One of the inspirational forms of integrating technology into Second Language (L2) teaching is using 'corpora'. In this study, corpora were used to develop printed instructional materials to teach grammatical cohesive devices that are not sufficiently represented in L2 English course books. Specifically, the aim was to understand whether the…

The Responses to Educational Disruption Survey (REDS), conducted by the International Association for the Evaluation of Educational Achievement (IEA), studied how teaching and learning were affected by the disruptions caused by COVID-19 and aimed to paint a picture of national responses to the global pandemic. REDS was based on the premise that…

Divided into two volumes, "Handbook of Special Education Research" provides a comprehensive overview of critical issues in special education research. This first volume addresses key topics in theory, methods, and development, exploring how these three domains interconnect to build effective special education research. Each chapter…

Institutional researchers are often tasked with assessing why college-wide initiatives succeed or fail. This can be a difficult task: researchers need to discriminate between multiple feasible explanations, work with limited data, and produce compelling narratives. Process tracing is a qualitative methodology that enables researchers to make valid…

The Education-to-Workforce Indicator Framework (E-W Framework), commissioned by the Bill & Melinda Gates Foundation and developed in partnership with leading experts representing more than 15 national and community organizations, is designed to encourage greater cross-sector collaboration and alignment across local, state, and national data…

Learning analytics involve the process of gathering data about students and using the information to intervene in their lives to improve learning and institutional outcomes. Many academic libraries now participate in learning analytics. However, such practices raise privacy and intellectual freedom issues due to sensitive data practices. But, few…

This study investigated the performance of four widely used data-collection designs in detecting test-mode effects (i.e., computer-based versus paper-based testing). The experimental conditions included four data-collection designs, two test-administration modes, and the availability of an anchor assessment. The test-level and item-level results…

There has been considerable investment in pre-college educational interventions for all areas of STEM (including computer science). The goal of many of these initiatives is to engage and interest students early in their educational career. In this study, a systematic literature review was undertaken to determine the demographic and program data…

The aim of this research was comparing the performance of primary school Chilean children when reading different types of graphs included in the primary school curriculum in this country (pictogram, line graph, pie chart and dot plot). A sample of 745 6th and 7th Grade students were given a questionnaire including four tasks in each of which they…

Data and technology can be used for achieving many different objectives, and their applications should be driven by major stakeholder needs. Already there are emerging projects and innovations that will lay the foundation for a new public-private data infrastructure to produce a more dynamic and equitable talent marketplace. The launch of the T3…

In "Houston Federation of Teachers (Plaintiff) v. Houston Independent School District (Defendant)," plaintiffs contested how teachers were being evaluated using a value-added model (VAM) as part of the districts' teacher accountability system. The VAM at issue was the Education Value-Added Assessment System (EVAAS), with potential…

Aim/Purpose: This paper aims to explore whether having state Computer Science standards in place will increase young children's exposure to coding and powerful ideas from computer science in the early years. Background: Computer science education in the K-2 educational segment is receiving a growing amount of attention as national and state…

This exploratory multi-case study investigates the types of teacher performance data principals consider and collect when evaluating teachers. Data come from public school principals (N = 10) in the U.S. state of Michigan and includes: interviews (n = 30), observations (n = 20), and artifacts collected in 2016 and 2017. Additionally, specific…

In this study, we examine the relationships between principals' evidence-oriented attitudes and their data use in school leadership practices. Based on theoretical assumptions and existing empirical research, we develop hypotheses on the correlation of evidence-oriented attitudes, epistemological beliefs and principals' data use. We test these…

The purpose of this study was to use an action research approach to improve family-school partnerships within one rural high school. The action research process occurred over three school years and involved multiple cycles of investigation. Each cycle of investigation involved an ongoing, iterative process of reflecting, planning, acting, and…