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Showing 1 to 15 of 46 results Save | Export
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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
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Ma, Qiuli; Starns, Jeffrey J.; Kellen, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
We explored a two-stage recognition memory paradigm in which people first make single-item "studied"/"not studied" decisions and then have a chance to correct their errors in forced-choice trials. Each forced-choice trial included one studied word ("target") and one nonstudied word ("lure") that received the…
Descriptors: Recognition (Psychology), Memory, Decision Making, Error Correction
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Iannario, Maria; Manisera, Marica; Piccolo, Domenico; Zuccolotto, Paola – Sociological Methods & Research, 2020
In analyzing data from attitude surveys, it is common to consider the "don't know" responses as missing values. In this article, we present a statistical model commonly used for the analysis of responses/evaluations expressed on Likert scales and extended to take into account the presence of don't know responses. The main objective is to…
Descriptors: Response Style (Tests), Likert Scales, Statistical Analysis, Models
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Ramesh, Arti; Goldwasser, Dan; Huang, Bert; Daume, Hal; Getoor, Lise – IEEE Transactions on Learning Technologies, 2020
Maintaining and cultivating student engagement is critical for learning. Understanding factors affecting student engagement can help in designing better courses and improving student retention. The large number of participants in massive open online courses (MOOCs) and data collected from their interactions on the MOOC open up avenues for studying…
Descriptors: Online Courses, Learner Engagement, Student Behavior, Success
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Best, Ryan M.; Goldstone, Robert L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Categorical perception (CP) effects manifest as faster or more accurate discrimination between objects that come from different categories compared with objects that come from the same category, controlling for the physical differences between the objects. The most popular explanations of CP effects have relied on perceptual warping causing…
Descriptors: Bias, Comparative Analysis, Models, College Students
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Nyatanga, Phocenah; Mukorera, Sophia – Innovations in Education and Teaching International, 2019
This article uses a logistic probability distribution approach to examine the effect of lecture attendance, aptitude test results, individual heterogeneity and pedagogic intervention on student performance for first-year microeconomics and second-year macroeconomics modules at a leading South African university. The research was motivated by the…
Descriptors: Lecture Method, Attendance, Intervention, Academic Achievement
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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
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Gruver, Nate; Malik, Ali; Capoor, Brahm; Piech, Chris; Stevens, Mitchell L.; Paepcke, Andreas – International Educational Data Mining Society, 2019
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…
Descriptors: Models, Course Selection (Students), Enrollment, Decision Making
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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
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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
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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
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Siegel, Lynn L.; Kahana, Michael J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Repeating an item in a list benefits recall performance, and this benefit increases when the repetitions are spaced apart (Madigan, 1969; Melton, 1970). Retrieved context theory incorporates 2 mechanisms that account for these effects: contextual variability and study-phase retrieval. Specifically, if an item presented at position "i" is…
Descriptors: Memory, Recall (Psychology), Context Effect, Cues
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Rummel, Jan; Marevic, Ivan; Kuhlmann, Beatrice G. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Intentional forgetting of previously learned information is an adaptive cognitive capability of humans but its cognitive underpinnings are not yet well understood. It has been argued that it strongly depends on the presentation method whether forgetting instructions alter storage or retrieval stages (Basden, Basden, & Gargano, 1993). In…
Descriptors: Information Retrieval, Memory, Models, Recall (Psychology)
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Glazer, Hilda R.; Murphy, John A. – American Journal of Distance Education, 2015
The first-year experience for students enrolled in an online degree program, particularly the orientation and the first course experience, is critical to success and completion. The experience of one online university in improving persistence through enhancing orientation and the first academic course is presented. Factors impacting persistence…
Descriptors: Online Courses, Academic Persistence, College Students, Distance Education
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Najafabadi, Maryam Omidi; Zamani, Maryam; Mirdamadi, Mehdi – Journal of Education for Business, 2016
The authors used Ajzen's theory of planned behavior and Shapero's entrepreneurial event model as well as entrepreneurial cognition theory to identify the relationship among entrepreneurial skills, self-efficacy, attitudes toward entrepreneurship, psychological traits, social norms, perceived desirability, social support, and entrepreneurial…
Descriptors: Models, Entrepreneurship, Agricultural Education, Intention
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