LEADS Best practices

Framework for competency-based evaluation of students in higher education


Skills definition


Private training providers, Public HEI and VET providers


Simona Ramanauskaite, Full professor and senior researcher, Vilnius Gediminas Technical University

  • Creating an educational ecosystem to train digital specialists, and improving the evaluation of different students or courses by matching study programmes to the skills produced across Estonia, Lithuania, Latvia, Italy and Spain.
  • The programmes are delivered by Universitat Politécnica de Catalunya, Riga Technical University, Tallin Technical University and Vilnius Gediminas Technical University.
  • Defining the landscape of advanced digital skills and its supporting competencies, and implementing competency oriented student training and evaluation.
  • Providing tools for continuous and competency-oriented student and study programme analysis and monitoring, based on a taxonomy of topics/areas and their relationships, as well as a mapping of educational programmes to topics/areas in different levels.
  • Continuous and competency-oriented student and study programme analysis and monitoring is not commonly applied.
  • Courses tend to be designed in a non-agile manner, with a fixed curriculum and time limit.
  • Lack of standards and/or common language for determining the type and level of digital skills hinders the comparison and analysis of study programmes in different countries and institutions
Key takeaways
  • Use different sources to analyse hard and soft skills, particularly:
    • SME needs
    • Research tendencies
    • Summarised reports
  • Prioritise the skills mapping in line with university priorities.
  • Develop a wide and detailed topic hierarchy for better match between different aggregation level material and course units.