The impact COVID-19 generated on people routine linked with the rapid digitalization has led the educational approach to the need of a fundamental shift. In response to these evolving circumstances, SMILE (Smart Manufacturing Innovation, Learning-Labs, and Entrepreneurship) has undertaken a comprehensive initiative in order to move from the traditional learning labs towards digital ones. This digital transformation aims to enhance students’ learning experiences and problem-solving capabilities by leveraging technologies and innovative approaches. Digital Learning Nuggets are central to this paradigm shift, which are small units of interactive and engaging educational content. These nuggets have proven instrumental in augmenting students’ comprehension and retention of subject matter while fostering a more personalized learning journey. Moreover, the integration of MIRO, a collaborative software platform, further drives students’ learning by facilitating interactive discussions and fostering teamwork in a virtual environment. SMILE’s digital learning lab (SMILE DLL) serves as the foundation for the upcoming Hackathon, an event characterized by the collaboration between academia and industry. In collaboration with various companies, this experiential learning initiative offers students the opportunity to tackle problems posed by these organizations. Participants gain invaluable insights into real-world applications of their knowledge and are better equipped to address complex issues in a professional context. The Hackathon represents the link between academia and industry, fostering a dynamic environment where students can apply theoretical concepts in order to solve real problems. This immersive learning experience not only fosters their critical thinking and analytical skills but also nurtures creativity, adaptability, and teamwork, paramount attributes for today’s competitive job market.

When the Learning Lab Embraces Digitalisation: The Development of a Digital Learning Lab for the SMILE Project

Dautaj M.;Chiriacò F.;Terzi S.;Pero M.;Abdelkafi N.;
2023-01-01

Abstract

The impact COVID-19 generated on people routine linked with the rapid digitalization has led the educational approach to the need of a fundamental shift. In response to these evolving circumstances, SMILE (Smart Manufacturing Innovation, Learning-Labs, and Entrepreneurship) has undertaken a comprehensive initiative in order to move from the traditional learning labs towards digital ones. This digital transformation aims to enhance students’ learning experiences and problem-solving capabilities by leveraging technologies and innovative approaches. Digital Learning Nuggets are central to this paradigm shift, which are small units of interactive and engaging educational content. These nuggets have proven instrumental in augmenting students’ comprehension and retention of subject matter while fostering a more personalized learning journey. Moreover, the integration of MIRO, a collaborative software platform, further drives students’ learning by facilitating interactive discussions and fostering teamwork in a virtual environment. SMILE’s digital learning lab (SMILE DLL) serves as the foundation for the upcoming Hackathon, an event characterized by the collaboration between academia and industry. In collaboration with various companies, this experiential learning initiative offers students the opportunity to tackle problems posed by these organizations. Participants gain invaluable insights into real-world applications of their knowledge and are better equipped to address complex issues in a professional context. The Hackathon represents the link between academia and industry, fostering a dynamic environment where students can apply theoretical concepts in order to solve real problems. This immersive learning experience not only fosters their critical thinking and analytical skills but also nurtures creativity, adaptability, and teamwork, paramount attributes for today’s competitive job market.
2023
Innovative Intelligent Industrial Production and Logistics. IN4PL 2023
9783031493386
9783031493393
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1262849
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