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Burkholder, Eric W.; Wieman, Carl E. – Physical Review Physics Education Research, 2019
We examined the variation in Force and Motion Conceptual Evaluation (FMCE) preclass scores according to the type of physics class a student had in high school. This was done for students who had taken Physics 1 at a highly selective university. The majority of students had taken an Advanced Placement (AP) physics course, allowing us to examine in…
Descriptors: Physics, Advanced Placement Programs, Science Instruction, Science Tests
Allen, Jeff; Radunzel, Justine; Ling, Jizhi – ACT, Inc., 2019
The authors examined the relationships of ACT Aspire test scores and high school course grades, AP test scores, and Partnership for Assessment of Readiness for College and Careers (PARCC) test scores, demonstrating criterion-related as well as convergent and discriminant validity evidence. They found that ACT Aspire test scores are strong…
Descriptors: Scores, Grades (Scholastic), Predictor Variables, Advanced Placement Programs
Saavedra, Anna Rosefsky; Lock Morgan, Kari; Liu, Ying; Garland, Marshall W.; Rapaport, Amie; Hu, Alyssa; Hoepfner, Danial; Haderlein, Shira Korn – Educational Evaluation and Policy Analysis, 2022
Harnessing a cluster randomized controlled trial, we estimated the impact on students' advanced placement (AP) examination performance of a project-based learning (PBL) approach to AP compared with a lecture-based AP approach. Through PBL, teachers primarily play a facilitator role, while students work on complex tasks organized around central…
Descriptors: Advanced Placement Programs, Student Projects, Active Learning, Tests
Phelan, Julia; Egger, Jeffrey; Michiuye, Joanne K.; Keum, Eunhee; Choi, Kilchan; Chung, Gregory K. W. K.; Baker, Eva L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2018
The National Math + Science Initiative's (NMSI's) College Readiness Program (CRP) is an established program whose goal is to promote science, technology, engineering, and mathematics education in high schools to improve students' readiness for college. The program provides teacher, student, and school supports to promote high school students'…
Descriptors: Program Implementation, Program Evaluation, College Readiness, STEM Education
Brown, Richard S.; Choi, Kilchan – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2015
This study employs a potential outcomes modeling approach to estimate the causal effect of the National Math + Science Initiative's College Readiness Program on Advanced Placement test taking and qualifying score earning for three recent cohorts of schools. Results indicate substantial and significant increases in both AP test taking and…
Descriptors: College Programs, College Readiness, Advanced Placement Programs, Scores
Belcher, Nathan Tillman – ProQuest LLC, 2017
This action research study used data from multiple assessments in Mechanics and Electricity and Magnetism to determine the viability of Modeling Instruction as a pedagogy for students in AP Physics C: Mechanics and Electricity and Magnetism. Modeling Instruction is a guided-inquiry approach to teaching science in which students progress through…
Descriptors: Science Instruction, Physics, Advanced Placement Programs, Mechanics (Physics)
Kaput, Krista – Education Evolving, 2018
The School Quality or Student Success (SQ/SS) indicator was one of the most talked about and biggest decisions that fell to the states in drafting their new ESSA accountability plans. This memo summarizes the chosen SQ/SS measures for each state, DC, and Puerto Rico. The most common SQ/SS measures among the states are: (1) Chronic Absenteeism (37…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Educational Quality
Houston Independent School District, 2017
The Advancement Via Individual Determination (AVID) program was developed to increase the number of secondary students who participate in rigorous academic courses, to accelerate student learning, and to improve student performance. The AVID program in the Houston Independent School District (HISD) targets students who (1) are in the academic…
Descriptors: Secondary School Students, College Bound Students, School Districts, Acceleration (Education)
Ramsey, Susan Brady – ProQuest LLC, 2012
The purpose of this study is to examine the effectiveness of the National Math and Science Initiative's Advanced Placement Training and Incentive Program (APTIP) on the number of students taking AP science courses and their performance. The study evaluated 39 schools over a six-year period in six states that participate in the APTIP. The…
Descriptors: Advanced Placement Programs, Enrollment, Advanced Students, Science Tests
Loveless, Tom – Brookings Institution, 2016
The 2016 edition of the Brown Center Report (BCR) is number five in the third volume and the 15th issue overall. As is customary, this year's BCR contains three studies. Part one is on the Common Core State Standards (CCSS) and instruction in math and reading. National Assessment of Educational Progress (NAEP) data indicate that nonfiction is…
Descriptors: Common Core State Standards, Reading Achievement, Mathematics Achievement, Advanced Placement Programs
Gaubatz, Julie – Science Educator, 2013
Studies of high-school science course sequences have been limited primarily to a small number of site-specific investigations comparing traditional science sequences (e.g., Biology-Chemistry-Physics: BCP) to various Physics First-influenced sequences (Physics-Chemistry-Biology: PCB). The present study summarizes a five-year program evaluation…
Descriptors: Secondary School Science, Program Evaluation, Science Curriculum, Curriculum Evaluation
Hendrickson, Amy; Patterson, Brian; Melican, Gerald – College Board, 2008
Presented at the Annual National Council on Measurement in Education (NCME) in New York in March 2008. This presentation explores how different item weighting can affect the effective weights, validity coefficents and test reliability of composite scores among test takers.
Descriptors: Multiple Choice Tests, Test Format, Test Validity, Test Reliability

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