the School of Physics and Astronomy and the School of Mathematics at the University of Edinburgh.
I am currently a Learning Technician in the School of Mathematics at the University of Edinburgh. My primary role involves designing and developing online assessments for Mathematics courses using the STACK assessment system, as well as providing practical support to colleagues on the effective use of e-assessment. I also ensure that our digital resources are available in accessible formats. Alongside this, I tutor first- and second-year Mathematics students and mentor PhD students seeking teaching accreditation with the Higher Education Academy (HEA). I have a growing interest in the scholarship of learning and teaching, and in how technology and e-learning can be used to support both learners and educators."
👤 Jarkko Hurme
Jarkko Hurme, Ph.Lic, is a PhD student at University of Oulu and currently serves as a Principal Lecturer at Oulu University of Applied Sciences. He has a strong educational background in higher education mathematics and extensive experience in the design and analysis of interactive learning environments.
His research focuses on learning analytics and applied mathematics, with particular emphasis on structural modeling of decision processes in discrete environments. His work investigates how learner behavior, interaction data, and feedback mechanisms can be represented as admissible paths within constrained state spaces, enabling analysis at the level of structure rather than prediction.
His research interests include learning analytics, educational data modeling, discrete dynamical systems, path-based and energy-based representations, game-theoretic perspectives on human–computer interaction, as well as distance learning and didactics. A central theme in his work is the development of abstract, platform-independent frameworks that support transparent interpretation of observed behavior without introducing latent variables or domain-specific assumptions.
👤 Jesús Copado Mejías (to be updated)
Universidad Pablo de Olavide, Spain
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NB! Please contact the Erasmus coordinator of your home university to discuss details for funding before you register.
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