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What Works Clearinghouse, 2017
When reviewing single-case design research, the What Works Clearinghouse (WWC) first reviews each single-case design experiment within a study (or research article) to determine whether it meets standards. For each experiment that meets standards, the WWC then uses visual analysis to characterize the evidence of a causal relationship. The WWC…
Descriptors: Guidelines, Research Reports, Visual Aids, Data Interpretation
Schles, Rachel Anne – Journal of Visual Impairment & Blindness, 2021
Introduction: The purpose of this study was to determine how many young children and students (birth to 22 years old) were identified with visual impairments and receiving special education services in the United States. Professionals estimate at least 50% of students with visual impairments have additional disabilities and are not identified as…
Descriptors: Visual Impairments, Children, Adolescents, Young Adults
Weiand, Augusto; Manssour, Isabel Harb; Silveira, Milene Selbach – International Journal of Distance Education Technologies, 2019
With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…
Descriptors: Foreign Countries, Distance Education, Online Courses, Visualization
Kohe, Geoffery Z.; Purdy, Laura G. – Sport, Education and Society, 2019
The proliferation of sports science and technological innovation within performance settings has precipitated the generation of increasing volumes of data to aid athletes. Copious data production has also perpetuated the privileging of scientific information, and a 'thirst' for 'more data' as an unproblematic 'truth'. Of significance is not merely…
Descriptors: Data Analysis, Data Use, Athletes, Athletics
Williamson, Ben – British Journal of Educational Technology, 2019
Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…
Descriptors: Foreign Countries, Higher Education, Technology Uses in Education, Data Analysis
Berens, Johannes; Schneider, Kerstin; Gortz, Simon; Oster, Simon; Burghoff, Julian – Journal of Educational Data Mining, 2019
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…
Descriptors: Risk Management, At Risk Students, Dropout Prevention, College Students
Zhang, Zheng; Nagle, Joelle; McKishnie, Bethany; Lin, Zhen; Li, Wanjing – Pedagogies: An International Journal, 2019
This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…
Descriptors: Multiple Literacies, Educational Research, Data Collection, Data Analysis
Conley, Kathleen M.; Horner, Robert H.; McIntosh, Kent – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
A core feature of Positive Behavioral Interventions and Supports (PBIS) is the collection, summary, and use of data for iterative decision-making. The initial design of support and the adaptations that make behavior support match cultural, organizational, and personal needs require that a support team have functional information to guide…
Descriptors: Positive Behavior Supports, Elementary School Students, Decision Making, Progress Monitoring
Huie, Stephanie Bond; Troutman, David R. – Institute for Higher Education Policy, 2019
Accurate, timely data on student outcomes and post-graduate earnings is a critical piece of any state effort to close equity gaps in college access and success, boost attainment statewide, and strategically align education and workforce goals. Unfortunately, in the absence of a federal student-level data network, states and other key stakeholders…
Descriptors: Universities, Government School Relationship, Partnerships in Education, Data Collection
Chelsea Hetherington; Cheryl Eschbach; Courtney Cuthbertson – Journal of Human Sciences & Extension, 2019
Evaluation capacity building (ECB) is an essential element for generating credible and actionable evidence on Extension programs. This paper offers a discussion of ECB efforts in Cooperative Extension and how such efforts enable Extension professionals to collect and use credible and actionable evidence on the quality and impacts of programs.…
Descriptors: Cooperative Education, Extension Education, Capacity Building, Program Evaluation
Rioux, Charlie; Little, Todd D. – International Journal of Behavioral Development, 2021
Missing data are ubiquitous in studies examining preventive interventions. This missing data need to be handled appropriately for data analyses to yield unbiased results. After a brief discussion of missing data mechanisms, inappropriate missing data treatments and appropriate missing data treatments, we review the current state of missing data…
Descriptors: Prevention, Intervention, Data Analysis, Correlation
Jonsdottir, Anna H.; Lentin, Jamie; Calian, Violeta; Hafsteinsson, Eggert K.; Stefansson, Gunnar – Teaching Statistics: An International Journal for Teachers, 2021
The tutor-web is an open-source learning environment designed to be used for teaching mathematics and statistics. The system offers thousands of exercises at high school and university level, and has been used for a decade to teach introductory statistics courses with good results. A new component has recently been added to the tutor-web so that…
Descriptors: Data Use, Statistics Education, Web Based Instruction, Educational Environment
Szymanska, Agnieszka; Aranowska, Elzbieta – Early Child Development and Care, 2021
The aim of the research was to determine what relations occur between the stress experienced by parents in the relationship with their children and the personality traits that they shape in them. Personal characteristics that parents shape in their children have been classified into metatraits described in the Circumplex of Personality model. The…
Descriptors: Parents, Stress Variables, Parent Child Relationship, Personality Traits
Prescott, Brian T. – Change: The Magazine of Higher Learning, 2021
A "Cone of Uncertainty" has become ubiquitous in hurricane forecasting, encompassing the likeliest possible path that a storm might take as it approaches landfall. These forecasts are crucial because they help government agencies at all levels prepare even in these far-from-certain future conditions. Although individual institutions have…
Descriptors: Educational Planning, COVID-19, Pandemics, Decision Making
White, Simone – Teaching Education, 2021
The increasing datafication of teachers' work and schooling practices as evidenced through various metrics of student testing and school improvement measures have continued to grow unabated across many OECD Countries. Such practices have been fuelled by global competition for league tables such as the Programme for International Student Assessment…
Descriptors: Foreign Countries, Educational Research, Data, Standards