2015 DSSG Data Fest: Team College Persistence
Summary
TLDRThe video highlights the challenges low-income students face in completing college, despite many enrolling after high school. Schools working with disadvantaged students understand these barriers and have hired counselors to support them through the process. However, with limited resources, schools need help identifying which students require the most support. The speaker discusses how data-driven models can predict college persistence using high school records and other data, helping counselors provide targeted support. Ultimately, the goal is to ensure that every student has the tools and guidance necessary to graduate from college.
Takeaways
- 🎓 College graduates tend to have better health, more wealth, and higher life satisfaction.
- 📉 Students from low-income families are less likely to graduate from high school and attend college.
- ⚖️ The gap between the richest and poorest children becomes more significant when it comes to completing a college degree.
- 1️⃣ Less than 1 in 5 children from low-income families obtain a college degree.
- 🏫 Charter schools that serve disadvantaged backgrounds are successfully enrolling students in college but struggle with helping them graduate.
- 📞 Schools are hiring college counselors to guide students through challenges like financial aid and course registration.
- 🚨 Small issues like missing deadlines can lead to college dropouts, with long-term negative consequences.
- 🔍 Schools have limited resources and need to prioritize students who need the most support, which is where data comes in.
- 📊 Data-driven models using high school grades and college characteristics can identify students more likely to drop out.
- 💡 By incorporating more personalized information, such as student integration into the college community, schools can better predict which students need support to persist.
Q & A
What advantages are commonly associated with having a college degree?
-People with college degrees tend to be in better health, have more wealth, and report higher life satisfaction across various areas.
How does the likelihood of obtaining a college degree differ between low-income and high-income families?
-Children from low-income families have less than a one-in-five chance of obtaining a college degree, compared to their higher-income peers, indicating a significant gap in college completion rates.
What are some challenges that students from disadvantaged backgrounds face in completing college?
-Students from disadvantaged backgrounds may struggle with tasks like filling out financial aid forms or registering for necessary courses, which can lead to them dropping out of college.
How are some charter networks addressing the issue of college persistence for their students?
-These charter networks hire college counselors to provide ongoing support to students, helping them navigate challenges like financial aid and course registration, and offering guidance throughout their college journey.
Why is it important for schools to know which students need support the most?
-With limited resources, schools need to focus their efforts on students who are most at risk of dropping out in order to have the biggest impact on college completion rates.
What steps are being taken to predict college persistence for students?
-The schools, in partnership with data-driven teams, are using high school records and alumni contact data to build models that predict college persistence and identify which students are most likely to drop out.
What simple factors are effective in predicting a student's likelihood of dropping out of college?
-Simple factors such as high school grades and the characteristics of the college a student attends can accurately predict which students are at higher risk of dropping out.
What other factors, besides high school GPA, influence college persistence according to college counselors?
-College counselors consider factors like how well students are performing in their classes and how integrated they feel within their college community as significant influences on persistence.
What is the next step for improving data-driven predictions on college persistence?
-The next step involves collecting qualitative data from counselors' conversations with students about their college experiences, which could be used to build more refined, individualized predictions.
What is the ultimate goal of the project described in the script?
-The ultimate goal is to provide every student with the necessary tools and support to successfully graduate from college.
Outlines
🎓 The Benefits of a College Degree
This paragraph highlights the advantages of having a college degree. People with degrees tend to have better health, more wealth, and higher life satisfaction. However, not everyone receives an education, and students from low-income families are less likely to graduate high school or enroll in college. The greatest disparity between wealthy and poor children lies in completing a college degree, with less than 20% of low-income students achieving this.
🏫 Schools Helping Low-Income Students
Several charter networks are working with students from disadvantaged backgrounds. These schools have been successful in graduating their students from high school and enrolling them in college. However, they recognize that their students have much greater potential to succeed in college if given the right support. These schools are investing in their students by hiring college counselors who provide continuous support and guidance throughout their college journey.
📞 The Role of College Counselors
College counselors play a critical role in preventing students from dropping out, often addressing small issues like filling out financial aid forms or registering for classes on time. However, schools face limitations due to their small counselor teams. To make the most impact, they need to prioritize which students need the most support and when.
📊 Identifying Students Who Need Help
Data shows that students can face multiple barriers on the path to graduation. Some students may not even show up for the first day, while others might be close to finishing but lack the necessary credits. Schools need to identify these students early and offer timely support, which is where data-driven models come into play.
🧮 Using Data to Predict College Persistence
By analyzing students' high school records and alumni contact information, simple data models can predict which students are at higher risk of dropping out. Even basic factors like high school grades or the college a student attends can help counselors identify students who are twice as likely to drop out compared to others.
👩🏫 Beyond Simple Models: Counseling Insights
While simple models are effective, college persistence is influenced by more than just grades and college choice. Counselors also consider how well students are doing academically and how integrated they feel in the college community. Collecting this data during counseling sessions could provide even more accurate predictions for who needs the most support.
🎯 The Future of Student Support
The next step in improving college persistence is having counselors record and analyze the insights they gather from students. With this information, data-driven predictions can be made to provide timely and targeted support to the students who need it most. Ultimately, the goal is to ensure every student has the tools they need to graduate from college.
Mindmap
Keywords
💡College Degree
💡Low-income Families
💡College Persistence
💡Charter Networks
💡College Counselors
💡Data-driven Models
💡Financial Aid
💡College Enrollment
💡High School Graduation
💡Disadvantaged Backgrounds
Highlights
People with college degrees are in better health, have more wealth, and report higher life satisfaction.
Students from low-income families are less likely to graduate from high school and enroll in college.
The gap between the richest and poorest children opens up significantly when it comes to completing a college degree.
A child born to a low-income family has less than a one in five chance of obtaining a college degree.
The charter networks we partner with are very successful at graduating students from high school and enrolling them in college.
However, these schools recognize that their students have the potential to complete college at much higher rates.
Schools are investing in college counselors to help guide students throughout their college journey.
Small issues like not filling out financial aid forms or not registering for courses can lead to students dropping out of college.
Due to limited resources, schools need to prioritize which students to contact first and most often.
From enrollment to graduation, there are many steps where students can fall behind.
Simple models using high school grades or college characteristics can identify students at higher risk of dropping out.
Counselors use conversations with students about class performance and integration into college to assess persistence.
Collecting data on student progress and working with data teams can build data-driven predictions on college persistence.
Data-driven models can help counselors provide timely support to students who need it most.
The belief is that every student deserves access to all the tools needed to graduate from college.
Transcripts
all of us know
people with college degrees are in
better health they have more wealth and
they report higher life satisfaction in
a variety of areas yet not everybody
gets an education students from
low-income families are less likely to
graduate from high school they're less
likely to enroll in college but where
the gap really opens up between the
richest and poorest children in America
is when it comes to completing a college
degree a child born to a low-income
family has a less than one in five
chance of getting a college degree we're
working with a set of schools that know
these facts very very well our partners
are for charter networks whose students
come from a variety of disadvantaged
backgrounds and these schools are very
successful at graduating their students
from high school and enrolling them in
colleges but when it comes to completing
college they know that their students
have the potential to do so at much
higher rates so they're investing in
their students they've hired college
counselors who are calling these
students and meeting with them who are
advising them throughout their college
degree because these counselors know
that although dropping out of college is
a life-changing event it often starts
with something very small like not
filling out your financial aid form on
time or not registering for the courses
you need and while every school wishes
that their team of counselors was like
this in practice their team is more like
this every school has limited resources
in order to have a big impact on their
alumni they need to know who to call
first and who to call most often
ultimately who needs their support the
most and that's where we come in we know
that from enrollment to graduation there
are many steps along the way and at each
step there are some students who don't
make the jump there are students who
sign up for college and then don't show
up on their first day of school there
are students who complete
years of college realize they don't have
the credits they need to get the degree
they wanted and never come back for
their third year so what would be ideal
for college counselors would be to have
individualized predictions to know for
any student at any point in their degree
how much support they need and how
likely they are to show up for their
next semester so what we've done is
we've taken all of their high school
records and all of their alumni contact
records and we've built data-driven
models to predict college persistence
what we've learned is that simple models
often do just as well or even better
than complicated models for example
using high school grades alone or using
the characteristics of the college that
a student is attending alone allows us
to identify students who are twice as
likely to drop out of college than an
average student but of course we know
that there's far more to college
persistence
then a student's high school GPA or what
college they choose to attend and the
college counselors know this too when
they're speaking to students they're
having conversations about how well
they're doing in their classes and how
well integrated they feel in their
college community and that's the next
step for this project if college
counselors were to write this data down
record this information and work with a
team like ours we know that they could
build those data-driven predictions and
get timely information about which
students need the most support because
ultimately we believe that every student
deserves every tool to graduate from
college thank you
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