Types of Assignments: Revision

Assignments
There are a few main kinds of assignments in our course together.  Below you will find a description of each:

Critical Responses

After reading the assigned readings, your challenge is to offer the class an insight or interpretation, which might take the form of an original question or extend the readings into other areas or settings.  Rather than writing your response, I ask that you create 3 slides (using Powerpoint, Keynote, Google Slides), record your oral presentation of your response in about 3 minutes (using Knovio, Screencast-o-matic, Jing), and post the video as a blog post on Pace Commons. Use the tag: criticalresponses. After your classmates have posted their responses, you are expected to reply to each of their posts in approximately 50 words.  

Programming Reflection Journal Entries

After initial exposure to core concepts and readings, you will be delving into methods for collecting, analyzing, and visualizing quantitative data generated from sets of texts.  You'll explore an array of different tools to assist you, the most challenging of which is called R.  R is a statistical analysis program used around the world.  It is a language and a tool.  Once you start working with R, I ask that you keep track of your learning--frustrations, victories, etc.--in a reflective journal. You will create these journals as a "Page" on Pace Commons. Use the tag: programmingjournals

Each journal entry can range, of course, but should meet the following minimum requirements:
            at least 5 entries
            entries should be between 750-1500 words in length
            written in the first person ("I")
            offer specific examples of code or screenshots to illustrate your experience
            refer to at least 2 readings
NOTE: These are not expected to be "polished" but rather a chronicle of your programming   process.  Minor errors are fine.

Final Project

For your final project, you will create your own inquiry question related to quantitative text analysis, data visualization, and education.  You will then have time to explore your question and create a data visualization as part of a final portfolio.  You will be expected to check in individually with me throughout your independent projects.  The main components of the final project are:
        Proposal (which must be approved by Dr. Ardito
        Realtime Check-ins (see Syllabus for schedule)
        Final Project Portfolio page, which includes:
            Final Visualization
            Reflection on Process (based on your programming reflections)
            Possibilities for Teaching
            Screencast welcome and overview to visitors (1-2 minutes)
        
All of this work will be posted to Pace Commons. Use the tag: finalproject

Quantitative Literature Analysis Spring 2018

Quantitative Literature Analysis Spring 2018

Here is the online home for our Quant Lit Analysis Class for Spring 2018.

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