Optimal test-design methods are applied to rule-based item generation. Three different cases of automated test design are presented: (a) test assembly from a pool of pregenerated, calibrated items; (b) test generation on the fly from a pool of calibrated item families; and (c) test generation on the fly directly from calibrated features defining…

The benefits of solving problems have been widely acknowledged by literature. Its implementation in e-learning platforms can make easier its management and the learning process itself. However, its implementation can also become a very time-consuming task, particularly when the number of problems to generate is high. In this tutorial we describe a…

Co-Curate North East is a cross-disciplinary initiative involving Newcastle University and partner organisations, working with schools and community groups in the North East of England. Co-curation builds on the concept of the "ecomuseum" model for heritage based around a virtual territory, social memory and participative input from the…

Computer scoring of student written essays about an inquiry topic can be used to diagnose student progress both to alert teachers to struggling students and to generate automated guidance. We identify promising ways for teachers to add value to automated guidance to improve student learning. Three teachers from two schools and their 386 students…

Scientific argumentation is one of the core practices for teachers to implement in science classrooms. We developed a computer-based formative assessment to support students' construction and revision of scientific arguments. The assessment is built upon automated scoring of students' arguments and provides feedback to students and teachers.…

Who is the most preferred and deemed the most helpful reviewer in improving student writing? This study exercised a blended teaching method which consists of three currently prevailing reviewers: the automated grading system (AGS, a web-based method), the peer review (a process-oriented approach), and the teacher grading technique (the…

In this article, the author presents the history of human-to-computer interaction based upon the design of sophisticated computerized speech recognition algorithms. Advancements such as the arrival of cloud-based computing and software like Google's Web Speech API allows anyone with an Internet connection and Chrome browser to take advantage of…

This article introduces some of the digital projects currently in development at the National Library of Wales as part of its Research Program in Digital Collections. These projects include the digital representation of the Library's Kyffin Willams art collection, musical collections, and probate collection, and of materials collected by the…

Assessment and supporting data have become of increasing interest in librarianship. In this paper, we describe the development and implementation of the Northwestern University Library Acknowledgments Database tool, which gathers and documents qualitative data, as well as its component reporting function. This collaborative project and resulting…

The main objective of this study is to investigate the perceptions of academic librarians towards the marketing of library services through social networking sites (SNSs) and their understanding of using electronic word-of-mouth (eWOM) as a marketing tool in academic libraries. This study follows a qualitative data-gathering approach of structured…

This study evaluates the use of a hierarchical classification approach to automated assessment of essays. Automated essay scoring (AES) generally relies onmachine learning techniques that compute essay scores using a set of text variables. Unlike previous studies that rely on regression models, this study computes essay scores using a hierarchical…

Screening individuals for concealed knowledge has traditionally been the purview of professional interrogators investigating a crime. But the ability to detect when a person is hiding important information would be of high value to many other fields and functions. This dissertation proposes design principles for and reports on an implementation…

Despite the world slowly recovering from the 2008 recession and reducing levels of unemployment, the problem of underemployment persists. Underemployment is a problematic work status determined by an array of factors, including hours worked, comparative wages, and various subjective elements. This particular employment condition is affecting a…

The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers and other educators select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards (CCSS). This paper provides an overview of the TextEvaluator measurement approach and…

Automatic coding of short text responses opens new doors in assessment. We implemented and integrated baseline methods of natural language processing and statistical modelling by means of software components that are available under open licenses. The accuracy of automatic text coding is demonstrated by using data collected in the "Programme…