Search results

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

Introduces and annotates English-language periodical articles, monographs and other materials on library instruction and information literacy published in 2013.

Provides information about each source, discusses the characteristics of current scholarship and describes sources that contain unique scholarly contributions and quality reproductions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

Conducting academic searches within online digital libraries can be a difficult task due to the complexity of the searcher’s information need. The interfaces for such digital libraries commonly use simple search features that provide limited support for the fundamental strategies that academic searchers employ. The authors have developed a novel visualisation interface called Bow Tie Academic Search to address some of these shortcomings, and present in this paper the findings from a user evaluation. The paper aims to discuss these issues.

A controlled laboratory study was conducted to compare a traditional search interface to Bow Tie Academic Search. In total, 24 graduate students were recruited to perform academic searches using the two candidate interfaces, guided by specific sub-tasks that focus on citation and keyword analysis strategies.

Although the use of the core visualisation and exploration features did not reveal differences in retrieval effectiveness or efficiency, the query refinement features were found to be effective. Strongly positive impressions of usefulness and ease of use of all aspects of the system were reported, along with a preference for using Bow Tie Academic Search for academic search tasks.

This study provides insight into the potential value for providing visual and interactive interfaces for supporting academic search tasks and strategies. While the quantitative improvements over the traditional search interface were minimal, the qualitative measures illustrate the value of Bow Tie Academic Search.

Digital libraries and academic search engines have developed as two important online scholarly information sources with different features. The purpose of this study is to compare digital libraries and academic search engines from the perspective of the dual-route model.

Research hypotheses were developed. Potential participants were recruited to answer an online survey distributing at Chinese social media out of which 251 responses were deemed to be valid and used for data analysis. The paired samples t-test was used to compare the means.

Both information quality (central route) and source credibility (peripheral route) of digital libraries are significantly higher than those of academic search engines, while there is no significant difference between digital libraries and academic search engines in terms of affinity (peripheral route).

In the digital information society, the important status of digital libraries as conventional information sources should be spread by necessary measures. Academic search engines can act as complementary online information sources for seeking academic information rather than the substitute for digital libraries. Practitioners of digital libraries should value the complementary role of academic search engines and encourage users to use academic search engines while emphasizing the importance of digital libraries as conventional information sources.

According to the dual-route model, this study compares digital libraries and academic search engines in terms of information quality, source credibility and affinity, which the authors believe presents a new lens for digital libraries research and practice alike.

The purpose of this paper is to assess student web searching competency. The paper aims to determine varying levels of university student competency in web searches and to investigate and compare their competency levels of searching academic and daily‐life tasks.

The study adopted a quantitative research method of giving study participants a controllable experiment, a task‐based online test (TBOT), to evaluate web searching competency based on student searching performance. Participants included 141 undergraduate and graduate students from Wuhan University, China. Their searching competency level was assessed by testing their searching effectiveness and searching efficiency.

Student average web searching competency level was found to be comparatively low overall, within preliminary stages of development. A lot of students are unable to search the web with efficiency. Competency levels for searching academic tasks were higher than those of daily‐life tasks, especially when the degree of difficulty increased. These two levels, however, have a significant positive correlationship. In information literacy education it is therefore vital to teach students comprehensive web searching competency that includes knowledge and techniques for both academic and daily‐life search tasks.

Using the TBOT to assess student web searching competency is novel in the field of library and information science. By conducting this pilot experiment, librarians and teachers will be able to design and promote an improved information literacy education according to students' specific web searching competency status, instead of assumed goal levels.

The purpose of this paper is to explore users’ learning in the collaborative information search process when they conduct an academic task as a group.

This paper presents a longitudinal study for a three-month period on an actual task. The participants, who were undergraduate students, needed to write a research proposal in three months to apply for funding for a research project, including a three-hour experiment.

The results show that undergraduates’ learning in the collaborative search process for academic group work included knowledge reconstruction, tuning, and assimilation. Their understanding of the topic concepts improved through the process, and their attitudes became more optimistic. Besides, the learning in the collaborative information search process also enhanced participants’ skills in communication, research, information search, and collaboration. To improve learning outcomes, professional and appropriate academic resources are required, as well as effective division of labor, positive sharing behaviors, and use of collaborative systems.

The future development of collaborative information search systems should focus on the needs of academic research and support for elements such as instant communication and knowledge sharing.

This paper contributes to research into searching as learning by understanding undergraduates’ collaborative search behavior for writing a proposal.

The purpose of this paper is to describe the obsolescence process of Microsoft Academic Search (MAS) as well as the effects of this decline in the coverage of disciplines and journals, and their influence in the representativeness of organizations.

The total number of records and those belonging to the most reputable journals (1,762) and organizations (346) according to the Field Rating indicator in each of the 15 fields and 204 sub-fields of MAS, have been collected and statistically analysed in March 2014, by means of an automated querying process via http, covering academic publications from 1700 to present.

MAS has no longer been updated since 2013, although this phenomenon began to be glimpsed in 2011, when its coverage plummeted. Throughout 2014, indexing of new records is still ongoing, but at a minimum rate, without following any apparent pattern.

There are also retrospective records being indexed at present. In this sense, this research provides a picture of what MAS offered during March 2014 being queried directly via http.

The unnoticed obsolescence of MAS affects to the quality of the service offered to its users (both those who engage in scientific information seeking and also those who use it for quantitative purposes).

The predominance of Google Scholar (GS) as monopoly in the academic search engines market as well as the prevalence of an open construction model (GS) vs a closed model (MAS).

A complete longitudinal analysis of disciplines, journals and organizations on MAS has been performed for the first time identifying an unnoticed obsolescence. Any public explanation or disclaimer note has been announced from the responsible company, something incomprehensible given its implications for the reliability and validity of bibliometric data provided on disciplines, journals, authors and congress as well as their fair representation on the academic search engine.

Previous research has demonstrated that task is the driving force for information retrieval (IR). However, few studies investigate how people engaged in work and search tasks define their decisions and behaviors in the IR process. The purpose of this paper is to investigate how dimensions of tasks affect the information‐seeking and retrieving process.

In total, 40 participants are recruited for the two studies conducted in a corporate setting as well as an academic setting. Multiple methods are applied to collect data related to participants' tasks and the information‐seeking and retrieving process: web surveys, questionnaires, diaries, and telephone interviews. Both qualitative and quantitative data are analyzed.

This paper identifies nature (routine, typical, and unusual), stages (pre‐focus, formation, and post‐focus), and timeframe (extremely urgent, urgent, and non‐urgent) as dimensions of work tasks as well as origination (self‐generated and assigned), types (updating information, looking for specific information, looking for items with common characteristics, and looking for known items), and flexibility (very flexible, flexible, and inflexible) as dimensions of search tasks. Moreover, the relationships between dimensions of work and search tasks and the information‐seeking process – in particular, the extent of planning, the application of different types of information‐seeking strategies, and shifts in search‐task‐related goals – are explored.

This paper fills in a gap in current research – the impact of dimensions of task on the information‐seeking and ‐retrieving process.

The purpose of this article is to provide a critical review of Bergman's study on the deep web. In addition, this study brings a new concept into the discussion, the academic invisible web (AIW). The paper defines the academic invisible web as consisting of all databases and collections relevant to academia but not searchable by the general‐purpose internet search engines. Indexing this part of the invisible web is central to scientific search engines. This paper provides an overview of approaches followed thus far.

Provides a discussion of measures and calculations, estimation based on informetric laws. Also gives a literature review on approaches for uncovering information from the invisible web.

Bergman's size estimate of the invisible web is highly questionable. This paper demonstrates some major errors in the conceptual design of the Bergman paper. A new (raw) size estimate is given.

The precision of this estimate is limited due to a small sample size and lack of reliable data.

This study can show that no single library alone will be able to index the academic invisible web. The study suggests a collaboration to accomplish this task.

Provides library managers and those interested in developing academic search engines with data on the size and attributes of the academic invisible web.

How to provide the most useful papers for searchers is a key issue for academic search engines. A lot of research has been carried out to address this problem. However, when evaluating the effectiveness of an academic search engine, most of the previous investigations assume that the only concern of the user is the relevancy of the paper to the query. The authors believe that the usefulness of a paper is determined not only by its relevance to the query but also by other aspects including its publication age and impact in the research community. This is vital, especially when a large number of papers are relevant to the query.

This paper proposes a group of metrics to measure the usefulness of a ranked list of papers. When defining these metrics, three factors, including relevance, publication age and impact, are considered at the same time. To accommodate this, the authors propose a framework to rank papers by a combination of their relevance, publication age and impact scores.

The framework is evaluated with the ACL (Association for Computational Linguistics Anthology Network) dataset. It demonstrates that the proposed ranking algorithm is effective for improving usefulness when two or three aspects of academic papers are considered at the same time, while the relevance of the retrieved papers is slightly down compared with the relevance-only retrieval.

To the best of the authors’ knowledge, the proposed multi-objective academic search framework is the first of its kind that is proposed and evaluated with a group of new evaluation metrics.

This paper aims to identify the opinions of undergraduate students on the importance of internet‐based information sources when they undertake academic tasks.

Based on a set of identified typical academic tasks for undergraduate students, three research questions were designed around the students' usage and views of information resources for completing these tasks. Web‐accessible questionnaires were used to collect data from participants in two universities in the USA and China, and the data were analyzed using quantitative methods, which included several statistic methods.

The results confirm that undergraduate students use different information resources for various academic tasks. In their tasks, online electronic resources including search engines are the most commonly used resources, particularly for complex academic tasks. Social networking sites are not used for the students' individual academic tasks, and traditional resources still play equal or more important roles in certain specific academic tasks. Students in collaborative tasks look for resources that make it easy to share documents. Participants from the two countries also exhibit interesting and important differences in their usage of information resources.

This study examines undergraduate students' usages and views of different information resources in their various academic tasks, and pays special attention to the impacts of being from their different countries. The study also considers both students' individual academic tasks and collaborative tasks. This study is an invaluable addition to the information seeking behaviour literature.