Big data is playing a growing role in education, with schools and colleges turning to large-scale information tracking to guide decisions. An estimated 1,400 colleges and universities in the United States have invested in predictive analytics systems to help monitor and support student success. These tools collect and process huge amounts of information—grades, attendance, activity logs—to look for patterns. Some people are still figuring out how to really make sense of all the numbers though.
Spending on big data in the education sector is expected to reach $47.82 billion over the next two years. The goal behind much of this spending is to help teachers and administrators make better decisions using facts instead of guesses. It’s a lot of money being spent and not every place is sure how to use the tools the right way.
Jeffrey R. Young of EdSurge shared an example of how big data might work in practice. “Can big data from the LMS predict success in a class? That’s the question tackled by a research paper published this week. And the mixed results surprised the scholars working on it. The researchers focused on data from community colleges in Virginia since 2000. They set up two prediction systems to guess whether students would complete a course: one based only on ‘administrative data’ held by the colleges, such as high school GPA and college transcripts of students; and the other based on so-called ‘clickstream’ data generated by students as they went through course activities on the LMS.” Some students who looked like they’d do well still dropped out.
Speech-language pathology (SLP) focuses on identifying and addressing communication and swallowing challenges. While a clinician’s careful observation, empathy, and reasoning remain central, the use of data is becoming a major factor in how SLPs work—whether in schools, clinics, or homes. Gathering and analyzing information supports more focused and measurable outcomes for clients. This shows why it is important to have an SLP practice in schools.
As the demand for clear evidence of progress grows, data offers a solid foundation for therapy. Rather than relying solely on observation, clinicians gain measurable insights into each client’s abilities and needs. This shift allows SLPs to move from simply noticing changes to clearly tracking them, leading to better decision-making during therapy.
Here are several ways data supports the work of speech pathologists:
Assessment and Diagnosis
The first step in effective therapy is a strong evaluation process. Standardized tests provide scores that compare a client’s performance to age-matched peers. Alongside these, tools like language samples, checklists, and informal assessments offer both numerical and descriptive starting points.
This early information helps define the specific nature and level of difficulty a client is facing. It serves as the groundwork for forming early ideas about what needs to be addressed and how. Without this, therapy planning would rely too heavily on guesswork.
Crafting Clear Goals
A major benefit of data is its role in shaping therapy goals. These goals must be Specific, Measurable, Attainable, Relevant, and Time-bound (SMART). Data makes the “measurable” part possible. Rather than saying “improve articulation,” a more precise goal could be: “Client will produce the /r/ sound at the beginning of words with 80% accuracy across three sessions.” This target comes directly from an understanding of where the client currently stands. These kinds of goals are trackable and tailored to the client.
Planning Effective Sessions
Data isn’t limited to the beginning stages—it guides therapy on a daily basis. Recording information during each session helps clinicians make quick, informed changes. If a client struggles to apply a skill in new settings, that pattern will show up in the numbers, prompting a new approach.
If progress slows or stops, the records help identify what’s not working. This ongoing feedback supports decisions that keep therapy focused and responsive to each client’s progress.
Tracking and Responding to Progress
One of the clearest advantages of using data is the ability to track how a client changes over time. When SLPs collect consistent information on key areas, they can create charts or visuals that clearly show improvement. This can encourage clients and families by showing that efforts are leading somewhere.
For clinicians, this long-term view helps answer big questions: Has a goal been met? Does something need to change? Is it time to end therapy? The evidence collected supports these decisions.
Responsibility, Support, and Growth
Using data also helps speech pathologists meet requirements in medical or educational settings. Being able to show outcomes helps secure services and advocate for what clients need. Collecting data across many cases can even support broader studies that lead to better practices across the field.
Information tracking in speech-language work is much more than a formality. It sharpens focus, makes progress visible, supports decision-making, and helps everyone involved stay connected. Rather than replacing the value of clinical judgment, data strengthens a clinician’s ability to help clients gain skills that matter in everyday life.
