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educationaltechnologyjournal.springeropen.com | ||
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www.dubberly.com
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| | | | | [AI summary] The article discusses the need for a paradigm shift in design education to address complex, real-world challenges. It outlines the current limitations of design education, which often focuses on artifact-oriented problem-solving and lacks integration with emerging technologies and systems thinking. The text highlights the importance of rethinking design curricula to incorporate interdisciplinary approaches, critical thinking, and a broader understanding of social, environmental, and technological contexts. It also addresses the role of design in fostering innovation, sustainability, and societal impact, emphasizing the need for design education to evolve beyond traditional frameworks to better prepare students for the challenges of the future. T... | |
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progearthplanetsci.springeropen.com
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| | | | | Proposed in 1954, Alisov's climate classification (CC) focuses on climatic changes observed in January-July in large-scale air mass zones and their fronts. Herein, data clustering by machine learning was applied to global reanalysis data to quantitatively and objectively determine air mass zones, which were then used to classify the global climate. The differences in air mass zones between two half-year seasons were used to determine climatic zones, which were then subdivided into continental or maritime climatic regions or according to east-west climatic differences. This study renews Alisov's CC for the first time in almost 70years and employs data-driven machine learning to establish a standard for causal CC based on air masses. | |
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behavioralscientist.org
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| | | | | We asked you to share your hopes and fears, predictions and warnings, open questions and big ideas. So, what might the next decade hold? | |
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www.climate-skeptic.com
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