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Cerna, Oscar; Plancarte, Vivianna; Raufman, Julia; Mahecha-Rodriguez, Jorge – Center for the Analysis of Postsecondary Readiness, 2023
Corequisite remediation involves placing students who have been designated as underprepared directly into college-level courses with concurrent supports--such as in-class tutoring, online learning labs, or a supplemental class--rather than making them take non-credit-bearing developmental courses first. There are multiple corequisite course…
Descriptors: Student Attitudes, Student Surveys, Remedial Instruction, Models
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2021
This year's study is the 34th in a series of annual reports on trends in dropout and attrition rates in Texas public schools, with the initial attrition study released by the Intercultural Development Research Association (IDRA) in 1986. The 2018-19 study builds on a series of studies by IDRA that track the number and percent of students in Texas…
Descriptors: Public Schools, Student Attrition, Dropouts, Graduation Rate
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2021
This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…
Descriptors: Public Schools, Student Attrition, Dropout Rate, Educational Trends
Davis Jenkins; Taylor Myers; Farzana Matin – Community College Research Center, Teachers College, Columbia University, 2023
Guided pathways is arguably the most widespread whole-college community college reform movement in decades. In this report, the authors present findings from a study on the scale of adoption of guided pathways practices across community and technical colleges in three states--Ohio, Tennessee, and Washington--where there are state-level efforts to…
Descriptors: Guided Pathways, Academic Advising, College Planning, Community Colleges
Education Commission of the States, 2020
What do state policies say about how to fund postsecondary education? This 50-State Comparison answers this question by searching state statutes, state rules and regulations, enacted state budget bills, and state postsecondary education agency policies that address postsecondary education budgeting and funding. According to the content of the…
Descriptors: Educational Finance, State Aid, Educational Policy, State Policy
Brian Freeman; Supriya Tamang; Jesse Wood; Liz M. B. Yadav – Grantee Submission, 2023
The Intercultural Development Research Association (IDRA) was awarded an Education Innovation and Research (EIR) Early Phase grant from the U.S. Department of Education in 2017 to develop, implement, and test a promising program to improve student achievement and educational progress for high-need students: Reenergizing Leadership to Achieve…
Descriptors: Grants, Educational Innovation, Academic Achievement, Program Development
Bos, Johannes M.; Graczewski, Cheryl; Dhillon, Sonica; Auchstetter, Amelia; Cassasanto-Ferro, Julia; Kitmitto, Sami – American Institutes for Research, 2022
The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…
Descriptors: Program Effectiveness, Grade 9, Secondary School Students, Secondary School Teachers
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Center for Collegiate Mental Health, 2019
The 2018 Annual Report summarizes data contributed to the Center for Collegiate Mental Health (CCMH) during the 2017-2018 academic year, beginning July 1, 2017 and ending on June 30, 2018. De-identified data were contributed by 152 college and university counseling centers, describing 179,964 unique college students seeking mental health…
Descriptors: College Students, Mental Health, School Health Services, School Counseling
Gutierrez, Emily; Blagg, Kristin; Chingos, Matthew M. – Urban Institute, 2022
Most researchers and policymakers rely on the share of students eligible for free and reduced-price meals when describing student socioeconomic background in schools. But shares of students receiving free and reduced-price meals, and other measures related to the distribution of school meals, vary by state and across time because of changes in…
Descriptors: Poverty, Low Income Students, Urban Schools, Measurement Techniques
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Kagnici, Aysegül; Sadi, Özlem – Journal of Inquiry Based Activities, 2019
The purpose of this study is to introduce an activity which has been designed in accordance with Science, Technology, Engineering, Mathematics (STEM) education within the scope of 5E learning model and to present the implementation steps of it. The activity plan is on the topics of Nerves, Hormones and Homeostasis in Human Physiology Unit in 11th…
Descriptors: STEM Education, Learning Activities, Physiology, Science Instruction
Sanders, Ben – National Centre for Vocational Education Research (NCVER), 2018
The National Student Outcomes Survey (SOS) collects information about students who completed their vocational education and training (VET) in the previous calendar year. The gathered information on the surveyed VET students includes their reasons for training, employment outcomes, satisfaction with training, and further study outcomes. The survey…
Descriptors: Outcomes of Education, Outcome Measures, Student Surveys, National Surveys
Center for Community College Student Engagement, 2018
Advising is powerful because it attends to core elements of each student's success: setting academic goals based on transfer and/or career interests, developing an academic plan to attain those goals, and staying on track until those goals are met. Each of these big-picture tasks encompasses dozens of smaller ones which include: (1) Raising…
Descriptors: Community Colleges, Academic Advising, Learner Engagement, School Support
Lamb, Lindsay M. – Online Submission, 2017
This report describes characteristics of the 11 model SEL schools in AISD and compares them to nonmodel SEL schools.
Descriptors: Social Emotional Learning, Institutional Characteristics, Models, Elementary Schools
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Stuebing, Karla K.; Barth, Amy E.; Trahan, Lisa H.; Reddy, Radhika R.; Miciak, Jeremy; Fletcher, Jack M. – Review of Educational Research, 2015
We conducted a meta-analysis of 28 studies comprising 39 samples to ask the question, "What is the magnitude of the association between various baseline child cognitive characteristics and response to reading intervention?" Studies were located via literature searches, contact with researchers in the field, and review of references from…
Descriptors: Meta Analysis, Response to Intervention, At Risk Students, Elementary School Students
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