At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…

Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…

Classification testing has been widely used to make categorical decisions by determining whether an examinee has a certain degree of ability required by established standards. As computer technologies have developed, classification testing has become more computerized. Several approaches have been proposed and investigated in the context of…

The continuously growth of learning resources available in on-line repositories has raised the concern for the development of automated methods for quality assessment. The current existence of on-line evaluations in such repositories has opened the possibility of searching for statistical profiles of highly-rated resources that can be used as…

The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. Machine learning…

It is commonly argued that a key challenge for e-learning is to encourage learner participation. Even though this challenge has received increased attention by researchers, little effort has been put into developing a sound theoretical understanding of what online participation actually is and how it may be studied empirically. This paper examines…

As course management systems (CMS) gain popularity in facilitating teaching. A forum is a key component to facilitate the interactions among students and teachers. Content analysis is the most popular way to study a discussion forum. But content analysis is a human labor intensity process; for example, the coding process relies heavily on manual…

A discriminatory process that sorts individuals on the basis of their estimated value or worth reaches into every aspect of individual life today. This process is referred to as the panoptic sort, the all-seeing eye of the difference machine that guides the global capitalist system. The panoptic sort is a kind of high-tech, cybernetic triage that…

Reviews distance education advances and suggests prospects for the future. The roles of the federal government and state governments are discussed, a classification of technology-based information systems is presented, the likelihood of a shift from rural to urban uses of distance education is suggested, and slow-scan video systems are described…

EDUCAUSE Core Data Service Fiscal Year 2006 Summary Report summarizes much of the data collected through the 2006 EDUCAUSE core data survey about campus information technology (IT) environments at 933 colleges and universities in the U.S. and abroad. The report presents aggregates of data through more than 100 tables and accompanying descriptive…

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…