We developed a brief, informant-report interview for assessing autism spectrum conditions (ASC) in adults, called the Developmental, Dimensional and Diagnostic Interview-Adult Version (3Di-Adult); and completed a preliminary evaluation. Informant reports were collected for participants with ASC (n = 39), a non-clinical comparison group (n = 29)…

Recently there has been a growth in the surveillance of students' online activities. This has been facilitated not only by the increasing numbers of digital devices, but also through surveillance creep (Marx, 1998). Drawing upon this concept and associated ideas, including data creep, policy creep and concept creep, this paper explores the digital…

Analysing the behaviour of student performance in classroom education is an active area in educational research. Early prediction of student performance may be helpful for both teacher and the student. However, the influencing factors of the student performance need to be identified first to build up such early prediction model. The existing data…

Low-cost devices have widened the use of multimodal data in experiments providing a more complete picture of behavioural effects. However, the accurate collection and combination of multimodal and behavioural data in a manner that enables reproducibility is challenging and often requires researchers to refine their approaches. This paper presents…

Applied behavior analysis (ABA), or the application of behavioral principles to important social issues, has long served a crucial role in programming for special education students. Its procedures have been well established in the research literature and many deemed as evidence-based practices for students with and without disabilities.…

Publicly-available datasets, though useful for education, are often constructed for purposes that are quite different from students' own. To investigate and model phenomena, then, students must learn how to repurpose the data. This paper reports on an emerging line of research that builds on work in data modeling, exploratory data analysis, and…

Evaluators can work with brief units of text-based data, such as open-ended survey responses, text messages, and social media postings. Online crowdsourcing is a promising method for quantifying large amounts of text-based data by engaging hundreds of people to categorize the data. To further develop and test this method, individuals were…

The National Student Clearinghouse (NSC) has available for research a large data warehouse of enrollment and graduation information from 1993 to the present for nearly all postsecondary students in the United States. In this most recent academic year, 18 million currently enrolled students alone were added to the database. Some of the following…

There is increasing momentum behind the idea that curriculum materials, including textbooks, represent a powerful lever for education reform. As funders are lining up and state leaders are increasing their policy attention on curriculum materials, this report discusses the very real challenges of this effort. The report draws on my experience over…

Prior learning assessment policies allow students to earn college credit for knowledge and experience gained outside of a classroom, which can accelerate their time to graduation. Research shows that students who receive Prior Learning Assessment (PLA) credit accumulate more credit and graduate more quickly and at higher rates than their peers who…

Learning does not end at 3 p.m. or in June, and neither should data-driven support for students. Communities across the country are recognizing out-of-school time (OST) programs as key partners to provide students not only important enrichment and academic services but also targeted supports and expanded learning opportunities. This policy brief…

As communicated via a November 2017 memo (see ED610130), the Vermont Agency of Education (AOE), in collaboration with their implementation vendor Houghton Mifflin Harcourt (HMH), has been working to finalize the design, development, and testing of a Statewide Longitudinal Data System (SLDS). Through its Vertical Reporting processes, the SLDS will…

This study is part of a research programme investigating the dynamics and impacts of learning engagement in a challenge-based digital learning environment. Learning engagement is a multidimensional concept which includes an individual's ability to behaviourally, cognitively, emotionally, and motivationally engage in an on-going learning process.…

Higher education is a key driver of economic mobility and future growth in California. Yet there is much unknown about how students advance from K-12 schools to postsecondary education and into the workforce--and where they falter. This lack of knowledge stems from the fragmented nature of California's education data and inhibits informed decision…

Low- and middle-income countries have made significant progress getting children into school, but student learning and achievement are often dreadfully low (Berry, Barnett, & Hinton, 2015; Pritchett, 2013). Approximately 250 million children across the world are not acquiring basic reading and math skills, even though about half have spent at…