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Kim, Miso – English Teaching, 2020
The purpose of this study was to analyze six English as a Foreign Language (EFL) learners' trajectories of discriminating near-synonyms in a data-driven learning task. Since the learners find it considerably difficult to learn subtle meaning differences of near-synonyms, corpus-based data-driven learning may provide an opportunity for them to…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Task Analysis
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Lasater, Kara; Albiladi, Waheeb S.; Davis, William S.; Bengtson, Ed – Educational Administration Quarterly, 2020
Purpose: The purpose of this study was to examine teachers and school leaders' experiences using data in the state of Arkansas. Research Design: Initially, an exploratory pilot study was conducted to examine educators' experiences using data within one Arkansas district. This involved focus groups with 24 participants from 10 schools. Data were…
Descriptors: Data Use, School Culture, Experience, Decision Making
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Ridings, Aaron – State Education Standard, 2020
Students who are lesbian, gay, bisexual, transgender, queer, or questioning (LGBTQ) continue to experience bullying and harassment from their peers in K-12 education. LGBTQ students experience discrimination based on their sexual orientation and gender identity, as well as intersecting identities that encompass race, disability status, ethnicity,…
Descriptors: LGBTQ People, Educational Environment, School Safety, Bullying
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Zadeh, Amir H.; Zolbanin, Hamed M.; Sengupta, Arijit; Schultz, Todd – Journal of Information Systems Education, 2020
Enterprise resource planning systems (ERP) are the most essential and critical information systems that are widely used to build all the functions of a business into a unified and efficient enterprise system. Although the essence of ERP systems are easy to understand, students, especially those who do not have technical experience, have difficulty…
Descriptors: Computer Software, Information Systems, Efficiency, Information Science Education
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Awuah, Rebecca; Gallagher, Kristel M.; Dierker, Lisa C. – Statistics Education Research Journal, 2020
To evaluate the impact of a multidisciplinary, project-based course in introductory statistics, this exploratory study examined learning experiences, feelings of confidence, and interest in future experiences with data for undergraduate students in Ghana, West Africa. Students completed a one-semester, introductory statistics course utilizing the…
Descriptors: Active Learning, Student Projects, Statistics Education, Introductory Courses
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Marland, Joshua; Harrick, Matthew; Sireci, Stephen G. – Educational and Psychological Measurement, 2020
Student assessment nonparticipation (or opt out) has increased substantially in K-12 schools in states across the country. This increase in opt out has the potential to impact achievement and growth (or value-added) measures used for educator and institutional accountability. In this simulation study, we investigated the extent to which…
Descriptors: Value Added Models, Teacher Effectiveness, Teacher Evaluation, Elementary Secondary Education
Jimenez, Laura – Center for American Progress, 2020
Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…
Descriptors: COVID-19, Pandemics, Disease Control, Well Being
Fontana, Jason; Kim, Dae; Lapp, David – Research for Action, 2020
The United States is plagued by large disparities in life outcomes between racial and ethnic groups. Researchers have documented how gaps in outcomes are related to gaps in access to opportunity, both in education and otherwise. Yet, as documented in this report, too often state policymakers still fail to provide equitable learning opportunities…
Descriptors: Equal Education, High School Students, Civil Rights, Data Collection
Perry, Angela – Institute for College Access & Success, 2020
States invest heavily in education, providing funding either directly or in the form of financial aid from preschool through college, with positive outcomes from those impacting nearly every other area of public policy, particularly the workforce. To understand and assess results, states collect and analyze information about these investments at…
Descriptors: Student Financial Aid, State Legislation, State Programs, Databases
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Herzog, Serge – New Directions for Institutional Research, 2014
Estimating the effect of campus math tutoring support, this study demonstrates the use of propensity score weighted and matched-data analysis and examines the correspondence with results from parametric regression analysis.
Descriptors: Probability, College Mathematics, Tutoring, Data Analysis
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Howell, Roy D. – Measurement: Interdisciplinary Research and Perspectives, 2014
Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…
Descriptors: Statistical Analysis, Measurement, Causal Models, Data Interpretation
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Nor, Mohamed Yusoff Mohd. – International Education Studies, 2014
In a modern society, the schools have become very important entities because they form a social institution, which interests many people and involves the role of various interest groups and stakeholders in the society. The community where a school resides and the parents of children of those who go to that school will be proud if their school if…
Descriptors: School Effectiveness, Academic Achievement, Measurement Techniques, Data
López Puga, Jorge – Teaching Statistics: An International Journal for Teachers, 2014
The aprioristic (classical, naïve and symmetric) and frequentist interpretations of probability are commonly known. Bayesian or subjective interpretation of probability is receiving increasing attention. This paper describes an activity to help students differentiate between the three types of probability interpretations.
Descriptors: Probability, Bayesian Statistics, Data Interpretation, Instructional Materials
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Sinharay, Sandip; Haberman, Shelby J. – Educational Measurement: Issues and Practice, 2014
Standard 3.9 of the Standards for Educational and Psychological Testing ([, 1999]) demands evidence of model fit when item response theory (IRT) models are employed to data from tests. Hambleton and Han ([Hambleton, R. K., 2005]) and Sinharay ([Sinharay, S., 2005]) recommended the assessment of practical significance of misfit of IRT models, but…
Descriptors: Item Response Theory, Goodness of Fit, Models, Tests
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John, Ginelle; Stage, Frances K. – New Directions for Institutional Research, 2014
Numbers of students of color enrolling in higher educational institutions is expected to increase across all racial groups. With continued increases in minority enrollments, minority-serving institutions have and will continue to play a major role in educating student of color. A large national data set was used to examine the numbers of…
Descriptors: Minority Group Students, Higher Education, Bachelors Degrees, Statistical Data
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