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Sara Adan; Amparo Diaz; Nadia Leal-Carrillo; Allison Beer; Valerie Lundy-Wagner; Aisha Lowe – New Directions for Community Colleges, 2024
Across the nation, community colleges have expanded dual enrollment programs to increase college enrollment and completion, particularly among historically underserved populations. The California Community College system--the largest system in the nation--is no different and recently expanded its dual enrollment programming to include College and…
Descriptors: Community Colleges, Dual Enrollment, Equal Education, Student Participation
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Alturki, Sarah; Alturki, Nazik; Stuckenschmidt, Heiner – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…
Descriptors: Data Collection, Data Analysis, Grade Prediction, Academic Achievement
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Regional Educational Laboratory Pacific, 2021
These are the appendices to the report, "Using High School Data to Predict College Success in Palau" (ED610714). Prior research, particularly for the United States, has shown that earning a community college credential increases an individual's likelihood of gaining stable employment, earning a living wage, and working in a higher-paying…
Descriptors: Foreign Countries, College Readiness, High School Students, College Preparation
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Toskin, Katarzyna; Kunene, Niki – Information Systems Education Journal, 2021
Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time…
Descriptors: College Faculty, Data Analysis, Statistics Education, Undergraduate Students
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Yu, Hongwei; Glanzer, Perry L.; Johnson, Byron R.; Sriram, Rishi; Moore, Brandon – Review of Higher Education, 2018
Though numerous studies have identified factors associated with academic misconduct, few have proposed conceptual models that could make sense of multiple factors. In this study, we used structural equation modeling (SEM) to test a conceptual model of five factors using data from a relatively large sample of 2,503 college students. The results…
Descriptors: College Students, Cheating, Structural Equation Models, Data Analysis
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Arslanbay, Goshnag; Ersanli, Ceylan Yangin – Journal on English Language Teaching, 2023
Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…
Descriptors: English (Second Language), English for Academic Purposes, Second Language Learning, Second Language Instruction
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Schneider, Barbara – Educational Researcher, 2015
The College Ambition Program (CAP) is designed to encourage low-income and minority students to enroll in college. The following analysis presents updated results from my AERA presidential talk in 2014. Results indicate that CAP, which is a schoolwide intervention, increased college attendance for low-income and minority students in seven…
Descriptors: Disadvantaged, Low Income Students, Minority Group Students, College Preparation
Cavendish, Gordon F., Jr. – ProQuest LLC, 2017
The purpose of this phenomenological study was to describe the experience of "discontinued enrollment" for military veteran students at western Virginia community colleges. The theory guiding this study was Schlossberg's (1981) transition theory, as the military veteran students were in transition from the military to the community…
Descriptors: Community Colleges, Two Year College Students, Veterans, Student Attrition
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Eshetu, Amogne Asfaw – Educational Research and Reviews, 2015
Gender is among the determinant factors affecting students' academic achievement. This paper tried to investigate the impact of gender on academic performance of preparatory secondary school students based on 2014 EHEECE result. Ex post facto research design was used. To that end, data were collected from 3243 students from eight purposively…
Descriptors: Academic Achievement, Gender Differences, Case Studies, Secondary School Students
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Kazaz, Ilknur – International Online Journal of Education and Teaching, 2020
The last decade has witnessed a strong impact of emerging technologies on language pedagogy due to the developments in the computer technologies. The use of authentic linguistic examples through corpora and concordance based activities is defined as data-driven learning and it exposes the students to examples of more realistic language than…
Descriptors: Alternative Assessment, Vocabulary Skills, Comparative Analysis, State Universities
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Smith, Ann Marie; Hurst, Jeannine; Murakami, Elizabeth – International Journal of Progressive Education, 2016
The purpose of this study was to investigate the experiences of faculty as they engaged in professional development under a Teacher Preparation Initiative (TPI). This initiative engaged faculty in a community of practice that included activities such as aligning curricula, professional development, and examining teaching practices. This study was…
Descriptors: Communities of Practice, Faculty Development, College Faculty, Alignment (Education)
Data Quality Campaign, 2014
High school feedback reports let school and district leaders know where their students go after graduation and how well they are prepared for college and beyond. This roadmap discusses the seven key focus areas the Data Quality Campaign (DQC) recommends states work on to ensure quality implementation of high school feedback reports.
Descriptors: High School Graduates, Postsecondary Education, Outcomes of Education, Feedback (Response)
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Yeh, Stuart S. – Teachers College Record, 2016
Background: Policymakers wish to know what changes must be made to the primary and secondary education system so that when students apply to college they are highly prepared, ready to perform at high levels, and likely to be successful in college. Purpose: The purpose of the current study was to investigate the significance of strong educational…
Descriptors: Outcomes of Education, Race, Scores, College Preparation
Rachel Waggener Pool; Amanda Lynn Nolen; Jim Vander Putten – Sage Research Methods Cases, 2016
For my dissertation, I was interested in examining the warnings about the preparedness of a new generation of students arriving on college campuses across the United States. For the past 12 years, these students have attended public schools under the No Child Left Behind Act of 2001, and the purpose of my study was to investigate the influence…
Descriptors: College Students, College Bound Students, Longitudinal Studies, Federal Legislation
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James Cowan; Dan Goldhaber – Review of Higher Education, 2015
We study a popular dual enrollment program in Washington State, "Running Start" using a new administrative database that links high school and postsecondary data. Conditional on prior high school performance, we find that students participating in Running Start are more likely to attend any college but less likely to attend four-year…
Descriptors: Dual Enrollment, College Preparation, College Bound Students, Educational Attainment
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