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Xing, Wanli – Distance Education, 2019
Massive open online courses (MOOCs) face persistent challenges related to student performance, including high rates of attrition and low student achievement scores. Previous studies that have examined the performance of students in MOOCs have done so using qualitative analysis and the quantitative analysis of small samples. This study is the first…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Sink, Christopher A.; Adkins, Clara; Cooney, Myya; Garverick, Tiffany – Professional School Counseling, 2019
This article addresses school counselor evidence-based accountability practice by summarizing the findings of a hands-on evaluation of readily accessible, free online accountability software that can be used for data collection, management and analysis, and presentations. Using germane school data, four preservice counselors individually rated…
Descriptors: Computer Software, Accountability, Evidence Based Practice, School Counseling
Bernstein, Sima; Barnett, W. Steven; Ackerman, Debra J. – National Institute for Early Education Research, 2019
Because pre-academic and social-emotional capabilities at kindergarten entry predict later academic and social success, there has been great concern with the level of "readiness" at kindergarten entry. Many states require a kindergarten readiness assessment (KRA). However, how readiness is defined, who or what entity is doing the…
Descriptors: School Readiness, Kindergarten, Definitions, Student Characteristics
Grama, Joanna Lyn – Institute for Higher Education Policy, 2019
Our current federal postsecondary data system is incomplete and fails to provide today's students with the accurate, timely information that they need to inform their college choices and promote their success. As policymakers consider proposals to improve this federal data system, it is critical that they work in tandem to protect students'…
Descriptors: Privacy, Information Security, Postsecondary Education, Information Systems
Advance CTE: State Leaders Connecting Learning to Work, 2019
Youth apprenticeship programs can give students access to valuable work-based learning experiences that provide insights into how their interest can connect to education and the workforce. Although these programs are often beneficial for participants, there is little data to show the programmatic landscape and impact. There are many challenges…
Descriptors: Youth Programs, Apprenticeships, Accountability, Data Collection
Donlin, Mike – Washington Office of Superintendent of Public Instruction, 2019
In 2007, the Legislature passed Senate Bill 5097, which required the Office of Superintendent of Public Instruction (OSPI) to convene a task force to examine how gangs are affecting school safety. The task force must annually report its findings and recommendations to the education committees of the Legislature. The Gangs in Schools Task Force…
Descriptors: Juvenile Gangs, Federal Legislation, School Safety, Intervention
Angela N. Givhan – ProQuest LLC, 2019
The purpose of this study was twofold. The first purpose was to analyze exit data collection systems in Mississippi school districts (including a content analysis of the instruments used to collect exit data) to determine how many districts collected data from exiting teachers. The second purpose was to examine teacher characteristics (race,…
Descriptors: Teacher Persistence, Faculty Mobility, Data Collection, Content Analysis
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Sarafoglou, Alexandra; van der Heijden, Anna; Draws, Tim; Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten – Psychology Learning and Teaching, 2022
Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we…
Descriptors: Bayesian Statistics, Thinking Skills, Undergraduate Students, Psychology
Doran, Elizabeth; Reid, Natalie; Bernstein, Sara; Nguyen, Tutrang; Dang, Myley; Li, Ann; Kopack Klein, Ashley; Rakibullah, Sharika; Scott, Myah; Cannon, Judy; Harrington, Jeff; Larson, Addison; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
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Egan, Laura; Tang, Judy H.; Ferraro, David; Erberber, Ebru; Tsokodayi, Yemurai; Stearns, Pat – National Center for Education Statistics, 2022
Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at grades 4 and 8, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student achievement. TIMSS has…
Descriptors: Achievement Tests, Mathematics Achievement, International Assessment, Foreign Countries
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Arnold, Karen D.; Owen, Laura; Lewis, Jonathan – Journal of College Access, 2020
Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…
Descriptors: Academic Advising, Telecommunications, Handheld Devices, College Bound Students
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Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses
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Edelstein, Jeffrey; Abbott, Jordan; Kimball, Ezekiel – Journal of Postsecondary Education and Disability, 2020
Disability-as-diagnosis, disability-as-identity, and disability-as-experience as pressing measurement issues in learning outcomes assessment are described in this paper. Disability represents a critically important latent variable in many learning outcomes assessment plans unless it is a formalized part of analytic plans. Noting the potential for…
Descriptors: Disabilities, Clinical Diagnosis, Identification (Psychology), Experience
Gage, Nicholas A.; Beahm, Lydia; Kaplan, Rachel; MacSuga-Gage, Ashley S.; Lee, Ahhyun – Beyond Behavior, 2020
The Positive Behavioral Interventions and Supports (PBIS) framework is currently implemented in more than 25,000 schools across the globe. Its implementation has demonstrated positive impacts on a number of behavioral and academic outcomes. A growing evidence base has found that PBIS has been particularly effective at reducing both in- and…
Descriptors: Student Behavior, Behavior Problems, Positive Behavior Supports, Intervention
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Parker, John N.; Cardenas, Edgar; Dorr, Alexander N.; Hackett, Edward J. – Sociological Methods & Research, 2020
New technologies transform research specialties and potentiate new fields. Sociometers--wearable electronic sensors collecting quantitative, dynamic data about embodied social interactions at hyperfine scales--represent such a possibility for small group research. This article introduces this new method and its distinctive qualities and…
Descriptors: Measurement Equipment, Data Collection, Group Structure, Group Dynamics
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