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Petersen, Amanda J. – Wilder Research, 2019
Positive Behavioral Interventions and Supports (PBIS) is an evidence-based approach to addressing behavior issues in schools. A significant amount of research has been done to identify the critical features of PBIS. More generally, implementation science points to a specific sequence to ensure that PBIS is implemented with fidelity. This spring…
Descriptors: Positive Behavior Supports, Program Implementation, Fidelity, Scores
Kennedy, Mary Lee, Ed. – Association of Research Libraries, 2019
This issue of Research Library Issues looks at the critical role and participation of libraries and librarians in supporting the data science revolution. The articles contained in this issue are: (1) Data Literacy as a Pathway to Data Science at Georgia Tech (Catherine Murray-Rust, with Ameet Doshi, Jay Forrest, Ximin Mi, and Alison Valk); (2) New…
Descriptors: Research Libraries, Academic Libraries, Educational Trends, Data Analysis
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Zilvinskis, John – Journal of Postsecondary Education and Disability, 2020
Each year hundreds of institutions will administer national surveys to measure the engagement of their students. However, stakeholders on college campuses, such as educators (faculty, instructors, student affairs educators, and disability services administrators) and institutional research staff who work with this information are often unaware of…
Descriptors: Students with Disabilities, Data Collection, Data Use, Student Needs
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Mannino, Michael V.; Khojah, Mohammed; Gregg, Dawn G. – Journal of Information Systems Education, 2021
This paper describes an innovative approach for teaching the challenges in the management of data warehouse development. The approach contains lecture material providing conceptual background about the management of data warehouse development, a simulation game supporting experiential learning, and a post-play debriefing to support synthesis of…
Descriptors: Game Based Learning, Simulation, Data Analysis, Teaching Methods
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Vittorini, Pierpaolo; Menini, Stefano; Tonelli, Sara – International Journal of Artificial Intelligence in Education, 2021
Massive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper…
Descriptors: Artificial Intelligence, Formative Evaluation, Summative Evaluation, Data
Wallace Foundation, 2021
The American Rescue Plan Act has made funds available to states and districts to speed up recovery from the effects of COVID-19, including addressing learning loss. The Wallace Foundation has distilled evidence from its work that may be helpful in informing choices about how to spend those funds, as well as how to implement key strategies.…
Descriptors: COVID-19, Pandemics, School Closing, After School Programs
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Maxwell, Bronwen; Stevens, Anna; Demack, Sean; Coldwell, Mike; Wolstenholme, Claire; Reaney-Wood, Sarah; Stiell, Bernadette; Lortie-Forgues, Hugues – Education Endowment Foundation, 2021
The Education Endowment Foundation (EEF)'s mission is to break the link between family income and educational achievement. This is achieved through summarising the best available evidence in plain language, generating new evidence of 'what works' to improve teaching and learning, and supporting teachers and school leaders to use research evidence…
Descriptors: Foreign Countries, Disadvantaged Youth, Elementary School Students, Secondary School Students
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Saldanha, Luis; Hatfield, Neil – Canadian Journal of Science, Mathematics and Technology Education, 2021
Six 7th-grade students engaged with an instructional sequence involving the use of the "TinkerPlots" software to organize data sets in ways intended to help them construe two attributes: the location of quarters of the data within a sub-range of the entire set, and the spread of those portions. We present evidence of students' thinking…
Descriptors: Middle School Students, Grade 7, Computer Software, Statistics
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Gaftandzhieva, Silvia; Docheva, Mariya; Doneva, Rositsa – Education and Information Technologies, 2021
Many educational institutions use a large number of information systems to automate their activities for different stakeholders' groups -- learning management systems, student diary, library system, digital repositories, management system, etc. This leads to a significant increase in the volume and variety of data that can be captured, stored, and…
Descriptors: Foreign Countries, Learning Analytics, Secondary Education, Stakeholders
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Leighton, Jacqueline P. – Applied Measurement in Education, 2021
The objective of this paper is to comment on the think-aloud methods presented in the three papers included in this special issue. The commentary offered stems from the author's own psychological investigations of unobservable information processes and the conditions under which the most defensible claims can be advanced. The structure of this…
Descriptors: Protocol Analysis, Data Collection, Test Construction, Test Validity
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DuBay, Michaela; Watson, Linda R.; Baranek, Grace T.; Lee, Helen; Rojevic, Carolina; Brinson, William; Smith, Danna; Sideris, John – Journal of Autism and Developmental Disorders, 2021
Screening tools for autism spectrum disorders serve a vital role in early identification of all children who may need evaluation and support. Recent studies suggest that traditional methods used in this field to translate such tools may be insufficient for maintaining linguistic, construct, or technical equivalence, resulting in screening tools…
Descriptors: Autism, Screening Tests, Identification, Translation
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Sekerci, Reyhan; Karatas, Süleyman; Güven, Beyhan; Demir, Levent; Güven, Alper – International Journal of Educational Administration and Policy Studies, 2021
Data mining in education predictions are made about other groups based on the big data of education. However, the extent to which training data can be accessed is relative. A group that can be described as missing data is children living or working on the street. For this reason this study aimed to deal with children working or living on the…
Descriptors: Data Analysis, Homeless People, Children, Social Problems
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Gherardi, Silvia; Benozzo, Angelo – Studies in Continuing Education, 2021
This paper dwells on the metaphor of "shadow organising" for exploring what happens in the space of the 'not-yet data'. It wonders what we do to 'data' and what 'data' do to us, to our subjectivities as professionals. It deals with elusive knowledges and how professionals construct what counts as 'data' and what is discarded as…
Descriptors: Data, Researchers, Research Methodology, Figurative Language
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Santana López, Alejandra; Reininger, Taly; Saracostti, Mahia – Leadership and Policy in Schools, 2021
The use of data in schools may contribute to reducing educational and social inequalities. This article seeks to examine the use of data in school intervention programs implemented within vulnerable schools in Chile and the transfer and use of this data by schools. Utilizing an exploratory descriptive multiple case study design. Results indicate…
Descriptors: Data Use, Intervention, Foreign Countries, Disadvantaged Schools
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Wang, Wei-Jhih; Devine, Beth; Bansal, Aasthaa; White, H. Steve; Basu, Anirban – Research Synthesis Methods, 2021
Meta-analyzing count data can be challenging when follow-up time varies across studies. Simply pooling aggregate data over time-periods would result in biased estimates, which may erroneously inform clinical decision-making. In this study, we exploit the convolution property of the Poisson distribution to develop a likelihood for observed…
Descriptors: Meta Analysis, Data, Statistical Distributions, Computation
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