Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…

With the rapid advances in E-learning systems, personalisation and adaptability have now become important features in the education technology. In this paper, we describe the development of an architecture for A Personalised and Adaptable E-Learning System (APELS) that attempts to contribute to advancements in this field. APELS aims to provide a…

Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…

Natural Language Generation (NLG) systems can make data accessible in an easily digestible textual form; but using such systems requires sophisticated linguistic and sometimes even programming knowledge. We have designed and implemented an environment for creating and modifying NLG templates that requires no programming knowledge, and can operate…

Automated scoring by means of Latent Semantic Analysis (LSA) has been introduced lately to improve the traditional human scoring system. The purposes of the present study were to develop a LSA-based assessment system to evaluate children's Chinese sentence construction skills and to examine the effectiveness of LSA-based automated scoring function…

Various writing assistance tools have been developed through efforts in the areas of natural language processing with different degrees of success of curriculum integration depending on their functional rigor and pedagogical designs. In this paper, we developed a system, WriteAhead, that provides six types of suggestions when non-native graduate…

In this paper, we present a novel approach for semiautomatic question generation to support academic writing. Our system first extracts key phrases from students' literature review papers. Each key phrase is matched with a Wikipedia article and classified into one of five abstract concept categories: Research Field, Technology, System, Term, and…

Purpose: The purpose of this paper is to investigate an idea of producing an assistive and augmentative communication (AAC) tool that uses natural human computer interfacing to accommodate the disabilities of children with cerebral palsy (CP) and assist them in their daily communication. Design/methodology/approach: The authors developed a…

Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners'…

As part of the research carried out at the University of California, Santa Barbara's Center for Information Technology and Society (CITS), the Paper Authentication and Integrity Research (PAIR) project was launched. We began by investigating how one recent technology affected student learning outcomes. One aspect of this research was to study the…

Recent research in learning technologies has demonstrated many promising contributions from the use of ontologies and semantic web technologies for the development of advanced learning environments. In spite of those benefits, ontology development and maintenance remain the key research challenges to be solved before ontology-enhanced learning…

The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…

Presents a new extraction pattern, modified Document Type Definition (mDTD), which relies on analytical interpretation to identify extraction target from the contents of Web documents. Experiments with 330 Korean and 220 English Web documents on audio and video shopping sites yielded an average extraction precision of 91.3% for Korean and 81.9%…

The objective of this research is to exploit Chinese language processing techniques for temporal information extraction and concept reasoning. Outlines the characteristics of Chinese time system and temporal expressions. Discusses temporal knowledge representations. Presents a general framework for the storage and manipulation of temporal…

Describes a graphic modeling, natural language processing system, VerbalImage, which mimics features of human shape reasoning. Subjects read the same text description and were able to recognize the image generated by the computer from among a series of other computer-generated images. Performance on task was as good as for a control group…