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OECD Publishing, 2018
The costs of persistent misalignment between the supply and demand for skills are substantial, ranging from lost wages for workers to lower productivity for firms and countries. Addressing skills imbalances has become a pressing priority as OECD governments reflect on the implications of technological progress, digitalisation, demographic change…
Descriptors: Foreign Countries, Student Evaluation, Skill Development, Alignment (Education)
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
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Zimbardi, Kirsten; Colthorpe, Kay; Dekker, Andrew; Engstrom, Craig; Bugarcic, Andrea; Worthy, Peter; Victor, Ruban; Chunduri, Prasad; Lluka, Lesley; Long, Phil – Assessment & Evaluation in Higher Education, 2017
Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Achievement Gains
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
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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
Candal, Cara Stillings – Pioneer Institute for Public Policy Research, 2016
Recent studies continue to shine light on high-performing charter schools. While Boston-area charter schools--a concentrated group of high-performers--garner more attention than others, many excellent schools outside of Boston have been quietly chipping away at the achievement gap between advantaged and disadvantaged students. One of these schools…
Descriptors: Charter Schools, Public Schools, Best Practices, School Effectiveness
Boudett, Kathryn Parker, Ed.; City, Elizabeth A., Ed.; Murnane, Richard J., Ed. – Harvard Education Press, 2013
"Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning" presents a clear and carefully tested blueprint for school leaders. It shows how examining test scores and other classroom data can become a catalyst for important schoolwide conversations that will enhance schools' abilities to capture…
Descriptors: Guides, Information Utilization, Student Evaluation, Educational Improvement
Boudett, Kathryn Parker, Ed.; City, Elizabeth A., Ed.; Murnane, Richard J., Ed. – Harvard Education Press, 2013
"Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning" presents a clear and carefully tested blueprint for school leaders. It shows how examining test scores and other classroom data can become a catalyst for important schoolwide conversations that will enhance schools' abilities to capture…
Descriptors: Guides, Data Collection, Data Analysis, Information Utilization
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Popham, W. James – Educational Leadership, 2009
Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Student Evaluation
Hill, Rebecca Sue Steffensen – ProQuest LLC, 2012
Co-teaching occurs when a special educator and a general education teacher teach together in an inclusive classroom. Co-teaching has been adopted across the United States as the solution to meet the legal mandates of No Child Left Behind and the Individuals with Disabilities Improvement Act. These pieces of legislation require schools to have…
Descriptors: Teacher Collaboration, Special Education, Inclusion, Educational Legislation
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Pemberton, Jane; Dyck, Norma; Horton, Betty; Kaff, Marilyn – Preventing School Failure, 2002
This study examined how 26 teachers in two elementary schools used performance-charted data provided by a technical support agency. Although teachers did not report using the data extensively to make explicit instructional decisions, most teachers reported using the data to verify their own observations about student progress and as a…
Descriptors: Data Analysis, Data Collection, Elementary Education, Information Utilization
Blanzy, James J.; Sucher, Joseph E. – 1992
Michigan's Macomb Community College's institutional assessment model involves using technology to collect and disseminate data on student learning in order to facilitate continuous improvement and adaptation. The first element of this five-part model is the mandatory testing, orientation, and placement of incoming students. Using placement test…
Descriptors: College Planning, Community Colleges, Computer Uses in Education, Curriculum Evaluation
Woody, Elisabeth L.; Bae, Soung; Park, Sandra; Russell, Jennifer – Policy Analysis for California Education, PACE (NJ3), 2006
Achievement gaps have real consequences for students, particularly those facing the challenge of passing the California High School Exit Exam (CAHSEE), now a requirement in order to receive a high school diploma in California. The combined 2005 CAHSEE passing rates reveal significant discrepancies between White and Asian students and their African…
Descriptors: Academic Achievement, Achievement Gap, African American Students, Hispanic American Students
Finch, Curtis R.; Frantz, Nevin R.; Mooney, Marianne; Aneke, Norbert O. – 1997
This guide focuses on two interrelated areas of developing vocational education curricula: designing a thematic curriculum and using the "all aspects of the industry" approach when creating thematic curricula. The following are among the topics discussed in the guide's eight sections: principles of the thematic curriculum and its…
Descriptors: Annotated Bibliographies, Apprenticeships, Career Academies, Class Activities
Hess-Grabill, Donella; Bueno, Soyon – 2000
This guidebook is intended as a road map to the Carl D. Perkins Vocational Technical Education Act of 1998 (Perkins III) for career-technical education (CTE) practitioners and policymakers in Illinois. The following topics are among those covered: (1) framework for Perkins III (national educational reform, Illinois provisions for quality CTE,…
Descriptors: Access to Education, Accountability, Adult Education, Career Development