The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…

Scientific results are communicated visually in the literature through diagrams, visualizations, and photographs. In this thesis, we developed a figure processing pipeline to classify more than 8 million figures from PubMed Central into different figure types and study the resulting patterns of visual information as they relate to scholarly…

Sociolinguists have made considerable headway in identifying and describing the relationship between mobility, linguistic resources, and forms of inequality. Despite such advances, however, we argue that it is as important as ever to continue to rethink what kinds of phenomena are analyzed, the distinctions and categories that might be imposed on…

This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…

Classification, clustering and association mining are major tasks of data mining and have been widely used for knowledge discovery. Associative classification mining, the combination of both association rule mining and classification, has emerged as an indispensable way to support decision making and scientific research. In particular, it offers a…

Citizen science, in which volunteers work with professional scientists to conduct research, is expanding due to large online datasets. To plan projects, it is important to understand volunteers' motivations for participating. This paper analyzes results from an online survey of nearly 11000 volunteers in Galaxy Zoo, an astronomy citizen science…

Despite the recent technical and theoretical advances in the investigation of children's social relations, the inherent complexity of these methods may prevent their easy integration into the classroom. A simple and effective tool can be valuable for teachers who wish to investigate students' social realities in the classroom. Therefore, the…

Few research studies have systematically categorized the types of torture experienced around the world. The purpose of this study is to categorize the diverse traumatic events that are defined as torture, and determine how these torture types relate to demographics and symptom presentation. Data for 325 individuals were obtained through a…

The purpose of this study was to examine the behavioral and demographic characteristics of deaf males enrolled at state school for the Deaf. An analysis of student, family, and educational variables was conducted in order to provide a composite description of both the type and frequency of the offenses and of the offender. Participants were 90…

This paper reports on a study that explored the possibility of measuring distance education classes using the Media Sensor, a device designed to sample and record various electronic impulses generated during a distance education session. Research questions explored: (1) the ability of the Media Sensor to identify patterns in the audio and video…

The research reported here was designed to measure the abilities of school-age children to form and generalize "visual concepts" on the basis of their observation of prepared sets of art reproductions. The art reproduction sets displayed similarities based upon various visual attributes. Discrimination of the attributes common to any…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…