class: left, bottom, title-slide # Module 8: Case Discussions ## EME6356: Learning & Web Analytics ### Dr. Bret Staudt Willet ### April 19, 2022 --- class: inverse, center, middle #
**View the slides:** [bretsw.github.io/eme6356-ss22-module8](https://bretsw.github.io/eme6356-ss22-module8) --- #
Data Stories <img src="img/8-data-story.jpg" width="360px" style="display: block; margin: auto;" /> >Circular #dataviz showing average daily temperatures around the year for selected cities of the world, sorted by latitude (plus an alternative version sorted by overall average in the 🧵). Made with #rstats + #ggplot2 and #Figma. (Tweet from [@CedScherer](https://twitter.com/CedScherer/status/1513964792461074437)) --- #
Data Stories <img src="img/8-data-story.jpg" width="560px" style="display: block; margin: auto;" /> --- class: inverse, center, middle #
<br><br> Module 7 Discussion <br> Themes and Kudos --- class: inverse, center, middle #
<br><br> Module 7 Discussion <br> Final Thoughts? --- class: inverse, center, middle #
<br><br> EME6356 In Review --- #
EME6356 Learning Objectives <img src="img/8-course-map.png" width="100%" style="display: block; margin: auto;" /> (See the [course syllabus](https://canvas.fsu.edu/courses/195595/assignments/syllabus)) --- #
Course Objective 1 -- ### Discuss major concepts related to analytics. -- 1.1 Understand the basic steps in the analytics process: measure, collect, analyze, and report. -- 1.2 Understand and analyze foundational analytics concepts. -- 5.1 Understand and analyze applications of data visualization for telling analytics stories. --- #
Course Objective 2 ### Discuss the application of analytics to the fields of instructional systems design and performance technology. -- 2.1 Understand and analyze applications of analytics for improving performance at home and at work. -- 3.1 Understand and analyze applications of analytics for improving performance in educational settings (K12 to higher ed; formal to informal). -- 4.1 Understand and analyze applications of analytics for evaluating online activity. -- 6.1 Understand and analyze ethical considerations and challenges for using analytics. -- 7.1 Understand and analyze trends and future directions of analytics. -- 8.1 Analyze presentations of how analytics have been or may be applied to solving a real-world problem. --- #
Course Objective 3 ### Apply the major concepts related to analytics to solving real world problems. -- 3.2 Create an analytics plan that identifies and describes a real-world problem and explains how analytics might be used to address the problem through data collection, data analysis, and reporting phases. -- 5.2 Create an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 7.2 Evaluate a situation in which analytics have been or may be applied to solving a real-world problem and create a compelling presentation of your evaluation. -- 8.2 Create an ethics report that identifies and describes ethical considerations related to using analytics to solve a real-world problem and explains specific ethical concerns of data collection, data analysis, and reporting phases. --- #
Course Objective 4 ### Identify real world problems that might be addressed via analytics. -- 3.2 Create an analytics plan that identifies and describes a real-world problem and explains how analytics might be used to address the problem through data collection, data analysis, and reporting phases. -- 5.2 Create an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 7.2 Evaluate a situation in which analytics have been or may be applied to solving a real-world problem and create a compelling presentation of your evaluation. -- 8.2 Create an ethics report that identifies and describes ethical considerations related to using analytics to solve a real-world problem and explains specific ethical concerns of data collection, data analysis, and reporting phases. --- #
Course Objective 5 ### Align problems with appropriate data sources, data collection methods, and analytic methods. -- 3.2 Create an analytics plan that identifies and describes a real-world problem and explains how analytics might be used to address the problem through data collection, data analysis, and reporting phases. -- 5.2 Create an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 7.2 Evaluate a situation in which analytics have been or may be applied to solving a real-world problem and create a compelling presentation of your evaluation. -- 8.2 Create an ethics report that identifies and describes ethical considerations related to using analytics to solve a real-world problem and explains specific ethical concerns of data collection, data analysis, and reporting phases. --- #
Course Objective 6 ### Select the most appropriate analytic tool for a given context. -- 3.2 Create an analytics plan that identifies and describes a real-world problem and explains how analytics might be used to address the problem through data collection, data analysis, and reporting phases. -- 5.2 Create an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 7.2 Evaluate a situation in which analytics have been or may be applied to solving a real-world problem and create a compelling presentation of your evaluation. -- 8.2 Create an ethics report that identifies and describes ethical considerations related to using analytics to solve a real-world problem and explains specific ethical concerns of data collection, data analysis, and reporting phases. --- #
Course Objective 7 ### Collect analytic data in a systematic manner. -- 3.2 Create an analytics plan that identifies and describes a real-world problem and explains how analytics might be used to address the problem through data collection, data analysis, and reporting phases. -- 5.2 Create an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 7.2 Evaluate a situation in which analytics have been or may be applied to solving a real-world problem and create a compelling presentation of your evaluation. --- #
Course Objective 8 ### Analyze and interpret systematically collected analytic data. -- 3.2 Create an analytics plan that identifies and describes a real-world problem and explains how analytics might be used to address the problem through data collection, data analysis, and reporting phases. -- 5.2 Create an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 7.2 Evaluate a situation in which analytics have been or may be applied to solving a real-world problem and create a compelling presentation of your evaluation. --- #
Course Objective 9 ### Develop context-appropriate reports that indicate how analytics address a particular problem. -- 3.2 Create an analytics plan that identifies and describes a real-world problem and explains how analytics might be used to address the problem through data collection, data analysis, and reporting phases. -- 5.2 Create an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 8.2 Create an ethics report that identifies and describes ethical considerations related to using analytics to solve a real-world problem and explains specific ethical concerns of data collection, data analysis, and reporting phases. --- class: inverse, center, middle #
<br><br> Looking Back, Looking Ahead --- class: inverse, center, top #
Looking Back, Looking Ahead <div class="padlet-embed" style="border:1px solid rgba(0,0,0,0.1);border-radius:2px;box-sizing:border-box;overflow:hidden;position:relative;width:100%;background:#F4F4F4"><p style="padding:0;margin:0"><iframe src="https://fsu.padlet.org/embed/tko9avv5ldaixa8w" frameborder="0" allow="camera;microphone;geolocation" style="width:100%;height:480px;display:block;padding:0;margin:0"></iframe></p><div style="padding:8px;text-align:right;margin:0;"><a href="https://padlet.com?ref=embed" style="padding:0;margin:0;border:none;display:block;line-height:1;height:16px" target="_blank"><img src="https://padlet.net/embeds/made_with_padlet.png" width="86" height="16" style="padding:0;margin:0;background:none;border:none;display:inline;box-shadow:none" alt="Made with Padlet"></a></div></div> --- class: inverse, center, middle #
<br><br> Data Analytics Tools --- class: inverse, center, top #
Data Analytics Tools <div class="padlet-embed" style="border:1px solid rgba(0,0,0,0.1);border-radius:2px;box-sizing:border-box;overflow:hidden;position:relative;width:100%;background:#F4F4F4"><p style="padding:0;margin:0"><iframe src="https://fsu.padlet.org/embed/xxl6opndte57rmc5" frameborder="0" allow="camera;microphone;geolocation" style="width:100%;height:480px;display:block;padding:0;margin:0"></iframe></p><div style="padding:8px;text-align:right;margin:0;"><a href="https://padlet.com?ref=embed" style="padding:0;margin:0;border:none;display:block;line-height:1;height:16px" target="_blank"><img src="https://padlet.net/embeds/made_with_padlet.png" width="86" height="16" style="padding:0;margin:0;background:none;border:none;display:inline;box-shadow:none" alt="Made with Padlet"></a></div></div> --- class: inverse, center, middle #
<br><br> Looking Ahead --- #
Semester schedule <img src="img/across-time.jpg" width="100%" style="display: block; margin: auto;" /> - **Module 8:** Case Discussions - **ends April 24** --- #
Major Assignments <img src="img/build.jpg" width="600px" style="display: block; margin: auto;" /> ### Analytics Assignments - Analytics Ethics Statement (100 points) - **due April 24** --- class: inverse, center, middle #
<br><br> Questions <hr> **What questions can I answer for you now?** **How can I support you this week?** <hr>
[bret.staudtwillet@fsu.edu](mailto:bret.staudtwillet@fsu.edu) |
[@bretsw](https://twitter.com/bretsw) |
[bretsw.com](http://bretsw.com) |
[GitHub](https://github.com/bretsw/)