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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
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Hriez, Raghda Fawzey; Al-Naymat, Ghazi – Journal of Computing in Higher Education, 2021
Depicting the reason for the mismatch between instructor expectations of students' performance in advanced courses and their actual performance has been a challenging issue for a long time, which raises the question of why such a mismatch exists. An implicit reason for this mismatch is the student's weakness in prerequisite course skills. To solve…
Descriptors: Required Courses, Advanced Courses, Graphs, Outcomes of Education
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Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
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Shoulders, Catherine W.; Johnson, Donald M.; O'Bryan, Corliss A.; Crandall, Philip G. – Journal of Food Science Education, 2018
The 1st step in successfully intervening with students who may fail a course is to identify them as early as possible in the semester. The objective of this study was to create a model to predict student performance in FDSC 4304, the required capstone Food Chemistry class, using academic performance in prerequisite courses as potential predictors.…
Descriptors: Models, Predictor Variables, Academic Achievement, Science Achievement
Daniel, Vivian Summerour – ProQuest LLC, 2011
The purpose of this within-group experimental study was to find out to what extent ninth-grade students improved their science performance beyond their middle school science performance at one Georgia high school utilizing a freshman academy model. Freshman academies have been recognized as a useful tool for increasing academic performance among…
Descriptors: Community Involvement, Academic Achievement, Program Effectiveness, Educational Change
Gohara, Sabry; Shapiro, Joseph I.; Jacob, Adam N.; Khuder, Sadik A.; Gandy, Robyn A.; Metting, Patricia J.; Gold, Jeffrey; Kleshinski, James; and James Kleshinski – Learning Assistance Review, 2011
The purpose of this study was to evaluate whether models based on pre-admission testing, including performance on the Medical College Admission Test (MCAT), performance on required courses in the medical school curriculum, or a combination of both could accurately predict performance of medical students on the United States Medical Licensing…
Descriptors: Medical Education, Medical Students, Required Courses, Medical Schools
Henriques, David I. – ProQuest LLC, 2011
The purpose of this study was to test the efficacy of learning communities for underprepared first-year students. The topic was examined by synthesizing data collected on a cohort of first-year college students participating in a "developmental" (special admittance) program. A quasi-experimental design evaluated the effectiveness of…
Descriptors: Communities of Practice, College Freshmen, Developmental Programs, Quasiexperimental Design
Knight, William E. – 1992
This study investigated differences in freshmen to senior student general education gains across institutions of higher education, with varying patterns of general education requirements using a mixed-effect structural equation model. The subjects were 6,409 students at 34 colleges and universities nationwide. Study procedures used American…
Descriptors: Academic Ability, Academic Achievement, College Outcomes Assessment, Comparative Analysis
Bloom, Allan M.; And Others – 1988
In response to the increasing importance of student performance in required classes, research was conducted to compare two prediction procedures, linear modeling using multiple regression and nonlinear modeling using AID3. Performance in the first college math course (College Mathematics, Calculus, or Business Calculus Matrices) was the dependent…
Descriptors: Academic Achievement, Achievement Tests, Calculus, College Mathematics