About Participate Hackathons

DigiEduHack 2025

Rethinking education in the age of digital skills.

Get ready: the 6th edition of DigiEduHack will take place 7-16 Nov 2025

Seize the opportunity, let's support people-driven digital transformation in education together!

EduHack: Building Learning Pathways with Low-Code and GenAI

Organisations are increasingly turning to low-code and GenAI platforms to streamline HR processes and empower employees. This hackathon invites participants to build solutions that help match skills with tasks, create personalised learning journeys, and support workforce development. Your challenge is to prototype a tool or system that leverages low-code and GenAI to make HR decisions more data-driven and interoperable across platforms. Whether it's a skill-matching engine, a career path recommender, or a training dashboard, your solution should demonstrate how low-code solutions can support data-driven, more agile workforce management.

The onsite location for attending this blended hackathon in person is: Gustav III:s Boulevard 130, Solna, Stockholm

Questions?
jonas.backelin@tietoevry.com
EduHack: Building Learning Pathways with Low-Code and GenAI
2
Who can join?
VET students
University students
Teachers and/or educators
Researchers
Education professionals
Innovators
Digital education enthusiasts
Other

Human resource professionals

12 - 13 NOV 2025
Register by 31 OCT
Language(s) of the hackathon

English, Swedish

Blended

Gustav III:s Boulevard 130, Solna, Stockholm - Sweden

Category:
Data-Driven Education

Challenge and goals

Prototype a low-code or GenAI-powered HR tool for learning and skill matching without coding expertise with the following functions:

•Recommending personalised learning pathways based on organisational demand.

•Matching existing employee profiles with evolving skill requirements.

•Supporting internal mobility and retention through transparent, stackable, and flexible credentials.

Expectations and requirements for the solutions and participants

Participants must use at least one low-code or GenAI platform. Solutions should demonstrate personalised learning pathways based and data-driven decision-making. Teams should consider real-world HR scenarios and include a working prototype or demo with a short pitch.

Available Support

We will meet on Tuesday 11 November (09:00-11:00) and Thursday 13 November (15:00-17:00)

Download Material

The attached IGO-Time Model by Sue Bennett (2014) is a useful framework on the area of Virtual Human Resource Development (VHRD). 

IGO model

Judges

Jonas Bäckelin
Jonas Bäckelin
Senior Solution Consultant

Prizes

Winning teams receive mentorship to develop a Proof of Concept (PoC) and support in crafting a business case with the potential to apply for funding. No access to tools is provided, but expert guidance will help shape your solution for real-world impact.