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Tzung-Ruei Tsou – SAGE Open, 2024
The importance of family background in determining a student's academic achievement has long been acknowledged by researchers. Nonetheless, the effect of schooling on this relationship has also been widely investigated. Some studies have shown that family background plays a far stronger role while the effect of schooling is minimal; others have…
Descriptors: Foreign Countries, Family Characteristics, Academic Achievement, Institutional Characteristics
Miranda, Chandler P.; Jaffe-Walter, Reva – Journal of Cases in Educational Leadership, 2018
Drawing on ethnographic research from a small urban high school serving predominantly low-income students in a large northeastern city, this case explores how a school leader seeks to improve the school's graduation rates by analyzing student data. It asks readers to consider the overall organization of the meeting, the role of the principal, the…
Descriptors: Teacher Collaboration, Data, Urban Schools, Graduation Rate
Bülbül, M. S. – Themes in Science and Technology Education, 2015
This article proposes a methodology that could assist teachers in understanding their students' primary needs or interests to decide on the kind of examples or contexts to be used in the classroom. The methodology was tested on 100 volunteers from university (N = 50) and high school (N = 50) in Ankara, Turkey. The participants were asked to write…
Descriptors: Data, Physics, Science Instruction, College Science
Chin, Doris B.; Blair, Kristen P.; Schwartz, Daniel L. – Technology, Knowledge and Learning, 2016
In partnership with both formal and informal learning institutions, researchers have been building a suite of online games, called choicelets, to serve as interactive assessments of learning skills, e.g. critical thinking or seeking feedback. Unlike more traditional assessments, which take a retrospective, knowledge-based view of learning,…
Descriptors: Educational Games, Computer Games, Selection, Problem Solving
Allen, Jeff – Applied Measurement in Education, 2017
Using a sample of schools testing annually in grades 9-11 with a vertically linked series of assessments, a latent growth curve model is used to model test scores with student intercepts and slopes nested within school. Missed assessments can occur because of student mobility, student dropout, absenteeism, and other reasons. Missing data…
Descriptors: Achievement Gains, Academic Achievement, Growth Models, Scores
National Oceanic and Atmospheric Administration, 2011
This curriculum module is designed for students who are taking high school chemistry. Students should already have some experience with the following: (1) Understanding and reading the pH scale; (2) Knowledge of the carbon cycle; (3) Using scientific notation to express large and small values; and (4) Reading chemical equations. This curriculum…
Descriptors: Chemistry, Secondary School Science, Oceanography, High School Students
Miles, Eva – ProQuest LLC, 2013
The purpose of this study was to examine the impact of open enrollment, curriculum alignment, and data-driven instruction on the test performance of English Language Learners (ELLs) and Re-designated Fluent English Proficient students (RFEPs) at Shangri-la High School. Participants of this study consisted of the student population enrolled in…
Descriptors: Open Enrollment, Admission (School), Alignment (Education), Curriculum Design
Mukherjee, Anirban; Garain, Utpal; Biswas, Arindam – Educational Technology & Society, 2014
Diagram describing texts are integral part of science and engineering subjects including geometry, physics, engineering drawing, etc. In order to understand such text, one, at first, tries to draw or perceive the underlying diagram. For perception of the blind students such diagrams need to be drawn in some non-visual accessible form like tactile…
Descriptors: Teaching Methods, Blindness, Science Education, Maps
Pon, Kathleen – ProQuest LLC, 2013
This mixed design study investigated the predictive and instructional uses of two different types of interim mathematics assessments given in two different districts. One district administered the same summative type of assessment three times a year, while the other district administered a different interim assessment after six-week intervals of…
Descriptors: Mathematics Tests, Formative Evaluation, Summative Evaluation, Mixed Methods Research
Kensler, Lisa A. W.; Reames, Ellen; Murray, John; Patrick, Lynne – High School Journal, 2012
Teachers and administrators have access to large volumes of data but research suggests that they lack the skills to use data effectively for continuous school improvement. This study involved a cross-case analysis of two high school leadership teams' early stages of evidence-based practice development; differing forms of external support were…
Descriptors: Evidence, Communities of Practice, Educational Change, Data
Bernstein, Alan – Principal Leadership, 2006
Many school districts are putting data to good use, although much of the data used in administrative decision making ultimately derives from standardized test scores, which raises a host of other related concerns. The author's purpose in this article is not to critique the types or sources of data that administrators use, but to suggest that there…
Descriptors: Vocational Schools, Standardized Tests, Academic Achievement, Data Analysis
Bowers, Alex J. – Journal of Educational Administration, 2009
Purpose: Much of the recent research on data-driven decision making in US schools has focused on standardized test scores while other forms of data in schools have gone largely unexamined as useful data, such as teacher-assigned grades. Based on the literature, the theory outlined in this paper is that grades, as data historically overlooked in…
Descriptors: Grades (Scholastic), Data, Decision Making, Standardized Tests
Hess, Robert T.; Robbins, Pam – Corwin, 2012
Using data for school improvement is a key goal of Race to the Top, and now is the time to make data-driven school improvement a priority. However, many educators are drowning in data. Boost your professional learning community's ability to translate data into action with this new book from Pam Robbins and Robert T. Hess. "The Data Toolkit"…
Descriptors: Data, Educational Improvement, Educational Change, Teamwork
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries