Class of 2025 majoring in Computer Science. From Southern California and loves to go to concerts and watch movies!
Class of 2027
Class of 2025 majoring in Computer Science with a minor in Film/Media Studies. From Lancaster, PA and loves to crochet and eat!
Eli Kalberer presenting his poster at the 2024 SVURS at Bucknell University
Marina Anglo and Thao Nguyen presenting their poster at the 2024 SVURS at Bucknell University
Generally, a reading guide is to provide students with ideas on how to understand the content of the article and practice the process of reading in a way that lets them connect it to the technical topics of the class.
We created a reading guide template to make it easy for professors to choose a wide variety of articles for students to engage with data through real-world scenarios that emphasize human elements and social justice. The articles we chose for our reading guides have a wide range of perspectives, from individuals affected by social injustices to the roles of major corporations. Reading these articles from various perspectives sheds light on systemic issues within technical fields.
The goal of these reading guides is to help students navigate and to critically think about the readings, in addition to easing the stress faculty may experience from getting students engaged with readings in STEM courses.
Understanding the humanness in data is crucial, as technology has increasingly become integrated into our daily lives. By understanding the outcomes of the intersection of technology and social justice, students may be able to narrow down possible future career paths and become well-rounded, adaptable leaders with the skills to face changes and societal problems.
The reading guides makes it easy for professors to choose a variety of articles that engage students with data and algorithms through real-world scenarios that emphasize human elements and social justice. We also provide a template so that faculty can use articles of their own and save time by filling in the blanks of our template rather than taking more time and effort to create a reading guide from scratch themselves.
We want to help students navigate and to critically think about the readings. Students studying STEM are not usually trained to unpack readings dealing with systemic challenges within the technology industry. STEM is heavily affected by human bias and society – understanding these influences is essential when going into STEM. Engaging with a variety of texts at the intersection of data and society is crucial.
Behind the numbers in research and data lies real people whose lives are impacted by STEM professionals. Our reading guides will encourage students to ask questions, recognize biases, and engage in ethical and reflective practices to improve their critical reading skills. Our reading guides also encourage students to explore how fields outside of STEM affect and inform the STEM industry.
Figure 1 shows an overview of our reading guide structure. Here is a breakdown of what each section consists of:
Do this first!
Students get understanding of their views concerning the topics of the article. Here, they are giving statements related to the content of the article to seeing where they stand on each of statements.
Before you read: getting acquainted with the text
We prompt students to do research on terms and ideas in article they may not have encountered before.
A first reading: gathering information
This section is for understanding specific facts, figures, stories in the article. A question from this section might look like asking a student to come up with their own description of a figure from the article.
A second reading: summarizing information
This section focuses on getting students to understand the full main idea of the article. We want students to be able to summarize the article in their own words and be able to explain its content to someone who might not have any experiences or knowledge related to the article.
Personalizing the reading: reflecting on the context
We want students to put themselves in the shoes of those in the article. This section is about getting students to understand the impacts of their actions on others. We also bring in the statements from the "Do it first!" section to see if any of their ideas have changed since reading the article.
Data activism: imagining a better world
This section exposes students to data activism and encourages them to explore ideas related to it.
As seen in Figure 2, faculty members can mix and match the sections of the template as they see fit. We want to give faculty as much flexibility as possible with our reading guides.
Figure 1: Overview of Reading Guide structure
Figure 2: Different ways faculty can customize their own reading guide
In the first phase of the project, we chose articles from various industries. Figure 3 shows each of the articles we chose, with topics in housing, healthcare, insurance, prison systems, and education. After finding articles, we each created our own reading guides. Then, we looked at each others' guides, completing them and giving each other feedback on the questions we generated.
During the second phase, we noted the similarities in questions and themes from our reading guides and put these similarities into a general reading guide that could be applied to any article. This was where we created our template.
We had people outside of our research team look at our reading guides and give us feedback on them. This meant that they would complete our reading guides and create their own with the template we provided. In addition, we changed our reading guides to better fit the template we created.
In the Fall, we hope to implement these reading guides in actual classes. From there, we would like to get more feedback from the students to see if the guides were helpful in getting them engaged in the readings. We would also like to learn more about how the reading guides help the faculty in getting students to think about the humanness in data.
Figure 3: Articles from The Markup and The New York Times used in the project
Links to the articles we used
Links to sources that are likely to have similar kinds of articles
Links to some of the articles we used as references for the reading guide template
As a student who has taken algorithm classes the past few years, I have sometimes felt disconnected with my work in some classes as there aren't many discussions about the effect of technology on groups of individuals. I believe it is essential to connect humanities into data/algorithm related classes to help students understand the impact of their work. By creating a template, I hope it would help professors navigate these kinds of conversations.
When we were creating the reading guide template, it was interesting to see the thinking/creative process behind these sections and questions, understanding what the motivation is for each part. Seeing through the lens of a faculty member and trying to get these students to be engaged and reflective was an eye-opening experience.
While reading all of the articles that we used to create the reading guide drafts, it has become clear to me the importance of the impact of technical work onto society.