NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 143 results Save | Export
Peer reviewed Peer reviewed
Toby J. Park-Gaghan; Christine Mokher; Taylor Burtch; Morgan Danyi – Grantee Submission, 2024
Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…
Descriptors: Developmental Studies Programs, Remedial Instruction, Required Courses, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Thomas Mgonja – Education and Information Technologies, 2024
The successful completion of remedial mathematics is widely recognized as a crucial factor for college success. However, there is considerable concern and ongoing debate surrounding the low completion rates observed in remedial mathematics courses across various parts of the world. This study applies explainable artificial intelligence (XAI) tools…
Descriptors: Higher Education, Remedial Mathematics, Artificial Intelligence, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Hammoudi, Mohamad M. – International Journal of Mathematical Education in Science and Technology, 2019
The purpose of the study is to examine whether there is a significant relationship between students' motivation to succeed in introductory mathematics courses offered by universities in the United Arab Emirates (UAE) as the dependent variable of the research and another five independent variables including cognitive mathematics self-concept,…
Descriptors: Predictor Variables, Student Motivation, Mathematics Achievement, Mathematics Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Alkan, Vesile – International Journal of Assessment Tools in Education, 2018
The aim of this study was to conduct a systematic review research concentrating on studies regarding "Mathematics anxiety." 59 papers were reanalyzed in order to answer the questions derived from the main aim in terms of the rules of systematic review method. These studies were reviewed and analyzed by taking account of their aims,…
Descriptors: Foreign Countries, Mathematics Anxiety, Mathematics Achievement, Self Efficacy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Alkan, Vesile – Online Submission, 2018
The aim of this study was to conduct a systematic review research concentrating on studies regarding 'Mathematics anxiety'. 59 papers were reanalyzed in order to answer the questions derived from the main aim in terms of the rules of systematic review method. These studies were reviewed and analyzed by taking account of their aims, designs,…
Descriptors: Foreign Countries, Mathematics Anxiety, Mathematics Achievement, Self Efficacy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cahan, Sorel; Nirel, Ronit; Gamliel, Eyal – Higher Education Studies, 2018
Predictive validity considerations in selection dictate choice of the predictor with the highest predictive validity. Implementation of this principle in any specific selection process inevitably entails choice between imperfectly correlated alternative predictors, real or hypothetical, which are equivalent in terms of predictive validity. We show…
Descriptors: Predictor Variables, Higher Education, Predictive Validity, Correlation
Bernard L. Dillard – ProQuest LLC, 2024
The Upward Bound Math and Science (UBMS) program at Temple University (TU) seeks to guide first-generation, low-income high school students from Philadelphia in their quest to obtain postsecondary STEM degrees that lead to related careers. This study aims to evaluate the efficacy of the program by analyzing its students' performance in light of…
Descriptors: Program Evaluation, Statistical Analysis, Program Effectiveness, College Preparation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Liu, Leping; Chen, Li-Ting; Li, Wenzhen – International Journal of Technology in Teaching and Learning, 2021
With new technology tools available for educators and students, effectively using these tools to improve teaching and learning has become a constant theme for research and practice in the field of education. In this study, case-analysis was conducted on 305 published studies (from 140 peer-reviewed regional, national and international journals)…
Descriptors: Educational Technology, STEM Education, Mathematics Education, Science Education
Blanchard, Myrna E. – ProQuest LLC, 2018
Using a phenomenological approach, this qualitative study examined the perspectives of Latino parents and their involvement in the decision of their child to enroll in an advanced mathematics course in sixth grade. Since enrollment in Algebra I in high school is said to be a strong predictor of college attainment and with the growing number of…
Descriptors: Phenomenology, Mathematics Instruction, Hispanic American Students, Advanced Courses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chiu, Mei-Shiu – Journal of Educational Data Mining, 2020
This study aims to identify effective affective states and behaviors of middle-school students' online mathematics learning in predicting their choices to study science, technology, engineering, and mathematics (STEM) in higher education based on a "positive-affect-to-success hypothesis." The dataset (591 students and 316,974 actions)…
Descriptors: Gender Differences, Predictor Variables, STEM Education, Course Selection (Students)
Peer reviewed Peer reviewed
Direct linkDirect link
Davidson, J. Cody – Journal of College Student Retention: Research, Theory & Practice, 2016
Mathematics is the most common subject area of remedial need and the majority of remedial math students never pass a college-level credit-bearing math class. The majorities of studies that investigate this phenomenon are conducted at community colleges and use some type of regression model; however, none have used a continuation ratio model. The…
Descriptors: Regression (Statistics), Remedial Mathematics, Academic Persistence, Remedial Instruction
Ooten, Cheryl Thomas – ProQuest LLC, 2013
Beginning algebra is a gatekeeper course into the pipeline to higher mathematics courses required for respected professions in engineering, science, statistics, mathematics, education, and technology. Beginning algebra can also be a perfect storm if the necessary foundational skills are not within a student's grasp. What skills ensure beginning…
Descriptors: Algebra, Fractions, Community Colleges, Higher Education
Scott J. Peters; James S. Carter III – Annenberg Institute for School Reform at Brown University, 2021
A wide research base has documented the unequal access to and enrollment in K-12 gifted and talented services and other forms of advanced learning opportunities. This study extends that knowledge base by integrating multiple population-level datasets to better understand correlates of access to and enrollment in gifted and talented services,…
Descriptors: Predictor Variables, Access to Education, Advanced Courses, Algebra
Peer reviewed Peer reviewed
Direct linkDirect link
Trautwein, Ulrich; Marsh, Herbert W.; Nagengast, Benjamin; Ludtke, Oliver; Nagy, Gabriel; Jonkmann, Kathrin – Journal of Educational Psychology, 2012
In modern expectancy-value theory (EVT) in educational psychology, expectancy and value beliefs additively predict performance, persistence, and task choice. In contrast to earlier formulations of EVT, the multiplicative term Expectancy x Value in regression-type models typically plays no major role in educational psychology. The present study…
Descriptors: Predictor Variables, Educational Psychology, Structural Equation Models, Beliefs
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10