Module 2: Performance Analytics

.title[
# Module 2: Performance Analytics
]
.subtitle[
## EME6356: Learning & Web Analytics
]
.author[
### Dr. Bret Staudt Willet
]
.date[
### January 20, 2025
]

---

# <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M160 80H512c8.8 0 16 7.2 16 16V320c0 8.8-7.2 16-16 16H490.8L388.1 178.9c-4.4-6.8-12-10.9-20.1-10.9s-15.7 4.1-20.1 10.9l-52.2 79.8-12.4-16.9c-4.5-6.2-11.7-9.8-19.4-9.8s-14.8 3.6-19.4 9.8L175.6 336H160c-8.8 0-16-7.2-16-16V96c0-8.8 7.2-16 16-16zM96 96V320c0 35.3 28.7 64 64 64H512c35.3 0 64-28.7 64-64V96c0-35.3-28.7-64-64-64H160c-35.3 0-64 28.7-64 64zM48 120c0-13.3-10.7-24-24-24S0 106.7 0 120V344c0 75.1 60.9 136 136 136H456c13.3 0 24-10.7 24-24s-10.7-24-24-24H136c-48.6 0-88-39.4-88-88V120zm208 24a32 32 0 1 0 -64 0 32 32 0 1 0 64 0z"/></svg>

**View the slides:**

[bretsw.com/eme6356-ss25-module2](https://bretsw.com/eme6356-ss25-module2)

---

# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M323.8 34.8c-38.2-10.9-78.1 11.2-89 49.4l-5.7 20c-3.7 13-10.4 25-19.5 35l-51.3 56.4c-8.9 9.8-8.2 25 1.6 33.9s25 8.2 33.9-1.6l51.3-56.4c14.1-15.5 24.4-34 30.1-54.1l5.7-20c3.6-12.7 16.9-20.1 29.7-16.5s20.1 16.9 16.5 29.7l-5.7 20c-5.7 19.9-14.7 38.7-26.6 55.5c-5.2 7.3-5.8 16.9-1.7 24.9s12.3 13 21.3 13L448 224c8.8 0 16 7.2 16 16c0 6.8-4.3 12.7-10.4 15c-7.4 2.8-13 9-14.9 16.7s.1 15.8 5.3 21.7c2.5 2.8 4 6.5 4 10.6c0 7.8-5.6 14.3-13 15.7c-8.2 1.6-15.1 7.3-18 15.1s-1.6 16.7 3.6 23.3c2.1 2.7 3.4 6.1 3.4 9.9c0 6.7-4.2 12.6-10.2 14.9c-11.5 4.5-17.7 16.9-14.4 28.8c.4 1.3 .6 2.8 .6 4.3c0 8.8-7.2 16-16 16H286.5c-12.6 0-25-3.7-35.5-10.7l-61.7-41.1c-11-7.4-25.9-4.4-33.3 6.7s-4.4 25.9 6.7 33.3l61.7 41.1c18.4 12.3 40 18.8 62.1 18.8H384c34.7 0 62.9-27.6 64-62c14.6-11.7 24-29.7 24-50c0-4.5-.5-8.8-1.3-13c15.4-11.7 25.3-30.2 25.3-51c0-6.5-1-12.8-2.8-18.7C504.8 273.7 512 257.7 512 240c0-35.3-28.6-64-64-64l-92.3 0c4.7-10.4 8.7-21.2 11.8-32.2l5.7-20c10.9-38.2-11.2-78.1-49.4-89zM32 192c-17.7 0-32 14.3-32 32V448c0 17.7 14.3 32 32 32H96c17.7 0 32-14.3 32-32V224c0-17.7-14.3-32-32-32H32z"/></svg> <br><br> Looking Back at Module 1

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### The three Vs of big data (Russom, 2011, p. 6)

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**Opportunities:**

- Help decision-making

- Treat patients

- Monitor parking

- Prepare stock in preparation of hurricanes

- Monitor students’ self-regulated learning and engagement

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M323.8 477.2c-38.2 10.9-78.1-11.2-89-49.4l-5.7-20c-3.7-13-10.4-25-19.5-35l-51.3-56.4c-8.9-9.8-8.2-25 1.6-33.9s25-8.2 33.9 1.6l51.3 56.4c14.1 15.5 24.4 34 30.1 54.1l5.7 20c3.6 12.7 16.9 20.1 29.7 16.5s20.1-16.9 16.5-29.7l-5.7-20c-5.7-19.9-14.7-38.7-26.6-55.5c-5.2-7.3-5.8-16.9-1.7-24.9s12.3-13 21.3-13L448 288c8.8 0 16-7.2 16-16c0-6.8-4.3-12.7-10.4-15c-7.4-2.8-13-9-14.9-16.7s.1-15.8 5.3-21.7c2.5-2.8 4-6.5 4-10.6c0-7.8-5.6-14.3-13-15.7c-8.2-1.6-15.1-7.3-18-15.2s-1.6-16.7 3.6-23.3c2.1-2.7 3.4-6.1 3.4-9.9c0-6.7-4.2-12.6-10.2-14.9c-11.5-4.5-17.7-16.9-14.4-28.8c.4-1.3 .6-2.8 .6-4.3c0-8.8-7.2-16-16-16H286.5c-12.6 0-25 3.7-35.5 10.7l-61.7 41.1c-11 7.4-25.9 4.4-33.3-6.7s-4.4-25.9 6.7-33.3l61.7-41.1c18.4-12.3 40-18.8 62.1-18.8H384c34.7 0 62.9 27.6 64 62c14.6 11.7 24 29.7 24 50c0 4.5-.5 8.8-1.3 13c15.4 11.7 25.3 30.2 25.3 51c0 6.5-1 12.8-2.8 18.7C504.8 238.3 512 254.3 512 272c0 35.3-28.6 64-64 64l-92.3 0c4.7 10.4 8.7 21.2 11.8 32.2l5.7 20c10.9 38.2-11.2 78.1-49.4 89zM32 384c-17.7 0-32-14.3-32-32V128c0-17.7 14.3-32 32-32H96c17.7 0 32 14.3 32 32V352c0 17.7-14.3 32-32 32H32z"/></svg> Pessimism about Analytics

**Challenges:**

- Misuse of big data, fake news, privacy issues, data security and other ethical considerations
  
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- Surveillance issues

- Leaving digital traces and footprints in online spaces
  
--

- Analytics reports can be lengthy and difficulty to understand

- Lack of infrastructure for implementation of analytics in many contexts

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# <svg aria-hidden="true" role="img" viewBox="0 0 320 512" style="height:1em;width:0.62em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M80 160c0-35.3 28.7-64 64-64h32c35.3 0 64 28.7 64 64v3.6c0 21.8-11.1 42.1-29.4 53.8l-42.2 27.1c-25.2 16.2-40.4 44.1-40.4 74V320c0 17.7 14.3 32 32 32s32-14.3 32-32v-1.4c0-8.2 4.2-15.8 11-20.2l42.2-27.1c36.6-23.6 58.8-64.1 58.8-107.7V160c0-70.7-57.3-128-128-128H144C73.3 32 16 89.3 16 160c0 17.7 14.3 32 32 32s32-14.3 32-32zm80 320a40 40 0 1 0 0-80 40 40 0 1 0 0 80z"/></svg> <br><br> Module 1 <br> Final Thoughts?

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###

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### Measure

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### Measure <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Collect <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Analyze <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Report

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# Performance at Home

Measure <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Collect <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Analyze <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Report

**What might we measure?**

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# Performance at Home

- How has your electricity usage increased due to working from home, if at all?

- How have your sleep patterns changed since having a baby?

- How has your heart rate changed since starting a new exercise routine?

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# Performance Analytics Example

### Fitbit

**What might we measure?**

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# Performance Analytics Example

### Fitbit: Daily Steps During COVID-19

View the code [on GitHub](https://github.com/bretsw/fitbit)

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# Performance Analytics Example

### Fitbit: Resting Heart Rate During Move

View the code [on GitHub](https://github.com/bretsw/fitbit)

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# Performance Analytics Example

### Fitbit: Heart Rate Yesterday

View the code [on GitHub](https://github.com/bretsw/fitbit)

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# Performance at Work

**What might we measure?**

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# Performance at Work

- How has your productivity changed due to working from home, if at all?

- Who do you tend to seek for professional advice?

- How has the sentiment of team messages changed during COVID-19?

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# Performance Analytics Example

### GitHub User Profile: @bretsw

[View the webpage](https://github.com/bretsw)

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# Performance Analytics Example

### GitHub User Profile: @hadley

[View the webpage](https://github.com/hadley)

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# Performance Analytics Example

### GitHub: {tidytags} R Package Contributors

[View the webpage](https://github.com/bretsw/tidytags/graphs/contributors)

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# Performance Analytics Example

### GitHub: {rtweet} R Package Contributors

[View the webpage](https://github.com/ropensci/rtweet/graphs/contributors)

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# Performance Analytics Example

### GitHub: {tidytags} Development Timeline (Nov 2021)

[View the webpage](https://github.com/bretsw/tidytags/graphs/commit-activity)

Also check out [{tidytags} Code Frequency](https://github.com/bretsw/tidytags/graphs/code-frequency)

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# Performance Analytics Example

### GitHub: {tidytags} Development Timeline (Jan 2022)

[View the webpage](https://github.com/bretsw/tidytags/graphs/commit-activity)

Also check out [{tidytags} Code Frequency](https://github.com/bretsw/tidytags/graphs/code-frequency)

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# <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"/></svg> Semester schedule

- **Module 1:** Introduction to Analytics
- **Module 2: Performance Analytics**
- **Module 3:** Learning Analytics
- **Module 4:** Web Analytics
- **Module 5:** Data Visualization
- **Module 6:** Ethics in Learning Analytics
- **Module 7:** Future of Analytics
- **Module 8:** Case Discussions

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- <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M464 256A208 208 0 1 0 48 256a208 208 0 1 0 416 0zM0 256a256 256 0 1 1 512 0A256 256 0 1 1 0 256zm306.7 69.1L162.4 380.6c-19.4 7.5-38.5-11.6-31-31l55.5-144.3c3.3-8.5 9.9-15.1 18.4-18.4l144.3-55.5c19.4-7.5 38.5 11.6 31 31L325.1 306.7c-3.2 8.5-9.9 15.1-18.4 18.4zM288 256a32 32 0 1 0 -64 0 32 32 0 1 0 64 0z"/></svg> Explore

- <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M88.2 309.1c9.8-18.3 6.8-40.8-7.5-55.8C59.4 230.9 48 204 48 176c0-63.5 63.8-128 160-128s160 64.5 160 128s-63.8 128-160 128c-13.1 0-25.8-1.3-37.8-3.6c-10.4-2-21.2-.6-30.7 4.2c-4.1 2.1-8.3 4.1-12.6 6c-16 7.2-32.9 13.5-49.9 18c2.8-4.6 5.4-9.1 7.9-13.6c1.1-1.9 2.2-3.9 3.2-5.9zM0 176c0 41.8 17.2 80.1 45.9 110.3c-.9 1.7-1.9 3.5-2.8 5.1c-10.3 18.4-22.3 36.5-36.6 52.1c-6.6 7-8.3 17.2-4.6 25.9C5.8 378.3 14.4 384 24 384c43 0 86.5-13.3 122.7-29.7c4.8-2.2 9.6-4.5 14.2-6.8c15.1 3 30.9 4.5 47.1 4.5c114.9 0 208-78.8 208-176S322.9 0 208 0S0 78.8 0 176zM432 480c16.2 0 31.9-1.6 47.1-4.5c4.6 2.3 9.4 4.6 14.2 6.8C529.5 498.7 573 512 616 512c9.6 0 18.2-5.7 22-14.5c3.8-8.8 2-19-4.6-25.9c-14.2-15.6-26.2-33.7-36.6-52.1c-.9-1.7-1.9-3.4-2.8-5.1C622.8 384.1 640 345.8 640 304c0-94.4-87.9-171.5-198.2-175.8c4.1 15.2 6.2 31.2 6.2 47.8l0 .6c87.2 6.7 144 67.5 144 127.4c0 28-11.4 54.9-32.7 77.2c-14.3 15-17.3 37.6-7.5 55.8c1.1 2 2.2 4 3.2 5.9c2.5 4.5 5.2 9 7.9 13.6c-17-4.5-33.9-10.7-49.9-18c-4.3-1.9-8.5-3.9-12.6-6c-9.5-4.8-20.3-6.2-30.7-4.2c-12.1 2.4-24.7 3.6-37.8 3.6c-61.7 0-110-26.5-136.8-62.3c-16 5.4-32.8 9.4-50 11.8C279 439.8 350 480 432 480z"/></svg> Discuss

- <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M64 64C28.7 64 0 92.7 0 128V384c0 35.3 28.7 64 64 64H512c35.3 0 64-28.7 64-64V128c0-35.3-28.7-64-64-64H64zm16 64h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM64 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V240zm16 80h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V336c0-8.8 7.2-16 16-16zm80-176c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V144zm16 80h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V240c0-8.8 7.2-16 16-16zM160 336c0-8.8 7.2-16 16-16H400c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V336zM272 128h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM256 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V240zM368 128h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H368c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM352 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H368c-8.8 0-16-7.2-16-16V240zM464 128h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H464c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM448 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H464c-8.8 0-16-7.2-16-16V240zm16 80h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H464c-8.8 0-16-7.2-16-16V336c0-8.8 7.2-16 16-16z"/></svg> Create

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### Discussion (50 points)

- Initial post on Canvas due by second Wednesda (but post as early as possible)

- At least 3 responses due on Canvas by end of Module 2 (second Sunday night)

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### Analytics Problem Plan (100 points) - **due end of Module 3**

- "Write a brief report (approximately 750-1000 words) identifying and describing a real-world problem that might be addressed via analytics."

- "The emphasis of this assignment is on the conceptualization of the problem and the clear identification of a possible data source."

- "Then briefly describe how analytics will be used to solve the problem"

- "You will not need to collect actual data related to this problem, just plan for how it would be done."

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### Project Team Formation

- Coordinate on Canvas

- **Due this week!**

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<hr>

**What questions can I answer for you now?**

**How can I support you this week?**

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