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Paterson, Kevin; Guerrero, Adam – Research in Higher Education Journal, 2023
Data from a moderately-selective state university in the Midwest is used to cross-examine the most appropriate data analytical techniques for predicting versus explaining college student persistence decisions. The current research provides an overview of the relative benefits of models specializing in prediction versus explanation with particular…
Descriptors: Prediction, Data Analysis, College Students, School Holding Power
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Dignum, Frank – International Journal of Social Research Methodology, 2023
The general feeling is that no predictions can be made based on agent-based social simulations. The outcomes of social simulations are based on the behaviors of individuals and their interactions. Behavioral models are always incomplete and often, also incorrect with respect to real behavior and thus the outcomes of agent-based social simulations…
Descriptors: Prediction, Predictive Validity, Educational Policy, Policy Formation
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Yu, Renzhe; Li, Qiujie; Fischer, Christian; Doroudi, Shayan; Xu, Di – International Educational Data Mining Society, 2020
In higher education, predictive analytics can provide actionable insights to diverse stakeholders such as administrators, instructors, and students. Separate feature sets are typically used for different prediction tasks, e.g., student activity logs for predicting in-course performance and registrar data for predicting long-term college success.…
Descriptors: Prediction, Accuracy, College Students, Success
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Bastianello, Tamara; Brondino, Margherita; Persici, Valentina; Majorano, Marinella – Journal of Research in Childhood Education, 2023
The present contribution aims at presenting an assessment tool (i.e., the TALK-assessment) built to evaluate the language development and school readiness of Italian preschoolers before they enter primary school, and its predictive validity for the children's reading and writing skills at the end of the first year of primary school. The early…
Descriptors: Literacy, Computer Assisted Testing, Italian, Language Acquisition
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Olive, David Monllao; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – IEEE Transactions on Learning Technologies, 2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…
Descriptors: Prediction, Identification, At Risk Students, Online Courses
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Lamm, Kevan W.; Sheikh, Emana; Carter, Hannah S.; Lamm, Alexa J. – Journal of Leadership Education, 2017
Finding strategies to increase the motivation of students, their connection with the material, and retention of the content, has been very important within leadership education. Previous research studies have shown that personality traits can predict desired outcomes, including goal orientation or motivational disposition. However, there have not…
Descriptors: Undergraduate Students, Goal Orientation, Predictive Validity, Prediction
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Kontas, Hakki; Ă–zpolat, Esen Turan – International Journal of Evaluation and Research in Education, 2017
The purpose of this study was to investigate exam scores' predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear…
Descriptors: Scores, Prediction, Predictive Validity, School Readiness
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Gellert, Anna S.; Elbro, Carsten – Journal of Learning Disabilities, 2017
A few studies have indicated that dynamic measures of phonological awareness may contribute uniquely to the prediction of early reading development. However, standard control measures have been few and limited by floor effects, thus limiting their predictive value. The purpose of the present study was to examine the predictive value of a dynamic…
Descriptors: Reading Difficulties, Early Reading, Phonological Awareness, Longitudinal Studies
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Hawthorne, Katrice A.; Bol, Linda; Pribesh, Shana – Journal of Experimental Education, 2017
Rubric-referenced calibration and the interaction between writing achievement and calibration, a measure of the relationship between one's performance and the accuracy of one's judgments, were investigated. Undergraduate students (N = 596) were assigned to one of three calibration conditions: (a) global, (b) global and general criteria, or (c)…
Descriptors: Accuracy, Writing Exercises, Task Analysis, Scoring Rubrics
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Ramanarayanan, Vikram; Lange, Patrick; Evanini, Keelan; Molloy, Hillary; Tsuprun, Eugene; Qian, Yao; Suendermann-Oeft, David – ETS Research Report Series, 2017
Predicting and analyzing multimodal dialog user experience (UX) metrics, such as overall call experience, caller engagement, and latency, among other metrics, in an ongoing manner is important for evaluating such systems. We investigate automated prediction of multiple such metrics collected from crowdsourced interactions with an open-source,…
Descriptors: Automation, Prediction, Man Machine Systems, Open Source Technology
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Bloemer, William; Day, Scott; Swan, Karen – Online Learning, 2017
In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…
Descriptors: Courses, Success, Academic Persistence, School Holding Power
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Corrigan, Matthew J. – Journal of Alcohol and Drug Education, 2017
This study sought to develop a short version of the ADSI, and investigate its psychometric properties. Methods: This is a secondary analysis. Analysis to determine the Cronbach's Alpha, correlations to determine concurrent criterion validity and known instrument validity and a logistic regression to determine predictive validity were conducted.…
Descriptors: Psychometrics, Correlation, Screening Tests, Statistical Analysis
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Hodara, Michelle; Lewis, Karyn – Regional Educational Laboratory Northwest, 2017
This report is a companion to a study that found that high school grade point average was a stronger predictor of performance in college-level English and math than were standardized exam scores among first-time students at the University of Alaska who enrolled directly in college-level courses. This report examines how well high school grade…
Descriptors: Grade Point Average, College Students, Academic Achievement, High School Graduates
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Fick, Sarah J.; Songer, Nancy Butler – Journal of Education in Science, Environment and Health, 2017
Recent reforms emphasize a shift in how students should learn and demonstrate knowledge of science. These reforms call for students to learn content knowledge using science and engineering practices, creating integrated science knowledge. While there is existing literature about the development of integrated science knowledge assessments, few…
Descriptors: Climate, Middle School Students, Integrated Activities, Scientific Literacy
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Ling, Jiying; Robbins, Lorraine B. – Journal of School Nursing, 2017
The purpose of this study was to evaluate the psychometric properties of a Perceived Benefits Scale, a Perceived Barriers Scale, and a Physical Activity Enjoyment Scale with data from a group randomized controlled trial (RCT) and a test-retest study with 1-week interval. In the group RCT at baseline and Week 17, 1,012 fifth- to eighth-grade girls…
Descriptors: Psychometrics, Females, Physical Activity Level, Randomized Controlled Trials