The problem addressed was that many college students face difficulty in retrieving relevant documents that satisfy their academic needs from web-based systems and digital libraries. The study purpose was to determine strategies that college students could employ to increase the relevance of materials retrieved via online search systems. The…

This paper explores possibilities for marrying data visualization to online archival finding aids, which have continually suffered from usability issues in their long history. This paper describes a project in which two different data visualization models were built to replace sections of an archival finding aid. Users were then shown the models,…

Online labs (OLs) constitute digital educational tools which can have a significant role in supporting science, technology, engineering and mathematics (STEM) teachers in their daily teaching practice. Designing STEM lessons supported by specific OLs is a challenging task and thus, it is useful for STEM teachers to be able to share their lesson…

The study is aimed at assessing the perceptions of male and female students on manual and online course registration systems in tertiary institutions in Nigeria. One research question was formulated to guide the study. A questionnaire containing 20 items on assessing the perceptions of students on manual and online course registration was drawn.…

Introduction: This paper presents a qualitative exploration of university students' experience of searching an online public access catalogue. The study investigated how students conceptualise their searching process, as well as how students understand themselves as seekers of information. Method: Following a search task, thirty-eight…

In this paper, we propose a syntax-based text retrieval system for on-line language learning and use a fast regular expression search engine as its main component. Regular expression searches provide more scalable querying and search results than keyword-based searches. However, without a well-designed index scheme, the execution time of regular…

Term relevance weighting systems in interactive information retrieval are reviewed. An experiment in which information retrieval users ranked query terms in decreasing order of presumed importance prior to actual search and retrieval is described. (Author/KP)

Reports on the experimental use of MEDLINE at Oakland University in January-April 1974. (PF)

A procedure for adjusting queries to retrieve more documents for a user by automatically selecting and broadening the descriptors from relevant documents is described. Although more computing is required, recall and precision are superior to traditional searching. (KP)

An evaluation of the Epilepsy Abstracts Retrieval System (EARS) was performed. Searches were conducted on the on-line system and evaluated in terms of recall, precision, and general user satisfaction. A detailed analysis of factors affecting the success and failure of the on-line searches was carried out. (4 references) (Author/SJ)

Reports the results of experiments using colon classification for the analysis, representation, and retrieval of primary information from the full text of documents. Recall, precision, and search length measures indicate colon classification did not perform significantly better than Boolean or simple word occurrence systems. Thirteen references…

Proposes an alternative methodology for handling queries with weighted search terms or search criteria in a fuzzy environment as a means of improving the performance of information retrieval systems. (EM)

Describes a computerized information retrieval system that uses three agglomerative hierarchic clustering algorithms--single link, complete link, and group average link--and explains their implementations. It is noted that these implementations have been used to cluster a collection of 12,000 documents. (LRW)

Describes a natural language searching strategy for retrieving current material which has bearing on George Orwell's "1984," and identifies four main themes (technology, authoritarianism, press and psychological/linguistic implications of surveillance, political oppression) which have emerged from cross-database searches of the "Big…

Describes an approach that combines concepts from information retrieval, fuzzy set theory, and genetic programing to improve weighted Boolean query formulation via relevance feedback. Highlights include background on information retrieval systems; genetic algorithms; subproblem formulation; and preliminary results based on a testbed. (Contains 12…