State leaders are grappling with generation-defining challenges as they work to fully understand and address the impact of the pandemic on students and communities. As leaders turn their attention to the upcoming school year, data continues to be a critical tool for informing recovery efforts. Data Quality Campaign's (DQC) 2021 public opinion…

Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies (LEAs) to certify eligible children for free meals without the need for household applications.…

Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…

Literacy is an essential life skill, and adolescents need strong literacy skills to succeed in secondary schools and beyond. Low literacy achievement in the middle grades puts students, particularly students with disabilities (SWD), at a disadvantage heading into high school and can lead to negative outcomes such as dropping out. The intention of…

Secondary analyses of international large-scale assessments (ILSA) commonly characterize relationships between variables of interest using correlations. However, the accuracy of correlation estimates is impaired by artefacts such as measurement error and clustering. Despite advancements in methodology, conventional correlation estimates or…

The use of mobile devices is increasing rapidly as a potential tool for science teaching. In this study, five educators (three middle school teachers and two museum educators) used a mobile application that supported the development of a driving question. Previous studies have noted that teachers make little effort to connect learning experiences…

This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…

In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…

Background: Efficient classroom management and adequate discipline are major issues for teachers in schools worldwide, with the guiding of students' behaviour as one of the primary challenges. Teachers' knowledge, skills, attitudes and behaviour play central roles in the appropriate handling of classroom disturbances. Purpose: The purpose of this…

Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…

Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…

Career technical education plays an important part in the mission of community colleges--providing educational opportunities needed by members of their communities. Career technical programs prepare students for entry into the workforce. Accountability standards for career technical programs, from local, state, and federal bodies, monitor…

NCVER's latest strategic plan outlines the vision and mission, and 7 strategic objectives and interrelated actions, that will direct company activities for the next 3 years. It also details the values that underpin our culture, our commitment to quality and integrity, measures of success against the objectives, and principles of practice and…