[教育時評] 如何發展批判性思考?
We now know that critical thinking is needed to solve complex problems and that it can be defined as a set of skills, but how exactly do we develop it?
現在,我們知道解決困難的問題時需要批判性思考,而亦可將之視為一套技能,但我們該如何發展它呢?
來拿我們的【新聞英文+批判性思考: Marketing & Influencers 補充包】https://bit.ly/2YJPZvb
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One way is to use Bloom's taxonomy when learning something new. After you remember the information, see if you can move up the pyramid by using the key verbs listed in each step to facilitate discussion and higher-order thinking.
One does not need to carry out each of these steps in order (e.g., apply before analyze). However, learners typically need to "understand" information before they can "analyze" and "evaluate" it.
Bloom's taxonomy can be used individually or with teachers and peers. Use it when acquiring information or thinking about a complex issue.
當你在接收資訊時,布魯姆的分類法(Bloom's taxonomy)或許是其中一種可用之法。布魯姆分類法是美國教育心理學家班傑明・布魯姆(Benjamin Bloom)於1956年在芝加哥大學所提出的分類法,將教育者的教學目標分類,以便更有效地達成各項目標。在你記住所接收的資訊後,請檢視自己是否可以用下方金字塔中所列出的關鍵動詞來逐步遞進。
無需按順序執行這些步驟(例如分析可以在應用之前),只是人們通常需要先記住與理解資訊,然後才能對資訊進行分析與評估。布魯姆的分類法可單獨使用,也可以與老師及同儕一起使用。在學習或思考議題時請善用它。
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Can you use this taxonomy in English learning? Can you think critically when learning English?
你可以在英語學習中使用這個分類法嗎?學習英文時你能批判性思考嗎?
Yes, you can! Language is a tool for us to decode text, symbols, and sounds and find meaning. It enables us to receive and give information, or in short, to communicate. Once we receive information, we can take the next step and begin thinking critically. Doing so will enhance our understanding of new information and help us to decide what action to take.
當然可以!語言是我們解碼文本、符號與聲音並且找尋意義的工具。它使我們能夠接收並提供資訊,或者簡單來說就是得以與人交流。當我們藉由語言獲得資訊後,下一步便是批判性思考。批判性思考可增進我們對資訊的理解並幫助我們根據該訊息採取行動。
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Many beginning English learners think it is impossible to think critically when learning because they only understand a few words. However, a learner can use critical thinking even when learning the most basic words!
許多英語初學者認為,批判性思考與英語學習不可能並行,因為他們只會幾個單詞。然而,即便是學習最基礎的語言也可以引入批判性思考。
First, teachers can use the students' first language to help them understand higher-level concepts and facilitate thinking. Second, learners can break down the complex process of critical thinking into simple steps by using Bloom's taxonomy.
首先,老師可用學生的母語,來協助他們建立層次較高的概念並促進思考。接著,老師可使用布魯姆的分類法來拆解批判性思考的複雜過程。
例如,我們今天學了蘋果(apple)和橘子(orange)這兩個單詞:
在記住知識(remember)的階段,老師可以問:水果的顏色、形狀,甚至是哪一個比較大?
在理解(understand)的階段,老師可以問:哪一個的維他命C比較多?哪一個切開後的色澤較易改變?
在應用(apply)時,可以問該用什麼東西去除它們的果皮?看到蘋果有個洞時是否該吃它?
在分析(analyze)時,我們可以比較這兩個水果分別提供了哪些營養?
在評鑑(evaluate)時,則會問哪一個水果對我們比較好?為什麼這一個比較貴,另一個卻比較便宜?
最後,在創造(create)階段的我們可想像可以如何創造一個由蘋果跟橘子融合起來的水果。它會長成什麼樣子?在此可以去想像,去發揮、去創造。
如你所見,每當你接收任何資訊,甚至是基礎語言學習,都可以鍛鍊批判性思考。
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As you can see, you can develop critical thinking every time you acquire new information, even when learning a second language. Now you know what critical thinking is, how it can help you, and how you can develop it!
After all that, I am still not going to give you a simple definition of critical thinking. If I were to do so, then I would not be helping you to think critically.
You're welcome to leave your own definition below.
現在,你已瞭解何謂批判性思考、它如何幫助我們以及該如何發展它。但即便如此,我仍不會給出一個簡單的定義。若然,反倒會阻礙你進行批判性思考。
歡迎大家在下方留言與我們分享你的定義。
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參考文獻
Athanassiou, N., McNett, J. M., & Harvey, C. (2003). Critical thinking in the management classroom: Bloom's taxonomy as a learning tool. Journal of Management Education, 27(5), 533-555.
Facione, P. A. (2011). Critical thinking: What it is and why it counts. Insight assessment, 2007(1), 1-23.
McPeck, J. E. (2016). Critical thinking and education. Routledge.
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Bonus question: What is the biggest difference between the steps "apply" and "create"?
Hint: You can find the answer in the picture.
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how to solve time management problems 在 ลงทุนแมน Facebook 的最佳解答
สรุปเรื่อง Japan Airlines ฟื้นหลังล้มละลาย ได้อย่างไร? แบบเข้าใจง่ายๆ /โดย ลงทุนแมน
ถ้าบริษัทเรามีหนี้สินกว่า 690,000 ล้านบาท และกำลังจะล้มละลาย
เราคงถูกมองว่าบ้า ถ้าไปเอาคนที่ไม่มีประสบการณ์ในธุรกิจนั้นมาแก้ปัญหา
แต่เมื่อ 10 ปีก่อน ตอนที่สายการบิน Japan Airlines ใกล้จะล้มละลาย...
Continue ReadingHow does Japan Airlines revive after bankruptcy? Easy to understand / Invest manly
If our company has more than 690,000 million baht debt and is going bankrupt.
We would be considered crazy if we went to get someone who hasn't experienced in business to solve the problem.
But 10 years ago when Japan Airlines were going bankrupt.
Japanese government invites people who have no experience in aviation business to become CEO.
Why would the Japanese government make that decision?
And who was the one who solved the problem for Japan Airlines that day
Invest. Man will tell you about it
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First let's meet Japan Airlines first
Japan Airlines was founded in 1951 by the Japanese government to build Japan's airplane travel network after WWI ended.
First 3 years after Japan Airlines serving only in Japan.
Before 1954, Japan Airlines began to serve first international flights in Tokyo-Honolulu-San Francisco
Year 1961 Japan Airlines is listed on the Stock Exchange of Japan.
Year 1987 Japan Airlines was privatized from cuddle state enterprises into private companies to provide more agility and profitable capacity.
Japan Airlines has an advantage of many rival airlines as companies have lower loan costs than other airlines. The company not only loans to expand businesses easily, but also to sell tickets below many airlines to attract passengers to service.
But easy access to Japan Airlines funding source is like a double-edged sword because the company started to invest in hotel, resort, or mother, but tour company which is not about the core business of the company.
Japan Airlines employees say that one of the hotels in the USA that the company bought has full customers every year for 30 years. This hotel is not profitable for Japan Airlines..
And it seems that business risk distribution is not working on this airline.
As passengers start to decrease in economic conditions, as the competition in the airline business gradually increases disaster with companies.
Year 2009, the company experienced a financial crisis that it must go into a plan to restore bankruptcy. At that time, this airline has a total debt of 690,000 million baht more than Thai Airways debt. At the moment, it's almost 3 times more until the company's shares are taken Leaving the Japanese Stock Exchange in 2010
Of course, with this burden of debt, there will be no agency except government to help this airline from falling in front of the Japanese government. However, one of the caveats of the Japanese government after putting money is the top executive to run Japan Airlines must be the one who chooses the government. Come by myself only
For the reason the government said at that time, ′′ We must choose the right one first because it is very necessary to fix this airline's problem
Many people predict who is the one who will come to Kriti this time?
Finally, the minister of Japan's Ministry of Transport in those days invited was Mr. Kazuo Inamori, a 78 year old man at that time.
So who is this guy?
Mr. Kazuo Inamori is the founder of Kyocera, currently a multi-business company, electronic parts, office equipment, car parts, electric devices.
Interestingly, this is a profitable company every year since it was founded in 1959, so it's not strange that this guy is recognized as the ′′ father of corporate management
However.
Many questions come back from this decision of Japanese government and few people believe that inexperienced men in airline business can solve the heavy problems of this airline.
Other than that, your people around Kazuo Inamori tell him not to throw away his reputation with Japan Airlines. At this age, he better get some rest in peace.
But for Mr. Kazuo Inamori, he thinks that he needs to help this airline. If he let Japan Airlines fall, it will not only affect the country's economy, but also the appearance, confidence, including nearly 5 thousand companies employees who lose their jobs.
Many people may think that Kazuo Inamori must earn a very high salary to work as CEO to solve this airline crisis.
But actually his condition in getting this job is that he doesn't claim a single salary from Japan Airlines..
Problem he encounters after coming in is that there is a party divided by corporations. There is an internal political system.
Importantly, when he talks to the executives, the shocking number of people don't know how much money each flight department makes for the company.
So the first thing he does is to make everyone in the company know that in 1 years Japan Airlines will go bankrupt if everyone doesn't help each other and have to adjust the idea. Everyone is Japan Airlines. It's the highest service business not just the aviation business.
The one who will impress customers is the company employee.
So he has to make all levels of staff understand what he thinks by talking to the staff himself. Since the ticket salesman, the purse staff is not just the flight attendant.
He also uses Amoeba management system. That's a system that helps determine how much each department makes and how much it costs to work in each department.
When he knows something unnecessary, he cuts all those expenses, including non-profit flight routes.
In addition, the price tags of every product that the company bought so the deployed people will know how much the cost of each company is.
From your hard work, Kazuo Inamori made this airline from a loss of 19,000 million Baht in 2009 Japan Airlines began to profit in 2012 and made the company's shares back to be registered on the Japanese Stock Exchange again this year.
So what is the latest Japan Airlines performance?
Year 2017 Income 415,000 million baht. Profit 40,600 million baht.
Year 2018 Income 446,100 million baht. Profit 45,200 million baht.
Even this year, Japan Airlines should also be affected by the COVID-19 plague.
But going through obstacles and restoration of the organization in the past should help the company go through this crisis again.
And today Japan Airlines has a profit of accumulated over 247,000 million baht.
Currently, the value of Japan Airlines is equal to 191,000 million Baht. Our Thai Airways is about 19 times more..
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References
-https://en.wikipedia.org/wiki/Japan_Airlines
-https://www.jal.com/en/investor/highlight/
-https://finance.yahoo.com/quote/JAPSY?p=JAPSY
-https://finance.yahoo.com/quote/ALNPY/
-https://global.kyocera.com/inamori/profile/episode/episode10.html
-https://en.wikipedia.org/wiki/Kyocera
-https://www.jal.com/en/investor/library/information/
-https://www.youtube.com/watch?v=zpmX3BrLn-E
-https://en.wikipedia.org/wiki/JW_Marriott_Essex_HouseTranslated
how to solve time management problems 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最讚貼文
【演講】2019/11/19 (二) @工四816 (智易空間),邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan) 演講「Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management」
IBM中心特別邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan)前來為我們演講,歡迎有興趣的老師與同學報名參加!
演講標題:Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management
演 講 者:Prof. Geoffrey Li與Prof. Li-Chun Wang
時 間:2019/11/19(二) 9:00 ~ 12:00
地 點:交大工程四館816 (智易空間)
活動報名網址:https://forms.gle/vUr3kYBDB2vvKtca6
報名方式:
費用:(費用含講義、午餐及茶水)
1.費用:(1) 校內學生免費,校外學生300元/人 (2) 業界人士與老師1500/人
2.人數:60人,依完成報名順序錄取(完成繳費者始完成報名程序)
※報名及繳費方式:
1.報名:請至報名網址填寫資料
2.繳費:
(1)親至交大工程四館813室完成繳費(前來繳費者請先致電)
(2)匯款資訊如下:
戶名: 曾紫玲(國泰世華銀行 竹科分行013)
帳號: 075506235774 (國泰世華銀行 竹科分行013)
匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
※將於上課日發放課程繳費領據
聯絡方式:曾紫玲 Tel:03-5712121分機54599 Email:tzuling@nctu.edu.tw
Abstract:
1.Deep Learning based Wireless Resource Allocation
【Abstract】
Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.
2.Deep Learning in Physical Layer Communications
【Abstract】
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.
3.Machine Learning Interference Management
【Abstract】
In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Bio:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
how to solve time management problems 在 Solve your Time Management Problems - YouTube 的推薦與評價
To learn more, go to http://learning.ly/products/ time - management - solve - time - management -problemsThis course is one of two sister courses, ... ... <看更多>