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Silva, Hernán A.; Quezada, Luis E.; Oddershede, A. M.; Palominos, Pedro I.; O'Brien, Christopher – Journal of College Student Retention: Research, Theory & Practice, 2023
The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…
Descriptors: Foreign Countries, Prediction, Models, Probability
Lim Keai – Excellence in Education Journal, 2023
This study was inspired by the Indian movie 'Three idiots' and purposed to investigate the reasons behind the high rate of engineering degree programmes dropouts in India. Accordingly, factors related to academic, demographic, economic, family, future, institutional, personal, and social were derived and examined on their impacts on student…
Descriptors: Foreign Countries, Films, Engineering Education, Dropouts
Staub, Adrian; Goddard, Kirk – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
A word's predictability, as measured by its cloze probability, has a robust influence on the time a reader's eyes spend on the word, with more predictable words receiving shorter fixations. However, several previous studies using the boundary paradigm have found no apparent effect of predictability on early reading time measures when the reader…
Descriptors: Prediction, Probability, Eye Movements, Reading
Mao, Ye; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Modeling student learning processes is highly complex since it is influenced by many factors such as motivation and learning habits. The high volume of features and tools provided by computer-based learning environments confounds the task of tracking student knowledge even further. Deep Learning models such as Long-Short Term Memory (LSTMs) and…
Descriptors: Time, Models, Artificial Intelligence, Bayesian Statistics
Westrick, Paul A.; Marini, Jessica P.; Shmueli, Doron; Young, Linda; Shaw, Emily J.; Ng, Helen – College Board, 2020
In May 2019, College Board published the first national operational SAT® validity study on the new SAT introduced in 2016. Based on data from more than 221,000 students across 169 four-year colleges and universities, the study showed that the SAT was essentially as effective as high school grades in predicting students' college performance and…
Descriptors: College Entrance Examinations, Test Validity, Prediction, Grades (Scholastic)
Matos-Díaz, Horacio – Education Policy Analysis Archives, 2021
Faculty members and their corresponding academic fields at the University of Puerto Rico at Bayamón are classified with regard to grading practices over time. Based on the effects on the intercept of the equations that predict the GPA and the proportion of student withdrawals observed in each of the 39,337 courses offered during 41 consecutive…
Descriptors: Grading, Educational Policy, Educational History, College Faculty
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
Butcher, Greg Q.; Rodriguez, Juan; Chirhart, Scott; Messina, Troy C. – Bioscene: Journal of College Biology Teaching, 2016
In order to increase students' awareness for and comfort with mathematical modeling of biological processes, and increase their understanding of diffusion, the following lab was developed for use in 100-level, majors/non-majors biology and neuroscience courses. The activity begins with generation of a data set that uses coin-flips to replicate…
Descriptors: Biology, Comparative Analysis, Simulation, Questionnaires
Bingham, Melissa A.; Solverson, Natalie Walleser – Journal of Student Affairs Research and Practice, 2016
First- to second-year retention rates are one metric reported by colleges and universities to convey institutional success to a variety of external constituents. But how much of a retention rate is institutional inputs, and how much can be understood by examining student inputs? The authors utilize multi-year, multi-institutional data to examine…
Descriptors: Public Colleges, Universities, College Students, School Holding Power
Nosofsky, Robert M.; Donkin, Chris – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
We report an experiment designed to provide a qualitative contrast between knowledge-limited versions of mixed-state and variable-resources (VR) models of visual change detection. The key data pattern is that observers often respond "same" on big-change trials, while simultaneously being able to discriminate between same and small-change…
Descriptors: Short Term Memory, Probability, Models, Prediction
Lowder, Matthew W.; Ferreira, Fernanda – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Two visual-world eye-tracking experiments investigated the role of prediction in the processing of repair disfluencies (e.g., "The chef reached for some salt uh I mean some ketchup ..."). Experiment 1 showed that listeners were more likely to fixate a critical distractor item (e.g., "pepper") during the processing of repair…
Descriptors: Prediction, Evidence, Eye Movements, Experiments
Bott, Lewis; Rees, Alice; Frisson, Steven – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Metonymic words have multiple related meanings, such as "college", as in the building ("John walked into the college") or the educational institution ("John was promoted by the college"). Most researchers have found support for direct access models of metonymy but one recent study, Lowder and Gordon (2013), found…
Descriptors: Reading Processes, Reading Rate, Ambiguity (Semantics), Accuracy
Herodotou, Christothea; Rienties, Bart; Verdin, Barry; Boroowa, Avinash – Journal of Learning Analytics, 2019
Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…
Descriptors: Prediction, Data Analysis, Higher Education, Distance Education
Kretzschmar, Franziska; Schlesewsky, Matthias; Staub, Adrian – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Two very reliable influences on eye fixation durations in reading are word frequency, as measured by corpus counts, and word predictability, as measured by cloze norming. Several studies have reported strictly additive effects of these 2 variables. Predictability also reliably influences the amplitude of the N400 component in event-related…
Descriptors: Word Frequency, Eye Movements, Diagnostic Tests, Prediction
Abbott, Matthew J.; Angele, Bernhard; Ahn, Y. Danbi; Rayner, Keith – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Readers tend to skip words, particularly when they are short, frequent, or predictable. Angele and Rayner (2013) recently reported that readers are often unable to detect syntactic anomalies in parafoveal vision. In the present study, we manipulated target word predictability to assess whether contextual constraint modulates…
Descriptors: Syntax, Experimental Psychology, Prediction, Context Effect