Recreational physics problems for a broad audience

The presented article is an attempt to interpret the historical phenomenon of VHS during the economic transformation in Poland. This technology is understood here as an ideological complex, which functioned on three levels: content distributed on videotapes, a business model, and an offer directed to a broad audience. Through films distributed on tape, VHS was a medium of capitalist realism: it showed capitalist social formation as a background for the way in which individuals experience their lives. VHS was also a transitory phenomenon: as a technology, medium of specific content, and practice it has lost popularity towards the end of the phase of capitalism, with which it was tied.

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Transformation of Multiple Representations in Understanding Real-World Physics Problems

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020248 ◽

2020 ◽

Vol 24 (5) ◽

pp. 5413-5425

Author(s):

Mazlena Murshed

Keyword(s):

Real World ◽

Multiple Representations ◽

Physics Problems

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Critical Thinking and Physics Problems

EDU REVIEW. Revista Internacional de Educación y Aprendizaje ◽

10.37467/gka-revedu.v8.2663 ◽

2020 ◽

Vol 8 (2) ◽

pp. 119-126

Author(s):

Anna Trúsiková ◽

Klára Velmoská

Keyword(s):

Critical Thinking ◽

Everyday Life ◽

School Attendance ◽

Physics Problems

Critical thinking is considered to be one of the most important abilities which help us to solve problems, interpret information or make decisions in everyday life. Every person needs to use critical thinking, therefore, it is important to develop students' critical thinking in all classes including Physics. We summarize various definitions of critical thinking and we describe the survey, where students solve problems whose solution requires critical thinking. We compare students' results to see if they can solve problems without physics content with better successfulness than the problems with physics content and to see how the school attendance impacts its development.

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Big Questions in Ecology and Evolution

10.1093/oso/9780199548606.001.0001 ◽

2009 ◽

Cited By ~ 3

Author(s):

Thomas N. Sherratt ◽

David M. Wilkinson

Keyword(s):

Partial Solution ◽

Fundamental Importance ◽

Evolutionary Perspective ◽

Text Book ◽

Broad Audience ◽

The Future ◽

The Tropics ◽

Made In ◽

Do So

Why do we age? Why cooperate? Why do so many species engage in sex? Why do the tropics have so many species? When did humans start to affect world climate? This book provides an introduction to a range of fundamental questions that have taxed evolutionary biologists and ecologists for decades. Some of the phenomena discussed are, on first reflection, simply puzzling to understand from an evolutionary perspective, whilst others have direct implications for the future of the planet. All of the questions posed have at least a partial solution, all have seen exciting breakthroughs in recent years, yet many of the explanations continue to be hotly debated. Big Questions in Ecology and Evolution is a curiosity-driven book, written in an accessible way so as to appeal to a broad audience. It is very deliberately not a formal text book, but something designed to transmit the excitement and breadth of the field by discussing a number of major questions in ecology and evolution and how they have been answered. This is a book aimed at informing and inspiring anybody with an interest in ecology and evolution. It reveals to the reader the immense scope of the field, its fundamental importance, and the exciting breakthroughs that have been made in recent years.

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The graph neural networking challenge

ACM SIGCOMM Computer Communication Review ◽

10.1145/3477482.3477485 ◽

2021 ◽

Vol 51 (3) ◽

pp. 9-16

Author(s):

José Suárez-Varela ◽

Miquel Ferriol-Galmés ◽

Albert López ◽

Paul Almasan ◽

Guillermo Bernárdez ◽

...

Keyword(s):

Machine Learning ◽

Computer Networks ◽

Real World ◽

Large Scale ◽

Lessons Learned ◽

Educational Resources ◽

Global Competition ◽

International Telecommunication Union ◽

International Telecommunication ◽

Broad Audience

During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in real-world deployments. This poses the need to count on new generations of students, researchers and practitioners with a solid background in ML applied to networks. During 2020, the International Telecommunication Union (ITU) has organized the "ITU AI/ML in 5G challenge", an open global competition that has introduced to a broad audience some of the current main challenges in ML for networks. This large-scale initiative has gathered 23 different challenges proposed by network operators, equipment manufacturers and academia, and has attracted a total of 1300+ participants from 60+ countries. This paper narrates our experience organizing one of the proposed challenges: the "Graph Neural Networking Challenge 2020". We describe the problem presented to participants, the tools and resources provided, some organization aspects and participation statistics, an outline of the top-3 awarded solutions, and a summary with some lessons learned during all this journey. As a result, this challenge leaves a curated set of educational resources openly available to anyone interested in the topic.

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