class: left, bottom, title-slide .title[ # Understanding Curricular Knowledge ] .subtitle[ ## Terminology in Graduate Computing Course Titles at Minority-Serving Institutions ] .author[ ### Bret Staudt Willet + Annie Wofford + Lara Perez-Felkner + Chantra Nhien (Florida State University) ] .date[ ### October 21, 2024 ] --- class: inverse, center, middle #
<br><br> [bretsw.com/aect24-curricular](https://bretsw.com/aect24-curricular) --- class: inverse, center, middle #
<br><br> Background --- #
Problem <img src="img/computing-divide.png" width="600px" style="display: block; margin: auto;" /> ### Persistent disparities in computing: -- - Recent jobs growth in computer science and technology -- - But racial and ethnic disparities remain, from computing-related graduate degrees to computing-related jobs --- #
Shaping Reality <img src="img/food.png" width="600px" style="display: block; margin: auto;" /> ### Options presented to students shape their perception of reality -- Computing programs and courses offered
perceptions of computing jobs available --- #
Shaping Reality <img src="img/food.png" width="600px" style="display: block; margin: auto;" /> ### Curricular Knowledge: -- Represented by the terminology used in program names and course titles --- #
Context <img src="img/food.png" width="600px" style="display: block; margin: auto;" /> ### Minority-Serving Institutions (MSIs): -- Spaces for minoritized students created by U.S. federal funding programs --- #
Purpose <img src="img/food.png" width="600px" style="display: block; margin: auto;" /> **Step One:** Understand how terminology used in MSI computing programs may support or inhibit students’ workforce opportunities -- **Step Two:** Evaluate gaps between terminology established in grad school and terminology employers are looking for --- #
Research Questions <img src="img/food.png" width="600px" style="display: block; margin: auto;" /> - **RQ1:** What terminology do MSIs use to describe computing-related graduate-level programs and courses? -- - **RQ2:** How does the terminology used by MSIs to describe computing courses vary by degree level? -- - **RQ3:** How does the terminology used by MSIs to describe computing courses vary by institution type? --- class: inverse, center, middle #
<br><br> Method --- #
Data Collection <img src="img/food-cart.png" width="720px" style="display: block; margin: auto;" /> -- - Identified MSIs with a graduate computing-related department (*n* = 79) -- - Looked at department websites and online course catalogs --- #
Data Collection <img src="img/msi-map.png" width="100%" style="display: block; margin: auto;" /> --- #
Data Collection | | Programs | Courses | |---------------------|----------|---------| | **Overall** | 173 | 5,776 | | **Degree Level** | | | | Masters | 133 | 4,299 | | PhD | 24 | 1,362 | | Certificate | 16 | 115 | | **MSI Type** | | | | HSI | 104 | 3,729 | | HBCU | 40 | 1,001 | | AANAPISI | 17 | 579 | | HSI + AANAPISI | 12 | 467 | -- <hr> **Important note:** The idiosyncratic nature of university websites limits full-automated web scraping --- #
Data Analysis <img src="img/food-sliced.png" width="600px" style="display: block; margin: auto;" /> -- - Natural language processing (NLP) techniques in R to computationally analyze the large amount of text data -- - **RQ1:** *quanteda* R package (Benoit et al., 2018) to create word clouds -- - **RQ2 + RQ3:** *topicmodels* R package (Grün & Hornik, 2011) to implement a latent Dirichlet allocation (LDA) approach to identify clusters of terms that frequently appear together --- class: inverse, center, middle #
<br><br> Results --- #
RQ1 ### Top Terms Used in MSI Graduate Computing Programs <img src="img/fig1.png" width="520px" style="display: block; margin: auto;" /> --- #
RQ1 ### Top Terms Used in MSI Graduate Computing Course Titles <img src="img/fig2.png" width="520px" style="display: block; margin: auto;" /> --- #
RQ2 ### Comparison of MSI Graduate Computing Course Titles by Degree Level <img src="img/fig3.png" width="320px" style="display: block; margin: auto;" /> --- #
RQ2 ### Comparison of MSI Graduate Computing Course Titles by Degree Level - Master’s and Ph.D. courses were fairly similar -- - Master’s courses have slightly more emphasis on `advanced` and Ph.D. slightly more on `software` -- - More variation when comparing graduate certificate course titles: more emphasis on `architecture`, `visualization`, `high performance`, `biometrics`, and a cluster of `independent`, `data`, and `design`. --- #
RQ3 ### Comparison of MSI Graduate Computing Course Titles by Degree Level <img src="img/fig4.png" width="320px" style="display: block; margin: auto;" /> --- #
RQ3 ### Comparison of MSI Graduate Computing Course Titles by Degree Level - Many similarities across all institutions -- - HSIs and HSI + AANAPISIs emphasized `artificial intelligence` a bit more -- - HBCUs emphasized `management`, `cyber`, and `information security` -- - AANAPISIs are distinguished by `information technology`, `project`, and `writing`. -- - HSI + AANAPISIs emphasized on `machine learning`, `neural`, `networks`, `mobile`, `bioinformatics`, and `computer network` --- class: inverse, center, middle #
<br><br> Reflection & Discussion --- #
Implications for Policy <img src="img/food-tree.png" width="600px" style="display: block; margin: auto;" /> ### Curricular knowledge is shaped by contextual factors -- If MSIs are a mechanism to redress racial/ethnic disparities in computing -- then a first step is to foster inter-institutional synergy through computing program alignment --- #
Implications for Practice <img src="img/food-tree.png" width="600px" style="display: block; margin: auto;" /> ### In AECT's next 100 years... -- designing and supporting curricular knowledge -- must take contextual factors into account (e.g., degree level, institution type) --- #
Future Work <img src="img/food-spaceship.png" width="600px" style="display: block; margin: auto;" /> ### Next Steps: -- Follow up to ask “Why?” these observed differences occurred -- Follow up to compare terminology in curricular knowledge to terminology in computing job postings --- class: inverse, center, middle #
<br><br> Questions <br><br> **Bret Staudt Willet + Annie Wofford + Lara Perez-Felkner + Chantra Nhien** Florida State University <br><br> <hr>
[bret.staudtwillet@fsu.edu](mailto:bret.staudtwillet@fsu.edu) |
[bretsw.com](https://bretsw.com) |
[GitHub](https://github.com/bretsw/) <hr> <div class="caption"> Images created with Midjourney. Slides made with RMarkdown. </div>