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Judy Brophy

Is deliberately screwing up the best way to learn? - Barking up the wrong tree - 1 views

www.bakadesuyo.com/-screwing-up-the-best-way-to-l

mistakes errors learning

shared by Judy Brophy on 03 Apr 12 - No Cached
  • Judy Brophy on 03 Apr 12
     
    Being guided into mistakes during training led to greater confidence and overall better learning than being taught to prevent errors.
Jenny Darrow

Making the transition from Delicious to Evernote « Evernote Blogcast - 1 views

blog.evernote.com/...ion-from-delicious-to-evernote

delicious diigo

shared by Jenny Darrow on 17 Dec 10 - No Cached
  • Jenny Darrow on 17 Dec 10
     
    Evernote is actually a great Delicious alternative. Unlike Delicious, Evernote allows you to clip your favorite webpage-text, images and links-so that you can view them at your leisure, online or offline. No more worrying about 404 errors or changing pages. True, we don't have the social features of Delicious, but if you want to save your favorite pages forever, Evernote is perfect.
Judy Brophy

Examples of UDI in Online and Blended Courses | [Universal Design for Instruction in Po... - 0 views

www.udi.uconn.edu/index.php

udi online course_design accessibility

shared by Judy Brophy on 14 Apr 11 - No Cached
  • Judy Brophy on 14 Apr 11
     
    The following table provides a listing of the nine Principles of Universal Design for Instruction©, as well as a definition and example for each principle.  Principles like: Equitable Use, flexibility in use,tollerance for error, low physical effort
Judy Brophy

Annotating Student Submissions; Work-Around with Multiple Submissions | SCC Canvas - 0 views

showcase.scottsdalecc.edu/...ound-with-multiple-submissions

canvas crocdoc error multiple submissions

shared by Judy Brophy on 18 Nov 13 - No Cached
  • Judy Brophy on 18 Nov 13
     
    Multiple Submission Quirk - and Work-Around We've learned recently that there is a quirk with Crocodoc when there are multiple submissions. When a student submits more than one assignment attempt, you can choose which to grade from SpeedGrader. If you grade an earlier attempt and provide feedback via Crocodoc on the assignment, the student can only view the latest submission, thereby missing any feedback you provide. There is no way for the student to choose which assignment submission to view. As a workaround, you can annotate on Crocodoc and then download the annotated document to attach to your comment. A PDF version of the assignment file (with annotations) can be downloaded by both student and instructor.
Jenny Darrow

Blog U.: The Digital Native Fundamental Attribution Error - Technology and Learning - I... - 0 views

www.insidehighered.com/..._fundamental_attribution_error

shirky learning 21st-century students

shared by Jenny Darrow on 17 Jun 10 - Cached
  • Jenny Darrow on 17 Jun 10
     
    Where Levine gets it wrong is to assume that this shift is being driven by the demand of digital natives for new methods of teaching and learning. Levine writes that, "Today's traditional undergraduates, aged 18 to 25, are digital natives. They grew up in a world of computers, Internet, cell phones, MP3 players, and social networking." I recommend that Arthur Levine, and all of you, download (buy, whatever) a copy of Clay Shirky's new book Cognitive Surplus: Creativity and Generosity in a Connected Age. Shirky talks about the fundamental_attribution_error, the tendency to explain behaviors as the result of character as opposed to the opportunity structure.
Matthew Ragan

Function list : Functions - Google Docs Help - 1 views

docs.google.com/...answer.py

google functions formula spreadsheets data

shared by Matthew Ragan on 15 Mar 11 - No Cached
  • 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.
  • Matthew Ragan on 15 Mar 11
     
    Google Spreadsheets Formula Help
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