This week, we briefly explored the policy and strategy implications of deploying learning analytics. After reviewing this video, reflect on the challenges that you see in your organization in policy setting. Are you doing analytics at a well supported strategic level? If not, what are the barriers? What has to happen before you move forward with a focus strategy? If your institution is already well on its way to designing a learning analytics strategy, please describe the process and why… Read more »
Week 2 Assignments Assignments
Problems to be completed for Week 2 competencies
Your data and your questions?
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In the “Data/Analytics Lifecycle” presentation this week, the second slide describes different data sources and analytics questions that institutions might ask. Evaluate the flow and process of your university, school, or organization. What types of data are you collecting? What are the questions that you are asking? Create a visual of this – use a simple tool like powerpoint or CMAP or Visual Understanding Environment (VUE) and share in edx, your blog, or prosolo.
Suggest an assignment for your peers
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Create an assignment that you would like your peers to complete. Provide guidance on the data set to be used and the challenge or problem to be addressed. Post as a comment to this assignment (or link to your blog). We’ll revise, update, and add to the assignment bank.
Beyond Tableau
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If you’re comfortable with the basic Tableau functionality and what to challenge yourself, explore integration options with Tableau and R. Create a tutorial (using a tool like Jing or a text/image tutorial) about the experience, what worked, how you think these two tools could be used together, who benefits (i.e. a challenge with many technical tools such as R is that end users are not comfortable working with them. As we’ve explored in this week, Tableau is relatively easy to… Read more »
Finding Data
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As the title says, find data sources that can you used in Tableau (you will need to watch the Tableau videos for this week in order to become familiar with this). Look for educational data on government, university, or NGO sites. Create a blog post (or post to edX forum) on these data sources.
Tell a story with data
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Using Tableau’s ‘story points’ take an existing data set and add details about what you think are key data points and what those points mean. This assignment focuses on moving past making nice images and diagrams and focuses on drawing insight (sensemaking) with analysis.
Create an interactive dashboard
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Using data from previous assignments in the assignment bank, create an interactive dashboard in Tableau, enabling an end user to explore different data and representations. Publish your dashboard to your blog on Tableau Public (see here for FAQ: http://www.tableausoftware.com/public/faq)
Visualization: Basic 1
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Find a small educational data set (consider sites like IPEDS, OECD, Data.gov, local data from your university or school, or any other source). Do low level “cleaning of the data” if needed (see here: http://kb.tableausoftware.com/articles/knowledgebase/preparing-excel-files-analysis). Load data into Tableau.
Visualization: Basic 2
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Load educational data into Tableau and create a basic visualization. Share the visualization on your blog or in prosolo and describe the visualization, the data source, and what the data reveals. Reflect as well on the experience of creating the visualization – did the time spent generate insight? What kinds of additional education data do you have access to in your school, university, or public sites (such as IPEDS).
Data Cycle
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After reviewing the data cycle presented in week 2, update the diagram (or create an entirely new one) that reflects the data process in your organization.