class: left, bottom, title-slide .title[ # Module 8: Course Wrap Up ] .subtitle[ ## EME6356: Learning & Web Analytics ] .author[ ### Dr. Bret Staudt Willet ] .date[ ### July 29, 2024 ] --- class: inverse, center, middle #
**View the slides:** [bretsw.com/eme6356-su24-module8](https://bretsw.com/eme6356-su24-module8) --- 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/275488/assignments/syllabus)) --- #
Course Objective 1 --
**1. Discuss major concepts related to analytics.** <hr> -- 1.1 Identify the basic steps in the analytics process: measure, collect, analyze, and report. -- 1.2 Analyze foundational analytics concepts. -- 5.1 Apply data visualization for telling analytics stories. --- #
Course Objective 2
**2. Discuss the application of analytics to the fields of instructional systems design and performance technology.** <hr> -- 2.1 Apply analytics to improve performance at home and at work. -- 3.1 Apply analytics to improve performance in educational settings (K12 to higher ed; formal to informal). -- 4.1 Apply analytics to evaluate online activity. -- 6.1 Assess ethical considerations and challenges for using analytics. -- 7.1 Identify trends and future directions of analytics. -- 8.1 Critique presentations of how analytics have been or may be applied to solving a real-world problem. --- #
Course Objectives 3, 4, 5, 6
**3. Apply the major concepts related to analytics to solving real world problems.** --
**4. Identify real world problems that might be addressed via analytics.** --
**5. Align problems with appropriate data sources, data collection methods, and analytic methods.** --
**6. Select the most appropriate analytic tool for a given context.** <hr> -- 3.2 Develop 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 Develop 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 Develop 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 Objectives 7, 8
**7. Collect analytic data in a systematic manner.** --
**8. Analyze and interpret systematically collected analytic data.** <hr> -- 3.2 Develop 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 Develop 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
**9. Develop context-appropriate reports that indicate how analytics address a particular problem.** <hr> -- 3.2 Develop 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 Develop an analytics report that identifies a data source, accesses/collects the data, analyzes it, generates data visualizations, and tells its story. -- 8.2 Develop 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 --- #
Sink Full of Dishes <img src="img/sink.jpg" width="100%" style="display: block; margin: auto;" /> --- class: inverse, center, middle #
<br><br> Resources <br> for Further Exploration --- 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 #
Continue Learning <img src="img/self-directed.png" width="420px" style="display: block; margin: auto;" /> --- class: inverse, center, middle #
Learn to Code <img src="img/dsieur.jpg" width="320px" style="display: block; margin: auto;" /> **https://datascienceineducation.com/** --- class: inverse, center, middle #
Linkedin Learning <img src="img/linkedin-learning.png" width="100%" style="display: block; margin: auto;" /> Search **"data Science"** on Linkedin Learning: **https://www.linkedin.com/learning/** --- class: inverse, center, middle #
GitHub Copilot <img src="img/copilot.png" width="100%" style="display: block; margin: auto;" /> **https://github.com/features/copilot** --- class: inverse, center, middle #
<br><br> Play in the <br> [Analytics Sandbox](https://bretsw.com/sandbox) --- class: inverse, center, middle #
<br><br> Explore the [GitHub repository for code and data](https://github.com/bretsw/sandbox) --- class: inverse, center, middle #
<br><br> Use various [Datasets for practice](https://bretsw.com/post/datasets/) --- class: inverse, center, middle #
<br><br> Last Things --- #
Major Assignments <img src="img/build.jpg" width="600px" style="display: block; margin: auto;" /> ### Analytics Assignments - Analytics Ethics Statement (100 points) - **due Friday, August 2** --- #
Course Evaluations <img src="img/interview.jpg" width="720px" style="display: block; margin: auto;" /> --- 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.com](https://bretsw.com) |
[GitHub](https://github.com/bretsw/)