Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy…

Background: Tobacco smoke exposure (TSE), defined as secondhand smoke (SHS) and third-hand smoke (THS), is associated with negative health consequences. This study's objective was to assess the associations between home TSE status and school engagement, school success, and afterschool activity participation among school-aged children. Methods: We…

This study reports achievement and growth from kindergarten to fourth grade for three groups of English Learners (ELs): (a) ever-ELs; (b) ELs consistently eligible for service; and (c) EL and Special Education dually-identified students. All three EL groups had lower test scores than never-ELs throughout K-4. In math, ELs grew more than never-ELs…

In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…

In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

Statement of Purpose and Method of Study: Historically, Mississippi has lagged behind the rest of the nation in student achievement and funding for education. This comparative quantitative study investigated whether significant differences in student achievement as measured by mean composite ACT scores of high school juniors in Mississippi public…

This article explores the associations between the achievement of economically disadvantaged students and the presence of state policies that include student achievement in teacher evaluations. We looked at student achievement across all 50 states from 2007 through 2013. A simple comparison of states with and without the policy suggested that…

In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…

Although reading is an essential skill for college success, little is known about how college students with and without disabilities read within their actual college curriculum. In the present article, we report on two studies addressing this issue. Within study 1, we developed and validated curriculum-based oral reading fluency measures using a…

This study aims at testing the generalisability of Marsh's Internal/External (I/E) frame of reference model as well as its Dimensional Comparison Theory (DCT) extension in a sample of United Arab Emirates (UAE) high school students. Relationship between self-concept and achievement in Arabic, English and mathematics were explored. A sample of 990…

This study aimed to establish and understand the conceptual confusion between teaching quality and teacher quality and design a path for their distinction. The study conducted searches on ERIC, ScienceDirect, JSTOR, Sage Journals, Sage Knowledge, Web of Science, and random Google search engine utilization for teaching quality, teacher quality,…