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Schechter, Rachel L.; Lynch, Alicia D. – Online Submission, 2022
LXD Research analyzed data from 462 students in first grade who were Below or Well Below Benchmark at the beginning of the year and participated in using the Phonics Lesson Library and the Phonics Chip Kit as an intervention in CA for the 2021-2022 school year. The product is a Tier 2 or Tier 3 phonics intervention using lessons and manipulatives…
Descriptors: Grade 1, Elementary School Students, Phonics, Intervention
Randi Mayers – ProQuest LLC, 2022
First-generation students comprise nearly half of the college going population, but are also disproportionately more likely to drop out of college before their third year (RTI International, 2019). Scholars tend to argue that first-generation college students lack the social capital, or access to resource rich networks that can provide information…
Descriptors: First Generation College Students, At Risk Students, Student Needs, Student Attitudes
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Amanda J. Neitzel; Xinxing Guo; Betsy Wolf; Nancy A. Madden; Michael X. Repka; David S. Friedman; Megan Collins – Society for Research on Educational Effectiveness, 2022
Background: Reading is a vital skill, key to school success, necessary for employment, and essential for functioning in everyday life. Many attempts to increase literacy have focused on schools, yet "out of school" factors have a substantial impact on student learning (Clabaugh, 2008). One non-instructional factor that may be part of…
Descriptors: Assistive Technology, Program Effectiveness, At Risk Students, Access to Health Care
Hope L. Rivera Matthews – ProQuest LLC, 2022
The problem that was researched was the impact of COVID-19 on Black children whom lived in poverty, and more narrowly in homelessness and unstable housing. This study focused on how online learning, lack of internet access, lack of stable housing and lack of necessary academic resources severely impacted the overall learning process for black…
Descriptors: COVID-19, Pandemics, African American Students, Barriers
Garret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – Grantee Submission, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
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Garret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – School Psychology Review, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
Hallman, Heidi L.; Kindelsperger, Abigail P. – Routledge Research in Education, 2018
"Reconceptualizing Curriculum, Literacy, and Learning for School-Age Mothers" offers a portrait of classroom literacy practices and learning opportunities that are provided for school-age mothers in two different schools. Through a series of case studies of school sites, teachers, and students, this book presents evidence of how these…
Descriptors: Mothers, At Risk Students, Literacy, Access to Education
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Lee, Jerin; Chang, Edward C.; Lucas, Abigael G.; Hirsch, Jameson K. – Journal of College Counseling, 2019
This study examined academic motivation and basic psychological needs as predictors of suicidal risk (namely, depressive symptoms and suicidal behaviors) in a sample of 348 college students. Results from regression analyses indicated that academic motivation was a significant predictor of suicidal risk. The inclusion of basic psychological needs…
Descriptors: Student Motivation, Psychological Needs, Predictor Variables, Suicide
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DeFouw, Emily R.; Codding, Robin S.; Collier-Meek, Melissa A.; Gould, Kaitlin M. – Remedial and Special Education, 2019
To prevent academic failure and promote long-term success, response-to-intervention (RtI) is designed to systematically increase the intensity of delivering research-based interventions. Interventions within an RtI framework must not only be effective but also be implemented with treatment fidelity and delivered with the appropriate level of…
Descriptors: Outcomes of Treatment, Fidelity, Intervention, Research
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Weiss, Samantha; Harder, Jeanette; Bratiotis, Christiana; Nguyen, Emily – Education and Urban Society, 2019
Academic mentoring programs promote high school completion for at-risk youth. The purpose of this study was to hear the voice of youth in order to inform program services and develop best practices for meeting their academic needs. Using a grounded theory approach, we conducted 14 focus groups to examine high school students' perceptions and…
Descriptors: Youth, Student Attitudes, Mentors, High School Students
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González-Rodríguez, Diego; Vieira, María-José; Vidal, Javier – Educational Research, 2019
Background: Early school leaving (ESL) is a significant and complex problem for most educational systems. Research has analysed this problem from a number of different perspectives but has been mainly focused on a specific set of variables that may influence ESL. Purpose: This study sought to identify the variables that influence ESL in compulsory…
Descriptors: Dropouts, Alienation, Academic Failure, Grade Repetition
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Hu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2019
Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…
Descriptors: Academic Achievement, Attention, Prior Learning, Prediction
Jones, Nolan A. – ProQuest LLC, 2019
The purpose of this study was to examine the impact of academic peer-mentorship programs on predicted persistence and predicted academic performance of academically at-risk students. A quasi-experimental design was used; the model was a non-equivalent (pretest and posttest) control group design. First-time, full-time college students were…
Descriptors: Peer Relationship, Mentors, College Readiness, At Risk Students
Jenna Marie Dulak – ProQuest LLC, 2019
The purpose of this study is to determine what demographics and learning analytics can be used as predictors to identify at-risk students in higher education. These indicators can be used to develop policies and instructional design techniques that faculty can use to intervene with at-risk students. This quantitative study uses geographic…
Descriptors: Learning Analytics, Social Indicators, At Risk Students, Educational Policy
Heartfield, Leah – ProQuest LLC, 2023
High school students from low-income backgrounds experience academic under-preparedness, financial distress, and socialization challenges when entering college. For these students, challenges may begin in the K-12 setting, where this population is more likely to face limitations in college counseling, lack highly qualified teachers, and have…
Descriptors: High School Students, Low Income Students, College Readiness, At Risk Students
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