Distance learning的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列線上看、影評和彩蛋懶人包

Distance learning的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦Clark, Aurora寫的 The Shape of Data in Chemistry: An Introduction to Graphs and Topological Data Analysis 和Themelis, Chryssa的 Pedagogy of Tele-Proximity for Elearning: Bridging the Distance with Social Physics都 可以從中找到所需的評價。

另外網站Distance education - Wikipedia也說明:Distance education, also known as distance learning, is the education of students who may not always be physically present at school, or where the learner ...

這兩本書分別來自 和所出版 。

國立臺南大學 數位學習科技學系碩士在職專班 黃意雯所指導 蘇于珊的 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 (2022),提出Distance learning關鍵因素是什麼,來自於認知師徒制、數位學習、學習成效、學習滿意度、自主學習行為。

而第二篇論文中國文化大學 國際企業管理學系 陳彥君所指導 張雅涵的 探討數位科技導入餐飲服務業對於消費者服務體驗之影響 (2022),提出因為有 數位化、餐飲業、餐飲數位科技的重點而找出了 Distance learning的解答。

最後網站Classroom Management Tools & Resources - Google for ...則補充:Schools · For Higher Ed · Distance Learning ... Google Classroom helps educators create engaging learning experiences they can personalize, manage, ...

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Distance learning,大家也想知道這些:

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

為了解決Distance 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.

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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Distance 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。

Pedagogy of Tele-Proximity for Elearning: Bridging the Distance with Social Physics

為了解決Distance learning的問題,作者Themelis, Chryssa 這樣論述:

This book examines networked science and the pedagogy of tele-proximity, a paradigm that integrates eLearning theories, information technology and visual media competencies. The book conceptualises the idea of tele-proximity as a means to foster diversity and human to human contact online. It uses t

he lens of social physics and considers how to bridge the distance in eLearning, examining social connections, collective intelligence and personal wellbeing. The book draws on qualitative and quantitative research in higher education to form fine-tuned eLearning networks that achieve demosophia, th

e core of democracy. It charts the progress of technology-enhanced learning approaches and shows the need for a sound pedagogical framework that is holistic and sustainable to promote mindful presence.Contributing to the literature on eLearning, this timely book will be of great interest to educatio

nal philosophers, policy makers, educators, researchers and students in the field of distance education. Dr Chryssa Themelis is an educational researcher at the Norwegian University of Science and Technology, Norway. Her research involves technology-enhanced learning, and digital innovation.

探討數位科技導入餐飲服務業對於消費者服務體驗之影響

為了解決Distance learning的問題,作者張雅涵 這樣論述:

數位革命成為一股強大的變革力量,然而大多數的研究討論上亦聚焦於導入數位科技對廠商之優勢和效益,卻少以從消費者視角深入地探討心理感受。因此,本研究首先透過文獻綜整分析針對餐飲業將不同數位科技進行分類,並整理說明這些不同類型數位科技之特性,進而運用消費者深度訪談分析這些科技運用對於消費者接觸時所產生之感受和體驗,欲歸納出消費者在面對各類型餐飲數位科技服務的不同服務情境所產生的可能正反面感受。研究結果發現在服務前、中,主要優點是省時、便利、舒適自在。在服務後,其主要優點有輕便方便、舒適自在、自主性。再者,個人的心理也產生截然不同的缺點,在服務前,主要缺點分別為:系統介面未優化、缺乏溫度真實感、服務

介面制式化、疏遠性。而在服務中的有:缺乏溫度真實感、使用介面不流暢、功能單一化。至於在服務後,強迫不適感、時差性、資料安全疑慮盜刷風險上述三個為主要缺點。最後,本研究貢獻方面,在實務管理意涵上,期望透過這些結果能供業者在導入數位科技於服務流程中之商業價值,以提供餐飲業者在擬定服務創新策略時之參考。