In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model that allows prediction of student details. Intelligent Tutoring System (ITS) is a system that uses Feed forward Backpropagation and it has been trained with a group of student data to predict student results. Various tes...

Tests targeting the upper limits of student ability could aid students in their learning. This article gives an overview of an approach to the construction of such tests in programming, together with ideas on how to implement and refine them within a learning management system.

The Trends in International Mathematics and Science studies provide country-level data for tracking changes in student achievement over time. In this paper the author has developed a method for identifying and monitoring trends in student achievement above or below any specified cut-point on these tests. The method involved the use of the Foster, Greer, and Thorbecke indices, as well as a modif...

New Zealand’s compulsory education system produces good outcomes for most students, as evidenced by our strong performance in international tests. However, despite large funding increases, achievement levels remain unacceptably low for some groups. Student achievement can be raised by improving the quality of teaching, which the evidence shows is the largest in-school influence on student outco...

A FOUR-WEEK ONLINE INFORMATION LITERACY COURSE for new college students at Ohio State University enrolled almost 500 students during the 1999-2000 academic year. The course, Internet Tools and Research Techniques, utilizes net.TUTOR interactive tutorials as an electronic text, along with Web-based tests and practice-oriented worksheets that are graded automatically by the course management soft...

One of the most important features of adaptive e-learning systems is the personalisation according to specific requirements of each individual student. In this paper, we introduce a promising approach for automatic detection and correction of student learning styles (LS) based on Markov Chains. Most of the work in this field presents complex and inefficient approaches. Our approach is based on ...

The in vitro antibody response of spleen cells from B10 strain mice is not suppressed by factor preparations made by primed Ly-2 T cells, although these preparations can suppress the in vitro antibody response of spleen cells from other mouse strains (1-3)2. The factor preparations from Ly-2 cells contain at least two separable activities: one that acts as a suppressor moiety (Ly-2 T cell suppr...

BACKGROUND The dried root of Paeonia lactiflora Pall. (PLP) is a classical Chinese herbal medicine that has been used to treat hepatic disease for 1000s of years. Our previous work suggested that PLP can be used to treat hepatitis with severe cholestasis. This study explored the mechanism by which PLP affects ANIT-induced cholestasis in rats using a metabolomics approach. METHODS The effects ...

The primary purpose of this study is to examine science student teachers' experience with educational technology, their intentions for their own use, their intentions for their students’ use, and their beliefs in the value of educational technology in science instruction. Four-hundred-forty-eight science student teachers of different disciplines and levels participated in the study. A questionn...

In past decades, student learning outcomes have been evaluated through graded assignments and tests by most paper-based assessment systems. Without a systematic and accurate categorization of test knowledge levels, these commonly used systems are limited to find out the details about student learning outcomes simply through assigned grades, thus cannot determine whether students are attaining o...