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MachineLearnAthon - Developing Machine Learning Competencies for Interdisciplinary Teams at Universities

Funder: European CommissionProject code: 2022-1-DE01-KA220-HED-000086932
Funded under: ERASMUS+ | Partnerships for cooperation and exchanges of practices | Cooperation partnerships in higher education Funder Contribution: 400,000 EUR
Open Access mandate
Publications: NoResearch data: No

MachineLearnAthon - Developing Machine Learning Competencies for Interdisciplinary Teams at Universities

Description

<< Objectives >>The MachineLearnAthon project aims to develop increasingly relevant machine learning (ML) competencies and skills among students from various study programs. To this end, we propose a new teaching concept complementing ML challenges with micro-lectures. Our innovative concept promotes motivation and action-oriented learning through project-based tasks and gamification elements. In addition, the students acquire competencies required for cooperation in interdisciplinary and international teams.<< Implementation >>- DIDACTIC CONCEPT: Develop and improve the didactic concept of MachineLearnArthon.- CHALLENGES: Develop and publish real-world MachineLearnAthon use cases with industry partners.- MATERIAL: Develop and publish additional learning material to make ML challenges accessible to students with no prior ML knowledge.- EVALUATION: Run and evaluate MachineLearnAthons at all partner universities.- WHITE PAPER: Disseminate the concept and the evaluation results through white papers.<< Results >>- More than four MachineLearnAthon cases support the digital transformation and the wide acceptance of machine learning solutions.- Free MachineLearnAthons cases, micro-lectures, and ML tool introduction units are integrated in existing courses or are established as new courses in different programs of our universities.- Digital environment for collaboration and comparison of challenge results (leaderboard) connects students and partner universities and promotes innovative learning.

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