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Osler, James; Mutisya, Philliph M. – Journal for the Advancement of Educational Research International, 2019
Measuring the impact of teaching on learning is necessary for discerning the relative effectiveness of different teaching models and methods. Frequently this determination is restricted to hypothesis testing involving the impact of a single variable on a specific performance measure. The common approach is to compare statistics for a treatment…
Descriptors: Statistical Analysis, Mixed Methods Research, Teacher Effectiveness, Measurement
Casazza, Martha – NADE Digest, 2018
This article begins by thinking about the process of accreditation in general and examining whether it is a transactional or value-added activity. The overall systems of U.S accreditation and National Association for Developmental Education (NADE) accreditation are reviewed.
Descriptors: Accreditation (Institutions), Value Added Models, Accountability, Educational Improvement
Meyers, Coby; Proger, Amy; Abe, Yasuyo; Weinstock, Phyllis; Chan, Vincent – Regional Educational Laboratory Midwest, 2016
Many states are attempting to identify schools that perform better than schools with similar populations. Such "beating-the-odds" schools offer opportunities to identify promising practices that can be implemented by other schools serving similar populations. This study uses data from the Michigan Department of Education to demonstrate…
Descriptors: School Effectiveness, Statistical Analysis, Identification, Academic Achievement
Gyurko, Jonathan; Snow, Meghan – Change: The Magazine of Higher Learning, 2020
Recent events demonstrate the need for better pedagogical preparation, particularly for online instruction. There has been a sudden burst of professional development nationwide in light of the glaring need. But across higher education more broadly, questions still persist: Isn't teaching more art than science? Will faculty learn about and…
Descriptors: Online Courses, Educational Change, Teaching Methods, Higher Education
Hobbs, Graham – Oxford Review of Education, 2016
There are large social class inequalities in educational achievement in the UK. This paper quantifies the contribution of one mechanism to the production of these inequalities: social class differences in school "effectiveness," where "effectiveness" refers to a school's impact on pupils' educational achievement (relative to…
Descriptors: Social Class, Social Differences, Academic Achievement, Foreign Countries
Wilson-Doenges, Georjeanna – New Directions for Teaching and Learning, 2013
This chapter will provide potential models for analyzing learning data through a discussion of screening data and then analyzing that data using appropriate statistical techniques.
Descriptors: Models, Statistical Analysis, Statistical Data, Academic Achievement
Hakuta, Kenji; Pompa, Delia – Council of Chief State School Officers, 2017
Since the passage of the Every Student Succeeds Act (ESSA) in 2015, state teams have been preparing their state plans aligned with ESSA for submission in April or September 2017 to the U.S. Department of Education. Because ESSA lands much of the decision-making and responsibility in education at the state and local levels, state education leaders…
Descriptors: English Language Learners, State Programs, Accountability, Educational Legislation
Dotson, Lauren; Foley, Virginia – Journal of Learning in Higher Education, 2016
This paper provides a history of the standardized testing and accountability movement, the curriculum standards attached to the accountability movement, and the attempted shift to common core. Student poverty and its impact on student achievement the focus of this paper. Recognizing the impact of poverty on student achievement as measured by…
Descriptors: Poverty, Academic Achievement, Teacher Education Programs, Standardized Tests
Randolph, Justus J.; Falbe, Kristina; Manuel, Austin Kureethara; Balloun, Joseph L. – Practical Assessment, Research & Evaluation, 2014
Propensity score matching is a statistical technique in which a treatment case is matched with one or more control cases based on each case's propensity score. This matching can help strengthen causal arguments in quasi-experimental and observational studies by reducing selection bias. In this article we concentrate on how to conduct propensity…
Descriptors: Statistical Analysis, Probability, Experimental Groups, Control Groups
Teacher Incentive Fund, US Department of Education, 2016
The U.S. Department of Education (ED) expects all Teacher Incentive Fund (TIF) grantees to conduct an evaluation of their programs. Experience with earlier rounds of TIF grants has shown that evaluations can provide valuable information for managing and improving TIF-supported activities, as well as evidence that these activities have had a…
Descriptors: Program Evaluation, Questioning Techniques, Qualitative Research, Statistical Analysis
Lynch, David; Smith, Richard; Provost, Steven; Madden, Jake – Journal of Educational Administration, 2016
Purpose: This paper argues that in a well-organised school with strong leadership and vision coupled with a concerted effort to improve the teaching performance of each teacher, student achievement can be enhanced. The purpose of this paper is to demonstrate that while macro-effect sizes such as "whole of school" metrics are useful for…
Descriptors: Foreign Countries, Teacher Effectiveness, Academic Achievement, Data Interpretation
Ruiz-Iniesta, Almudena; Jiménez-Díaz, Guillermo; Gómez-Albarrán, Mercedes – IEEE Transactions on Education, 2014
This paper describes a knowledge-based strategy for recommending educational resources-worked problems, exercises, quiz questions, and lecture notes-to learners in the first two courses in the introductory sequence of a computer science major (CS1 and CS2). The goal of the recommendation strategy is to provide support for personalized access to…
Descriptors: Semantics, Computer Science Education, Dropout Rate, Educational Resources
Aldridge, Jill; Ala'I, Kate – Improving Schools, 2013
This article describes the development and validation of a six-scale survey to assess school climate in terms of students' perceptions of the degree to which they feel welcome and connected, together with a scale to assess students' perceptions of bullying. The development of each survey involved a multi-stage approach, including: 1) an extensive…
Descriptors: Student Attitudes, Questionnaires, Construct Validity, Predictive Validity
Davis, Elisabeth; Stephan, Jennifer L.; Lindsay, Jim; Park, So Jung – Regional Educational Laboratory Midwest, 2016
This study examined the early college success of students who graduated from an Indiana high school in 2010 and enrolled immediately in a public two-year or four-year college in Indiana. The study team identified data elements in Indiana's Student Information System that predicted the early college success of this cohort of students. Half of…
Descriptors: High School Students, Public Colleges, Predictor Variables, Academic Achievement
Ryser, Gail R.; Rambo-Hernandez, Karen E. – Gifted Child Today, 2014
Using assessment data to determine student growth has become an integral part of the accountability movement, and researchers and educators are currently examining how new rules impact the academic assessment of gifted learners. In 2008, the Association for the Gifted's Annual Symposium at the Council for Exceptional Children Convention focused on…
Descriptors: Academically Gifted, Accountability, Models, Student Development

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