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Gutiérrez, Nuria; Rigobon, Valeria M.; Marencin, Nancy C.; Edwards, Ashley A.; Steacy, Laura M.; Compton, Donald L. – Scientific Studies of Reading, 2023
Purpose: Fourth grade typically involves shifting the instruction from "learning to read" to "reading to learn," which can cause students to struggle. However, early reading intervention guided by assessment has demonstrated effectiveness in preventing later reading difficulties (RD). This study presents a classification and…
Descriptors: Elementary School Students, Grade 1, Grade 4, Models
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Tong, Yao; Zhan, Zehui – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…
Descriptors: MOOCs, Online Courses, Learning Analytics, Prediction
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Shao, Lucy; Ieong, Martin; Levine, Richard A.; Stronach, Jeanne; Fan, Juanjuan – Strategic Enrollment Management Quarterly, 2022
Accurately forecasting course enrollment rates in higher education is of great concern in order to minimize unnecessary administrative costs as well as burden to both students and faculty. This research aimed to first recreate course enrollment predictions based on a conditional probability analysis using student data from San Diego State…
Descriptors: Artificial Intelligence, Prediction, Enrollment, Courses
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Pierratos, Theodoros – Physics Education, 2021
Due to the conditions imposed worldwide by the pandemic, students' access to school laboratories is limited, if not impossible. To provide students with raw experimental data to assess, analyse and reason out, we have filmed experiments that can be used in a flipped classroom. This paper presents an experiment which makes use of an array of six…
Descriptors: Science Instruction, Physics, Flipped Classroom, Science Laboratories
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Depren, Serpil Kilic – Journal of Baltic Science Education, 2018
Turkey is ranked at the 54th out of 72 countries in terms of science achievement in the Programme for International Student Assessment (PISA) survey conducted in 2015, which is a very big disappointment for that country. The aim of this research was to determine factors affecting Turkish students' science achievements in order to identify the…
Descriptors: Foreign Countries, Prediction, Science Achievement, Multivariate Analysis
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Chen, Su-Yen; Fang, Sheng-Ping – Journal of Research in Reading, 2015
This study set out to develop a Chinese Author Recognition Test (CART) that might be used as a measure of objective print exposure for college students in Taiwan. We found that there is a linkage between print exposure and general reading achievement for college students. We also found that, among self-reported reading habits, comparative reading…
Descriptors: Authors, Recognition (Psychology), Reading Habits, Chinese
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Cohen, Ira L.; Liu, Xudong; Hudson, Melissa; Gillis, Jennifer; Cavalari, Rachel N. S.; Romanczyk, Raymond G.; Karmel, Bernard Z.; Gardner, Judith M. – Journal of Autism and Developmental Disorders, 2016
In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without ASD. Discrimination accuracy exceeded 80%,…
Descriptors: Classification, Regression (Statistics), Children, Autism
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Varsamis, Panagiotis; Gkouvatzi, Anastasia; Nanou, Andromachi; Ntarilli, Ioanna; Simeonidou, Magdalini – Journal of the International Association of Special Education, 2020
The purpose of the present study is to examine the properties of a curriculum-based pre-referral screening tool. According to the current Greek preschool curriculum, preschoolers' participation is evaluated across five core axes, namely Play, Routines, Daily Activities, Explorations, and Organized Activities. Teacher evaluations sorted 201…
Descriptors: Preschool Curriculum, Screening Tests, Foreign Countries, Prereferral Intervention
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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
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Rodrigues, Rodrigo Lins; Ramos, Jorge Luis Cavalcanti; Silva, João Carlos Sedraz; Dourado, Raphael A.; Gomes, Alex Sandro – International Journal of Distance Education Technologies, 2019
The increasing use of the Learning Management Systems (LMSs) is making available an ever-growing, volume of data from interactions between teachers and students. This study aimed to develop a model capable of predicting students' academic performance based on indicators of their self-regulated behavior in LMSs. To accomplish this goal, the authors…
Descriptors: Management Systems, Teacher Student Relationship, Distance Education, College Students
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Precup, Radu-Emil; Hedrea, Elena-Lorena; Roman, Raul-Cristian; Petriu, Emil M.; Szedlak-Stinean, Alexandra-Iulia; Bojan-Dragos, Claudia-Adina – IEEE Transactions on Education, 2021
This article proposes an approach based on experiments to teach optimization technique (OT) courses in the Systems Engineering curricula at undergraduate level. Artificial intelligence techniques in terms of nature-inspired optimization algorithms and neural networks are inserted in the lecture and laboratory parts of the syllabus. The experiments…
Descriptors: Engineering Education, Teaching Methods, Systems Approach, Undergraduate Students
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Aurora, Tarlok S.; Brunner, Bernard J. – Physics Education, 2011
In introductory physics, students learn that an object tossed upward has a constant downward acceleration while going up, at the highest point and while falling down. To demonstrate this concept, a self-propelled fan cart system is used on a frictionless track. A quick push is given to the fan cart and it is allowed to move away on a track under…
Descriptors: Physics, Motion, Science Instruction, Scientific Principles
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Kranjc, T.; Razpet, N. – Physics Teacher, 2011
Many physics textbooks start with kinematics. In the lab, students observe the motions, describe and make predictions, and get acquainted with basic kinematics quantities and their meaning. Then they can perform calculations and compare the results with experimental findings. In this paper we describe an experiment that is not often done, but is…
Descriptors: Physics, Prediction, Motion, Science Instruction
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Kitsantas, Anastasia; Kitsantas, Panagiota; Kitsantas, Thomas – International Education Journal: Comparative Perspectives, 2012
The purpose of this exploratory study was to assess the relative importance of a number of variables in predicting students' interest in math and/or computer science. Classification and regression trees (CART) were employed in the analysis of survey data collected from 276 college students enrolled in two U.S. and Greek universities. The results…
Descriptors: Cross Cultural Studies, Computer Science, Mathematics, Student Interests
Kim, Sung-Ho – 1991
Among the computer-based methods used for the construction of trees such as AID, THAID, CART, and FACT, the only one that uses an algorithm that first grows a tree and then prunes the tree is CART. The pruning component of CART is analogous in spirit to the backward elimination approach in regression analysis. This idea provides a tool in…
Descriptors: Algorithms, Decision Making, Equations (Mathematics), Prediction
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