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De La Hoz, Enrique; Zuluaga, Rohemi; Mendoza, Adel – Journal on Efficiency and Responsibility in Education and Science, 2021
This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In the first phase, university profiles are created through cluster analysis. In the second phase, the academic efficiency of these profiles is evaluated through Data Envelopment Analysis. Finally, a machine learning model is trained…
Descriptors: Program Effectiveness, Program Evaluation, Engineering Education, Multivariate Analysis
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Nabizadeh, Amir Hossein; Goncalves, Daniel; Gama, Sandra; Jorge, Joaquim – IEEE Transactions on Learning Technologies, 2022
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…
Descriptors: College Students, Prediction, Grades (Scholastic), Game Based Learning
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Bowers, Alex J.; Zhao, Yihan; Ho, Eric – High School Journal, 2022
Research on data use and school Early Warning Systems (EWS) notes a central practice of researchers and practitioners is to search for patterns in student data to predict outcomes so schools can support success when students experience challenges. Yet, the domain lacks a means to visualize the rich longitudinal data that schools collect. Here, we…
Descriptors: Learning Analytics, Visual Aids, Student Records, Longitudinal Studies
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David Bamat – Measurement: Interdisciplinary Research and Perspectives, 2024
The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…
Descriptors: Reading Achievement, Achievement Gap, Prediction, National Competency Tests
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Peterson, Anna D.; Ziegler, Laura – Journal of Statistics and Data Science Education, 2021
We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the number of pieces, the theme (i.e., product line), and the general size of the pieces. By…
Descriptors: Toys, Statistics Education, Teaching Methods, Regression (Statistics)
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Kazak, Sibel; Fujita, Taro; Turmo, Manoli Pifarre – Mathematical Thinking and Learning: An International Journal, 2023
In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…
Descriptors: Statistical Inference, Mathematics Skills, Mathematics Instruction, Secondary School Students
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Gutierrez, Antonio P.; Price, Addison F. – Journal of Experimental Education, 2017
This study investigated changes in male and female students' prediction and postdiction calibration accuracy and bias scores, and the predictive effects of explanatory styles on these variables beyond gender. Seventy undergraduate students rated their confidence in performance before and after a 40-item exam. There was an improvement in students'…
Descriptors: Prediction, Undergraduate Students, Sex Role, Males
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Diaz, Frank M. – Journal of Research in Music Education, 2018
I examined the use of meditation practices among collegiate-level musicians (N = 255), along with the degree to which these practices contributed to music performance anxiety (MPA) when controlling for trait perfectionism and trait mindfulness. Findings indicated that approximately 48% of the participants sampled had engaged in meditation during…
Descriptors: Music Education, Music Activities, College Students, Performance
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Alghraibeh, Ahmad M.; Juieed, Noof M. Bni – International Education Studies, 2018
We examined the correlation between social isolation and affective isolation among 457 undergraduate students using a stratified cluster sampling technique. Participants comprised 221 men and 236 women, all of whom were either first- or fourth-year students enrolled in various majors at King Saud University. Means, standard deviations, Pearson…
Descriptors: Correlation, Social Isolation, Affective Behavior, Prediction
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Herber, Stefanie P.; Kalinowski, Michael – Education Economics, 2019
We estimate the percentage of eligible students who do not take up their federal need-based student financial aid entitlements in a microsimulation model for the German Socio-Economic Panel Study 2002--2013. We find that about 40% of the eligible low-income students do not take up their entitlements. Non-take-up is inversely and rather…
Descriptors: Foreign Countries, Student Financial Aid, Low Income, Eligibility
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Ismail, Sameh; Abdulla, Shubair – Australian Educational Computing, 2015
Since Accumulated Grad-Point Average (AGPA) is crucial in the professional life of students, it is an interesting and challenging problem to create profiles for those students who are likely to graduate with low AGPA. Identifying this kind of students accurately will enable the university staff to help them improve their ability by providing them…
Descriptors: Foreign Countries, Grade Point Average, College Students, Models
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Choi, Hongkyu; Lee, Ji Eun; Hong, Won-joon; Lee, Kyumin; Recker, Mimi; Walker, Andy – International Educational Data Mining Society, 2016
This research connects several data-driven educational data mining approaches to a framework for interaction developed in educational research. In particular, 10 million usage data points collected by a Learning Management System used by students and teachers in 450 online undergraduate courses were analyzed with this framework. A range of…
Descriptors: Integrated Learning Systems, Data Analysis, Multivariate Analysis, Multiple Regression Analysis
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Bowie, Stan L.; Nashwan, Ayat J. J.; Thomas, Veliska; Davis-Buckley, Renski J.; Johnson, Richard L. – Journal of Social Work Education, 2018
Social work programs in the United States (N = 74) were investigated to determine strategies used for recruiting and retaining MSW students of color. Most schools had student populations exceeding 25,000 and combined BSW, MSW, and PhD programs. Data were collected using a Graduate Recruitment and Retention Scale with corresponding and acceptably…
Descriptors: Graduate Students, Minority Group Students, Social Work, Student Recruitment
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Borgna, Georgianna; Walton, Dawn; Convertino, Carol; Marschark, Marc; Trussell, Jessica – Deafness & Education International, 2018
Various studies have examined possible loci of deaf learners' documented challenges with regard to reading, usually focusing on language-related factors. Deaf students also frequently struggle in mathematics and science, but fewer studies have examined possible reasons for those difficulties. The present study examined numerical and non-numerical…
Descriptors: Numeracy, Deafness, College Students, Mathematical Aptitude
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Garner, Pamela W.; Parker, Tameka; Dortch, Marlon K. – Early Child Development and Care, 2017
The present study examined differences in the victimization-related beliefs of 173 adults (65 early childhood preservice teachers, 62 early childhood in-service teachers, and 46 parents). Additionally, confidence about managing victimization was evaluated as a predictor of proposed responses to negative peer encounters. In-service teachers were…
Descriptors: Bullying, Victims, Peer Relationship, Preservice Teachers
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