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Jenny Darrow

Open University research explodes myth of 'digital native' - 0 views

  • So, the University’s Institute of Educational Technology set about the task by putting together an age-stratified, gender-balanced cohort of 7,000 students aged between 21 and 100 . There were 2,000 between ages 60 and 69, 1,000 aged 70 and over, and, for comparison, four groups, 1,000 in each, from students respectively in their twenties, thirties, forties and fifties. All were surveyed by detailed and carefully constructed questionnaires.
  • Research, in fact, is called for, and who better to undertake it than the Open University? After all, you can enrol as a student at the Open University at any adult age, with no upper limit. 
    • Jenny Darrow
       
      Survey was conducted by students enrolled in an online program in which the sample was already heavily immersed with tech regardless of native-immigrant tag. 
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    A new research project by the Open University explores the much-debated concept of "the digital native". The university does this by making full use of the rich resource which is its own highly diverse student body. It concludes that while there are clear differences between older people and younger in their use of technology, there's no evidence of a clear break between two separate populations.
Matthew Ragan

Does the Digital Classroom Enfeeble the Mind? - NYTimes.com - 0 views

  • We see the embedded philosophy bloom when students assemble papers as mash-ups from online snippets instead of thinking and composing on a blank piece of screen. What is wrong with this is not that students are any lazier now or learning less. (It is probably even true, I admit reluctantly, that in the presence of the ambient Internet, maybe it is not so important anymore to hold an archive of certain kinds of academic trivia in your head.)
  • Roughly speaking, there are two ways to use computers in the classroom. You can have them measure and represent the students and the teachers, or you can have the class build a virtual spaceship. Right now the first way is ubiquitous, but the virtual spaceships are being built only by tenacious oddballs in unusual circumstances. More spaceships, please.
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    Jaron Lanier's article in the NY times. --- Adding to an already rich life, my father decided in middle age to become an elementary-school teacher in a working-class neighborhood in New Mexico. To this day, people who run grocery stores and work on construction sites, and who are now in late middle age themselves, come out when I'm visiting to tell me how Mr. Lanier changed their lives. Go up to any adult with a good life, no matter what his or her station, and ask if a teacher made a difference, and you'll always see a face light up. The human element, a magical connection, is at the heart of successful education, and you can't bottle it.
Judy Brophy

Student-centred learning: What does it mean for students and lecturers? - 0 views

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    chapter from a book- excellent summary with suggestion on how to achieve thru curriculum and class design
Jenny Darrow

As access to the World Wide Web increases, so does the "conversation." - 0 views

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    Collaboration, literacy, authorship and writing programs. Using social networking tools to engage the wisdom of teachers.
Jenny Darrow

Career Advice: Does Wikipedia Suck? - Inside Higher Ed - 1 views

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    Finally,  decent article from the Chronicle about how to address wikipedia. Still slanted but there is a nod to being realistic.
Judy Brophy

CoTweet™ - How business does Twitter - 0 views

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    CoTweet is a platform that helps companies reach and engage customers using Twitter
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
Matthew Ragan

Know Your Copy Rights :: Part II: Uses in the Online Classroom / Course Management System - 0 views

  • 4. The work I want to use in my online class is both copyrighted and free of any license. Are there any specific provisions of the copyright law that apply to online classroom use? Yes, Section 110(2) of the copyright law (otherwise known as the “TEACH Act”) specifically applies to displaying images, playing motion pictures or sound recordings, or performing works in your online class. Since this section applies to any “transmissions” of performances or displays, cable television classes would also be included here. There are a number of institutional and faculty member obligations that must be fulfilled in order to use the TEACH Act. Consult your library or university counsel on whether and how the TEACH Act is implemented locally. If your university cannot or does not wish to comply with TEACH Act obligations, consider whether what you have in mind for your online course is a fair use. (See question #5, below.) If you wish to explore the TEACH Act option, read on for a description of a faculty member’s obligations. Generally, to perform or display a work in your online class the work must be used under your supervision as part of the class session as part of systematic mediated instructional activities (see 4j, below) directly and materially related to the teaching content The work must be lawfully made and not excerpted from a product that was specifically designed and marketed for use in an online course. Furthermore, there are three additional requirements: You must password protect or otherwise restrict access to your online class Web site to enrolled students, and You must reasonably prevent your students from being able to save or print the work, i.e., control the “downstream” uses, and You must include a general copyright warning on your class Web site.
  • Also, providing a URL or linking to a work is always an option. The copyright law never precludes you from linking to a copyrighted work on a legitimate Web site.
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    You wish to play all or part of a movie or piece of music, show a picture or image, or post articles for downloading from your online course Web site. How can you do this?
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