Data in Education | Learning A-Z (2024)

Think of educational data as a machine that receives and uses inputs to help run the educational process, producing outputs that include things like progress, success, and achievement. Data use depends on critical inputs from the parent, teacher, student, district, and state.

Specific data inputs can include everything from teacher quality to student demographics, while specific data outputs include things like attendance, grades, assessment scores, and graduation rates.

“Data in education has huge potential to improve learning materials.”
– Jose Ferreira

When data is interpreted effectively, it can be used to understand individual student needs and employ strategies to differentiate instruction. Data analysis helps teachers understand their students’ learning abilities and challenges, and facilitates an ingrained cultural process that uses detailed inputs (information) to ensure optimal outputs (results for students).

Here are a few of the many types of data that may be collected to provide a teacher with information on any individual student:

Types of Data

TermDescriptionStakeholder(s)
AssessmentsEvaluation of learning and ability. Pre- and post- assessments help to plan instruction and interventions and make improvements. Formative assessment summarizes the student’s development at a particular time.Summative assessment includes end of year exams or state standardized tests. Since they are administered at the end of the year, it is difficult to use their data for planning instruction.Teachers administer, and students participate. Parents, teachers, and students review and discuss progress/improvement.
AttendanceNumber of days present and absent. Years of attendance at school.Teachers record daily attendance.
BehaviorActions of a person based on the environment and/or interaction with others. Data includes disciplinary records, report cards, and behavioral assessments.Teachers record student behavior.
BenchmarksNational assessments, state high-stakes tests, district level assessments, SAT and ACT scores, etc.Schools use benchmarks to create best practices.
ClassworkGraded assignments completed in the classroom during the school day.Teachers assign classwork and record grades.
DemographicsAge, gender, race, ethnicity, religion, address, parent level of education, income, etc.Parents and students provide demographic data to school.
GradesGrades may be number, letter, or level score that depicts student learning score.Teachers record grades in gradebook and include on progress reports/report cards.
HealthData includes health records (immunizations), counseling, medical conditions, and history.Parents and pediatricians provide this data to the school.
HomeworkGraded and/or practice assignments to be completed at home.Teachers assign, grade, and record completed homework.
InvestmentResources allocated for intervention programs, cost per student, and after school programs.Schools, districts, and states provide funding to invest in programs to improve student success.
LeadershipLeadership may include teacher and administration experience, education, and achievements.Administrators (school, state, and federal).
ObservationAnnotated behaviors and perspectives based on careful student and/or teacher examination.Teachers record student observations. Administrators observe teachers.
ParticipationLevel of engagement from student. Participation in after school programs and extracurricular activities. Use of academic and social support services. Participation in AP classes.Teachers record level of participation.
QuizzesQuick and informal test of knowledge given to students.Teachers administer quizzes.
ResultsResults may include grade point averages, graduation rates, and college acceptances.Student results are recorded and reported to schools, state, and federal systems.
Socio-economicRelating to or concerned with the interaction of social and economic factors.Parents provide economic data. Teachers and parents provide information on social interactions.
TestsStandardized and/or non-standardized assessment of knowledge and capabilities.Teachers administer tests and record the scores for reporting.

Source: Wikipedia

Schools use data from parents, students, classroom, and teacher to assess the success of the school (teacher performance, test scores, graduation rates, etc.) and to allocate resources where needed. Schools then provide data to their district, which facilitates comparative analytics across cities and regions.

"School districts are required to maintain comprehensive longitudinal student databases complete with information including attendance, demographics, mobility, discipline, state test scores, course enrollment, and grades earned in courses. Data systems created by districts are only useful in transforming schools when they provide meaningful data stakeholders can use to raise questions, identify issues, and make informed decisions."
(Schmoker, 2008)

District data helps administrators to understand overall demographics and academic performance. Data allows districts to identify the schools that need more resources versus the schools that may need different programming.

State and federal systems also use data to make informed choices related to district learning gaps, funding, and overall state needs. Federal and state systems create legislation, policies, and goals based on data patterns. Data received from districts and states helps lawmakers create and enforce standards and regulations to meet the academic, socio-emotional, and safety needs of all students and teachers.

Best Practices

Data-based decision-making encourages innovation and differentiation to improve student outcomes. To ensure optimal data-informed decisions, the suggestions below provide best practices on educational data usage.

  • Collect accurate and timely data.
    • Real-time data collection facilitates differentiation and interventions.
    • Assessments provide opportunities for corrective instruction and demonstration of understanding.
    • Formative assessments provide real-time data that can help with quick customization.
    • Summative assessments provide end-of-term and/or -year data that may help teachers understand learning and/or gaps.
  • Ensure data accuracy.
    • Teachers and administrators need professional development and training to collect, evaluate, and use data effectively (research, collection, validity, relevance, etc.).
    • Teachers and administrators need time to collaborate and learn from one another.
  • Ensure easy access and understanding of data.
    • Data should be easy to obtain and interpret. Graphics, definitions, and other quick links, snapshots, summaries, etc. all facilitate data comprehension.
    • Consistent communications regarding data provide transparency and facilitate the execution of necessary changes.
    • Ongoing feedback loops between students and teachers, teachers and parents, and teachers and school administrators are critical to the communication process of engagement with and accountability for learning goals.
  • Provide ongoing training and allow sufficient time for teachers and administrators to build and improve data literacy skills.

Conclusion

Data usage enables more effective evaluation of programs, resources, and interventions to facilitate student, school, and district success. State and federal systems also use data to create legislation that focuses on student achievement, progress, and meeting the specific needs of the state and district.

Understanding data terms and the role of data is critical to ensuring the systemic functionality and cultural integration of data usage for student and school achievements. Data collection, accuracy, analysis, and interpretation facilitate the identification of accomplishments and interventions to ensure students’ academic needs are met.

Because data is omnipresent, it must also be objectively reviewed and analyzed to communicate accurate information. The information should be cross-functionally shared with teachers, parents, administrators, and district leaders to ingrain the value of data into the cultural operations of the educational system. Collectively, these systems work to benefit the overall success of district, state, and federal systems.

Read the second article in this series: Building a Data-Rich Culture.

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Data in Education | Learning A-Z (2024)

FAQs

What are the 4 types of data in education? ›

The second step is collecting and organizing the data. Four types of data can be used as indicators of a school's success and progress: achievement data, demographic data, program data, and perception data.

What is a data in education? ›

Education data—including academic, educator, demographic, and student information from early childhood to the workforce—is collected from many sources and in many formats, although the type of data, and who can access it, varies. Access to robust data empowers everyone with the information they need to make decisions.

How much does a subscription to reading AZ cost? ›

Retail price is $125 for a 1-year subscription.

What are the 3 main types of data? ›

In this article, we explore the different types of data, including structured data, unstructured data and big data. Data is information of any kind. In the context of business and computing, we'll deal (mostly) with information that's in a machine-readable format.

What are the types of data collection for IEP? ›

#2 Use a Variety of IEP Data Collection Methods
  • Observation: Observe the students in their natural environment and record their behavior. ...
  • Checklist: Use a checklist to track specific behaviors or skills. ...
  • Rating scales: Rate the student's performance on a scale, such as a 1-to-5 scale.
Sep 1, 2023

How do you collect data in education? ›

Indirect Assessment
  1. surveys (of current students, alumni, etc.) ...
  2. exit interviews.
  3. focus groups.
  4. journaling (reflective, or other types)
  5. interviews.
  6. alumni database.
  7. library usage.
  8. CarmenCanvas usage data.

How do teachers use data to improve instruction? ›

Data gives feedback to know where a student is in their learning process. Teachers analyze data from a variety of formative and summative assessments to accurately understand what a specific student, group of students, or even an entire classroom needs to achieve mastery of a specific topic or subject.

What is qualitative data in education? ›

Qualitative data tends to answer questions about the 'what', in which a robust sample can be used to make generalisations. 'how' and 'why' of a phenomenon, rather than questions of about a population. 'how many' or 'how much'.

Is learning az the same as reading az? ›

Reading A-Z is among the family of Learning A-Z websites providing affordable, online curriculum resources.

Is reading AZ worth it? ›

Overall, this is a neat and amazingly comprehensive resource for leveled reading, and it's a good fit for classrooms that aren't 1-to-1.

Is Raz-plus the same as reading AZ? ›

By combining the power of both Reading A-Z and Raz-Kids in one instructional interface, Raz-Plus provides a stronger connection between what is being taught and what students are practicing on their own. Provide standards-aligned reading instruction with more than 50,000 resources that develop key 21st century skills.

What are the 5 examples of data? ›

  • Data collection:
  • Examples of data collection:
  • Monthly bills of a person.
  • Number of students in a class.
  • Number of persons liking a particular food.
  • Number of warehouses in a factory complex.
  • Number of hours spend on daily activities.

What are the 4 types of data examples? ›

4 Types Of Data- Nominal, Ordinal, Discrete And Continuous.

What is the purpose of looking at data in education? ›

K–12 data use

K–12 school administrators and teachers alike use data to inform decision-making at the school and classroom levels. School administrators use student outcomes data to meet accountability reporting requirements, inform school/district goals, and measure the effectiveness of outreach.

What are the 4s of data? ›

Most people determine data is “big” if it has the four Vs—volume, velocity, variety and veracity.

What type of data is years of education? ›

Thus, this variable could be viewed as either ordinal or nominal. Considering educational attainment, we could code this variable as the number of years of schooling a person has completed. This could be taken to be quantitative, with units of years. However, it could also be considered to be ordinal.

What are the types of data for assessment? ›

Generally, data collected for program-level assessment fall into two categories: quantitative and qualitative. Quantitative data analysis relies on numerical scores or ratings and is helpful in evaluation because it can provide quantifiable results that are easy to calculate and display.

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