We address the problem of predicting the correctness of the student's response on the next exam question based on their previous interactions in the course of their learning and evaluation process. We model the student performance as a dynamic problem and compare the two major classes of dynamic neural architectures for its solution, namely the…

Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…

Knowledge components (KCs) define the underlying skill model of intelligent educational software, and they are critical to understanding and improving the efficacy of learning technology. In this research, we show how learning curve analysis is used to fit a KC model--one that was created after use of the learning technology--which can then be…

The increasing use of educational technologies in classrooms is producing vast amounts of process data that capture rich information about learning as it unfolds. The field of educational data mining has made great progress in using log data to build models that improve instruction and advance the science of learning. Thus far, however, the…

The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role. Previous studies commonly focused on the construction of predictors tailored to a formal…

What is a viable theoretical scheme that can guide school curriculum deliberations, maintaining both a global and a local quality OR which curriculum theory has the power of being adopted universally and the versatility of being adapted locally? Can the notion of "Glocal" coined in the field of sociology (2010) be regarded as a meaningful and…

In this work is proposed that an adaptation tool that is for the automatic generation and personalization of courses of a general-purpose LCMS that is named A Tutor. A Tutor is a Learning Content Management System. The architecture of the adaptation tool that allows a personalized sequencing of LOs in A Tutor for the learner's learning goals,…

For an intelligent tutoring system (ITS) to earn its "I", it must be able to (1) accurately diagnose students' knowledge structures, skills, and/or learning styles using principles, rather than pre-programmed responses, to decide what to do next; and (2) adapt instruction accordingly. While some maintain that remediation actually…

This paper discusses the following four changes in how we use sources of information or representations of knowledge: (1) from tangible to intangible media--how sources of information and representations of knowledge are manifested or packaged on the Internet; (2) from books and journals to services and databases--how such knowledge packages are…

Discusses the conceptual framework for developing a rapid-prototype high-performance knowledge base for the four mission agencies of the United States Department of Agriculture and their university partners. Describes the background of the project and methods used for establishing the requirements; examines issues and problems surrounding semantic…

Compares the indexing structure of icons with principles used for traditional indexing. A sample of 15 library homepages was drawn from the total population of the United States library homepages. Semiotics theory was used to study the icons. Analysis and results are outlined. (AEF)

Suggests a postmodern theory regarding knowledge organizations as active constructions of a perceived conception of particular discourse communities in the company, organization or knowledge fields for which the knowledge organization is intended. In this view, the interpretive process in knowledge organization and the culture and social context…

People find difficulty in performing syllogistic reasoning. This paper outlines some reasons for poor syllogistic reasoning. Representational systems (RS) used in presenting and evaluating syllogisms can be distinguished in terms of attributes such as specificity, expressiveness, and abstraction. Graphical RSs have pedagogical potential because of…

This paper describes dissertation research using cognitive psychology in the design of museum exhibit labels in an effort to increase learning and memory in museum visitors. Three studies focused on factors affecting whether or not using a question (instead of a statement) as a title on a museum exhibit label would increase the visitor's memory of…

Suggests that knowledge organization must encompass theories that focus on the more fundamental and less technical view and raises the questions of epistemology and general linguistic theory. Focuses on the meaning aspect of language and the terminological aspect of knowledge organization. Considers theories of terminology, language and meaning,…