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Shneyderman, Aleksandr – Research Services, Miami-Dade County Public Schools, 2019
Curriculum Associates' i-Ready is an adaptive diagnostic and individualized instructional tool that has been used in M-DCPS in the last few years. In addition, Curriculum Associates provides the District with results of their predictive model, which uses the students' outcomes on the Fall and Winter i-Ready diagnostic testing as well as the…
Descriptors: Standardized Tests, Mathematics Achievement, Language Arts, Reading Achievement
Khaleel Mohammad Abdul-Ghafa, Abdul-Qader; Alrefaee, Yasser – Online Submission, 2019
This study investigated the relationship between language learning strategies and achievement among Yemeni EFL university students. It also identified the differences between high and low achievers in using language learning strategies. Seventy students were randomly selected from the fourth level on the basis of their university scores as high…
Descriptors: Correlation, Learning Strategies, Second Language Learning, Second Language Instruction
Garron, Zella Ruth – ProQuest LLC, 2019
The problem addressed in this study was students who have not been able to demonstrate proficiency in performing mathematical computation, algebraic and geometrical reasoning, number sense proficiency and mathematical processing while in grades 3 through 8 are not prepared to successfully complete the high school high stakes Algebra 1 ECA…
Descriptors: Opportunities, Mathematics Achievement, Scores, Trend Analysis
Allensworth, Elaine M.; Clark, Kallie – University of Chicago Consortium on School Research, 2019
High school GPAs (HSGPAs) are often perceived to represent inconsistent levels of readiness for college across high schools, while test scores (e.g., ACT scores) are seen as comparable. This study tests those assumptions, examining variation across high schools of both HSGPAs and ACT scores as measures of academic readiness for college. We find…
Descriptors: Grade Point Average, High School Students, College Readiness, Scores
Hutt, Stephen; Gardner, Margo; Duckworth, Angela L.; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
We explore generalizability and fairness across sociodemographic groups for predicting on-time college graduation using a national dataset of 41,359 college applications. Our features include sociodemographics, institutional graduation rates, academic achievement, standardized test scores, engagement in extracurricular activities, and work…
Descriptors: Generalization, Predictive Measurement, College Applicants, Time to Degree
Moulton, Emily Ellen – ProQuest LLC, 2019
The purpose of this quantitative case study was to explore several variables for students with specific learning disabilities (SLDs) and their teachers at the elementary level with a large local school district. I wanted to examine the relationship between teacher perceptions of students with SLDs, academic growth, and school connectedness for…
Descriptors: Students with Disabilities, Learning Disabilities, Elementary School Students, Elementary School Teachers
Kraft, Matthew A.; Hill, Heather C. – Annenberg Institute for School Reform at Brown University, 2019
This paper describes and evaluates a web-based coaching program designed to support teachers in implementing Common Core-aligned math instruction. Web-based coaching programs can be operated at relatively lower costs, are scalable, and make it more feasible to pair teachers with coaches who have expertise in their content area and grade level.…
Descriptors: Web Based Instruction, Coaching (Performance), Mathematics Instruction, Program Effectiveness
Cornehl, Krista – ProQuest LLC, 2019
Many students are passively engaged in mathematics content across the United States because they are in classrooms that use traditional instruction methods (i.e. lecture and guided practice). Calculus is a struggle for students because of the critical thinking, conceptual understanding, and problem solving required. Active learning has been shown…
Descriptors: Blended Learning, Advanced Placement Programs, Calculus, Mathematics Achievement
Price, Lauren E.; Christian, M.; Stevens, Carla J. – Houston Independent School District, 2019
Since established by an Appropriations Act in 2006, the Teacher Incentive Fund (TIF) competitive grant program in the U.S. Department of Education (USDE) has supported human capital strategies "to ensure that students attending high-poverty schools have better access to effective teachers and principals, especially in hard-to-staff subject…
Descriptors: Incentive Grants, STEM Education, Program Evaluation, Human Capital
Betts, Julian; Hill, Laura; Bachofer, Karen; Hayes, Joseph; Lee, Andrew; Zau, Andrew – Public Policy Institute of California, 2019
This document includes two technical appendices that accompany the main report, "English Learner Trajectories and Reclassification." The two appendices include: (1) Methodology; and (2) Supporting Tables and Figures. [For the full report, see ED603764.]
Descriptors: English Language Learners, Classification, School Districts, Outcomes of Education
Livingston, Samuel A. – ETS Research Report Series, 2014
In this study, I investigated 2 procedures intended to create test-taker groups of equal ability by poststratifying on a composite variable created from demographic information. In one procedure, the stratifying variable was the composite variable that best predicted the test score. In the other procedure, the stratifying variable was the…
Descriptors: Demography, Equated Scores, Cluster Grouping, Ability Grouping
Jena, Ananta Kumar; Panda, Bhujendranath – Journal on Educational Psychology, 2017
The study aimed to know how does mind-map software assess the representation of learners' knowledge and how brain tester software assess the performance of left, right, auditory, and visual lobes of the brain to represent information. It also aimed to study the differential effectiveness of audio, visual, and audio-visual information to represent…
Descriptors: Computer Software, Cognitive Processes, Brain, Brain Hemisphere Functions
Pan, Tianshu; Yin, Yue – Applied Measurement in Education, 2017
In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach,…
Descriptors: Bayesian Statistics, Goodness of Fit, Item Response Theory, Monte Carlo Methods
Adkins, Joni K.; Linville, Diana R. – Information Systems Education Journal, 2017
This paper reports the findings of a study done to determine if increasing the number of exams in a course had an effect on student grades. Some studies have found that more frequent exams positively influence scores while other studies have found more frequent exams do not make a difference in student achievement. This study examines the impact…
Descriptors: Introductory Courses, Computer Science Education, Programming, Undergraduate Students
Mbonigaba, Josue; Oumar, Saidou B. – Africa Education Review, 2017
Whether or not the scores for multiple-choice questions (MCQs) and written questions (WQs) in formative assessments are the same, has been a subject of intense scrutiny. However, the evidence for their similarity at different levels of cognitive ability in applied courses has not been sufficiently documented. This study analysed the comparability…
Descriptors: Foreign Countries, College Students, Student Evaluation, Multiple Choice Tests

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