Academic libraries are increasingly collecting e-books, but little research has investigated how students use e-books compared to print texts. This study used a prompted think-aloud method to gain an understanding of the information retrieval behavior of students in both formats. Qualitative analysis identified themes that will inform instruction and collection practices.
Objective -This project identifies the factors that contribute to the success of librarians as active researchers. Research success is generally aligned with productivity and output, and the authors are therefore interested in understanding the factors that encourage research productivity. This fills a gap in the literature on librarians as researchers, which has tended to focus on barriers rather than enablers.Methods -For this quantitative study, we distributed an online survey to 1,653 potential participants across Canada and received 453 usable responses for a 27% response rate. The Evidence Based Library and Information Practice 2017, 12.4 103 survey asked participants to report their research outputs and to answer questions that addressed three categories of factors: Individual Attributes, Peers and Community, and Institutional Structures and Supports. We then statistically analyzed participant responses in order to identify relationships between the research output variables (weighted output score and number of peer-reviewed articles) and the three categories, the factors within those categories, and the constituent components.Results -Participants' research output consisted largely of presentations, non-peer-reviewed articles, peer-reviewed articles, and posters. All three categories of factors were significantly related to research output, both for a calculated weighted output score and for number of peerreviewed articles. All of the factors identified within those categories were also significant when tested against weighted output score, but Intrinsic Motivations was not a significant factor when tested against number of peer-reviewed articles. Several components of factors were also not significant for number of peer-reviewed articles. Age was the only significant component of Demographics. Three components of Education and Experience were significant: whether participants had received research training after completing their MLIS, whether they were working on an advanced degree, and the institution where they had obtained their MLIS.Conclusions -Research productivity is significantly impacted by all three categories: Individual Attributes, Peers and Community, and Institutional Structures and Supports. Fostering an environment that focuses on all of these areas will be most likely to promote research output for librarians. At the same time, this study's findings point to particular aspects that warrant further investigation, such as the nature and effect of institutional support and librarians' motivations for doing research.
While there is a considerable body of literature that presents the results of citation analysis studies, most researchers do not provide enough detail in their methodology to reproduce the study, nor do they provide rationale for methodological decisions. In this paper, we review the methodologies used in 34 recent articles that present a "user study" citation analysis with a goal of informing collection management. We describe major themes and outliers in the methodologies and discuss factors that require careful thought and analysis. We also provide a guide to considerations for citation analysis studies, so that researchers can make informed decisions.
In this study, we examined how self-regulated learning (SRL) and gender influences performance in an educational game for 8th-grade students (N ϭ 130). Crystal Island-Outbreak is an immersive, inquirybased, narrative-centered learning environment featuring a microbiology science mystery aligned with 8th-grade science curriculum. SRL variables predicted successful in-game performance even after accounting for prior knowledge and perceived gaming skill. Content learning gains were found across both genders, and girls performed at similar levels as boys in the game despite incoming disadvantages for perceived skill and prior gaming experience. Boys were more effective than girls in using a cognitive tool that was critical for solving the Crystal Island-Outbreak mystery; however, these differences disappeared when prior gaming experience was taken into account. Overconfidence on monitoring judgments for boys but not girls was predictive of in-game performance. Findings related to motivational variables such as self-efficacy, situational interest, and goal orientation were mixed with regard to their consistency across genders.
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