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MCA Data Analyst Study Guide: Exam Da-100

為了解決Online learning的問題，作者Hyman, Jack A.,Shapiro, Jeffrey R. 這樣論述：

Achieve success as a Microsoft Certified Power BI Data Analyst with this hands-on and practical new guide Data analysts familiar with the Microsoft Azure Cloud platform and Power BI are in heavy demand in the tech industry. And in the MCA Power BI Data Analyst Study Guide: Exam PL-300, readers wi

ll find everything they need to prepare for success on the Microsoft Certified Associate: Data Analyst exam, their next job interview in this area, or their first day in the field for their new career as a Microsoft Certified Power BI Data Analyst. This Study Guide gets you up to speed on data prepa

ration, modeling, visualization, analysis, and solution and deliverable deployment. It’s also a fantastic reference for early-career data analysis and data science professionals seeking to level-up their skills. With this guide you can: Gain the knowledge you need to succeed on an industry-leading c

ertification Jump into a new career in the rapidly growing world of data analytics Access the Sybex online learning resources and test bank, with chapter review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms Perfect for people new to data analyti

cs and the Microsoft Azure Cloud and Power BI platforms, as well as industry professionals who aim to improve their skills and upgrade their careers, the MCA Power BI Data Analyst Study Guide: Exam PL-300 is an indispensable handbook for success as a Microsoft Certified Data Analyst.

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以線上三級介入模式提升國中普通班教師正向行為支持知識之研究

為了解決Online learning的問題，作者潘淳威 這樣論述：

本研究目的為探討以線上三級介入模式提升國中普通班教師正向行為支持知識之成效以及看法。研究方法採單一受試實驗之變更情境設計，以6名國中普通班教師為研究參與者，採用三級介入模式進行線上培訓，依序以自學、團體工作坊、一對一教練方式進行，每一階段評量結果未達90%之參與者進入下一階段接受介入，介入完成後填寫回饋調查。將所蒐集之量化資料進行視覺分析，並統整參與者回饋等相關質性資料，得到以下發現。一、 以線上三級介入模式實施正向行為支持課程，有2位教師能在次級達通過標準。二、 以線上三級介入模式實施正向行為支持課程，可提升6位教師正向行為支持的知識，其中2位教師達通過標準。三、 5位教師認同以行為技能訓

練融入教材與教學有助於學習與操作，4位教師對本教材持肯定態度。四、 4位教師認同線上三級模式可提供他們在學習上不同程度的支持、能滿足其學習風格與偏好。五、 4位教師認為正向行為支持對處理學生行為問題有幫助，願意在未來使用，並有信心能預防行為問題。

The Shape of Data in Chemistry: An Introduction to Graphs and Topological Data Analysis

為了解決Online learning的問題，作者Clark, Aurora 這樣論述：

An Advanced Textbook Introducing Graph Theory and Topological Data Analysis for ChemistsChemistry is at a tipping point where the integration with applied mathematics is dramatically expanding research paradigms, chemical models and theories. Methods that include graph theory, algebraic geometry, ge

ometric topology and topological data analysis expand chemical insight by providing intuitive information extracted from complex chemistry data. Written by a world leader and pioneer in graph theory and topological analyses in chemistry, The Shape of Data in Chemistry is an advanced textbook that in

troduces the aforementioned topics to chemists so that they may identify patterns and correlations in data sets that span electronic structure, the statistical ensembles of molecules, colloids, and interfaces, as well as experimental measurement. Within detailed chapters that introduce core concepts

and theoretical backgrounds, ’real world’ examples are described that are supported by online data sets, Jupyter notebooks, and discussion on expanding chemistry concepts/models. Case study chapters are also presented throughout the text, highlighting applications of these methods in the study of c

hemical reaction networks, nanoporous materials, energy landscapes, and many others. Some of the topics and learning materials covered and included within the work are: Graph theory: descriptors of chemical graphs across scale, spectral graph theory, and dynamic properties of chemical graphsTopologi

cal data analysis: morse theory, topological spaces in chemistry, geometric measure theory, homology and persistence, stability and distance, and integration with machine learningA companion website hosts data sets and Jupyter notebooks to accompany the real-world examples and case studies presented

throughout the bookExample software input files for analyses with different codes are also included to aid in reader comprehensionThe Shape of Data in Chemistry serves as a forward-thinking and modern introduction to graph theory and topological analysis for researchers working at the intersection

of chemistry, applied mathematics, and data science, as well as those in fields related to computational chemistry, materials science, physics and applied mathematics. Upper-level undergraduate and graduate students enrolled in courses that focus on data science in the physical sciences will also be

able to use the work to gain an understanding of innovative topics related to their areas of study, while math students will find unique applications and domain expertise that inspire mathematical development. Aurora Clark is a Professor of Chemistry at Washington State University and a Fellow of

the American Chemical Society, the American Association for the Advancement of Science, and the American Physical Society. Her research employs both quantum and statistical mechanics to study chemical processes within complex chemical environments, focusing on solution chemistry and liquid interfac

es.

探討認知師徒制融入數位學習之學習成效及自主學習行為-以醫放系實習生學習上腹部超音波病灶辨認為例

為了解決Online learning的問題，作者蘇于珊 這樣論述：

近幾年，受到疫情的影響使得數位學習在教學領域上的應用愈來愈普遍，數位學習運用在醫學領域相關課程的學門逐漸受到重視。醫院放射科的超音波技術非常重視實作經驗及影像辨認，一向使用師徒制的方式來進行教學，每位實習生所遇到的病灶量與質有差異，且學習過程缺少了反思和探索。因此本研究運用融入認知師徒制之數位學習來進行上腹部超音波病灶之教學，以到醫院實習的醫放系22位實習生為研究對象，希望能藉此提升實習生辨認超音波病灶的學習成效、並探討其學習滿意度及自主學習行為。結果發現運用數位學習上腹部超音波的方式確實能夠提升實習生辨認超音波病灶的學習成效，且整體學習滿意度頗佳，自主學習能力也有提升學習滿意度及自主學習之

間具有顯著相關，且學生的自主學習能力與專題報告也呈現顯著正相關。建議臨床教師推動數位學習融入超音波實習課程，可採用同步線上課程和非同步線上課程的搭配方式及利用線上討論和通訊軟體提供互動活動，未來研究可融入自主學習策略於教學探討對學生自主學習行為和能力的幫助。