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Chen, Peter; Rice, Cynthia – Advocates for Children of New Jersey, 2016
Based on a 180-day school year, any student who misses 18 days or more per year--or about two days per month--is considered chronically absent. An alarming 4,328 Newark students in grades kindergarten through 3rd grade were chronically absent during the 2013-14 school year. When young students miss too much school, they will likely struggle…
Descriptors: Attendance, Attendance Patterns, Truancy, Early Childhood Education
Warner-Richter, Mallory; Lowe, Claire; Tout, Kathryn; Epstein, Dale; Li, Weilin – Child Trends, 2016
The Success By 6® (SB6) initiative is designed to support early care and education centers in improving and sustaining quality in Pennsylvania's Keystone STARS Quality Rating and Improvement System (QRIS). The SB6 evaluation report examines implementation and outcomes. The findings have implications for SB6 continous quality improvement process…
Descriptors: Success, Research Reports, Child Care Centers, Quality Assurance
Phalachandra, B.; Abeywardena, Ishan – Commonwealth of Learning, 2016
This study was conducted as part of the OER for Skills Development project of COL, supported by The William and Flora Hewlett Foundation. The objective of the study was to collect baseline data from Commonwealth institutions with respect to the development, use and reuse of OER; the availability of support; and challenges faced in fostering the…
Descriptors: Foreign Countries, Resource Units, Computer Uses in Education, Shared Resources and Services
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Ruffini, Stephen J.; Miskell, Ryan; Lindsay, Jim; McInerney, Maurice; Waite, Winsome – Regional Educational Laboratory Midwest, 2016
Many schools identified by states as needing improvement through their Elementary and Secondary Education Act waivers have selected Response to Intervention (RTI), a three-tiered instruction program sometimes referred to as tiered levels of instruction, as one of their main strategies for improving school performance and closing achievement gaps.…
Descriptors: Program Implementation, Fidelity, Response to Intervention, Public Schools
Ruffini, Steffen J.; Lindsay, Jim; Miskell, Ryan; Proger, Amy – Regional Educational Laboratory Midwest, 2016
Regional Educational Laboratory Midwest assisted Milwaukee Public Schools in developing a fidelity monitoring system for measuring schools' progress in implementing Response to Intervention (RTI). The study examined the ratings produced by that system to determine the system's reliability, schools' progress in implementing RTI, and whether ratings…
Descriptors: Program Implementation, Fidelity, Response to Intervention, Public Schools
Freeman, A.; Adams Becker, S.; Cummins, M. – New Media Consortium, 2016
The "NMC Technology Outlook for Cooperative Extension 2016-2021: A Horizon Project Sector Report" reflects a collaborative research effort between the New Media Consortium (NMC), the eXtension Foundation, and the Innovation Task Force of the Extension Committee on Organization and Policy (ECOP), the representative governing body of…
Descriptors: Technology Uses in Education, Technological Advancement, Extension Education, Educational Innovation
Jo, Yohan; Tomar, Gaurav; Ferschke, Oliver; Rosé, Carolyn P.; Gaševic, Dragan – International Educational Data Mining Society, 2016
An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For this goal in the context of social interaction in learning, we propose a three-part pipeline that includes data infrastructure, learning process…
Descriptors: Information Retrieval, Learning Processes, Interaction, Interpersonal Relationship
Dunbar, Robert L.; Dingel, Molly J.; Prat-Resina, Xavier – Journal of Learning Analytics, 2014
The disconnect between data collection and analysis across academic and administrative units within institutions of higher education makes it challenging to incorporate diverse data into curricular design. Understanding the factors related to student retention and success is unlikely to occur by focusing on only one unit at a time. By promoting…
Descriptors: Curriculum Design, Data Analysis, Data Collection, Higher Education
Ticknor, Cindy S.; Shaw, Kimberly A.; Howard, Timothy – Journal of College Reading and Learning, 2014
Many institutions struggle to develop a meaningful way to assess the effectiveness of drop-in tutorial services provided to students. This article discusses the development of a data collection system based on a visitor sign-in system that proved to be an efficient method of gathering assessment data, including frequency of visits, end-of-course…
Descriptors: Tutoring, Instructional Effectiveness, Data Collection, Efficiency
O'Neill, Barbara – Journal of Extension, 2014
Twitter is increasingly being used by Extension educators as a teaching and program-marketing tool. It is not enough, however, to simply use Twitter to disseminate information. Steps must be taken to evaluate program impact with quantitative and qualitative data. This article described the following Twitter evaluation metrics: unique hashtags,…
Descriptors: Outreach Programs, Computer Mediated Communication, Extension Education, Cooperatives
Kern, Lee; Wehby, Joseph H. – TEACHING Exceptional Children, 2014
In an earlier article (EJ1058920), Lee Kern and Joseph H. Wehby identified the reasons and process for using adaptive intensive behavioral intervention. Kern and Wehby use this article to present a fictional example of how the intervention is applied. Isaac, a 12 year old, 7th grade student at Highland Middle School, had a history of behavior…
Descriptors: Data Collection, Behavior Problems, Behavior Modification, Intervention
DiCerbo, Kristen E. – Educational Technology & Society, 2014
Interest in 21st century skills has brought concomitant interest in ways to teach and measure them. Games hold promise in these areas, but much of their potential has yet to be proven, and there are few examples of how to use the rich data from games to make inferences about players' knowledge, skills, and attributes. This article builds an…
Descriptors: Persistence, Evaluation Methods, Data Collection, Measurement Techniques
Behrens, John T.; DiCerbo, Kristen E. – Teachers College Record, 2014
Background: It would be easy to think the technological shifts in the digital revolution are simple incremental progressions in societal advancement. However, the nature of digital technology is resulting in qualitative differences in nearly all parts of daily life. Purpose: This paper investigates how the new possibilities for understanding,…
Descriptors: Educational Assessment, Technology Integration, Technology Uses in Education, Learning Activities

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