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Showing 1 to 15 of 151 results Save | Export
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Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
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Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
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Yang, Fan; Frye, Douglas – Developmental Psychology, 2018
Across three studies, we examined 4- to 7-year-olds' predictions of goal-directed behaviors when goals conflict with preferences. In Study 1, when presented with stories in which a character had to act against basic preferences to achieve an interpersonal goal (e.g., playing with a partner), 6- and 7-year-olds were more likely than 4- and…
Descriptors: Preferences, Young Children, Prediction, Goal Orientation
Weigand, Robert – ProQuest LLC, 2017
An extensive literature review identified emotional intelligence and metacognition had not been examined in medical education as integrated concepts in the reflective practice of medical residents. Continued research into the independent application of these concepts in medical education maintains a perspective that has permeated medical…
Descriptors: Emotional Intelligence, Metacognition, Correlation, Taxonomy
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Liu, Yang; Yang, Ji Seung – Journal of Educational and Behavioral Statistics, 2018
The uncertainty arising from item parameter estimation is often not negligible and must be accounted for when calculating latent variable (LV) scores in item response theory (IRT). It is particularly so when the calibration sample size is limited and/or the calibration IRT model is complex. In the current work, we treat two-stage IRT scoring as a…
Descriptors: Intervals, Scores, Item Response Theory, Bayesian Statistics
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Venkadasalam, Vaunam P.; Ganea, Patricia A. – Journal of Cognition and Development, 2018
This study examined whether children 4- and 5-years-old (N = 156) can revise a physical science misconception from different types of picture books. A realistic fiction book and informational book with identical images matched in word count and reading difficulty level were compared to a control book about plants. In the pretest and posttest,…
Descriptors: Young Children, Misconceptions, Scientific Concepts, Comparative Analysis
Liberadzki, Gregory – ProQuest LLC, 2017
This qualitative study used 97 participants to explore differences in the expression of state, trait, social interest, and taking charge between students with military experience and students without such experience. The results indicated a significant correlation of the scores on the Belonging/Social Interest Subscale (BSI) with trait anxiety, as…
Descriptors: College Students, Personality Traits, Anxiety, Measures (Individuals)
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James, Terry – College Quarterly, 2018
The purpose is to improve insights and educational results by applying analytic methods. The focus is on the mathematics applied to learn from the kind of data available to most classes such as final examination marks or homework grades. The sample is 249 students learning introductory college statistics. The result is a predictive model for…
Descriptors: Data Analysis, Mathematics Instruction, Introductory Courses, Statistics
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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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Hawker, Morgan J.; Dysleski, Lisa; Rickey, Dawn – Journal of Chemical Education, 2016
Metacognitive monitoring of one's own understanding plays a key role in learning. An aspect of metacognitive monitoring can be measured by comparing a student's prediction or postdiction of performance (a judgment made before or after completing the relevant task) with the student's actual performance. In this study, we investigated students'…
Descriptors: Chemistry, Science Instruction, Metacognition, Progress Monitoring
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Kharkhurin, Anatoliy V. – Creativity Research Journal, 2017
The study initiated a project exploring a contribution of creative perception to creative behavior. This study investigated the factors in creative self-perception contributing to creative potential. Creative potential was operationalized as divergent thinking and measured by the Abbreviated Torrance Test for Adults. Creative self-perception was…
Descriptors: Self Efficacy, Creative Thinking, Creativity Tests, Prediction
Ostrow, Korinn; Donnelly, Christopher; Adjei, Seth; Heffernan, Neil – Grantee Submission, 2015
Student modeling within intelligent tutoring systems is a task largely driven by binary models that predict student knowledge or next problem correctness (i.e., Knowledge Tracing (KT)). However, using a binary construct for student assessment often causes researchers to overlook the feedback innate to these platforms. The present study considers a…
Descriptors: Intelligent Tutoring Systems, Models, Difficulty Level, Scores
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MacGregor, Philip C.; O'Reilly, Frances L.; Matt, John – Journal of Education and Training Studies, 2017
This study examined the following question: What is the relationship, if any, between COMPASS placement scores and the student success in the first online course during the students first semester? Discriminant function analysis was used to examine the relationship. This study used existing data from new students, who took the COMPASS placement…
Descriptors: Scores, Student Placement, Testing, Two Year Colleges
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Liu, Yuan; Hou, Shumeng – School Psychology International, 2018
Among the non-cognitive factors that influence academic achievement, intrinsic motivation has been found to be a potential reciprocal factor. The present study aims to determine the causal relationship between other types of motivation and academic achievement. For this purpose, a large-scale data survey, the National Education Longitudinal Study…
Descriptors: Correlation, Academic Achievement, Student Motivation, Attribution Theory
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Gurcay, Deniz; Gulbas, Etna – Journal of Education and Training Studies, 2018
The purpose of this research is to investigate the relationships between high school students' learning approaches and logical thinking abilities and their understandings of heat, temperature and internal energy concepts. Learning Approach Questionnaire, Test of Logical Thinking and Three-Tier Heat, Temperature and Internal Energy Test were used…
Descriptors: Energy, Heat, Scientific Concepts, Logical Thinking
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