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Braunack-Mayer, Annette J.; Street, Jackie M.; Tooher, Rebecca; Feng, Xiaolin; Scharling-Gamba, Katrine – Review of Educational Research, 2020
While universities routinely use student data to monitor and predict student performance, there has been limited engagement with student and staff views, social and ethical issues, policy development, and ethical guidance. We reviewed peer-reviewed and grey-literature articles of 2007 to 2018 describing the perspectives of staff and students in…
Descriptors: Student Attitudes, Teacher Attitudes, Data Analysis, Ethics
International Association for the Evaluation of Educational Achievement, 2022
The Responses to Educational Disruption Survey (REDS), conducted by the International Association for the Evaluation of Educational Achievement (IEA), studied how teaching and learning were affected by the disruptions caused by COVID-19 and aimed to paint a picture of national responses to the global pandemic. REDS was based on the premise that…
Descriptors: Teaching Methods, Learning Processes, Principals, Administrator Attitudes
Mangaroska, Katerina; Giannakos, Michail – IEEE Transactions on Learning Technologies, 2019
As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research. This paper intends to summarize the main outcomes of a systematic review of empirical evidence on learning analytics for learning design. Moreover, this paper presents an overview of what and…
Descriptors: Data Analysis, Instructional Design, Learning Activities, Databases
Armitage, Emma; Lau, Caroline – Assessment in Education: Principles, Policy & Practice, 2018
In England accountability measures have often been used to steer school behaviour in pursuit of policy goals. In 2010, the English Baccalaureate (EBacc) was introduced to increase uptake of traditional academic subjects at GCSE. These subjects, it was argued, would enhance students' future prospects, in part because they are favoured at A-level by…
Descriptors: Accountability, Grades (Scholastic), Access to Education, Hierarchical Linear Modeling
Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
Brese, Falk; Jung, Michael; Mirazchiyski, Plamen; Schulz, Wolfram; Zuehlke, Olaf – International Association for the Evaluation of Educational Achievement, 2011
The International Civic and Citizenship Education Study (ICCS) 2009 studied the ways in which countries prepare their young people to undertake their roles as citizens. ICCS 2009 was based on the premise that preparing students for citizenship roles involves helping them develop relevant knowledge and understanding and form positive attitudes…
Descriptors: Foreign Countries, Civics, Citizenship Education, Academic Achievement
Miller, Tiffany D.; Hanna, Robert – Center for American Progress, 2014
Race to the Top (RTT) is a first-of-its kind $4.35 billion competitive grant program designed to spur state-level education innovation to boost student achievement, close achievement gaps, and prepare students for college and careers. Originally authorized in 2009 under the American Recovery and Reinvestment Act, RTT encourages states to develop…
Descriptors: Federal Legislation, Educational Legislation, Federal Programs, Federal Aid
Richardson, Michelle; Abraham, Charles; Bond, Rod – Psychological Bulletin, 2012
A review of 13 years of research into antecedents of university students' grade point average (GPA) scores generated the following: a comprehensive, conceptual map of known correlates of tertiary GPA; assessment of the magnitude of average, weighted correlations with GPA; and tests of multivariate models of GPA correlates within and across…
Descriptors: Personality Traits, Grade Point Average, Self Efficacy, Academic Achievement
Foy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
TIMSS measures trends in mathematics and science achievement at the fourth and eighth grades in participating countries around the world, while also monitoring curricular implementation and identifying promising instructional practices. Conducted on a regular 4-year cycle, TIMSS has
assessed mathematics and science in 1995, 1999, 2003, 2007, and…
Descriptors: Academic Achievement, Guides, Databases, International Studies
Farbman, David A. – Education Digest: Essential Readings Condensed for Quick Review, 2010
This article presents a report on expanded-time (ET) schools in America produced by the National Center on Time & Learning (NCTL), with the support of the William and Flora Hewlett Foundation. Extracting and analyzing information from NCTL's database of 655 schools, this report describes trends emerging among these schools, including issues…
Descriptors: Academic Achievement, Data Analysis, Databases, Time Management
A New Student Performance Analysing System Using Knowledge Discovery in Higher Educational Databases
Guruler, Huseyin; Istanbullu, Ayhan; Karahasan, Mehmet – Computers & Education, 2010
Knowledge discovery is a wide ranged process including data mining, which is used to find out meaningful and useful patterns in large amounts of data. In order to explore the factors having impact on the success of university students, knowledge discovery software, called MUSKUP, has been developed and tested on student data. In this system a…
Descriptors: Income, Computer Software, Databases, Data Analysis
Smith, Theodore Scott; Manuel, Nancy; Stokes, Billy R. – Learning Disabilities: A Multidisciplinary Journal, 2012
This study compared differences in diploma and graduation dropout rates among students with and without disabilities, analyzed differences in various graduation-types by disabilities, and offered recommendations to improve graduation rates through evidence-based practices. The geographic catchment area of this study was limited to twelve Southern…
Descriptors: Disabilities, Evidence, Outcomes of Education, Geographic Regions
Seaton, Marjorie; Marsh, Herbert W.; Yeung, Alexander Seeshing; Craven, Rhonda – Australian Journal of Education, 2011
Big-fish-little-pond effect (BFLPE) research has demonstrated that academic self-concept is negatively affected by attending high-ability schools. This article examines data from large, representative samples of 15-year-olds from each Australian state, based on the three Program for International Student Assessment (PISA) databases that focus on…
Descriptors: Foreign Countries, Educational Research, Secondary School Students, Academic Ability
Rutkowski, Leslie; Gonzalez, Eugenio; Joncas, Marc; von Davier, Matthias – Educational Researcher, 2010
The technical complexities and sheer size of international large-scale assessment (LSA) databases often cause hesitation on the part of the applied researcher interested in analyzing them. Further, inappropriate choice or application of statistical methods is a common problem in applied research using these databases. This article serves as a…
Descriptors: Research Methodology, Measures (Individuals), Data Analysis, Databases