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Nigel Coutts

A curriculum built on the fundamental questions of our disciplines - The Learner's Way - 0 views

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    As we make plans for how we will engage our students in their learning the decisions we make become fundamental to how they will grow to understand the purposes of learning. How our learners approach the curriculum and the disciplines is fundamental to the outcomes we may achieve for them. One path will set them up to view learning as the acquisition of information the other to see it as a process of asking and exploring questions of significance through the many unique lenses.
seofshahalam

Home Tuition Shah Alam: Examination Preparation Tips. - hometuitionshahalam's soup - 0 views

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    Learning to learn, do not be afraid of the exam. In fact, success in examinations depends on the craft and the way students learn. Identify the correct way of learning. You need to choose the best and suitable for learning or studying. Focus on all subjects. Discipline yourself and resist the negative requirement.
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    Learning to learn, do not be afraid of the exam. In fact, success in examinations depends on the craft and the way students learn. Identify the correct way of learning. You need to choose the best and suitable for learning or studying. Focus on all subjects. Discipline yourself and resist the negative requirement.
Rhondda Powling

6 Great Videos on Teaching Critical Thinking ~ Educational Technology and Mobile Learning - 3 views

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    "Critical thinking is a skill that we can teach to our students through exercise and practice. It is particularly a skill that contains a plethora of other skills inside it. Critical thinking in its basic definition refers"  to a diverse range of intellectual skills and activities concerned with evaluating information as well as evaluating our thought in a disciplined way ". All of our students think in a way or another but the question  is , do they really think critically ? are they able to evaluate the information they come across ? are they capable of going beyond the surface thinking layer ? Can they make connections between what they learn and the outer world? Can they question the status quo of their knowledge ?"
Rhondda Powling

Discover the 2 keys to implementing a school social media policy that works | Teachers ... - 0 views

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    "...the days of your school social media policy being "we don't have one" are over.  Equally the days of just adopting the districts or states policy in its entirety are also limited (you don't do that for your discipline policy, why would you do that with social media?)  Each school should have their own policy specifically written."
Rhondda Powling

Big History Project - 6 views

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    The Big history project tells the story of the universe. It starts at the very beginning and reaches to the complex societies of today. It illustrates the connections between what are often seen as diverse subjects and weaves together insights and evidence from many disciplines into one single, understandable story. Insights come from astronomy, physics, chemistry, biology, anthropology, history, economics, and more.
Walco Solutions

plc training programs - 0 views

shared by Walco Solutions on 15 Jun 15 - No Cached
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    A joint venture of Walrus Marine Engineering Co.Pvt.Ltd.(An ISO 9001-2008 Certified Company) and Solutions Institute of Engineering and Technology (a 10+ year old training centre in the field of engineering). The Walco Solutions Automation training division was conceived with the vision to train professionals to meet the challenges in the field of automation with the aid of apt training modules specifically programmed to deliver a broad perspective of the Engineering disciplines and tap the opportunities in the field. http://walcosolutions.com / +91 8129981111
Tony Searl

About T&C | Technology and Culture - 0 views

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    About T&C Technology and Culture, founded in 1959, is the preeminent journal for the history of technology. International and interdisciplinary, T&C publishes articles and research notes by scholars from a wide range of intellectual disciplines: history, sociology, engineering, law, architecture, anthropology, economics, philosophy, literature, to name a few.
Roland Gesthuizen

ICT and the Australian Curriculum | Australian Council for Computers in Education - 2 views

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    This paper discusses four key concerns about this current situation and proposes and justifies a solution whereby ICT would be a learning area in its own right, either within the framework of the Technologies or as a new learning area. Structurally this learning area would document the student learning expectations and standards for ICT as a GC as well as a discipline.
Roland Gesthuizen

CEGSA (The Computers in Education Group of South Australia | LinkedIn - 0 views

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    " The Computers in Education Group of South Australia is a professional association of educators that promotes and supports teaching and learning with Information and Communication Technologies and the study of Information Technology as a discipline. "
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    LinedIN home page for CEGSA, useful for South Australian teachers.
John Pearce

Meridian: Getting A Grip On Project-Based Learning - 3 views

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    "Project-based learning is centered on the learner and affords learners the opportunity for in-depth investigations of worthy topics. The learners are more autonomous as they construct personally-meaningful artifacts that are representations of their learning. This article examines the theoretical foundations of project-based learning, particularly constructivism and constructionism, and notes the similarities and differences among implementations, including project-based science (Blulmenfeld et al., 1991), disciplined inquiry (Levstik & Barton, 2001) and WebQuests (Dodge, 1995). In addition, an anatomy of a model case will be considered using a WebQuest example developed by the author, describing seven characteristics common among the various implementations of project-based learning. Finally, practical advice and recommendations for project-based learning are discussed, including beginning slowly with the implementation, teaching students to negotiate cooperative/collaborative groups and establishing multiple forms of performance assessments."
Tony Searl

National curriculum - 6 views

    • Tony Searl
       
      nothing new in this but worth a repeat on a different stage SMH
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    Rather than taking the time to get it right, we're using an outdated view of what kids need at school - dividing all the knowledge up into separate academic subjects and disciplines and then overloading those with content
Nigel Coutts

Mathematical thinking presents teachers and students with new challenges - The Learner'... - 0 views

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    The shift away from teaching for the rote memorisation of prescribed methods requires teachers to rethink their approach to the discipline. With this new pedagogy comes a need to understand the processes of mathematical thinking in ways not previously required. When we require our students to be able to reason and problem-solve through unique challenges we also require our teachers to have an understanding of the mathematical moves that their learners are likely to call upon.
Nigel Coutts

Delivering on the promise of STEAM - The Learner's Way - 0 views

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    The challenge is to ensure that students within a STEAM programme are better prepared than they might be if they studied the disciplines in isolation and that in seeking to integrate diverse fields we do not weaken the efficacy of one for the inclusion of another.
Nigel Coutts

Bringing concepts to early learning in Mathematics - The Learner's Way - 0 views

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    Our beliefs about mathematics play a significant role in how we approach learning within the discipline. These beliefs are established by the nature of our early engagement with mathematics and are difficult to change once established. For many people mathematics is viewed as a subject that is not for them. Indeed the situation is so bad that many people will say that they are not a maths person and approach mathematics with fear and anxiety. 
Nigel Robertson

Confessions of an Aca/Fan: Why Universities Shouldn't Create "Something like YouTube" (... - 0 views

  • Many universities are trying to figure out how they can build "something like YouTube" to support their educational activities. Most of them end up building things that are very little like YouTube in that they tend to lock down the content and make it hard to move into other spaces and mobilize in other conversations. In a sense, these university based sites are about disciplining the flow of knowledge rather than facilitating it.
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    Discussing how universities want to control knowledge rather than letting it flow freely.
Tony Searl

What is data science? - O'Reilly Radar - 1 views

  • how to use data effectively -- not just their own data, but all the data that's available and relevant
  • Increased storage capacity demands increased sophistication in the analysis and use of that data
  • Once you've parsed the data, you can start thinking about the quality of your data
  • ...20 more annotations...
  • It's usually impossible to get "better" data, and you have no alternative but to work with the data at hand
  • The most meaningful definition I've heard: "big data" is when the size of the data itself becomes part of the problem
  • Precision has an allure, but in most data-driven applications outside of finance, that allure is deceptive. Most data analysis is comparative:
  • Storing data is only part of building a data platform, though. Data is only useful if you can do something with it, and enormous datasets present computational problems
  • Hadoop has been instrumental in enabling "agile" data analysis. In software development, "agile practices" are associated with faster product cycles, closer interaction between developers and consumers, and testing
  • Faster computations make it easier to test different assumptions, different datasets, and different algorithms
  • It's easer to consult with clients to figure out whether you're asking the right questions, and it's possible to pursue intriguing possibilities that you'd otherwise have to drop for lack of time.
  • Machine learning is another essential tool for the data scientist.
  • According to Mike Driscoll (@dataspora), statistics is the "grammar of data science." It is crucial to "making data speak coherently."
  • Data science isn't just about the existence of data, or making guesses about what that data might mean; it's about testing hypotheses and making sure that the conclusions you're drawing from the data are valid.
  • The problem with most data analysis algorithms is that they generate a set of numbers. To understand what the numbers mean, the stories they are really telling, you need to generate a graph
  • Visualization is crucial to each stage of the data scientist
  • Visualization is also frequently the first step in analysis
  • Casey Reas' and Ben Fry's Processing is the state of the art, particularly if you need to create animations that show how things change over time
  • Making data tell its story isn't just a matter of presenting results; it involves making connections, then going back to other data sources to verify them.
  • Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. They have to think about the big picture, the big problem. When you've just spent a lot of grant money generating data, you can't just throw the data out if it isn't as clean as you'd like. You have to make it tell its story. You need some creativity for when the story the data is telling isn't what you think it's telling.
  • It was an agile, flexible process that built toward its goal incrementally, rather than tackling a huge mountain of data all at once.
  • we're entering the era of products that are built on data.
  • We don't yet know what those products are, but we do know that the winners will be the people, and the companies, that find those products.
  • They can think outside the box to come up with new ways to view the problem, or to work with very broadly defined problems: "here's a lot of data, what can you make from it?"
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