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高中進階英單完全掌握：主題式速記學測指考高頻單字(20K+1MP3)

為了解決Change synonym的問題，作者江正文 這樣論述：

　　精選大考中心3500–7000，四～六級高中字彙 　　高頻率+中高階選字 讓你輕鬆拿高分！ 　　收錄學測、指考超高頻進階單字，一舉戰勝字彙題！ 　　主題式速記法，輕鬆加深背單字印象，提升學習效率！ 　　學測指考高分必備單字書！ 　　選自大考中心所頒布《高中英文參考詞彙表》3500–7000高頻單字，第四～六級字彙，依主題分類編排，共16個主題，60個單元。每單元嚴選25–35個核心單字，延伸補充單字近義字與形近字，並搭配活用例句，讓你在短時間內輕鬆累積高中字彙量，戰勝大考單字！ 本書特色 　　1.單字按主題分類編排，觸類旁通加強記憶 　　將單字依生活化主題分為16大類，包含情

緒與感覺、經濟與金融、日常生活、身心健康、環境生態等多元主題。每主題更細分成4—5單元，每單元約有25—35個核心單字，分量適中，方便學習。各單字並延伸出數個近義字與形近字，觸類旁通進而加強記憶效果！ 　　2.收錄中高階高頻單字，短時間收到最大成效 　　收錄大考中心高中進階字彙。選字更網羅近十年學測、指考字彙題單字，讓想考高分的學生輕鬆掌握大考必考單字範圍。 　　3.單字詞類變化與搭配用法一起背，提升學習效率 　　將單字各詞類變化羅列一組且配有例句，一次背齊單字不同詞性拼法，提升學習效率。單字後則列出搭配用法，一次搞懂單字用法與搭配詞，協助活用單字，增進寫作能力。 　　4.單字依其意義或

字形重複出現，強化記憶網絡 　　同單字可能依其意義或字形的連結關係，在不同條目中重複出現，學生在經過多次複習與背誦後，自然形成單字間記憶網絡，加強聯想效果。 　　5.收錄字義辨析專欄，輕鬆搞懂意義相近單字 　　列有12個字義辨析專欄，將意義接近，但用法迥異的單字進行比較，並列出用法與例句，輕鬆釐清同義字的用法與不同之處。 　　6.每單元皆設有測驗題，立即檢視學習效果 　　每單元後皆有字義選擇題與中譯搭配題，學習後立即測驗學習成效，針對不熟悉的部分進行補強。 　　7.附核心單字與例句朗讀MP3，用聽力加強印象 　　由專業外籍老師錄有核心單字與例句MP3，藉由隨時反覆聆聽，加強背誦印象與拼寫

能力。  

The Science and Practice of Resilience

為了解決Change synonym的問題，作者Linkov, Igor/ Trump, Benjamin D. 這樣論述：

This book offers a comprehensive view on resilience based upon state-of-the-science theories and methodological applications that resilience may fill. Specifically, this text provides a compendium of knowledge on the theory, methods, and practice of resilience across a variety of country and case co

ntexts, and demonstrates how a resilience-based approach can help further improved infrastructure, vibrant societies, and sustainable environments and ecologies, among many others.Resilience is a term with thousands of years of history. Only recently has resilience been applied to the management of

complex interconnected systems, yet its impact as a governing philosophy and an engineering practice has been pronounced. Colloquially, resilience has been used as a synonym for 'bouncing back'. Philosophically and methodologically, however, it is much more. In a world defined by interconnected and

interdependent systems such as water, food, energy, transportation, and the internet, a sudden and unexpected disruption to one critical system can lead to significant challenges for many others. The Science and Practice of Resilience is beneficial for those seeking to gain a rich knowledge of the r

esilience world, as well as for practitioners looking for methods and tools by which resilience may be applied in real-world contexts. Dr. Igor Linkov is the Risk and Decision Science Focus Area Lead with the US Army Engineer Research and Development Center, and Adjunct Professor with Carnegie Mel

lon University. Dr. Linkov has managed multiple risk and resilience assessments and management projects in many application domains, including cybersecurity, transportation, supply chain, homeland security and defense, and critical infrastructure. He was part of several Interagency Committees and Wo

rking Groups tasked with developing resilience metrics and resilience management approaches, including the US Army Corps of Engineers Resilience Roadmap. Dr. Linkov has organized more than thirty national and international conferences and continuing education workshops, including NATO workshops on C

yber Resilience in Estonia (2018) and Finland (2019), as well as Chaired Program Committee for 2015 and 2019 World Congresses on Risk in Singapore and Cape Town. He has published widely on environmental policy, environmental modeling, and risk analysis, including twenty books and over 350 peer-revie

wed papers and book chapters in top journals, like Nature, Nature Nanotechnology, Nature Climate Change, among others. He has served on many review and advisory panels for DOD, DHS, FDA, EPA, NSF, EU and other US and international agencies. Dr. Linkov is Society for Risk Analysis Fellow and recipien

t of 2005 Chauncey Starr Award for exceptional contribution to Risk Analysis as well as 2014 Outstanding Practitioner Award. He is Elected Fellow with the American Association for the Advancement of Science (AAAS). Dr. Linkov has a B.S. and M.Sc. in Physics and Mathematics (Polytechnic Institute) an

d a Ph.D. in Environmental, Occupational and Radiation Health (University of Pittsburgh). He completed his postdoctoral training in Risk Assessment at Harvard University. Dr. Benjamin D. Trump is an ORISE Postdoctoral Fellow for the US Army Corps of Engineers and a Postdoctoral Research Fellow at th

e University of Lisbon, Portugal. He has also held a postdoctoral appointment at the University of Maryland, and as a research intern at the Institute of Occupational Medicine in Singapore. Dr. Trump’s work focuses on decision making and governance of activities under significant uncertainty, such a

s emerging and enabling technologies (synthetic biology, nanotechnology) and developing organizational, infrastructural, social, and informational resilience against systemic threats to complex interconnected systems. Dr. Trump served as a delegate to assist US presence in OECD’s Global Science Foru

m in 2017, and is the President of the Society for Risk Analysis’ Decision Analysis and Risk Specialty Group in 2018-2019. His work has been featured in over 50 peer-reviewed publications, journal articles, and book chapters, including publications in Nature, Nature Nanotechnology, EMBO Reports, Env

ironmental Science & Technology, Health Policy, and Regulation and Governance, among others. Dr. Trump was also an author of the International Risk Governance Council’s Guidelines for the Governance of Systemic Risks, as well as their 2nd Volume of the Resource Guide on Resilience. Dr. Trump is als

o frequently active with several Advanced Research Workshops for the North Atlantic Treaty Organization’s Science for Peace Programme, including his role as a Director of a workshop titled Cybersecurity and Resilience for the Arctic. Dr. Trump received his PhD from the University of Michigan’s Schoo

l of Public Health, Department of Health Management and Policy in 2016. He received a M.S. (2012) in Public Policy and Management and a B.S. in Political Science (2011) from Carnegie Mellon University.

Developing and Validating the Questionnaire and Its Model for Sustainable and Scalable Authentic Contextual Learning Supported by Mobile Apps

為了解決Change synonym的問題，作者嚴烏納 這樣論述：

如今，由於 COVID-19 大流行的影響，世界各地的教學和學習方法都發生了變化。在一些病毒高傳播率的地區，學校已經關閉，使得學習者必須在家學習。因此，需要行動技術，像是行動應用程式來促進學習者的學習。使用行動應用程式進行Authentic contextual learning (ACL)是一種可以期待的學習設計，它可以比傳統的課堂學習更快地提高學習者的學習效果。使用行動應用程式參與 ACL 的學習者可以隨時隨地透過探索自己周遭熟悉的環境進行學習。然而，行動應用程式的使用以及學習者學習的方式可能會導致學習者或他們的父母感到焦慮或是接受度問題。此外，儘管許多研究已經在教育實踐中透過行動應用程

式實測了 ACL，但沒有實證研究基於特定的 ACL 模型來解決行動應用程式對 ACL 的評估，因為相關文獻中不存在這樣的模型。本研究的目的是實測由行動應用程式輔助的 ACL，以促進學習者在 COVID-19 影響下的學習，並調查學習者和家長的焦慮和接受度相關的問題。此外，開發並驗證了一種模型，即sustainable and scalable authentic contextual learning (SSACL)模型，一個能取得特定模型並用於未來相關研究中評估 ACL的特定模型。因此，研究人員進行了三項研究來達成這些研究目標。 第一項研究的統計結果表明，父母對行動應用程式 U-Geo

metry 的真實情境學習的接受程度影響了學習者在技術和教學方面的接受程度。家長的感知易用性和感知有用性影響了學習者的感知易用性和技術方面的積極態度，且將U-Geometry 視為促進學習者 ACL 的學習工具。在教學方面，家長感知易用性正向的調和了學習者感知易用性與積極態度之間的關係；此外，父母的使用意向在學習者的積極態度和使用意向之間起了正向調和作用。這意味著家長對在家中使用行動應用程式實施 ACL 的接受程度與學習者的接受程度密切相關；因此，是值得讓家長在真實的環境中參與學習活動的。第二項研究調查了與焦慮、接受度以及學習者與家長的人口統計因素相關的問題。結果表明，父母在家中使用U-Geo

metry進行ACL後，其焦慮程度明顯低於學習者的焦慮程度。第三項研究顯示了這項長期研究的最重要結果，該研究採用行動應用程式的特定 SSACL 模型。根據結果，透過應用學習、健康學習、協作學習、認知、可持續性和可擴展性等六個基本因素來評估行動應用程式輔助的 ACL 中學習活動的成功與否。研究人員建議應用學習是ACL活動的基礎點，讓學習者在真實情境中學習的同時發展認知。除了通過應用、健康學習、協作學習和認知來滿足學習條件外，我們還可以實現可持續和可擴展學習的理想，以促進在真實環境中的學習。可持續學習確保學習者不斷學習；可擴展學習是指學習環境和地點規模的增加。