Schools generate enormous amounts of data every day. Most of it is never analyzed. Beyond benchmark scores and attendance dashboards lies a quieter layer of information—LMS click paths, revision histories, help desk tickets, device repair logs, app usage analytics, and formative assessment timestamps.

This unused layer is often called “dark data.” It is not secret data, just simply ignored.

For instructional coaches and technology facilitators, dark data represents one of the most practical and overlooked levers for improving instruction. The key is not collecting more information, but learning to interpret what schools already have.

What Counts as Dark Data in Schools?

Dark data includes data that has already been collected, has not been systematically analyzed, and is not currently connected to instructional improvement. Common examples include:

• LMS analytics (time-on-task, submission timestamps, revision frequency)
• Assignment resubmission patterns
• Help desk tickets by classroom or department
• Wi-Fi usage density by time of day
• Formative quiz attempt patterns
• Accessibility tool usage (text-to-speech, captioning)

Individually, these data points seem technical. Collectively, these tell an instructional story.

Why Coaches Should Care

Instructional coaching traditionally relies on classroom observations, student work artifacts, teacher self-reporting, and testing data. Additionally, building strong interpersonal relationships between teachers and coaches is essential.

Dark data adds another dimension: behavioral signals that occur between instruction and assessment. For example:

• If LMS logs show that most students access a resource only minutes before submission deadlines, pacing or clarity may need adjustment.
• If revision histories show minimal drafting activity, students may not understand the iterative writing processes.
• If help desk tickets spike during a specific unit, tool complexity may be interfering with learning goals.

These insights shift coaching conversations from abstract impressions to concrete patterns.

Step 1: Start with a Focused Question

The biggest mistake schools make is pulling reports without a hypothesis. Effective dark data analysis begins with a coaching question, such as:

• Are students engaging with feedback before submitting final drafts?
• Are digital tools supporting differentiated instruction?
• Is a new platform improving formative assessment practices?
• Are accessibility tools being used by the students who need them?

Dark data should answer instructional questions, not generate technical trivia.

Step 2: Identify the Most Actionable Data Sources

Not all dark data is equally useful. Coaches and tech facilitators should prioritize data that connects directly to classroom practice.

High-value sources include LMS logs showing time spent on resources, sequence of materials accessed, frequency of logins, and peer discussion participation. Assignment version histories can be useful to show the number of drafts, the time between revisions, and how feedback was incorporated into the final revisions.

Formative assessment data can reveal important patterns in how students engage with learning tasks, including their accuracy on first attempts, how often they retake assessments, and which questions consistently present challenges. When combined with analytics on accessibility feature usage, such as caption activation, read‑aloud tools, and translation supports, coaches can better understand how students are navigating content and whether built‑in supports are being leveraged effectively.

Support request data further enriches this picture by highlighting recurring help desk themes, patterns of app‑related confusion, and classroom‑specific technical issues that may be interfering with instruction rather than enhancing it.

These datasets often require collaboration with IT staff. Building that bridge is essential.

Step 3: Translate Technical Data into Instructional Language

Raw analytics overwhelm educators. Coaches can serve as translators.

• Instead of saying: “Students averaged 3.2 clicks per module.” Reframe as: “Most students appear to skip directly to the assignment without engaging the instructional materials.”
• Instead of: “Revision frequency is low.” Reframe as: “Students do not see drafting as part of the learning process.”

The goal is not to present dashboards, but to highlight potential instructional implications.

Step 4: Use Patterns, Not Surveillance

Dark data must never become a compliance tool.

Ethical guardrails include:

• Looking for grade-level or course-level patterns, not individual policing
• Anonymizing student identifiers during coaching analysis
• Framing findings as instructional improvement opportunities
• Avoiding punitive teacher comparisons

The purpose of dark data is insight, not enforcement. When used responsibly, it builds trust rather than eroding it.

Practical Scenarios for Instructional Improvement

Scenario 1: Feedback Isn’t Being Used

An instructional coach reviews LMS timestamps and discovers that 78% of students open teacher feedback less than five minutes before final submission deadlines.

Coaching conversation can help identify if students are taught how to apply feedback–would draft checkpoints improve engagement? The coach might suggest the following instructional adjustments: to add structured revision conferences and require a brief “feedback response” paragraph before final submission.

Scenario 2: Tool Fatigue Is Undermining Learning

Help desk tickets reveal repeated confusion with a newly adopted digital annotation tool.

A coaching conversation shift could discuss whether the cognitive load of the tool outweighs instructional benefits, and whether simpler workflows could achieve the same goal? The coach could suggest the following instructional adjustments: providing micro PD on streamlined tool use and replacing complex features with focused functionality.

Common Coaching Pitfalls to Avoid

• Data Overload – Too many metrics paralyze action. Coaches should start with a single data thread to consider and then build from there with the teacher.
• Misinterpretation – For instance, clicks do not equal comprehension. Don’t overvalue the data; confirm what it means.
• Equity Blindness – Usage patterns may reflect access disparities.
• Tech-Centric Framing – Coaches must remember that data must serve pedagogy, not the reverse. Instruction remains the goal, technology is the lens.

Building a Data Culture

For school leaders, supporting this work requires intentional coordination rather than isolated technical efforts. Effective use of dark data requires collaboration between instructional coaching teams and IT departments, clearly defined privacy protocols, and professional learning focused on interpreting analytics through an instructional lens. Leaders must also provide structured time for cross-functional teams to examine patterns together and ensure that insights are explicitly aligned to instructional priorities.

When these conditions are in place, dark data moves out of siloed systems and into strategic instructional conversations through which it can meaningfully inform practice.

A Reframing for Learning

For years, schools have invested in platforms that promise insights; however, many of those insights remain buried. Instructional coaches and technology facilitators occupy unique positions: They understand pedagogy and systems and can see where digital behavior and classroom intentions diverge.

Dark data is not about mining students or pointing out teacher failings, but illuminating instructional blind spots. When interpreted ethically and strategically, the quiet signals already flowing through school systems can become powerful catalysts for better teaching. The question is no longer whether schools have enough data but whether educators are effectively using the data that already exists.

During the early days of the pandemic, everyone in education was talking about using the crisis to change education for the better. 

School leaders at the Barrington School District 220 in Illinois wanted to do more than just talk about change, they wanted to learn from the moment and make sure it would help steer the district going forward. To that end, the Barrington 220 Leadership Council undertook a massive data-gathering effort to learn from their educators, students, and parents what pandemic-necessitated innovations should be amplified and which should be discarded. 

Here’s how they gathered the data and how it’s changing the district going forward. 

“A Once-In-a-Lifetime Opportunity”  

Between January and April of 2022 the Leadership Council asked three questions of staff members: 

1. What have you learned throughout the pandemic about what education and
school could be?

2. How have relationships changed between you and your students and their
families?

3. What programs or services developed out of necessity during the pandemic would you like to see continued?

The council collected 1,503 responses from the staff of all 12 of the district’s schools. Additionally, focus groups were held with graduating seniors who were asked how the district might better prepare students for life after high school. 

A key to getting so many responses was explaining to the staff how important the data would be. “[We] set the context to let them know the importance of gathering this information, and how this is really a once-in-a-lifetime opportunity to not only think about doing things differently but to actually start to put those things in practice and really reimagine education,” says Dr. Melissa Byrne, assistant superintendent for Teaching & Learning. 

What the Data Revealed 

The overarching themes that emerged from the staff survey were around technology, flexibility and adaptability, relationships, social-emotional learning (SEL), and home/school connections. 

Many educators spoke positively about the relationships they formed with students and their parents and the deeper connection between school and home that technology fostered. 

“Because they were literally in students' home for the first time in their careers and seeing what kind of environment the individual students had, it connected them to families in ways that they'd never been connected before,” says Matt Fuller, assistant superintendent for Technology & Innovation. 

The district is looking to continue to foster this connection going forward. One part of doing this will be allowing remote student-parent conferences as an alternative to in-person conferences. 

The student focus groups revealed similar themes around technology and connection, with many students suggesting the district expand opportunities for blended learning. 

“The extent to which our seniors talked about extending blended learning experiences at the high school surprised us,” Fuller says. “That was something that was directly impacted by the pandemic, and it's something that we're putting a lot of time and effort into now, as we're moving forward in the areas of personalized learning, and also future-ready learning.” 

How the Data Is Influencing the District Going Forward  

The survey has also encouraged the district to renew its focus on personalized learning. “We have launched our flexible learning cohort with a team of high school staff, who have been identified by their peers as what we call 'influencers,'” Byrne says. These innovative teachers and principals meet regularly to discuss personalized learning best practices and are dedicated to promoting it at their schools. 

“We’re really making the focus about the students and empowering our students to own their own learning, so that they can truly have agency,” Byrne says. This ties in well and mirrors the work that is being done at the high school level around expanded blended learning opportunities, she adds. 

Another factor the district is focusing on in regard to personalized learning is making sure student staff recognize the difference between personal success skills and academic success skills. 

“Academic success skills are attached to a particular grade level or content, and they're mostly used in a chronological fashion,” Byrne says. “So you learn these literacy skills in kindergarten, these math skills in third grade. Whereas the personal success skills are really developmental, and that can change over time based on your age, based on your grade, based on the task that you're engaged with.” 

The insights gleaned from the data, however, go deeper than talking points and will continue to influence the district in the years ahead. 

“We've heard a lot of people, especially leaders, step forward during the pandemic and say, 'In every crisis, there's opportunity,' and what are those opportunities for schools, but we saw very little follow through,” says Dr. Robert Hunt, Barrington’s superintendent. “We made a decision in Barrington to take the time to reflect and work with the people who were in the trenches and learn what it is that we need to pull forward when we think about redesigning our schools in the future.” 

• 6 Tips for Protecting Student Data Privacy
• Innovation in Education

How can schools use data to personalize the learning experience for all students? 

“We’re really starting to see districts rally around the data, and trying to get it into the hands of school-level administrators to drive future decisions,” said Dr. Adam Cibulka, Senior Manager Student Analytics for Frontline Education, during a recent Tech & Learning virtual roundtable discussion. “We have students who have been in crisis through this entire time, and they might not be telling us they're in crisis, so we need to make sure and find a way to take all the data sets that we have put it in a spot for our team to analyze and act on because many times those students would not cry out that they need help.”

Educators and experts discussed this and how they are using data to benchmark student performance, target opportunity gaps, develop strategies to accelerate student learning, and ensure all students have equitable learning opportunities.

See the free on-demand version here

Key Takeaways

Whole child focus. “Equity means that everyone is searching to find their place. And every one is looking for a chance to have a chance,” said Dr. Searetha Smith-Collins, 7 Mindsets Chief Academic Officer. “So as we think about data collection and analyzing data, and finding ways to support learning and opportunities, we have to keep that in mind as our underlying thoughts.” 

Currently, district leaders are focused on educator recruiting, staffing, and training, while school-level priorities are mainly centered on social-emotional learning and areas beyond pure academic performance. “I love something that Louisa May Alcott said. ‘I am not afraid of storms, for I am learning how to sail my ship,’” said Smith-Collins. “And I think for those of us who have successfully managed through this process that we just concluded, about 700-plus days of COVID and its impact, we're closer to knowing now that we need to develop the whole child, the whole person. We know that we can now get back to transforming education and building positive, happy humans.”

Data rich, analytics poor. Cibulka discussed how Frontline has been working hard with districts to develop analytics dashboards that allows educators to easily combine and analyze student data, from attendance to what apps they have, to create better supports. “We need the data to know where we are now so we can craft a path to where we want to be,” he said. 

“Many of our clients are saying, ‘We’re data rich and analytics poor – where do we go?’” said Dr. CyLynn Braswell, Advisor for Student Analytics at Frontline Education. Educators really want to understand the metrics to know who their students are and what the community is experiencing, and to move forward. “If we're not careful about how we pivot, if we continue to keep circling back around, we're going to go right back to where we were pre-COVID and not providing the opportunities for young people.”

“Data doesn’t give you the answer, but it helps you answer what the reality is and how to monitor the situation,” said Dr. Barbara Ybarra, Associate Superintendent of Teaching & Learning for Bryan ISD in Texas. Ultimately, she said, “It's about the progress, the conversation, and the action. And that comes from strong leadership, that's built on trust in a collaborative way that’s shared between the campus, the district, and all the other teams coming together to make the greatest positive impact on that child in the time that I have with them.” 

Using data to better support equity. Smith-Collins noted that a lot of professors weren’t ready for the same learning emergencies as there was in K-12, which trickled down into instruction. “We can’t depend on what we think will be certain, so we have to prepare for different ways of doing business,” she said. “We saw that there are shortages and uneven opportunities so we have to begin to look at how we are delivering teaching and learning and assessments. And is it really addressing the needs of all of our families and students?” Consequently, using data to inform decisions around the appropriate curriculum tools that will help teachers make shifts to virtual learning, if need be, is critical. 

Students who are connected to the school community tend to thrive, so it’s critical to track  data in order to make those connections for all students, said Ybarra. It’s also important to address the opportunity gaps within families, and providing data to the community is a part of that, especially for district improvement plans. “Nothing's worse than being asked to actually sit at the table and not being allowed to eat,” she said. “That happens in the data and we see it. These tools allow us to actually become actionable around it and say everyone will come to the table and all will eat.”

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As the costs for devices and applications decrease, technology use is increasing In classrooms across the country. Growth is particularly high in web-based devices. A recent University of Phoenix College of Education survey showed that about 58% of teachers use educational apps and 41% use social media. As tablets, Chromebooks, and other handheld devices are employed in classrooms, instruction relies more and more on apps instead of on traditional computer-based programs.

Join us for What Ed Tech Apps Work Best for Learning? Monday, November 5, 2018 12:00pm Pacific time, 3:00pm Eastern

Some apps are comprehensive and others tackle a specific purpose. Among the classroom apps in widespread use are those for:

Presenting, creating, and coding

Developing and honing skills in math, ELA, and science

Fulfilling classroom needs such as organizing, note-taking, writing, looking up definitions, and developing portfolios

Learning information and getting answers to questionsCollaborating and communicating

With so much learning dependent on app-based technology, educators, administrators, and communities need to know if they are using the best apps for each purpose and for each curriculum area. Cost and usage are only part of the picture. Even more, they need to know the impact of these apps -- if students are learning because of them.

Impact tracks the link between student usage on a particular app and how that may or may not influence their performance on assessments.

More than $3 billion was spent on ed tech products last year and more than 2,500 programs are on the market. Educators need to know which products are likely to have a positive impact on learning for their students. To figure that out, they can look at assessment data for evidence of correlation between apps and test score improvement. With this knowledge, administrators can leverage their data to make smart decisions about using the apps that will best improve learning.

Dr. Ryan S. Baker, Director of the Penn Center for Learning Analytics and Associate Professor, Graduate School of Education, studied 1.4M hours of usage data from 392,603 students in 48 districts to put together a comprehensive report that reveals surprising findings on the range of cost per license, the degree ed tech apps are being used, and the level of app effectiveness for math, science, and ELA.

His groundbreaking study produced insights into the national trends of cost, usage and impact of apps across a broad cross-section of school districts in the U.S. His research also analyzed the contexts where apps are producing positive impact. In addition, he uncovered just how many apps are purchased by districts for use in classrooms but are not widely used. (Spoiler alert: The median percent of unused licenses is 70.1%)

Investment, Engagement, Impact

National data is meaningful but districts also need data that shows if they are making the best decisions on apps for their classrooms. Analyzing their data can tell them which apps work best in which classrooms, which have the greatest impact on learning, and the conditions in which specific apps are effective. The key is in evaluating data about the cost, user perception and the effectiveness of apps the district has employed. Together the data will provide answers about the districts’ technology investment, engagement, and impact.

While there are data mining programs that report cost and usage, the key in understanding the value of a district’s technology decisions is to use data that shows the impact on learning. To break down the analysis needed, districts should connect program usage and student achievement.

We know that if an app is seldom used, it can’t be effective. What we don’t know is impact. If an app for literacy instruction offers an individualized approach and provides performance data within the app, that data should be mapped to the results of reading proficiency assessments to judge its value. If a math program with a common core aligned curriculum allows teachers to assign content for students to practice online and track their progress toward mastery, that data should be mapped to the results of math assessments to gauge its effectiveness.

Some districts have implemented BrightBytes’ Learning Outcomes Modules, which captures data using a district’s existing web proxy and employs advanced research-driven analytics to correlate usage with student achievement data. It takes millions of data points from digital device usage and triangulates it with district investment data and student achievement data.

With this data, educators can know which programs have the most impact and can develop plans to replicate, scale, or adjust resources accordingly.

The future of employing apps in classrooms is based on knowing what makes a difference for student learning by assessing the impact on student scores and gauging how much each app is used in order to gain insight into the real costs. Having the right data leads to informed decision-making and future student success.

Illuminate Education  has acquired FastBridge Learning, a research-driven assessment platform that helps teachers measure and monitor student progress. Together, the companies comprise educator-driven Illuminate Education. The company provides formative assessments and assessment platforms, data that informs instruction, and the ability for educators to build strong systems of support within their districts.

Founded in 2015, FastBridge Learning was invented by Dr. Theodore J. Christ and Dr. Zoheb Borbora, with scholarly contributions from leading educational researchers from the University of Minnesota and colleges of education around the country. The organization, serving nearly 2 million educators and students across 45 states, including a statewide implementation in Iowa, is committed to building knowledge and improving educational assessments. Its Formative Assessment System for Teachers (FAST™) is the only K-12 solution that combines Curriculum-Based Measurement (CBM) and Computer-Adaptive Testing (CAT) for reading, math and social-emotional behavior.

To learn more about Illuminate Education, please visit http://illuminateed.com.

CatchOn, a data analytics tool designed for school districts, today unveiled a new platform that offers an add-on module for class-level data. The new platform will launch ahead of the 2019-20 school year.  

The comprehensive, device-agnostic solution will deliver the same features and services CatchOn users nationwide have come to know. In addition,  the platform will include several enhancements and customizable tools that provide education leaders with more visibility into their data. The most anticipated enhancement is CatchOn’s new class-level add-on module, which includes One Roster integration and will enable district and school leaders to access actionable data at the class level.  

The new platform is scheduled to launch later this summer.

Edsby® K!2 digital learning and data platform is being deployed across New Zealand.  

After two years of competitive evaluations, the New Zealand Ministry of Education awarded Edsby a contract to build and run the country’s Te Rito National Learner Repository and Data Exchange, formerly the Student Information Sharing Initiative (SISI).   

This multi-year key Ministry project is aimed at strengthening the continuity of learning for New Zealand’s 800,000 students by consolidating critical information to ensure it is available to teachers when a student arrives in a new school.

Edsby is being configured to the Ministry’s requirements and is to be deployed in two early stage roll-outs with the first stage already underway. The system is then to be rolled out to all 2,500 public schools in the country, so that regardless of the individual school’s Student Management System (SMS), information will be available to support the learner at school, when it’s needed.  

All data will be hosted in Ministry-approved cloud data centers operated by Microsoft. The Ministry is working with legal, ethics and privacy experts to ensure data privacy and access is managed appropriately. New Zealand’s student data privacy regulations are among the strictest in the world.  

Panorama Educationtoday announced the launch of a new multi-tiered system of supports (MTSS) and response to intervention (RTI) tracking system, as part of its Panorama Student Success Platform. 

With Panorama Education's new intervention management solution, educators can now assign and manage evidence-based interventions across multiple tiers of support—universal, targeted, and intensive—and can collaborate with interventionists, support staff, and administrators. This 360-degree insight enables educators to monitor the progress of individual students and groups, and provides guidance on whether more intensive or less intensive interventions are required to meet student goals. 

Panorama Student Success also provides to school and district leaders visibility into the status of interventions and supports across grade levels, schools, and across their whole district.

"Before I would manually pull up our attendance, behavior incidence and low achievement reports for our students and then have to manually enter it into spreadsheets to identify students who needed extra support given these at-risk factors," said Nichole Goodliffe, dean of students at Mound Fort Junior High School in Ogden, Utah. "This process often took hours and even days to complete. This year, it now takes minutes using the Panorama system. Our student support teams meet weekly and can review our data together while monitoring the progress of our interventions, recording notes daily, and seeing what interventions have been completed for students with other staff in the building. All of this keeps us in the loop in our MTSS process because we know what has been done, when it was done and can go on to better support each student."

Cerego today announced it is working with BBC Bitesize, a free online study resource for students in the United Kingdom. BBC Bitesize will integrate Cerego’s learning platform within its online guides for General Certificate of Secondary Education (GCSE) courses, delivering an interactive and personalized method for students to learn.

Cerego’s AI-driven learning platform and data insights aim to simultaneously educate students and measure their performance, while also providing students with access to their own learning data. Cerego’s predictive analytics allow moderators to analyze each student's interactions to help encourage more efficient study habits and provide relevant content based on what they already understand and what they need to review, as opposed to following a predetermined workflow. 

Cerego is used by over 1,000 educational institutions in the United States with plans to continue expanding offerings internationally. 

MIDAS ("Massively Integrated Data Analytics System") recently announced its new website has added the MIDAS Education Data Visualization and Educator Growth and Mentoring tools. The revamped website also better illustrates and explains the functionality of the product, including a new products tab that more clearly shows the scope of the MIDAS Education Enterprise System.

[Looking to Find the Best Ed Tech Tools? Ask a Fellow Teacher]

MIDAS (www.midaseducation.com) is a single data model application that encompasses all of the common functions for instruction in one system with one user Interface. Learn more at www.midaseducation.com/

Many different school districts have the same data challenge. They have data, but it can’t be shared across systems. Educators are often dissatisfied with data management as it requires data to be input multiple times across both the SIS and LMS. For busy teachers this is inefficient and time consuming.

Lawrence (KS) Public Schools had this exact situation. Faculty and staff were frustrated by the inaccessibility and usability of the data to impact student learning. Initially, district leaders turned to their technology team to build an inhouse data integration platform that could connect their LMS to their SIS. After a year of effort, the task force wasn’t able to arrive at a solution.

Their LMS provider recommended the DataSense solution from BrightBytes and within days, the SIS and the gradebook were connected. Integration was seamless and data immediately started moving and updating in real time.

When teachers discovered that they only had to enter data once, LMS usage across the district increased by 48%. DataSense was able to track student movement in classrooms through nightly updates, making changes available to teachers each morning. As adoption rates improved, the district’s culture improved as well. Educators were happy to focus on teaching rather than manual data entry.

Watch this video to see the power of data interoperability in Lawrence (KS) Public Schools or read the case study here.

Dr. Terry McEwen, director of assessment, research, and accountability for Lawrence Public Schools, said that DataSense, solved multiple data management problems. “It’s more thatn a full-time job to complete the work that DataSense does,” he said. “So, it’s both a time-saver and a money-saver for us.”

In fact, DataSense has been so successful in changing data practices that district leaders have audited other data programs to identify additional areas where DataSense could improve efficiency and provide insights for instruction and student learning.

As they look to the future, district leaders hope to add additional systems onto the DataSense platform so they can decrease human interactions with data and minimize the potential for human error.

Watch this video to see the power of data interoperability in Lawrence (KS) Public Schools or read the case study here.

Bringing together student assessment and school quality measures, two education nonprofits have agreed to merge, their boards of directors announced today. Dover, N.H.-based Measured Progress, provider of standards-based assessment, and metro Atlanta-based AdvancED accrediting body, will join forces to form a nonprofit educational company focused on data-driven tools for school improvement.

[New Program Helps Teachers, Students Explore AI]

The merged nonprofit organization will offer an integrated platform bringing together a broad range of student academic and non-academic data, as well as improved decision-making tools. The platform will help school leaders and teachers refine instruction, improve learning environments, allocate resources, and address other factors that research says affect student and school performance. The new nonprofit will also provide professional development for educators.

A recent Tech & Learning survey of over 500 teachers, principals, and district administrators revealed noteworthy disparities between the realities of teachers’ assessment experiences inside their classrooms and the perceptions of principals and district administrators outside the classroom.

While a certain degree of disconnection is to be expected, particularly given the limited interaction and physical distance common between teachers and district administrators, some of the most striking differences in perception occurred between teachers and principals working together in close proximity.

These gaps in understanding, concerning everything from the type and volume of assessments being administered to the effort and time involved in creating and grading assessments and analyzing the data gathered, can be a challenge, but they offer an opportunity to bring expectations and performance in line with one another.

Check the resources below for the full findings of our comprehensive survey.

Additional Resources

Click here to download the full white paper.

Understanding the Classroom Assessment Gap: Eight Important Takeaways for Principals & Administrators