Search (34 results, page 1 of 2)

0.08573001 = product of:
  0.25719002 = sum of:
    0.25719002 = weight(_text_:usage in 769) [ClassicSimilarity], result of:
      0.25719002 = score(doc=769,freq=10.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.9547889 = fieldWeight in 769, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0546875 = fieldNorm(doc=769)
  0.33333334 = coord(1/3)

Abstract

Increased enrollments, changing student expectations, and shifting patterns of Internet access and usage continue to generate resource and administrative challenges for colleges and universities. Computer center staff and college administrators must balance increased access demands, changing system loads, and system security within constrained resources. To assess the changing academic computing environment, computer center directors from several geographic regions were asked to respond to an online questionnaire that assessed patterns of usage, resource allocation, policy formulation, and threats. Survey results were compared with data from a study conducted by the authors in 1999. The analysis includes changing patterns in Internet usage, access, and supervision. The paper also presents details of usage by institutional type and application as well as recommendations for more precise resource assessment by college administrators.

0.07667926 = product of:
  0.23003776 = sum of:
    0.23003776 = weight(_text_:usage in 104) [ClassicSimilarity], result of:
      0.23003776 = score(doc=104,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.8539892 = fieldWeight in 104, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.109375 = fieldNorm(doc=104)
  0.33333334 = coord(1/3)

0.06640619 = product of:
  0.19921856 = sum of:
    0.19921856 = weight(_text_:usage in 1315) [ClassicSimilarity], result of:
      0.19921856 = score(doc=1315,freq=6.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.7395764 = fieldWeight in 1315, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1315)
  0.33333334 = coord(1/3)

Abstract

This study develops three alternative models of academic library Web site usage based on the Technology Acceptance Model (TAM). The three alternative models depict relationships among various intrinsic and extrinsic determinant factors of an academic library's Web site usage. The four factors included in the models are perceived ease-of-use, perceived usefulness, service functionality, and task functionality. These four factors are hypothesized to affect directly or indirectly both factors of satisfaction and intention-to-use. LISREL analysis using survey data shows that the best-fit model is the Dual Mediation Impact Model. Research and managerial implications for the academic library are discussed. Future research directions and limitations also are provided.

0.05796407 = product of:
  0.17389221 = sum of:
    0.17389221 = weight(_text_:usage in 577) [ClassicSimilarity], result of:
      0.17389221 = score(doc=577,freq=14.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.6455552 = fieldWeight in 577, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.03125 = fieldNorm(doc=577)
  0.33333334 = coord(1/3)

Abstract

Users move from one state (or task) to another in an information system's labyrinth as they try to accomplish their work, and the amount of time they spend in each state varies. This article uses continuous-time stochastic models, mainly based on semi-Markov chains, to derive user state transition patterns (both in rates and in probabilities) in a Web-based information system. The methodology was demonstrated with 126,925 search sessions drawn from the transaction logs of the University of California's MELVYL® library catalog system (www.melvyLucop.edu). First, user sessions were categorized into six groups based on their similar use of the system. Second, by using a three-layer hierarchical taxonomy of the system Web pages, user sessions in each usage group were transformed into a sequence of states. All the usage groups but one have third-order sequential dependency in state transitions. The sole exception has fourth-order sequential dependency. The transition rates as well as transition probabilities of the semi-Markov model provide a background for interpreting user behavior probabilistically, at various levels of detail. Finally, the differences in derived usage patterns between usage groups were tested statistically. The test results showed that different groups have distinct patterns of system use. Knowledge of the extent of sequential dependency is beneficial because it allows one to predict a user's next move in a search space based on the past moves that have been made. It can also be used to help customize the design of the user interface to the system to facilitate interaction. The group CL6 labeled "knowledgeable and sophisticated usage" and the group CL7 labeled "unsophisticated usage" both had third-order sequential dependency and had the same most-frequently occurring search pattern: screen display, record display, screen display, and record display. The group CL8 called "highly interactive use with good search results" had fourth-order sequential dependency, and its most frequently occurring pattern was the same as CL6 and CL7 with one more screen display action added. The group CL13, called "known-item searching" had third-order sequential dependency, and its most frequently occurring pattern was index access, search with retrievals, screen display, and record display. Group CL14 called "help intensive searching," and CL18 called "relatively unsuccessful" both had thirdorder sequential dependency, and for both groups the most frequently occurring pattern was index access, search without retrievals, index access, and again, search without retrievals.

0.047432996 = product of:
  0.14229898 = sum of:
    0.14229898 = weight(_text_:usage in 5584) [ClassicSimilarity], result of:
      0.14229898 = score(doc=5584,freq=6.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.5282689 = fieldWeight in 5584, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5584)
  0.33333334 = coord(1/3)

Abstract

This article reports on a model and patterns of use of a library catalog that can be accessed through the Internet. Three categories of users are identified. individuals who perform a search of the catalog, tourists who look only at opening pages of the library catalog's site, and Web spiders that come to the site to obtain pages for indexing the Web. A number of types of use activities are also identified, and can be grouped with the presearch phase (which takes place before any searching begins): the search phase, the display phase (in which users display the results of their search), and phases in which users make errors, ask the system for help or assistance, and take other actions. An empirical investigation of patterns of use of a university Web-based library catalog was conducted for 479 days. During that period, the characteristics of about 2.5 million sessions were recorded and analyzed, and usage trends were identified. Of the total, 62% of the sessions were for users who performed a search, 27% were from spiders, and 11% were for tourists. During the study period, the average search session lasted about 5 minutes when the study began and had increased to about 10 minutes 16 months later. An average search consisted of about 1.5 presearch actions lasting about 25 seconds, about 5.3 display actions, and 2.5 searches per session. The latter two categories are in the range of 35-37 seconds per session each. There were major differences in usage (number of searches, search time, number of display actions, and display time), depending upon the database accessed

0.047432996 = product of:
  0.14229898 = sum of:
    0.14229898 = weight(_text_:usage in 6526) [ClassicSimilarity], result of:
      0.14229898 = score(doc=6526,freq=6.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.5282689 = fieldWeight in 6526, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6526)
  0.33333334 = coord(1/3)

Abstract

Different users of a Web-based information system will have different goals and different ways of performing their work. This article explores the possibility that we can automatically detect usage patterns without demographic information about the individuals. First, a set of 47 variables was defined that can be used to characterize a user session. The values of these variables were computed for approximately 257,000 sessions. Second, principal component analysis was employed to reduce the dimensions of the original data set. Third, a twostage, hybrid clustering method was proposed to categorize sessions into groups. Finally, an external criteriabased test of cluster validity was performed to verify the validity of the resulting usage groups (clusters). The proposed methodology was demonstrated and tested for validity using two independent samples of user sessions drawn from the transaction logs of the University of California's MELVYL® on-line library catalog system (www.melvyl.ucop.edu). The results indicate that there were six distinct categories of use in the MELVYL system: knowledgeable and sophisticated use, unsophisticated use, highly interactive use with good search performance, known-item searching, help-intensive searching, and relatively unsuccessful use. Their characteristics were interpreted and compared qualitatively. The analysis shows that each group had distinct patterns of use of the system, which justifies the methodology employed in this study

0.047432996 = product of:
  0.14229898 = sum of:
    0.14229898 = weight(_text_:usage in 198) [ClassicSimilarity], result of:
      0.14229898 = score(doc=198,freq=6.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.5282689 = fieldWeight in 198, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=198)
  0.33333334 = coord(1/3)

Abstract

Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage

0.047432996 = product of:
  0.14229898 = sum of:
    0.14229898 = weight(_text_:usage in 335) [ClassicSimilarity], result of:
      0.14229898 = score(doc=335,freq=6.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.5282689 = fieldWeight in 335, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=335)
  0.33333334 = coord(1/3)

Abstract

Previous studies have examined various aspects of user behavior on the Web, including general information-seeking patterns, search engine use, and revisitation habits. Little research has been conducted to study how users navigate and interact with their Web browser across different information-seeking tasks. We have conducted a field study of 21 participants, in which we logged detailed Web usage and asked participants to provide task categorizations of their Web usage based on the following categories: Fact Finding, Information Gathering, Browsing, and Transactions. We used implicit measures logged during each task session to provide usage measures such as dwell time, number of pages viewed, and the use of specific browser navigation mechanisms. We also report on differences in how participants interacted with their Web browser across the range of information-seeking tasks. Within each type of task, we found several distinguishing characteristics. In particular, Information Gathering tasks were the most complex; participants spent more time completing this task, viewed more pages, and used the Web browser functions most heavily during this task. The results of this analysis have been used to provide implications for future support of information seeking on the Web as well as direction for future research in this area.

0.047432996 = product of:
  0.14229898 = sum of:
    0.14229898 = weight(_text_:usage in 990) [ClassicSimilarity], result of:
      0.14229898 = score(doc=990,freq=6.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.5282689 = fieldWeight in 990, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=990)
  0.33333334 = coord(1/3)

Abstract

The article employs deep log analysis (DLA) techniques, a more sophisticated form of transaction log analysis, to demonstrate what usage data can disclose about information seeking behaviour of virtual scholars - academics, and researchers. DLA works with the raw server log data, not the processed, pre-defined and selective data provided by journal publishers. It can generate types of analysis that are not generally available via proprietary web logging software because the software filters out relevant data and makes unhelpful assumptions about the meaning of the data. DLA also enables usage data to be associated with search/navigational and/or user demographic data, hence the name 'deep'. In this connection the usage of two digital journal libraries, those of EmeraldInsight, and Blackwell Synergy are investigated. The information seeking behaviour of nearly three million users is analyzed in respect to the extent to which they penetrate the site, the number of visits made, as well as the type of items and content they view. The users are broken down by occupation, place of work, type of subscriber ("Big Deal", non-subscriber, etc.), geographical location, type of university (old and new), referrer link used, and number of items viewed in a session.

0.04647465 = product of:
  0.13942395 = sum of:
    0.13942395 = weight(_text_:usage in 2261) [ClassicSimilarity], result of:
      0.13942395 = score(doc=2261,freq=4.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.51759565 = fieldWeight in 2261, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.046875 = fieldNorm(doc=2261)
  0.33333334 = coord(1/3)

Abstract

The emergence of information portal systems in the past few years has led to a greatly enhanced Web-based environment for users seeking information online. While considerable research has been conducted an user information-seeking behavior in regular IR environments over the past decade, this paper focuses specifically an how users in a medical science and clinical setting carry out their daily information seeking through a customizable information portal system (MyWelch). We describe our initial study an analyzing Web usage data from MyWelch to see whether the results conform to the features and patterns established in current information-seeking models, present several observations regarding user information-seeking behavior in a portal environment, outline possible long-term user information-seeking patterns based an usage data, and discuss the direction of future research an user information-seeking behavior in the MyWelch portal environment.

0.032862537 = product of:
  0.09858761 = sum of:
    0.09858761 = weight(_text_:usage in 1823) [ClassicSimilarity], result of:
      0.09858761 = score(doc=1823,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.36599535 = fieldWeight in 1823, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.046875 = fieldNorm(doc=1823)
  0.33333334 = coord(1/3)

0.032862537 = product of:
  0.09858761 = sum of:
    0.09858761 = weight(_text_:usage in 3454) [ClassicSimilarity], result of:
      0.09858761 = score(doc=3454,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.36599535 = fieldWeight in 3454, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.046875 = fieldNorm(doc=3454)
  0.33333334 = coord(1/3)

Abstract

Major Web search engines, such as AItaVista, are essential tools in the quest to locate online information. This article reports research that used transaction log analysis to examine the characteristics and changes in AItaVista Web searching that occurred from 1998 to 2002. The research questions we examined are (1) What are the changes in AItaVista Web searching from 1998 to 2002? (2) What are the current characteristics of AItaVista searching, including the duration and frequency of search sessions? (3) What changes in the information needs of AItaVista users occurred between 1998 and 2002? The results of our research show (1) a move toward more interactivity with increases in session and query length, (2) with 70% of session durations at 5 minutes or less, the frequency of interaction is increasing, but it is happening very quickly, and (3) a broadening range of Web searchers' information needs, with the most frequent terms accounting for less than 1% of total term usage. We discuss the implications of these findings for the development of Web search engines.

0.032862537 = product of:
  0.09858761 = sum of:
    0.09858761 = weight(_text_:usage in 4440) [ClassicSimilarity], result of:
      0.09858761 = score(doc=4440,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.36599535 = fieldWeight in 4440, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.046875 = fieldNorm(doc=4440)
  0.33333334 = coord(1/3)

Abstract

Collating data from a number of log and questionnaire studies conducted largely into the use of a range of consumer health digital information platforms, Centre for Information Behaviour and the Evaluation of Research (Ciber) researchers describe some new thoughts on characterising (and naming) information seeking behaviour in the digital environment, and in so doing, suggest a new typology of digital users. The characteristic behaviour found is one of bouncing in which users seldom penetrate a site to any depth, tend to visit a number of sites for any given information need and seldom return to sites they once visited. They tend to "feed" for information horizontally, and whether they search a site of not depends heavily on "digital visibility", which in turn creates all the conditions for "bouncing". The question whether this type of information seeking represents a form of "dumbing down or up", and what it all means for publishers, librarians and information providers, who might be working on other, possible outdated usage paradigms, is discussed.

0.032862537 = product of:
  0.09858761 = sum of:
    0.09858761 = weight(_text_:usage in 205) [ClassicSimilarity], result of:
      0.09858761 = score(doc=205,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.36599535 = fieldWeight in 205, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.046875 = fieldNorm(doc=205)
  0.33333334 = coord(1/3)

Abstract

With the rapid diffusion of the Internet, researchers, policy makers, and users have raised concerns about online privacy, although few studies have integrated aspects of usage with psychological and attitudinal aspects of privacy. This study develops a model involving gender, generalized self-efficacy, psychological need for privacy, Internet use experience, Internet use fluency, and beliefs in privacy rights as potential influences on online privacy concerns. Survey responses from 413 college students were analyzed by bivariate correlations, hierarchical regression, and structural equation modeling. Regression results showed that beliefs in privacy rights and a psychological need for privacy were the main influences on online privacy concerns. The proposed structural model was not well supported by the data, but a revised model, linking self-efficacy with psychological need for privacy and indicating indirect influences of Internet experience and fluency on online privacy concerns about privacy through beliefs in privacy rights, was supported by the data.

0.032862537 = product of:
  0.09858761 = sum of:
    0.09858761 = weight(_text_:usage in 988) [ClassicSimilarity], result of:
      0.09858761 = score(doc=988,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.36599535 = fieldWeight in 988, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.046875 = fieldNorm(doc=988)
  0.33333334 = coord(1/3)

Abstract

A transaction log analysis of the Nanyang Technological University (NTU) OPAC was conducted to identify query and search failure patterns with the goal of identifying areas of improvement for the system. One semester's worth of OPAC transaction logs were obtained and from these, 641,991 queries were extracted and used for this work. Issues investigated included query length, frequency and type of search options and Boolean operators used as well as their relationships with search failure. Among other findings, results indicate that a majority of the queries were simple, with short query lengths and a low usage of Boolean operators. Failure analysis revealed that on average, users had an almost equal chance of obtaining no records or at least one record to a submitted query. We propose enhancements and suggest future areas of work to improve the users' search experience with the NTU OPAC.

0.028315838 = product of:
  0.08494751 = sum of:
    0.08494751 = product of:
      0.16989502 = sum of:
        0.16989502 = weight(_text_:mining in 6561) [ClassicSimilarity], result of:
          0.16989502 = score(doc=6561,freq=4.0), product of:
            0.2752929 = queryWeight, product of:
              5.642448 = idf(docFreq=425, maxDocs=44218)
              0.04878962 = queryNorm
            0.61714274 = fieldWeight in 6561, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.642448 = idf(docFreq=425, maxDocs=44218)
              0.0546875 = fieldNorm(doc=6561)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

This project analyzed 541,920 user queries submitted to and executed in an academic Website during a four-year period (May 1997 to May 2001) using a relational database. The purpose of the study is three-fold: (1) to understand Web users' query behavior; (2) to identify problems encountered by these Web users; (3) to develop appropriate techniques for optimization of query analysis and mining. The linguistic analyses focus an query structures, lexicon, and word associations using statistical measures such as Zipf distribution and mutual information. A data model with finest granularity is used for data storage and iterative analyses. Patterns and trends of querying behavior are identified and compared with previous studies.

0.027385449 = product of:
  0.082156345 = sum of:
    0.082156345 = weight(_text_:usage in 5909) [ClassicSimilarity], result of:
      0.082156345 = score(doc=5909,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.30499613 = fieldWeight in 5909, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5909)
  0.33333334 = coord(1/3)

Abstract

This article focuses on the relevance judgments made by health information users who use the Web. Health information users were conceptualized as motivated information users concerned about how an environmental issue affects their health. Users identified their own environmental health interests and conducted a Web search of a particular environmental health Web site. Users were asked to identify (by highlighting with a mouse) the criteria they use to assess relevance in both Web search engine surrogates and full-text Web documents. Content analysis of document criteria highlighted by users identified the criteria these users relied on most often. Key criteria identified included (in order of frequency of appearance) research, topic, scope, data, influence, affiliation, Web characteristics, and authority/ person. A power-law distribution of criteria was observed (a few criteria represented most of the highlighted regions, with a long tail of occasionally used criteria). Implications of this work are that information retrieval (IR) systems should be tailored in terms of users' tendencies to rely on certain document criteria, and that relevance research should combine methods to gather richer, contextualized data. Metadata for IR systems, such as that used in search engine surrogates, could be improved by taking into account actual usage of relevance criteria. Such metadata should be user-centered (based on data from users, as in this study) and contextappropriate (fit to users' situations and tasks).

0.027385449 = product of:
  0.082156345 = sum of:
    0.082156345 = weight(_text_:usage in 449) [ClassicSimilarity], result of:
      0.082156345 = score(doc=449,freq=2.0), product of:
        0.26936847 = queryWeight, product of:
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.04878962 = queryNorm
        0.30499613 = fieldWeight in 449, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.52102 = idf(docFreq=480, maxDocs=44218)
          0.0390625 = fieldNorm(doc=449)
  0.33333334 = coord(1/3)

Abstract

This two-part article establishes a model of the mediating factors that influence student information behavior concerning electronic or digital information sources that support their learning. The first part reviews the literature that underpinned the development of the research methodology for the Joint Information Systems Committee (JISC) User Behavior Monitoring and Evaluation Framework, as well as the literature that has subsequently helped to develop the model over the 5 years the Framework operated in the United Kingdom, in five cycles of research that were adjusted to meet the emerging needs of the JISC at the time. The literature review attempts to synthesize the two main perspectives in the research studies: (a) smallscale studies of student information behavior; and (b) the studies that focus on the quantitative usage of particular electronic information services in universities, often including implications for training and support. As the review indicates, there are gaps in the evidence concerning the browsing and selection strategies of undergraduate students and the interaction of some of the mediating influences on information behavior. The Framework developed a multimethod, qualitative and quantitative methodology for the continued monitoring of user behavior. This article discusses the methods used and the projectmanagement challenges involved, and concludes that at the outset, intended impacts need to be specified carefully, and that funding needs to be committed at that point for a longitudinal study. A research project on information behavior, intended to inform current policymaking on infrastructure provision, is inherently difficult as behavior changes lag behind provision.

0.01542408 = product of:
  0.04627224 = sum of:
    0.04627224 = product of:
      0.09254448 = sum of:
        0.09254448 = weight(_text_:22 in 7585) [ClassicSimilarity], result of:
          0.09254448 = score(doc=7585,freq=2.0), product of:
            0.17085294 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04878962 = queryNorm
            0.5416616 = fieldWeight in 7585, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=7585)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date

22. 1.2000 17:52:11

0.01542408 = product of:
  0.04627224 = sum of:
    0.04627224 = product of:
      0.09254448 = sum of:
        0.09254448 = weight(_text_:22 in 3924) [ClassicSimilarity], result of:
          0.09254448 = score(doc=3924,freq=2.0), product of:
            0.17085294 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04878962 = queryNorm
            0.5416616 = fieldWeight in 3924, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=3924)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Source

Library and information science research. 22(2000) no.4, S.371-382