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Meyers, Coby V.; Wronowski, Meredith L.; VanGronigen, Bryan A. – Educational Assessment, Evaluation and Accountability, 2021
School improvement research has insufficiently considered the importance of intervening in schools with declining academic performance. Fields such as engineering and medicine have prioritized predicting decline to save structures or patients before they are in peril. Unfortunately, in education, school improvement policies and interventions are…
Descriptors: Identification, Educational Improvement, Academic Achievement, Predictor Variables
José M. Ortiz-Lozano; Pilar Aparicio-Chueca; Xavier M. Triadó-Ivern; Jose Luis Arroyo-Barrigüete – Studies in Higher Education, 2024
Student dropout is a major concern in studies investigating retention strategies in higher education. This study identifies which variables are important to predict student dropout, using academic data from 3583 first-year students on the Business Administration (BA) degree at the University of Barcelona (Spain). The results indicate that two…
Descriptors: Dropouts, Predictor Variables, Social Sciences, Law Students
Wang, Qiang; Song, Xin; Hong, Jon-Chao; Li, Shuang; Zhang, Mengmeng; Yang, Xiantong – Education and Information Technologies, 2023
In response to the wide-ranging concern of online academic futility, the current study aimed to explore the independent variables and mediating variable from a novel perspective of parents during COVID-19. Based on the social comparison theory and the control-value theory of achievement emotions, social comparison and tutoring anxiety were…
Descriptors: Self Concept, Tutoring, Anxiety, Parent Attitudes
Analysis and Prediction of Students' Performance in a Computer-Based Course through Real-Time Events
Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
Roberts, Nicola – Journal of Further and Higher Education, 2023
Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…
Descriptors: Predictor Variables, Academic Achievement, Academic Failure, College Freshmen
Tisha L. N. Emerson; KimMarie McGoldrick – Journal of Economic Education, 2024
Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…
Descriptors: Microeconomics, Student Attrition, Withdrawal (Education), Academic Persistence
Susan Marino – ProQuest LLC, 2021
Charter schools have existed in the United States for thirty years, with mixed results. Research has largely focused on charter school failure and an analysis of what led to the demise. This study aimed to understand characteristics predicting charter school success, alongside those predicting failure. Specifically, it focused on a charter…
Descriptors: Charter Schools, Institutional Characteristics, Community Characteristics, Predictor Variables
Van Duser, Kyle E.; Yan, Xiaofei; Lucas, Chris M.; Cohen, Shoshana K. – College Student Journal, 2021
This quantitative exploratory study investigated factors related to the fail rate of first-year students in Introduction to General Chemistry courses (CHEM 1xx) at a mid-sized public research university. This course represents a gateway course for many scientific, medical, and healthcare majors. The sample consisted of 595 undergraduate students…
Descriptors: Introductory Courses, Chemistry, College Science, College Freshmen
Yoon, Susan; Quinn, Camille R.; Shockley McCarthy, Karla; Robertson, Angela A. – Youth & Society, 2021
The primary aim of this study was to examine gender and racial differences in the association between system involvement types (i.e., child protective services [CPS] only, juvenile justice system only, and dual involvement) and academic outcomes (i.e., grade failure, chronic absenteeism). This study used records from a linked database of public…
Descriptors: Gender Differences, Racial Differences, Child Welfare, Juvenile Justice
García y García, Blanca Elba – Journal on Efficiency and Responsibility in Education and Science, 2021
This study explores the attributions to which undergraduate university students ascribe academic achievement. Attribution theory was used as a means to understand scholastic success-failure. The questions that guided the study were the following: What are the causal attributions that predominate in students' academic achievement? Is there a…
Descriptors: Undergraduate Students, Student Attitudes, Attribution Theory, Academic Achievement
Ruiz, Samara; Urretavizcaya, Maite; Rodríguez, Clemente; Fernández-Castro, Isabel – Interactive Learning Environments, 2020
A positive emotional state of students has proved to be essential for favouring student learning, so this paper explores the possibility of obtaining student feedback about the emotions they feel in class in order to discover emotion patterns that anticipate learning failures. From previous studies about emotions relating to learning processes, we…
Descriptors: College Students, Computer Science Education, Emotional Response, Student Reaction
Conijn, R.; Van den Beemt, A.; Cuijpers, P. – Journal of Computer Assisted Learning, 2018
Predicting student performance is a major tool in learning analytics. This study aims to identify how different measures of massive open online course (MOOC) data can be used to identify points of improvement in MOOCs. In the context of MOOCs, student performance is often defined as course completion. However, students could have other learning…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Online Courses
Hope, David; Cameron, Helen – Innovations in Education and Teaching International, 2018
Considerable efforts have been made to predict success in medical degrees. Much of the work has focused on failing students, so little is known about performance stability in medical students who pass and become doctors. If we can predict performance, we can better plan interventions and set standards. We tested the predictive capability of first…
Descriptors: Academic Achievement, Predictor Variables, Foreign Countries, Medical Education
Milz, Sabine – Canadian Journal for the Scholarship of Teaching and Learning, 2020
This observational study adds to a small number of college-specific studies comparing student performance in online and face-to-face versions of the same course. It also complements more largescale college-based studies that compare the delivery formats across courses, disciplines, and institutions. Using descriptive statistics and the chi-square…
Descriptors: Academic Achievement, Student Evaluation, Conventional Instruction, Electronic Learning
Regional Educational Laboratory Mid-Atlantic, 2020
Pittsburgh Public Schools (PPS), the Propel Schools charter network, and the Allegheny County Department of Human Services (DHS) want to better identify students at risk for academic problems in the near term. The stakeholders partnered with the Regional Education Laboratory Mid-Atlantic to develop an approach for identifying at-risk students…
Descriptors: Elementary Secondary Education, At Risk Students, Welfare Services, Child Welfare