The Role of Data in Education (Part 1)

Introduction

In the modern educational system, data plays a crucial role as an irreplaceable foundation for strategic decision-making. This article presents the importance of data-driven decision-making in the context of effectively organizing and improving general education, based on the approaches, achievements, and existing challenges of Teach For Armenia.

The goal is to share how a data-driven approach becomes a crucial prerequisite for improving educational effectiveness and holistic child development, contributing to systemic reform in Armenian education.

“Data is not merely a statistical figure; it is a means to understand the factors that contribute to or hinder educational outcomes and points the way to improvements.
Schildkamp & Poortman, 2020; Mandinach & Schildkamp, 2021

Years of Impact

Teach For Armenia operating across all regions of the Republic of Armenia

Month Study

Comprehensive research partnership with UCLA CRESST

Years of Assessments

Continuous academic assessments tracking student progress

2024

New Pilot Year

Teacher effectiveness evaluation mechanism launched

Data-Driven Learning at Teach For Armenia

Teach For Armenia’s ten years of work show that program evaluation and data-informed decision-making are essential prerequisites for effective interventions and systemic improvements. Data-driven decision-making is one of the core components of the organization’s work culture.

The evaluation of learning processes is approached from multiple perspectives, enabling the formation of a well-grounded, multi-dimensional, and complete picture. This allows not only for documenting outcomes but also for understanding the processes and factors behind them.

Two Core Evaluation Directions

Holistic Student Development EvaluationAssesses both academic progress and the development of leadership and social-emotional skills. Standardized subject-specific tests measure not only subject knowledge but also its application and critical thinking development.
Teacher Effectiveness EvaluationConsiders teachers’ academic preparedness, instructional skills, classroom culture, leadership capacity, and students’ academic progress. A new evaluation mechanism was developed and is being piloted in the 2024 to 2025 academic year.
Action-Oriented Follow-upCollected data drives concrete action plans. Results are discussed with students to foster responsibility, self-reflection, and define specific steps toward progress.

UCLA Partnership and Critical Thinking Research

Academic assessments conducted over four years, along with an 18-month comprehensive study carried out in partnership with CRESST at the University of California, Los Angeles School of Education and Information Studies (SEIS), show that developing critical thinking and higher-order cognitive skills among students remains an area for improvement.

Student development extends beyond academics. Based on its internally developed Leadership Competency framework, Teach For Armenia has created age-appropriate assessment tools examining how students recognize emotions, identify strengths, communicate constructively, and synthesize learning.

Challenges in Data-Driven Education

How to avoid misinterpretation of data?

The diversity of data sources calls for vigilance. Misinterpreted or fragmented data can lead to decisions that negatively affect learning. Information from different sources considered in isolation results in a partial picture. Integrated, multi-faceted analysis is essential to identify patterns and gain a complete understanding of learning effectiveness.

What about data quality and standardization?

For educational decision-making, it is crucial to have pre-planned, standardized, and reliable data collection. This makes it possible to compare results across academic years, schools, or communities, identify cause-and-effect relationships, and draw well-founded conclusions.

How is student data privacy protected?

Data transparency, accessibility, and accountability must be ensured while protecting personal data privacy in accordance with the Republic of Armenia’s Law on Personal Data Protection (2015). Secure storage, limited access to sensitive information, and an ethics-based approach foster responsible data use.

What is the data literacy challenge?

Many teachers and education managers lack sufficient skills to work with data or do not view a data-informed approach as integral to their daily work. Technical barriers in accessing data and using analytical tools can also limit data utilization.

How Data Promotes Engagement and Accountability

Data-driven decision-making becomes a powerful tool for collaboration and trust-building, bringing together education managers, teachers, parents, and students. When data is accessible and decisions based on it become shared processes, transparency, stakeholder engagement, and responsibility are strengthened.

UNESCO (2020) notes that studying data together with students boosts their self-awareness, showing them they are active participants in their own progress. This approach encourages self-regulation, promotes motivation, and creates a participatory learning environment.

In the next article, we will explore Teach For Armenia’s experience in assessing leadership and social-emotional competencies in more detail.

ESMARIDA POGHOSYAN

Senior Data and Impact Strategist · Teach For Armenia

References

Datnow, A., and Park, V. (2018). Professional Collaboration with Purpose: Teacher Learning Towards Equitable and Excellent Schools.
Mandinach, E. B., & Schildkamp, K. (2021). Data-Informed Decision Making in Education: The Next Steps in Supporting Educators to Use Data.
OECD (2019, 2021). Education data governance and smart data usage studies.
Schildkamp, K. & Poortman, C.L. (2020). Data-driven decision making for school improvement.
UNESCO (2020). Data-driven learning and student agency.

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