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Hollands, Fiona M.; Kieffer, Michael J.; Shand, Robert; Pan, Yilin; Cheng, Henan; Levin, Henry M. – Journal of Research on Educational Effectiveness, 2016
We review the value of cost-effectiveness analysis for evaluation and decision making with respect to educational programs and discuss its application to early reading interventions. We describe the conditions for a rigorous cost-effectiveness analysis and illustrate the challenges of applying the method in practice, providing examples of programs…
Descriptors: Cost Effectiveness, Early Reading, Reading Programs, Reading Instruction
Douglas, Kerrie A.; Bermel, Peter; Alam, Md Monzurul; Madhavan, Krishna – Journal of Learning Analytics, 2016
MOOCs attract a large number of learners with largely unknown diversity in terms of motivation, ability, and goals. To understand more about learners in highly technical engineering MOOCs, this study investigates patterns of learners' (n = 337) behaviour and performance in the Nanophotonic Modelling MOOC, offered through nanoHUB-U. The authors…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Technology Uses in Education
Towndrow, Phillip A. – RELC Journal: A Journal of Language Teaching and Research, 2016
This article explores teachers' classroom monitoring in English language learning and asks if it has a role to play beyond what we know and recognize as mainstream classroom management. As part of a larger study of pedagogical practices in classrooms in Singapore, researchers collected and analyzed videographic data on the types and…
Descriptors: Foreign Countries, Classroom Techniques, Affordances, English (Second Language)
Barlow, Sarah – Australian Journal of Music Education, 2018
Education in Australia is driven by measurement of progress. Music education, however, requires students to engage in creative and experiential tasks. This article will address the inevitable conflicts between these two by suggesting that measurements of student work in fine detail can be made within a practical and engaging classroom without…
Descriptors: Student Evaluation, Learner Engagement, Music Education, Foreign Countries
Shields, Julie – Communique, 2018
While working in the Social and Emotional Support Services (SESS) for Montgomery County Public Schools in Maryland (MCPS), the author initiated a project to collect data on services to students with emotional needs. During the 2016-2017 school year, MCPS was the 17th largest school district in the country with nearly 160,000 students speaking 150…
Descriptors: Technology Uses in Education, Program Administration, Database Management Systems, Psychological Needs
Mandy, William; Clarke, Kiri; McKenner, Michele; Strydom, Andre; Crabtree, Jason; Lai, Meng-Chuan; Allison, Carrie; Baron-Cohen, Simon; Skuse, David – Journal of Autism and Developmental Disorders, 2018
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)…
Descriptors: Autism, Pervasive Developmental Disorders, Adults, Diagnostic Tests
Hope, Andrew – Education and Society, 2018
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…
Descriptors: Telecommunications, Observation, Data Collection, Computer Software
Trump, Cary E.; Pennington, Robert C.; Travers, Jason C.; Ringdahl, Joel E.; Whiteside, Erinn E.; Ayres, Kevin M. – TEACHING Exceptional Children, 2018
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.…
Descriptors: Behavior Modification, Special Education, Autism, Pervasive Developmental Disorders
Jacobson, Miriam R.; Whyte, Cristina E.; Azzam, Tarek – American Journal of Evaluation, 2018
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…
Descriptors: Mixed Methods Research, Evaluation Methods, Comparative Analysis, Feedback (Response)
Whinnery, Erin – Education Commission of the States, 2018
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…
Descriptors: Prior Learning, Student Evaluation, State Policy, College Credits
Data Quality Campaign, 2018
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…
Descriptors: School Community Relationship, Partnerships in Education, State Policy, Information Dissemination
Bouchey, Heather – Vermont Agency of Education, 2018
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…
Descriptors: State Programs, Longitudinal Studies, State Policy, Program Design
Ifenthaler, Dirk; Gibson, David; Zheng, Longwei – International Association for Development of the Information Society, 2018
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.…
Descriptors: Learner Engagement, Electronic Learning, Learning Analytics, College Students
de Hoop, Thomas; Brudevold-Newman, Andrew; Davis, Dustin – American Institutes for Research, 2018
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…
Descriptors: Randomized Controlled Trials, Networks, Electronic Learning, Educational Technology
Data Quality through Data Integration: How Integrating Your IDEA Data Will Help Improve Data Quality
Sinani, Sara; Edora, Fred – Center for the Integration of IDEA Data, 2018
High-quality data is essential when looking at student-level data, including data specifically focused on students with disabilities. For state education agencies (SEAs), it is critical to have a solid foundation for how data is collected and stored to achieve high-quality data. The process of integrating the Individuals with Disabilities…
Descriptors: State Departments of Education, Databases, Information Systems, Educational Legislation

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