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arXiv 0909.3895astro-ph.IMcs.DBcs.DLcs.IRphysics.ed-ph
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天文学教育的革命:面向大众的数据科学

The Revolution in Astronomy Education: Data Science for the Masses

Kirk D. Borne, Suzanne Jacoby, K. Carney, A. Connolly, T. Eastman, M. J. Raddick, J. A. Tyson, J. Wallin

摘要:

随着我们研究不断扩展的科学领域的能力不断增加(包括时域,非电磁现象,磁化等离子体,以及具有广泛空间覆盖范围和前所未有深度的多波段天空调查),我们对宇宙的理解也在同样地扩大。这种扩展与来自多个天空调查的指数级数据洪水相结合,在过去十年中,这些数据已经从千兆字节增长到千兆字节,并将在未来十年中从千兆字节增长到千兆字节(甚至数百千兆字节)。随着信息量的增加,我们对信息的认识和理解之间的差距越来越大。为了科学、社区、项目、机构、企业和经济的成功,需要培养下一代从数据中获得智能理解的艺术。这对专家(科学家)和非专家(其他所有人:公众、教育工作者和学生、劳动力)都是如此。专家必须学习和应用新的数据科学研究技术,以促进我们对宇宙的理解。非专业人士需要信息素养技能作为21世纪劳动力的生产成员,在一个日益被数据主导的世界中整合终身学习的基础技能。我们在两个背景下解决数据科学新兴学科对天文学教育的影响:正规教育和终身学习者。

英文摘要:

As our capacity to study ever-expanding domains of our science has increased (including the time domain, non-electromagnetic phenomena, magnetized plasmas, and numerous sky surveys in multiple wavebands with broad spatial coverage and unprecedented depths), so have the horizons of our understanding of the Universe been similarly expanding. This expansion is coupled to the exponential data deluge from multiple sky surveys, which have grown from gigabytes into terabytes during the past decade, and will grow from terabytes into Petabytes (even hundreds of Petabytes) in the next decade. With this increased vastness of information, there is a growing gap between our awareness of that information and our understanding of it. Training the next generation in the fine art of deriving intelligent understanding from data is needed for the success of sciences, communities, projects, agencies, businesses, and economies. This is true for both specialists (scientists) and non-specialists (everyone else: the public, educators and students, workforce). Specialists must learn and apply new data science research techniques in order to advance our understanding of the Universe. Non-specialists require information literacy skills as productive members of the 21st century workforce, integrating foundational skills for lifelong learning in a world increasingly dominated by data. We address the impact of the emerging discipline of data science on astronomy education within two contexts: formal education and lifelong learners.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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