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Fink, John; Myers, Taylor; Sparks, Daniel; Jaggars, Shanna – Community College Research Center, Teachers College, Columbia University, 2021
Nearly two decades into the "completion agenda" in higher education, many community colleges have adopted collegewide reforms designed to improve stubbornly flat rates of student success and address persistent equity gaps. The longer-term effects of such collegewide reforms may take years to observe. In the meantime, college leaders need…
Descriptors: STEM Education, College Transfer Students, Community Colleges, Equal Education
Rubin, Paul G.; Kauppila, Sheena A.; Taylor, Jason L.; Stovall, Karen L.; Davis, Leanne – Institute for Higher Education Policy, 2021
Located in Redding, California, Shasta College is an inspiring example of why serving students with "some college, but no degree" is critical to supporting the local community. Most residents in the area, which is one of the state's northernmost counties, live and work in the immediate area and serve the community through local…
Descriptors: Stopouts, Reentry Students, Higher Education, Educational Attainment
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Goodrum, Sarah; Slepicka, Jessie; Woodward, William; Kingston, Beverly – Sociology of Education, 2022
This article argues that the organizational structure and culture of schools may impede the prevention of violence in America's schools, specifically threat assessment and management for students of concern. The data come from a qualitative case study of a school shooting where two students died; the data include deposition testimony from 12…
Descriptors: Violence, Prevention, School Safety, Weapons
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Lovelace, Matthew D.; Reschly, Amy L.; Appleton, James J. – Professional School Counseling, 2018
Early warning systems use school record data--such as attendance rate, behavior records, and course performance--to identify students at risk of dropping out. These are useful predictors of graduation-related outcomes, in large part because they indicate a student's level of engagement with school. However, these data do not indicate how invested…
Descriptors: Prediction, Dropouts, Learner Engagement, High School Students
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Chesters, Jenny; Rutter, Kerry; Nelson, Karen; Watson, Louis – Australian Universities' Review, 2018
During the past three decades, the student populations of Australian universities have become more heterogeneous as the higher education sector expanded and new alternative entry pathways were established. Broadening access to university study and, therefore, to professional and semi-professional occupations, provides avenues for social mobility.…
Descriptors: Postsecondary Education, Access to Education, College Preparation, Academic Persistence
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Okahana, Hironao; Klein, Carrie; Allum, Jeff; Sowell, Robert – Innovative Higher Education, 2018
This article is a result of the analysis of student-level enrollment records from twenty-one research universities in the United States, and it contributes to a more robust understanding of timely completion of STEM doctorates by underrepresented minority students. Using multivariate logit regression models, findings indicated that Hispanic/Latino…
Descriptors: STEM Education, Doctoral Programs, Graduate Students, Minority Group Students
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Richardson, Ken; Clark, Zaramasina; Gaines, Michael; Kingi, Hautahi; Miller, Sonja; Pearson, Willie, Jr.; Richardson, Liz – CBE - Life Sciences Education, 2018
Maori and Pacific students generally do not attain the same levels of tertiary success as New Zealanders of European descent, particularly in science, technology, engineering, and mathematics (STEM) subjects. Te Ropu Awhina (Awhina), an equity initiative at Victoria University of Wellington in New Zealand between 1999 and 2015, aimed to produce…
Descriptors: Bayesian Statistics, Pacific Islanders, Ethnic Groups, STEM Education
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Akgün, Ergün; Demir, Metin – International Journal of Assessment Tools in Education, 2018
In this study, it was aimed to predict elementary education teacher candidates' achievements in "Science and Technology Education I and II" courses by using artificial neural networks. It was also aimed to show the independent variables importance in the prediction. In the data set used in this study, variables of gender, type of…
Descriptors: Elementary School Teachers, Preservice Teachers, Artificial Intelligence, Science Education
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Branoff, Theodore; Ernst, Jeremy V.; Clark, Aaron C.; Deluca, V. William; Kelly, Daniel P. – Technology and Engineering Teacher, 2018
Being able to accurately evaluate students' cognitive, affective, and psychomotor development at the beginning of a course is critical for teachers to create meaningful learning experiences for them. Initial student evaluation provides teachers with quick perceptive and practical knowledge of student characteristics as well as a diagnosis of what…
Descriptors: Student Evaluation, Student Characteristics, Evaluation Methods, Academic Ability
Stokes, Hannah La Shell – ProQuest LLC, 2018
To date, there has not been research that disaggregates the experiences of Asian American and international Asian college students seeking psychotherapy in college campus settings. We examined archival data collected over the course of a 17-year period that focused on experiences of Asian American, international Asian, and European American…
Descriptors: School Counseling, Psychotherapy, College Students, Asian American Students
US House of Representatives, 2018
This document records testimony from a hearing before the Subcommittee on Early Childhood, Elementary, and Secondary Education that was held to discuss exploring opportunities to strengthen education research while protecting student privacy. Member statements were presented by: (1) Honorable Jared Polis, Ranking Member, Subcommittee on Early…
Descriptors: Privacy, Educational Research, Information Security, Educational Legislation
Data Quality Campaign, 2018
2018 is the fifth year that state policymakers have taken concerted legislative action on education data use and privacy issues. Across the country this year, 42 states considered 300 bills and 25 states passed 59 new laws governing the collection, linking, use, access, and protection of education data. With the passage of the Every Student…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
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Evans, Brent – Education Finance and Policy, 2017
Increasing the number of science, technology, engineering, and mathematics (STEM) degrees is a major federal education priority. I investigate whether providing a $4,000 financial incentive to low-income students in their junior and senior years of college induces them to major in a STEM field. Using administrative data from Ohio public colleges,…
Descriptors: STEM Education, Incentives, Student Financial Aid, Low Income Groups
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Cole, Rachel – Education Economics, 2017
Worldwide private tutoring is documented extensively, but its impact is unclear. I estimate the impact of tutoring on performance to assess the degree to which tutoring is a vehicle of educational stratification in Sri Lanka. I find that on average, five months of tutoring has no impact on Year 5 students' exam scores. I produce suggestive…
Descriptors: Tutoring, Program Effectiveness, Grade 5, Foreign Countries
Privacy Technical Assistance Center, 2017
The Privacy Technical Assistance Center (PTAC) has received an increasing number of questions from postsecondary educational institutions (institutions) on the conditions under which federal student financial aid information may be used for program evaluation and research purposes. Numerous federal laws govern access to, disclosure of, and use of…
Descriptors: Student Financial Aid, Information Utilization, College Students, Program Evaluation
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