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Matthew Ragan

Function list : Functions - Google Docs Help - 1 views

  • Frequency distribution
  • FREQUENCY(data, classes)
  • FILTER(sourceArray, arrayCondition_1, arrayCondition_2, ..., arrayCondition_30)
  • ...21 more annotations...
  • SORT(data, keyColumn_1, ascOrDesc_1, keyColumn_2, ascOrDesc_2, ..., keyColumn_30, ascOrDesc_30)
  • Cross-workbook referenceImportRange(spreadsheet_key, [sheet!]range)
  • Elements based on criteriaCOUNTIF(range, criteria)
  • RANDBETWEEN (bottom, top)Returns an integer random number between bottom and top (inclusive).
  • ROUND(number, count)Rounds the given number to a certain number of decimal places according to valid mathematical criteria. Count (optional) is the number of the places to which the value is to be rounded. If the count parameter is negative, only the whole number portion is rounded. It is rounded to the place indicated by the count.
  • RAND()Returns a random number between 0 and 1.
  • AVERAGE(number_1, number_2, ... number_30)Returns the average of the arguments. Number_1, number_2, ... number_30 are numerical values or ranges. Text is ignored.
  • CONFIDENCE(alpha, STDEV, size)Returns the (1-alpha) confidence interval for a normal distribution. Alpha is the level of the confidence interval. STDEV is the standard deviation for the total population. Size is the size of the total population.
  • CORREL(data_1, data_2)Returns the correlation coefficient between two data sets. Data_1 is the first data set. Data_2 is the second data set.
  • COUNT(value_1, value_2, ... value_30)Counts how many numbers are in the list of arguments. Text entries are ignored. Value_1, value_2, ... value_30 are values or ranges which are to be counted.
  • COUNTA(value_1, value_2, ... value_30)Counts how many values are in the list of arguments. Text entries are also counted, even when they contain an empty string of length 0. If an argument is an array or reference, empty cells within the array or reference are ignored. value_1, value_2, ... value_30 are up to 30 arguments representing the values to be counted.
  • MAX(number_1, number_2, ... number_30)Returns the maximum value in a list of arguments. Number_1, number_2, ... number_30 are numerical values or ranges.
  • MEDIAN(number_1, number_2, ... number_30)Returns the median of a set of numbers. Number_1, number_2, ... number_30 are values or ranges, which represent a sample. Each number can also be replaced by a reference.
  • MIN(number_1, number_2, ... number_30)Returns the minimum value in a list of arguments. Number_1, number_2, ... number_30 are numerical values or ranges.
  • MODE(number_1, number_2, ... number_30)Returns the most common value in a data set. Number_1, number_2, ... number_30 are numerical values or ranges. If several values have the same frequency, it returns the smallest value. An error occurs when a value does not appear twice.
  • PERCENTILE(data, alpha)Returns the alpha-percentile of data values in an array. Data is the array of data. Alpha is the percentage of the scale between 0 and 1.
  • QUARTILE(data, type)Returns the quartile of a data set. Data is the array of data in the sample. Type is the type of quartile. (0 = Min, 1 = 25%, 2 = 50% (Median), 3 = 75% and 4 = Max.)
  • RANK(value, data, type)Returns the rank of the given Value in a sample. Data is the array or range of data in the sample. Type (optional) is the sequence order, either ascending (0) or descending (1).
  • STDEV(number_1, number_2, ... number_30)Estimates the standard deviation based on a sample. Number_1, number_2, ... number_30 are numerical values or ranges representing a sample based on an entire population.
  • STDEVP(number_1, number_2, ... number_30) Calculates the standard deviation based on the entire population. Number_1, number_2, ... number_30 are numerical values or ranges representing a sample based on an entire population.
  • Combines text stringsCONCATENATE(text_1, text_2, ..., text_30)Combines several text strings into one string. Text_1, text_2, ... text_30 are text passages that are to be combined into one string.
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    Google Spreadsheets Formula Help
Jenny Darrow

Learning with 'e's: Search results for identity - 0 views

  • The Social Web is transforming the way students interact with others, and is challenging traditional pedagogies, values and practices. An analysis of students’ uses of social networking tools (e.g. Facebook, Myspace) and video/photo sharing sites (e.g. YouTube, Flickr) reveals the emergence of collective digital literacies. These include filtering content, new textual and visual literacies, managing multiple digital identities, representing self in cyberspace and engaging in new modes of interaction.
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    The Social Web is transforming the way students interact with others, and is challenging traditional pedagogies, values and practices. An analysis of students' uses of social networking tools (e.g. Facebook, Myspace) and video/photo sharing sites (e.g. YouTube, Flickr) reveals the emergence of collective digital literacies. These include filtering content, new textual and visual literacies, managing multiple digital identities, representing self in cyberspace and engaging in new modes of interaction.
Matthew Ragan

Decoding the Value of Computer Science - 0 views

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    In The Social Network, a computer-programming prodigy goes to Harvard and creates a technology company in his sophomore dorm. Six year later, the company is worth billions and touches one out of every 14 people on earth.
Judy Brophy

Teaching Without Technology? | MindShift - 0 views

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    One of the best, most concise explanations of why the antipathy to technology in education.~JB The conflict between computers and schools is really a conflict between educational paradigms. The traditional and dominant paradigm is rooted in the book and the pedagogy is one of transmission. Teachers, who have presumably read more books than their students and listened to more scholarly lectures, transmit what they've learned to their students in a similar fashion. The students who do best within this system are those who can capture the transmission - as unfiltered as possible - and mirror back to the teacher what they have delineated. Within this model, digital technology can provide improvements, but they are cosmetic. Teachers can enhance their lectures with presentation software, videos and other forms of multimedia, but the methods stay the same. For teachers who don't understand how these new tools can enhance what they are teaching, then technology can be a distraction. Within this system of learning, (Inquiry based and student centered) there is real value in having the widest range of technological tools for not only consuming information in all its multimodal forms, but for creatively demonstrating what one has learned.
Judy Brophy

What Makes an Online Instructional Video Compelling? (EDUCAUSE Review) | EDUCAUSE.edu - 0 views

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    The developing themes have influenced the design and strategy of media production at SCE, including: Strategizing videos to tie directly to course assignments and/or assessment Advising faculty members to use conversational language in production; also encouraging them to use humor and draw on past experiences Adding audio/visual elements to the video that supplement the content; the videos should not convey information that students could just read as text Producing high-quality videos (despite mixed findings related to production values, elements such as professional sound, lighting, and graphics are considered important when creating high-quality media) Keeping the four-minute view time as a design consideration, especially when producing longer-form content lectures that can be broken up into shorter segments
Jenny Darrow

Using Twitter in the Primary Classroom | Changing Horizons - 0 views

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    My article about the use of Twitter in Orange Class (@ClassroomTweets) was recently published in English 4-11. I have changed some of the ways in which we use Twitter even within the short time between writing and publication of the article. I plan on writing another more up-to-date reflection on how we have been using Twitter soon but in the meantime hopefully this will provide you with the context in which our work is based. As this is the first article I have ever had published I would value any comments or feedback as to what you think about it.
Judy Brophy

What different sorting algorithms sound like - 1 views

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    This particular audibilization is just one of many ways to generate sound from running sorting algorithms. Here on every comparison of two numbers (elements) I play (mixing) sin waves with frequencies modulated by values of these numbers. There are quite a few parameters that may drastically change resulting sound - I just chose parameteres that imo felt best.
Jenny Darrow

Professional Online Publishing: New Media Trends, Communication Skills, Online Marketin... - 0 views

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    Automated aggregation is not the solution. Human-powered, manual news curation is. Human news curators can add more value and understanding to the news, by aggregating, filtering and curating them, than it is available in individual news stories taken by themselves.
Jenny Darrow

The Paranoid's Guide to Facebook - PCWorld - 0 views

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    Those concerns about privacy on Facebook have caught the attention of the U.S. Government: Congress recently sent Facebook an open letter asking the company to explain the disclosure of user identities to third parties (as originally reported by the Wall Street Journal), and how the company plans to address this issue. James Clarke, senior consumer technology analyst at Mintel International, makes very clear what's at stake: "It's in Facebook's own interests to provide a safe environment for users to enjoy; the value of their business depends on it."
Jenny Darrow

YouTube-Diigo V3: Highlight & Share the Web! Social Bookmarking 2.0 - 1 views

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    4 minute video that can be used to show  the value of Diigo. Great for pre-workshop information
Judy Brophy

Instructional Strategies Online - Think, Pair, Share - 0 views

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    Think-Pair-Share is a strategy designed to provide students with "food for thought" on a given topics enabling them to formulate individual ideas and share these ideas with another student. It is a learning strategy developed by Lyman and associates to encourage student classroom participation. What is Think, Pair, Share? Think-Pair-Share is a strategy designed to provide students with "food for thought" on a given topics enabling them to formulate individual ideas and share these ideas with another student. It is a learning strategy developed by Lyman and associates to encourage student classroom participation. Rather than using a basic recitation method in which a teacher poses a question and one student offers a response, Think-Pair-Share encourages a high degree of pupil response and can help keep students on task. What is its purpose? * Providing "think time" increases quality of student responses. * Students become actively involved in thinking about the concepts presented in the lesson. * Research tells us that we need time to mentally "chew over" new ideas in order to store them in memory. When teachers present too much information all at once, much of that information is lost. If we give students time to "think-pair-share" throughout the lesson, more of the critical information is retained. * When students talk over new ideas, they are forced to make sense of those new ideas in terms of their prior knowledge. Their misunderstandings about the topic are often revealed (and resolved) during this discussion stage. * Students are more willing to participate since they don't feel the peer pressure involved in responding in front of the whole class. * Think-Pair-Share is easy to use on the spur of the moment. * Easy to use in large classes. How can I do it? * With students seated in teams of 4, have them number them from 1 to 4. * Announce a discussion topic or problem to solve. (Example: Which room in our school is larg
Jenny Darrow

The Power Of Being Influenced - Science News - 1 views

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    A key reason some ideas are so successful, conventional wisdom has held, is that a few highly influential people espouse them. In his book The Tipping Point, Malcolm Gladwell wrote that what he calls "social epidemics" are "driven by the efforts of a handful of exceptional people." Those exceptional people tend to be experts on a subject who love to talk. Such people can convince dozens of others of their opinions. An excellent sales strategy, then, would be to find those few critical people, persuade them of the value of your product, and leave it to them to convince others. It's a compelling idea, but does it really work? Social network theorists Duncan J. Watts of Columbia University and Peter Sheridan Dodds of the University of Vermont in Burlington decided to put the notion to a test. What they found is a disappointment for "viral marketers" who specialize in selling products by influencing influential people.
Judy Brophy

BBC News - Finding truth and beauty in data - 0 views

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    Even better, the data visualisation tools that can manipulate and present that information are getting easier to use and available to anyone. And it is in the social and political aspects of data visualisation that its real value emerges. "If you make these tools and data available to a broader range of people you are just going to get better ideas," said Dr Austwick.
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