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Svinicki, Marilla D.; Williams, Kyle; Rackley, Kadie; Sanders, Anke J. Z.; Pine, Lisa; Stewart, Julie – International Journal for the Scholarship of Teaching and Learning, 2016
Much is being said in education about the value of adopting data-based or analytics approaches to instructional improvement. One important group of stakeholders in this effort is the faculty. "In many cases, the key constituency group is faculty, whose powerful voice and genuine participation often determine the success or failure of…
Descriptors: Instructional Improvement, Performance Factors, Student Records, Information Utilization
Lawn, Martin, Ed. – Symposium Books, 2013
The growth of education systems and the construction of the state have always been connected. The processes of governing education systems always utilized data through a range of administrative records, pupil testing, efficiency surveys and international projects. By the late twentieth century, quantitative data had gained enormous influence in…
Descriptors: Data, Information Utilization, Visualization, Data Collection
Smith, Kelly – Industry and Higher Education, 2015
Policy makers and others charged with driving economic growth often assume a link between entrepreneurship education and business start-up. However, there is little by way of supporting literature in this regard, with few studies exploring impact measures that relate to actual venture creation. This paper considers two routinely collected data…
Descriptors: Foreign Countries, Entrepreneurship, Business Administration Education, Higher Education
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
OECD Publishing, 2016
Digitalisation, globalisation, demographic shifts and other changes in work organisation are constantly reshaping skill needs. This can lead to persistent skill shortages and mismatch which are costly for individuals, firms and society in terms of lost wages and lower productivity and growth. These costs can be reduced through better assessment…
Descriptors: Skill Development, Skill Analysis, Needs Assessment, Labor Market
Pearson, Denise; Armstrong, John – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…
Descriptors: Data, State Policy, Educational Policy, Data Collection
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
Slavit, David; Nelson, Tamara Holmlund; Deuel, Angie – Journal of Teacher Education, 2013
This article measures and discusses six teacher groups' (a) time spent working with data and (b) time devoted to particular kinds of inquiry activities, and explores various contextual factors that influence these results. The authors make use of a framework useful in describing and analyzing the stance taken by teachers when they engage with…
Descriptors: Data, Teacher Collaboration, Inquiry, Data Collection
Slaven, Chip – Alliance for Excellent Education, 2015
Schools have long collected information about students, from basic emergency contact details to daily attendance statistics. But only recently have schools used education technology to collect solid, reliable information (or data) about how students learn--as well as details about their strengths, challenges, and individual traits that impact…
Descriptors: Data, Learning, Students, Data Collection
Lindsay, Jim; Wan, Yinmei; Berg-Jacobson, Alexander; Walston, Jill; Redford, Jeremy – Regional Educational Laboratory Midwest, 2016
Every year the U.S. Department of Education reports for each state in the country the grade levels, subject areas, and geographic areas that have experienced teacher shortages (U.S. Department of Education, Office of Postsecondary Education, 2015). A teacher shortage occurs when the number of teachers available in a specific grade, subject matter…
Descriptors: Teacher Supply and Demand, Teacher Shortage, State Legislation, Surveys
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
Flaherty, Bill – School Business Affairs, 2013
Data-mining systems provide a variety of opportunities for school district personnel to streamline operations and focus on student achievement. This article describes the value of data mining for school personnel, finance departments, teacher evaluations, and in the classroom. It suggests that much could be learned about district practices if one…
Descriptors: Data Collection, Information Management, Systems Approach, Information Utilization
Rienties, Bart; Cross, Simon; Marsh, Vicky; Ullmann, Thomas – Open Learning, 2017
Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…
Descriptors: Foreign Countries, Distance Education, Data Collection, Data Interpretation
Wymbs, Cliff – Journal of Information Systems Education, 2016
The designing of a new, potentially disruptive, curricular program, is not without challenges; however, it can be rewarding for students, faculty, and employers and serve as a template for other academics to follow. To be effective, the new data analytics program should be driven by business input and academic leadership that incorporates…
Descriptors: Undergraduate Students, Business Administration Education, Educational Innovation, Curriculum Design
Candal, Cara Stillings – Pioneer Institute for Public Policy Research, 2016
Holyoke Community Charter School (HCCS) provides high quality educational opportunities to students and families in a city where such opportunities are not widely available. A long waitlist, high lottery subscription, and low attrition rate are all evidence of community demand for the school. Student outcomes that surpass the district of Holyoke…
Descriptors: Charter Schools, Public Schools, Best Practices, Data Collection

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