Course description
A focused professional learning journey.
STEM learning is most inclusive when it begins with a problem that matters and gives learners multiple ways to investigate, model, build and explain. Literacy and numeracy are not prerequisites to be completed elsewhere; they can be deliberately strengthened inside meaningful science and engineering work.
Participants solve accessible challenges, make computational thinking visible and design supports for language, data and collaboration. Coding may be included where useful, but the core ideas are taught through both digital and unplugged approaches.
Who is this course for?
Primary, lower-secondary and vocational teachers across subject areas.
Course objectives
- Connect STEM challenges with literacy and numeracy growth
- Teach computational thinking beyond programming
- Structure fair and accessible scientific inquiry
- Use engineering design to normalise iteration and revision
- Support language, data interpretation and collaboration
- Assess reasoning and evidence as well as final answers
Learning outcomes
By the end of the course, participants will be able to:
- Design an authentic interdisciplinary STEM challenge
- Use decomposition, patterns, abstraction and algorithms
- Create literacy and numeracy scaffolds for inquiry
- Facilitate a low-cost engineering design cycle
- Build criteria for process, reasoning and product
- Present an inclusive STEM learning sequence
Detailed 5-day programme
Fifteen connected modules, from understanding to confident application.
STEM Identity, Belonging and Authentic Problems
Who Gets to See Themselves as a STEM Learner?
Examine expectations, representation, task design and classroom discourse that influence participation and confidence.
Turning Everyday Problems Into STEM Challenges
Frame accessible problems with genuine constraints, multiple solutions and links to science, mathematics, technology and communication.
Authentic STEM Challenge Design
Turn an everyday problem into an accessible brief with genuine constraints, multiple solutions and visible links to science, mathematics and communication.
Practical outcome: Authentic STEM challenge brief
Computational Thinking With and Without Coding
Decomposition, Patterns and Abstraction
Break complex situations into manageable parts, identify what repeats and decide which information matters through practical unplugged tasks.
Algorithms, Debugging and Iteration
Write precise processes, test them with others and treat errors as useful evidence. Connect these habits to writing, mathematics and practical routines.
Unplugged Computational Thinking Lab
Solve and adapt tasks involving decomposition, patterns, abstraction, algorithms and debugging without making coding a prerequisite for participation.
Practical outcome: Computational-thinking activity sequence
Inquiry, Evidence and Basic Skills
Questions, Variables and Fair Investigation
Move from curiosity to testable questions, make decisions about variables and gather evidence with age-appropriate rigour.
Reading, Measuring and Explaining Data
Embed vocabulary, diagrams, tables, estimation, graph interpretation and claim-evidence-reasoning supports inside the investigation.
Inquiry and Data Evidence Workshop
Plan a fair investigation and build vocabulary, measurement, tables, graph interpretation and claim-evidence-reasoning supports into the learning process.
Practical outcome: Inquiry plan with literacy and numeracy scaffolds
Engineering Design for Inclusive Collaboration
Imagine, Build, Test and Improve
Experience a low-cost design challenge, document design decisions and use test results to improve a prototype.
Roles, Constraints and Accessible Participation
Structure team roles that value planning, making, measuring, documenting and presenting. Adapt materials and processes without removing challenge.
Inclusive Engineering Sprint
Build, test and improve a low-cost prototype while using roles that value planning, making, measuring, documenting and explaining.
Practical outcome: Prototype cycle and collaboration plan
Challenge Showcase and Assessment
Assessing Thinking, Not Just the Final Model
Create observable criteria for problem framing, evidence, computation, iteration, teamwork and explanation.
Micro-Teaching and Design Review
Facilitate part of the challenge, gather learner-perspective feedback and revise instructions, scaffolds and assessment.
STEM Performance Task Studio
Create criteria for reasoning, evidence, iteration, collaboration and product quality, then micro-teach part of the challenge and revise it.
Practical outcome: Inclusive STEM challenge and performance rubric
The sequence and examples may be fine-tuned after the pre-course needs analysis. The published learning outcomes and 30 teaching hours remain unchanged.
Teaching and learning methods
The course uses active professional learning. Short conceptual inputs are followed by investigation, creation, testing, feedback and reflection connected to each participant’s own educational context.
Your course product
An inclusive STEM challenge with real-world context, computational-thinking pathway, basic-skills supports, prototype cycle and performance rubric.
European relevance
The course translates European priorities and competence frameworks into practical educational and institutional action.
Erasmus+ priorities
- Inclusion and diversityWidening participation in STEM through accessible inquiry, explicit basic-skills support and attention to stereotypes and unequal opportunity.
- Digital transformationDeveloping computational thinking, data literacy and purposeful use of digital tools across subject areas.
- Quality and innovation in educationConnecting literacy, mathematics, science and technology through authentic interdisciplinary problems.
- Participation in democratic lifeEquipping learners to use evidence, reason collaboratively and engage with science- and technology-related societal questions.
EU competence frameworks and reference instruments
- Action Plan on Basic SkillsSupporting stronger literacy, mathematics, science, digital and citizenship competences and better support for educators.
- European STEM Education Strategic PlanPromoting inclusive, attractive and coordinated STEM education linked to Europe’s skills needs.
- Key Competences for Lifelong LearningProviding the European reference for mathematical, scientific, technological, digital and learning-to-learn competence.
- DigComp 3.0Supporting data literacy, computational thinking, digital creation and problem solving.
- EntreCompDeveloping creativity, initiative, collaboration and learning through experimentation and iteration.
Assessment, validation and follow-up
Learning is evidenced through active participation, daily practical outcomes, peer and trainer feedback, the final course product and an individual transfer commitment. Participants receive a Certificate of Attendance. Learning Agreement and Europass Mobility support is available when required.
