Using Multiple Choice Questions to Assist Learning for Information Retrieval

A key issue in teaching and learning in information retrieval – particularly for library and information science students – is the gap in prior knowledge compared with the need for mathematics to conduct and evaluate searches. In this chapter, we examine the use of online Multiple Choice Questions to support these type of students, and narrow this gap between experience and knowledge. We provide some background in terms of related work and the use of MCQ’s for assessment. The key areas of search which can be supported by this form of assessment are defined, and these are used to outline a proposed strategy for defining a series of questions to support learning

Applying science of learning in education: Infusing psychological science into the curriculum

The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

An explorative study of interface support for image searching

In this paper we study interfaces for image retrieval systems. Current image retrieval interfaces are limited to providing query facilities and result presentation. The user can inspect the results and possibly provide feedback on their relevance for the current query. Our approach, in contrast, encourages the user to group and organise their search results and thus provide more fine-grained feedback for the system. It combines the search and management process, which - according to our hypothesis - helps the user to onceptualise their search tasks and to overcome the query formulation problem. An evaluation, involving young design-professionals and di®erent types of information seeking scenarios, shows that the proposed approach succeeds in encouraging the user to conceptualise their tasks and that it leads to increased user satisfaction. However, it could not be shown to increase performance. We identify the problems in the current setup, which when eliminated should lead to more effective searching overall

Measuring Semantic Similarity by Latent Relational Analysis

This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a high degree of relational similarity, they are analogous. For example, the pair cat:meow is analogous to the pair dog:bark. There is evidence from cognitive science that relational similarity is fundamental to many cognitive and linguistic tasks (e.g., analogical reasoning). In the Vector Space Model (VSM) approach to measuring relational similarity, the similarity between two pairs is calculated by the cosine of the angle between the vectors that represent the two pairs. The elements in the vectors are based on the frequencies of manually constructed patterns in a large corpus. LRA extends the VSM approach in three ways: (1) patterns are derived automatically from the corpus, (2) Singular Value Decomposition is used to smooth the frequency data, and (3) synonyms are used to reformulate word pairs. This paper describes the LRA algorithm and experimentally compares LRA to VSM on two tasks, answering college-level multiple-choice word analogy questions and classifying semantic relations in noun-modifier expressions. LRA achieves state-of-the-art results, reaching human-level performance on the analogy questions and significantly exceeding VSM performance on both tasks

Learning Fashion Compatibility with Bidirectional LSTMs

The ubiquity of online fashion shopping demands effective recommendation services for customers. In this paper, we study two types of fashion recommendation: (i) suggesting an item that matches existing components in a set to form a stylish outfit (a collection of fashion items), and (ii) generating an outfit with multimodal (images/text) specifications from a user. To this end, we propose to jointly learn a visual-semantic embedding and the compatibility relationships among fashion items in an end-to-end fashion. More specifically, we consider a fashion outfit to be a sequence (usually from top to bottom and then accessories) and each item in the outfit as a time step. Given the fashion items in an outfit, we train a bidirectional LSTM (Bi-LSTM) model to sequentially predict the next item conditioned on previous ones to learn their compatibility relationships. Further, we learn a visual-semantic space by regressing image features to their semantic representations aiming to inject attribute and category information as a regularization for training the LSTM. The trained network can not only perform the aforementioned recommendations effectively but also predict the compatibility of a given outfit. We conduct extensive experiments on our newly collected Polyvore dataset, and the results provide strong qualitative and quantitative evidence that our framework outperforms alternative methods.Comment: ACM MM 1

Can a workspace help to overcome the query formulation problem in image retrieval?

We have proposed a novel image retrieval system that incorporates a workspace where users can organise their search results. A task-oriented and user-centred experiment has been devised involving design professionals and several types of realistic search tasks. We study the workspace’s effect on two aspects: task conceptualisation and query formulation. A traditional relevance feedback system serves as baseline. The results of this study show that the workspace is more useful with respect to both of the above aspects. The proposed approach leads to a more effective and enjoyable search experience

General guidelines for designing bilingual low cost digital library services suitable for special library users in developing countries and the Arabic speaking world

The World is witnessing a considerable transformation from print based-formats to elec-tronic-based formats thanks to advanced computing technology, which has a profound impact on the dissemination of nearly all previous formats of publications into digital formats on computer networks. Text, still and moving images, sound tracks, music, and almost all known formats can be stored and retrieved on computer magnetic disk. Over the last two decades, a number of special libraries and information centres in the Arab world have introduced electronic resources into their library services. Very few have implemented automated and integrated systems. Despite the im-portance of designing digital libraries not merely for accessing to or retrieval of information but rather for the provision of electronic services, hardly any special library has started the design of digital library services. Managers of special libraries and information centres in developing countries in general and in the Arab world in particular should start building their local digital libraries, as the benefit of establishing such electronic services is considerably massive and well known for expansion of re-search activities and for delivering services that satisfy the needs of targeted end-users. The aim of this paper is to provide general guideline for design of special low cost digital library providing ser-vices that are most frequently required by various categories of special library users in developing countries. This paper also aims at illustrating strategies and method approaches that can be adopted for building such projects. Seeing the importance of designing an inexpensive digital li-brary as basic principle for the design accordingly, the utilisation of today's ICTs and freely avail-able open sources software is the right path for accomplishing such goal. The paper intends to de-scribe the phases and stages required for building such projects from scratch. It also aims at high-lighting the barriers and obstacles facing Arabic content and how could such problems overcome

Using digital pens to expedite the marking procedure

This is the Post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2010 Inderscience PublishersDigital pens have been introduced over the last six years and have demonstrated that they can be used effectively for collecting, processing and storing data. These properties make them ideal for use in education, particularly in the marking procedure of multiple-choice questions (MCQ). In this report, we present a system that was designed to expedite the marking procedure of MCQ, for use at any educational level. The main element of the system is a digital pen, i.e. given to the students prior to the examination. On return of the pen, the system immediately recognises the students' answers and produces their results. In this specific research, four groups of students were studied and a variety of data were collected, concerning issues, such as accuracy, time gained by the use of the system and the impressions of the students. The pedagogic value of the use of the system is also presented