Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

While a substantial body of work has shown that higher-SES students tend to apply to more selective colleges than their lower-SES counterparts, we know relatively less about "why" students differ in their application behavior. In this study, we draw upon a sociological approach to educational stratification to unpack the SES-based gap in…

The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…

The purpose of this study is to review journal papers on educational big data research published from 2010 to 2018. A total of 143 papers were selected. The papers were characterized based on three dimensions: (a) educational goals; (b) educational problems addressed; and (c) big data analytical techniques used. A qualitative content analysis…

The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…

Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…

Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…

Although reports of academic cheating are abundant, there are relatively few papers in the literature that focus on cheating in the context of science courses and even fewer that address dishonest practices, such as "cooking" or fudging data, within the classroom laboratory. This paper briefly reviews the existing literature on academic dishonesty…

This paper examined changes in human immunodeficiency virus (HIV)-related risk behaviors among high school students in the United States during 1991-2005. Data from 8 national Youth Risk Behavior Surveys conducted during that period were analyzed. During 1991-2005, the percentage of US high school students engaging in HIV-related sexual risk…

Based on data from the Safe School Study conducted by the National Institute of Education, this report focuses on how students are affected by their perceptions of danger or threatening situations at school. A review of major research studies on student fear provides the theoretical framework for a discussion of the most probable victims of fear,…

The present research examined whether high school students ethically justify bullying behaviour within a school context. Ten students, purposefully selected because of their specific roles within the bully/victim paradigm, participated in semi-structured interviews. Data analysis using the constant comparative method associated with grounded…

This introduction to second language program evaluation begins with a rationale outlining the major issues involved in program evaluation. Procedures for evaluation are described, and examples are offered of goal statements, sub-goal statements, curriculum objectives, and learning objectives. Guidelines for judging a statement of aims are listed.…

Validity is a central issue in use of self-report data for the investigation of teacher thinking. "Triangulation," or use of several data sets to test, corroborate and elaborate each other, is one method for increasing validity of findings. This paper illustrates a process of triangulation of data obtained by three different data…

The importance of using data collection and analysis procedures to monitor academic and social behavior progress of students with emotional and behavioral disorders is the focus of this article. After reviewing literature supporting the efficacy of data collection procedures used in classrooms for students with disabilities, issues regarding the…