Across the country, district-community teams are tackling pressing and complex educational challenges with Inclusive Innovation, an education R&D model that starts with centering the needs of those most impacted by these challenges. This paper shares the stories, solutions, outcomes, and learnings from years of deep collaboration in the words…

As countries make continued investments in early childhood care and education (ECCE) systems, data and measurement play a critical role in outlining strengths and areas for improvement. To promote data-driven decision-making across all levels of early childhood systems, measurement must be valid, reliable, and feasible, especially when used at…

The European Education Area aims to support Member States' efforts in enhancing the educational attainment of younger generations. In this policy context, there is a need for an objective tool to assess the educational outcomes of EU countries. The present report addresses this need by pursuing two objectives: (1) providing a comprehensive method…

Data-driven decision-making (DDDM) requires educational leaders and teachers to monitor and evaluate programs and processes and link results to individual and organizational outcomes. A classroom teacher's ability to collect and review data, analyze data to identify trends and strategies for student achievement, and use data to determine and…

Institutions of higher education are presented as vital pathways to economic mobility, particularly for working class, first generation, and students of color. Yet the inequitable outcomes produced by post-secondary institutions suggest structures and systems of exclusion and enclosure. In this critical mixed methods case study, we explore the…

This article presents autoethnographic short stories that describe an early childhood education and care (ECEC) centre director's work for one year in a municipality in Finland. The purpose of this article is to provide a glimpse into what it is like to enter into an ECEC director position and live everyday ECEC life with economic data that are…

Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…

Learning designers face challenges integrating learning analytics (LA) when designing learner-content interactions in corporate online education. The quality of the learning design directly affects learners' engagement and impacts the transfer of learning at work. This qualitative study aimed to explore the perspectives of experienced learning…

Improving outcomes for young children with high-intensity needs requires a high-quality workforce trained in equitable, intensive, individualized instructional practices and supports incorporating culturally and linguistically responsive evidence-based practices (Gunn, 2020) and developmentally appropriate practices (DAP; NAEYC, 2021) Nationally…

Enrollment of American Indian and Alaska Native (AI/AN) students in postsecondary education in the United States has been increasing over the past three decades (Chee, Shorty, and Robinson Kurpius 2019). The Tribal College Movement began more than 40 years ago with the establishment of the first tribally-controlled community college in 1968.…

The adoption of learning analytics (LA) in higher education institutions (HEIs) in Mexico is still at an early stage despite increasing global interest and advances in the field. The use of educational data remains a challenging puzzle for many universities, which strive to provide students, teachers, and institutional administrators with…

Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…

To ensure all students, including historically marginalized students, reached their highest capacity, there was a focus on equity in education at the state and national levels. Minimal research existed where researchers explored principals' educational equity mindset, and I found a gap in the literature concerning the use of principals'…

In 2020, Grass Valley School District (GVSD) engaged in the Preschool through third grade Coherence Collaboration (P3CC) with California Education Partners, focusing on improving literacy instruction. Over 3 years, the GVSD P3CC team implemented new literacy assessments and instructional practices, particularly in phonics instruction. The…

In 2010, Nolan and Temple Lang proposed "integration of computing concepts into statistics curricula at all levels." The unprecedented growth in data and emphasis on data science has provided an impetus to finally realizing full implementations of this in new statistics and data science programs and courses. We discuss a proposal for the…