Learn to Machine Learn: Designing a Game Based Approach for Teaching Machine Learning to Primary and Secondary Education Students-Reference-Cited by-同舟云学术

Learn to Machine Learn: Designing a Game Based Approach for Teaching Machine Learning to Primary and Secondary Education Students

Published:2021-06-24 Issue: Volume: Page:
ISSN:
Container-title:Interaction Design and Children
language:
Short-container-title:

Author:

Voulgari Iro¹,Zammit Marvin¹,Stouraitis Elias²,Liapis Antonios¹,Yannakakis Georgios¹

Affiliation:

1. Institute of Digital Games University of Malta, Malta

2. Palladio School, Greece

Funder

ERASMUS+ Strategic Partnership

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459990.3465176

Reference23 articles.

1. Teaching children digital literacy through design-based learning with digital toolkits in schools

2. Staging Reflections on Ethical Dilemmas in Machine Learning

3. Douglas Clark Brian Nelson Pratim Sengupta and Cynthia D’Angelo. 2009. Rethinking Science Learning Through Digital Games and Simulations: Genres Examples and Evidence. In Learning science: Computer games simulations and education workshop. Douglas Clark Brian Nelson Pratim Sengupta and Cynthia D’Angelo. 2009. Rethinking Science Learning Through Digital Games and Simulations: Genres Examples and Evidence. In Learning science: Computer games simulations and education workshop.

4. Inclusive AI literacy for kids around the world

5. Michail Giannakos Iro Voulgari Sofia Papavlasopoulou Zacharoula Papamitsiou and Georgios Yannakakis. 2020. Games for Artificial Intelligence and Machine Learning Education: Review and Perspectives. 117–133. https://doi.org/10.1007/978-981-15-6747-6_7 Michail Giannakos Iro Voulgari Sofia Papavlasopoulou Zacharoula Papamitsiou and Georgios Yannakakis. 2020. Games for Artificial Intelligence and Machine Learning Education: Review and Perspectives. 117–133. https://doi.org/10.1007/978-981-15-6747-6_7

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