The active engagement of parents in the educational experiences of their children has been suggested to support high academic achievement for the children. In the project setting, an urban elementary school, educators were struggling to find effective strategies to promote family involvement in their children's education. The purpose of this…

Intelligence tests are important tools in psychology and education; however, the stability of scores and use of intelligence tests has always been surrounded by some controversy. Since its conception in 1905, intelligence testing has become one of the most prominent tasks for school psychologists worldwide. Today's need for frequent use of…

The purpose of this study is to evaluate how learning disabilities (LDs), in combination with accommodations, affect the performance of a decision-tree to predict the stability of academic behaviour of undergraduate engineering students. Additionally, this study presents several examples to illustrate how a college could use the resultant model to…

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…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

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…

The Canton of Zurich is characterized by strong socio-spatial polarization typical for large and dynamic metropolitan areas. A helpful way to depict spatial dimensions is spatial typologies. Existing spatial categorizations of the Canton of Zurich are limited for education because they focus primarily on economic factors, which are not the only…

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…

In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…

Across the United States, students face increasingly high expectations of what they should know and be able to do upon completing high school. However, too few state policies take into consideration how the pathway to graduation may look different for English Learners (ELs), particularly adolescent newcomers who have limited formal education. Many…

Background: Data-driven decision making continues to be a common feature of educational reform agendas across the globe. In many U.S. schools, the teacher team meeting is a key setting in which data use is intended to take place, with the aim of planning instruction to address students' needs. However, most prior research has not examined how the…

Effectively educating the large English learner population requires policymakers to ensure developmentally appropriate settings and services throughout the time students are learning English, as well as during their transition to fluent English proficient status--a process termed "reclassification." Using longitudinal student-level data…

English language proficiency assessments (ELPA) are used in the United States to measure annually the English language progress and proficiency of English-language learners (ELLs), a subgroup of language minority students who receive language acquisition support mandated and largely funded by Title III (NCLB, 2001). ELPA proficient and…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

For the study we report here we used the theoretical framework of organizational justice to examine academic administrator's perceptions of resource distribution decisions. We asked deans, school directors, and department chairs in one midwestern state about their perceptions of the fairness and likelihood of use of various distribution principles…