Literacy events and practices that position Hmong women to meet academic success in community colleges

Objective: This study develops an analytical framework for identifying effective partnerships between 2- and 4-year institutions that enable community college entrants to transfer to a 4-year institution and earn a bachelor’s degree in a timely fashion. Method: Using the individual term-by-term college enrollment and degree records from the National Student Clearinghouse for the entire 2007 fall cohort of first-time-in-college community college students nationwide, we use regressions to control for student and institutional characteristics in identifying effective partnerships in two steps: first, we identify community colleges with large residual values (better than expected outcomes); and second, we identify the 4-year partners of those community colleges with large residual values. Results: Descriptive results on the variation in transfer outcomes among the thousands of unique transfer partnerships nationally are presented alongside results from regressions used in the two-step effective transfer partnership identification. Contributions: Recommendations and considerations for using this framework to evaluate and benchmark institutional performance in supporting the academic success of vertical transfer students for baccalaureate attainment are also discussed.

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Using Admissions Data to Create a First-Semester Academic Success Model

10.18122/td/1653/boisestate ◽

2020 ◽

Author(s):

David James Byrnes

Keyword(s):

Neural Network ◽

Community Colleges ◽

Academic Success ◽

Network Model ◽

Neural Network Model ◽

Academic Preparedness ◽

First Semester ◽

High School Gpa ◽

Tree Models ◽

Data Elements

Higher education is attracting more students from diverse background especially at public community colleges. These institutions can help these students attain a quality education at a reasonable price. Unfortunately, community colleges have lower graduation rates than 4-year institutions in part due to the diverse needs and variety in academic preparedness amongst their populations. It can be difficult to identify students most at risk of performing poorly until it is too late. There are multiple ways to predict students' performance. In this study, three common data mining techniques are compared for their accuracy in predicting academic success using only data collected at the point of admissions. Accurate early prediction can allow academic support professionals to intervene and provide intrusive assistance. A neural network model was found to be more accurate than logistic regression and decision tree models. Moreover, data elements of high school GPA, age, and sex were the most important factors in the neural network model.

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Book Review: Transformational Learning in Community Colleges: Charting a Course for Academic Success by Hoggan, C. D., & Browning, B

Adult Learning ◽

10.1177/1045159520977912 ◽

2020 ◽

pp. 104515952097791

Author(s):

Ted McCadden

Keyword(s):

Community Colleges ◽

Academic Success ◽

Transformational Learning

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Contributing factors to academic achievements: from community college to university in Hong Kong

6th International Conference on Higher Education Advances (HEAd'20) ◽

10.4995/head20.2020.11182 ◽

2020 ◽

Author(s):

Yeena Li ◽

Bin Li ◽

Kin Cheung ◽

Hilda Tsang

Keyword(s):

Academic Achievement ◽

Community Colleges ◽

Hong Kong ◽

Academic Success ◽

Learning Environment ◽

Transfer Students ◽

Pearson Correlation ◽

Approaches To Learning ◽

Learning Approaches ◽

Teaching Learning

Academic achievement of students transferring from community colleges to 4-year institutions has been a topic of interest to educational researchers globally. However, local empirical evidence remains limited on how transfer students’ learning approaches and the teaching-learning environment relate to their academic achievement in Hong Kong’s universities. The study aims at exploring the relationship between transfer students’ approaches to learning, their perceptions of the teaching-learning environment and academic achievement. The participants were 617 undergraduate students transferring from community colleges to an university in Hong Kong. Students’ approaches to learning and perceptions of the teaching-learning environment were measured using the HowULearn questionnaire. Analyses were carried out using factor analysis, Pearson correlation and linear regression. The results confirmed positive relations between students’ perceptions, approaches and achievement. Students studying in an organised manner achieved better academic performance, whereas those using a surface approach poor performance. Others might also adopt an intermediate approach to learning. The results indicate that promoting awarenesses of choosing and using appropriate learning approaches is important for fostering academic success among students.

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K–12 and Postsecondary Alignment: Racial/Ethnic Differences in Freshmen Course-taking and Performance at California’s Community Colleges

Education Policy Analysis Archives ◽

10.14507/epaa.v21n16.2013 ◽

2013 ◽

Vol 21 ◽

pp. 16

Author(s):

Michal Kurlaender ◽

Matthew Larsen

Keyword(s):

High School ◽

Community Colleges ◽

High School Students ◽

Academic Success ◽

School Achievement ◽

School Students ◽

High School Achievement ◽

And Performance ◽

K 12 ◽

Racial Ethnic

In this paper we focus on California high school students’ transition to community colleges. Our unique dataset tracks five cohorts of California high school juniors into their freshmen year at in-state community colleges. We evaluate the extent to which high school achievement tests (currently not utilized by community colleges in course placement decisions) are useful for predicting academic success at community college. In addition, given persistent disparities in college attainment by race, we explore whether this fundamental relationship between high school achievement, college course-taking, and performance differs for students from different racial/ethnic backgrounds.

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Examining Factors Related to Academic Success of Military-Connected Students at Community Colleges

Community College Journal of Research and Practice ◽

10.1080/10668926.2017.1339647 ◽

2017 ◽

Vol 42 (6) ◽

pp. 422-438 ◽

Cited By ~ 3

Author(s):

Denise N. Williams-Klotz ◽

Ann M. Gansemer-Topf

Keyword(s):

Community Colleges ◽

Academic Success

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Read, Understand, Learn, & Excel: Development and Testing of an Automated Reading Strategy Detection Algorithm for Postsecondary Students

American Journal of Speech-Language Pathology ◽

10.1044/2019_ajslp-18-0181 ◽

2019 ◽

Vol 28 (3) ◽

pp. 1257-1267 ◽

Cited By ~ 2

Author(s):

Priya Kucheria ◽

McKay Moore Sohlberg ◽

Jason Prideaux ◽

Stephen Fickas

Keyword(s):

Academic Success ◽

Undergraduate Students ◽

Expository Text ◽

Reading Strategy ◽

Detection Algorithm ◽

Expository Texts ◽

Human Observer ◽

Behavioral Strategies ◽

Periodic Review ◽

Wide Range

PurposeAn important predictor of postsecondary academic success is an individual's reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader's use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository text.MethodAn iterative design was used to develop the computer algorithm for detecting 9 reading strategies. Twelve undergraduate students read 2 expository texts that were equated for length and complexity. A human observer documented the strategies employed by each reader, whereas the computer used digital sequences to detect the same strategies. Data were then coded and analyzed to determine agreement between the 2 sources of strategy detection (i.e., the computer and the observer).ResultsAgreement between the computer- and human-coded strategies was 75% or higher for 6 out of the 9 strategies. Only 3 out of the 9 strategies–previewing content, evaluating amount of remaining text, and periodic review and/or iterative summarizing–had less than 60% agreement.ConclusionRead, Understand, Learn, & Excel provides proof of concept that a reader's approach to engaging with academic text can be objectively and automatically captured. Clinical implications and suggestions to improve the sensitivity of the code are discussed.Supplemental Materialhttps://doi.org/10.23641/asha.8204786

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Forum: Morphological Awareness as a Key Factor in Language-Literacy Success for Academic Achievement

Language Speech and Hearing Services in Schools ◽

10.1044/2020_lshss-20-00064 ◽

2020 ◽

Vol 51 (3) ◽

pp. 509-513

Author(s):

Ashley Bourque Meaux ◽

Julie A. Wolter ◽

Ginger G. Collins

Keyword(s):

Academic Achievement ◽

Academic Success ◽

Literacy Development ◽

Morphological Awareness ◽

Language And Literacy ◽

Speech Language Pathologists ◽

School Based ◽

Literacy Success ◽

Key Factor ◽

Language And Literacy Development

Purpose This article introduces the Language, Speech, and Hearing Services in Schools Forum: Morphological Awareness as a Key Factor in Language-Literacy Success for Academic Achievement. The goal of this forum is to relate the influence morphological awareness (MA) has on overall language and literacy development with morphology acting as the “binding agent” between orthography, phonology, and semantics ( Perfetti, 2007 ) in assessment and intervention for school-aged children. Method This introduction provides a foundation for MA development and explores the influence MA has over the course of school-aged language and literacy development. Through summaries of the 11 articles in this forum, school-based speech-language pathologists will be able to convey the importance of MA to promote successful educational outcomes for kindergarten to adolescent students. The forum explores researcher-developed assessments used to help identify MA skill level in first- through eighth-grade students at risk for literacy failure to support instructional needs. The forum also provides school-based speech-language pathologists with details to design and implement MA interventions to support academic success for school-aged students with varying speech-language needs (e.g., dual language emersion, vocabulary development, reading comprehension) using various service delivery models (e.g., small group, classroom-based, intensive summer camps). Conclusion MA is effective in facilitating language and literacy development and as such can be an ideally focused on using multilinguistic approaches for assessment and intervention. The articles in this issue highlight the importance in assessment measures and intervention approaches that focus on students' MA to improve overall academic success in children of all ages and abilities.

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