LEAP: unLocking carEer potentiAl with comPlex systems, data analytics and machine learning
▶Summary
LEAP aims to equip learners with in-demand ICT skills, bridging the gap between industry and academia by offering a flexible and inclusive learning approach. The project aims to develop and offer ...
▶Objectives
LEAP aims to equip learners with in-demand ICT skills, bridging the gap between industry and academia by offering a flexible and inclusive learning approach. The project aims to develop and offer learning content that is efficient, inclusive and pertinent to the current state of the ICT labour market. The curriculum focuses on complex systems, statistics, data analytics and machine learning, with an experiential pedagogical approach that fosters transferable and forward-looking skills.
▶Activities
LEAP aims at bridging the gap between industry and academia by offering flexible and inclusive outcomes-oriented and student-oriented learning, integrating Complex Systems, Data Analytics, Statistics, and Machine Learning. The planned activities follow the ADDIE model, including needs analysis, pedagogy research, course design, and evaluation. Dissemination activities enhance project impact.
▶Impact
- Gained knowledge regarding ICT-skills mismatches. - A 3-course curriculum on Complex Systems, Data Analytics, Machine Learning and Statistics, aiming at imparting advanced ICT skills and reducing skills shortage. - Online learning opportunities with certification (15 ECTS) to help reduce the ICT skills gap, multilingual course content as OER. - Best practices for delivering digital educational content. - A Community of Practice to enhance collaboration and increase impact.