The main aim of Portfolio is to collect the evidence of your pedagogical experience to be provided as supporting document together with the application form.
The documents included in the portfolio do not need to be translated if they are available in the following languages: English, Spanish, French, Portuguese, Russian, Mandarin and Cantonese, Kazakh
All documents should be uploaded as ONE PDF file.
Scan copies of the following formal documents are required to be included in the portfolio to evidence your educational background and current professional position:
- Higher Education degree(s) diploma(s)
- Any additional postgraduate diploma (s)
- Proof of employment (document confirming your employment including a current position in the indicated organization)
Please provide evidence demonstrating your competencies in the following domains:
A. Pedagogical competences (14)
1. Innovation in Scientific and Mathematical Pedagogy
Description: Designs and applies innovative, research-informed approaches to teaching natural sciences, mathematics and statistics, including active learning, inquiry, modelling and data-focused methods.
2. Time Management
Description: Manages time efficiently across lectures, tutorials, labs, problem sessions, fieldwork and assessment, ensuring adequate practice and feedback opportunities.
3. Effective Interaction
Description: Communicates concepts clearly, checks understanding regularly and responds flexibly to student questions and difficulties.
4. Reinforcing Interactivity in Teaching–Learning
Description: Uses interactive techniques (e.g. clicker questions, guided problem-solving, small-group tasks) to engage students actively in sense-making.
5. Conceptual and Systemic Analysis in Science and Mathematics Education
Description: Helps students connect concepts across topics and scales (e.g. micro–macro, local–global), and understand the structure of scientific and mathematical theories.
6. Pedagogical Psychology and Communication
Description: Applies knowledge about learning, cognition, misconceptions and motivation to support diverse learners and combat math/science anxiety.
7. Stakeholder Interaction with Research and Professional Communities
Description: Engages with research institutes, laboratories, professional societies, industry and public bodies to enrich teaching with current scientific and quantitative practice.
8. Sustainable Development and Scientific Responsibility
Description: Integrates topics such as environmental change, resource use, risk, uncertainty and ethical use of scientific and statistical evidence into teaching.
9. Digital Education, Modelling and Data Tools
Description: Uses digital tools (e.g. simulation software, CAS, statistical packages, programming environments, virtual labs) in ways that deepen conceptual understanding and modelling skills.
10. Problem/Project/Practice-Based Learning in Scientific and Quantitative Contexts
Description: Designs and supervises problems and projects that require students to formulate questions, model phenomena, design experiments, analyse data and communicate results.
11. Learning Outcomes Assessment
Description: Develops assessments that validly measure conceptual understanding, procedural fluency, modelling, data analysis, experimental skills and scientific reasoning.
12. Curriculum Design
Description: Contributes to curriculum design and review, ensuring coherent progression from foundational to advanced concepts and integration of theory, experiment and computation.
13. Integration of Research and Teaching
Description: Incorporates current research topics, methods and findings into teaching, offering students authentic insight into scientific and mathematical inquiry.
14. Lifelong Learning
Description: Models and encourages continual updating of knowledge and methods, emphasising that scientific and mathematical understanding evolves over time.B.
Research competences (6)
15. Scientific and/or Mathematical Research Production
Description: Conducts and disseminates research in a relevant scientific, mathematical or statistical field and/or in discipline-based education research.
16. Participation in Research Projects and Networks
Description: Participates in or leads research projects, collaborations and networks, often involving interdisciplinary partners.
17. Methodological and Epistemological Competence
Description: Demonstrates deep understanding of scientific and mathematical methods, including experimental design, modelling, proof, statistical inference and uncertainty.
18. Research Communication
Description: Communicates research findings clearly and accurately to specialist and non-specialist audiences, using appropriate representations (formulas, graphs, visuals, narratives).
19. Research Training and Supervision
Description: Supervises student research projects, theses and dissertations, including experimental, theoretical, computational and data-intensive work, ensuring rigour and ethical conduct.
20. Critical Thinking and Scientific Reasoning
Description: Models and cultivates critical evaluation of evidence, logical reasoning, scepticism and openness to revision in light of new data.
C. Management and motivation competences (5)
21. Academic and Infrastructure Management
Description: Manages courses, labs, field activities, equipment and digital resources efficiently and safely, respecting regulations and institutional procedures.
22. Leadership and Team Coordination
Description: Leads and coordinates teams of educators, researchers, technical staff and sometimes students in labs, field campaigns, observatories or data centres.23. 23. Motivation and Student Engagement
Description: Uses strategies to build student interest and persistence in demanding quantitative and conceptual work, supporting them through difficulties and setbacks.
24. Institutional and Societal Engagement
Description: Engages with institutional bodies, schools, science centres, policy actors and the public to promote scientific and quantitative literacy.
25. Professional Motivation and Commitment
Description: Demonstrates commitment to the profession of natural sciences, mathematics and statistics education, actively seeking opportunities to improve teaching, share practice and mentor colleagues.
Examples of evidence that could be provided:
- Certificates of trainings and professional development programs you successfully passed within the last 5 years (if there are too many upload 10 most relevant)
- Certificates confirming your participation in the relevant events within the last 5 years (if there are too many upload 10 most relevant)
- Certificates or other type of documents confirming your membership in professional associations, networks, societies
- Evidence of relevant awards, scholarships, honorary titles, etc.
- Evidence of application of certain methodologies, approaches, tools in your teahcing practice (digital tools, PBL, Education for Sustainable Development, etc.): extracts from your teaching materials, course syllabus and other.