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Jenny Darrow

http://www.uis.edu/liberalstudies/students/documents/sevenprinciples.pdf - 0 views

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    There are several widely-accepted rubrics (Quality Matters, the ION one in Illinois, etc.), but in my opinion, they focus on course design, not on teaching the course. When I was at Black Hawk College, we created a Best Practices for Exemplary Online Teaching set of standards based on the Chickering and Gamson's "7 Principles of Good Practice for Undergraduate Education" meta-analysis. Individual best practices for online teaching were pulled from the literature and listed as possibilities under each of the 7 principles, and an 8th was added with some of the course design elements not already mentioned in the first 7. In other words, we created a local document that could assist faculty in doing self-assessment, peer evaluations of each other's courses, and potentially institutional review of online courses. However, our instrument was not used for institutional assessment because it was not approved as part of the faculty [union] contract. It is important for a document like this to be shared with the faculty ahead of time so that they know how their courses are going to be evaluated. I also think it is helpful to have several people evaluate various aspects of online courses, such as someone who is an expert in online education who can evaluate the learning experiences and course design elements of the course, someone from the faculty member's department who can evaluate the quality and accuracy of the course content, as well as the administrator whose job it is to evaluate teaching. If the institution uses a type of rubric or assessment document when evaluating face-to-face teaching, it needs to be vetted by online experts to determine if it emphasizes appropriate, comparable variables in the online environment. For example, if activities to promote student engagement is on that form...what does that look like online? Not all administrators or faculty who have not taught online would know what to look for as indicators of student engagement.
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
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
Judy Brophy

The Elements: A Visual Exploration for iPad on the iTunes App Store - 0 views

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    If you think you've seen the periodic table, think again
Judy Brophy

Flipping Bloom's Taxonomy | Powerful Learning Practice - 1 views

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    What if we started with creativity rather than principles? My students start with the standard elements of an advertisement (product photo, copy, logo etc.)  and create a mockup.  Then students evaluate their mock-up by comparing their ads to a few professional examples and  discuss what they did right and wrong in comparison to what they've seen.
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.
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.
Jenny Darrow

Blended Learning: A Report on the ELI Focus Session | EDUCAUSE - 0 views

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    On September 15 and 16, 2010, the ELI teaching and learning community gathered for an online focus session on blended learning. This white paper is a synthesis of the key ideas, themes, and concepts that emerged from those sessions. This white paper also includes links to supporting focus session materials, recordings, and resources. It represents a harvesting of the key elements that we, as a teaching and learning community, need to keep in mind as we work to refine the blended instructional delivery model in higher education.
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
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