Educational systems typically contain a large pool of items (questions, problems). Using data mining techniques we can group these items into knowledge components, detect duplicated items and outliers, and identify missing items. To these ends, it is useful to analyze item similarities, which can be used as input to clustering or visualization…

The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…

Through this paper, we explore "unbundling," the separation of various aspects of education, resources, teaching and assessment (Ossiannilsson et al., 2015) and "rebundling," where these activities are "recombined into new configurations with little loss of functionality" (Ge et al., 2004, p. 1). We chart the…

The last decade has witnessed a strong impact of emerging technologies on language pedagogy due to the developments in the computer technologies. The use of authentic linguistic examples through corpora and concordance based activities is defined as data-driven learning and it exposes the students to examples of more realistic language than…

Teacher professional development (PD) that supports the emergence of professional learning communities (PLCs) is effective for teachers' learning and instructional improvement. Our work focuses on supporting the emergence of online PLCs and an emergent issue in this work is how to maintain the quality of teachers' experiences in online PLCs when…

Learning in data-rich environments has been a focus of learning sciences research since the inception of the field, with increasing interest in the ways learners "narrate data." This article examines the narration of data from the perspective of "learning on the move," identifying mobilities of data, and of the narratives in…

In the fall of 2019, Nebraska Indian Community College [NICC] became the first tribal college to participate in a new data service of the National Student Clearinghouse called the Postsecondary Data Partnership (PDP). A small college with high aspirations for its students, NICC was in the process of building data capacity and adopting data-driven…

Understand the science of reading and how to implement evidence-based instruction to increase the reading and writing achievement of pre-K-6 students, including those at risk for reading difficulties. Fully revised and updated, this core text covers the research base for structured literacy instruction and practical guidance on the essential…

We use high frequency internet search data to study in real time how US households sought out online learning resources as schools closed due to the COVID-19 pandemic. By April 2020, nationwide search intensity for both school- and parent-centered online learning resources had roughly doubled relative to baseline. Areas of the country with higher…

Measuring Early Learning Quality & Outcomes (MELQO) was initiated to address needs for child development and quality of early childhood education (ECE) data, specifically for low- and middle-income countries. Drawing from existing tools, MELQO convened a consortium to create open-source tools to be adapted to national contexts, simultaneously…

Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…

In 1989, New Zealand started to follow an international trend of reforming education policy according to the neoliberal principles of competition, choice and self-managing schools. Since then, the increasing availability of digital data in schools has corresponded with the development of student achievement measurement tools and benchmarking of…

Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…

This report focuses on a critical concern for the European Training Foundation's (ETF's) partner countries and other countries of the around the world. Skills mismatch is recognised as a major challenge by policy makers, practitioners and social partners, as it is often associated with dynamic social and economic contexts such as restructuring…

The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…