The educator uses a variety of Socratic questioning techniques to elicit responses that are then text-mined to identify leaders in a virtual community.
The educator utilizes text mining to identify trends in responses to identify leaders of the virtual community. Trends can be aggregated through a variety of qualitative methods, including word frequency count, opinion by geographic area, content area, or other stakeholder factors, to determine areas of expertise or interest.
Large-scale data analytics uses back-end statistics and analysis to inform consumer trends, but opinion or text mining focuses on observations of written or video archives and can inform future directions for work. Analysis can be presented in a pivot chart, running observation list, Wordle, or spreadsheet.
Developing Socratic questioning is a critical piece of enacting community voice. To get quality data, we need questions that are rich and open; by listening and asking follow-up questions, the facilitator works to help community members think about their own background knowledge and ideas for the future.
Text mining is an entire segment of big data work that can pull word choices, numbers, or other results from the back end of an application to provide support for developing a community. It may be as simple as a facilitator sifting and organizing data using a Wordle or open-source visualization tool to find high-frequency words or identify patterns in location clusters, work specializations, or some other factor. Opinion or sentiment analysis includes looking for opinions and similar ideas in a cross-section of an asynchronous chat conversation to allow reflection and organization of ideas to focus on future work. Although recorded video conversations can be analyzed this way, this micro-credential focuses on text mining for ease of analysis.
To earn this micro-credential, you must receive a Proficient or Exemplary evaluation in all three categories for Part 2 and Passing scores for each of the questions in Parts 1, 3, and 4.
Submit 1–3 screenshots of any qualitative analysis (word counts, charts, or notes) that demonstrates open, rich questions that can elicit multiple points of view and utilize response strategies. These artifacts should provide evidence of an individual’s leadership interests or areas of expertise. Please also explain the results of your opinion analysis in identifying potential leaders within the virtual community. (250–400 words)
See a guide and CTQ sample analysis for this submission here: https://drive.google.com/file/d/0BxyfL3_e92ZnZnRBZWM5Rk1mX2c/view?pli=1
Your artifact submission will be assessed based on the following rubric. You must earn a score of Exemplary or Proficient for each component in this portion to earn the micro-credential.
Ask one identified leader for a reflection of the following question (200-word limit):
Provide a reflection on what you learned, using the following questions as guidance
(250–400 words for each response):
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