High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…

Student rating instruments are recognised to be valid indicators of effective instruction, providing a valuable tool to improve teaching. However, free-form text comments obtained from the open-ended question component of such surveys are only infrequently analysed comprehensively. We employed an innovative, systematic approach to the analysis of…

This paper analyzes some current trends in Learning Management System's analytics. It points out that while the analysis of access log patterns -- clickometry--is by far the most common form of analysis available in LMS systems its value is limited at best. Being a measure of behavior in its most basic sense clickometry is best suited for…

The role of interference as a primary determinant of forgetting in memory has long been accepted, however its role as a contributor to poor comprehension is just beginning to be understood. The current paper reports two studies, in which speed-accuracy tradeoff and eye-tracking methodologies were used with the same materials to provide converging…

Purpose: This paper aims to address the problem of enhancing the selection of titles offered by a digital library, by analysing the differences in these titles when they are cited by local authors in their publications and when they are listed in the digital library offer. Design/methodology/approach: Text mining techniques were used to identify…

The neural circuits underlying initial sensory processing of somatic information are relatively well understood. In contrast, the processes that go beyond primary somatosensation to create more abstract representations related to the body are less clear. In this review, we focus on two classes of higher-order processing beyond Somatosensation.…

Purpose: This study investigated the effects of a communication partner instruction strategy for parents of children using augmentative and alternative communication (AAC) on the communicative turn taking of their children. Instruction was provided within storybook-reading contexts. Method: Two single-subject multiple-probe-across-participants…

We demonstrate that right-handed participants make speeded classification responses to pairs of objects that appear in standard co-locations for right-handed actions relative to when they appear in reflected locations. These effects are greater when participants "weight" information for action when deciding if 2 objects are typically…

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…

The authors identify 2 major types of statistical data from which semantic representations can be learned. These are denoted as "experiential data" and "distributional data". Experiential data are derived by way of experience with the physical world and comprise the sensory-motor data obtained through sense receptors. Distributional data, by…

Useful as a classroom text and self-teaching tool, this book outlines the process of designing and reporting action research projects in schools. The underlying assumption of the book is that research is not a domain that belongs only to academics, but is a powerful approach that can be used by practitioners to contribute to school renewal and…

This paper outlines the development of techniques for computer-based personality assessment from sentence completions. The One-Word Sentence Completion (OWSC) instrument was designed to elicit data suitable for machine processing, while retaining most of the advantages of a free-response format. Two operative scoring systems are described. The…

Analyzes relevance assessments of topical descriptors for bibliographic records for two dimensions: (1) a vertical conceptual hierarchy of broad to narrow descriptors, and (2) a horizontal linkage of related terms. The data were analyzed for a semantic distance and semantic direction effect as postulated by the Semantic Distance Model. (Author/LRW)

The technique developed in this research paper for analyzing the information in charts and graphs is designed to reveal design flaws in the display that may prevent them from conveying information effectively. This analytic scheme requires isolating four types of constituents in a display and specifying their structure and interrelations at the…

Describes the hyperterm system REALIST (Retrieval Aids by Linguistics and Statistics) with emphasis on its semantic component, which generates term relations from free-text input. Experiments with various similarity measures are discussed, and the quality of the associated terms is evaluated using term recall and term precision measures. (22…