Purpose -The purpose of this paper is to establish the effects of computer-assisted instruction (CAI) on the attitude of students studying mathematics. Design/methodology/approach -CAI in mathematics, as an alternative to traditional instruction (TI), is investigated using a sample of students in Iran. The sample consists of second grade female students of maths/science in two high schools of Hashtgerd. The study is carried out over four weeks in May 2008. The effects of the independent variable (CAI) are studied in one high school while in a second high school in the region, a control group is used to measure the effects of TI. Findings -The findings reveal that CAI increases the learning level of students and improves their attitudes toward mathematics compared with TI.Research limitations/implications -The scope of the study is limited to a sample of students from two high schools in Iran. Thus, the results are indicative rather than conclusive. More work needs to be carried out involving a larger sample not confined to the Iranian setting to produce more conclusive findings. Practical implications -New technologies and software featuring CAI should be implemented and used in the teaching process, especially for those courses which contain abstract concepts like mathematics. For example, simulated software could help teachers utilize simulated objects, concepts, and problem solving paths in a virtual environment. Originality/value -The study adds to the literature on the utility of CAI and is original in that it is one of the few carried out in an Iranian setting.
PurposeBy studying a large number of citations in the LIS field, this paper seeks to examine carefully the persistence status of web resources specified by their domains and type of files.Design/methodology/approachAll 2005‐2008 volumes of six LIS journals ranked by ISI Thomson Reuters were selected. From 1,181 papers, 37,791 citations were recorded. Only original articles, which had a list of references, were included in the study. The persistence of web citations was checked by directly following the cited URLs.FindingsOf the 37,791 citations, 4,840 (12.8 percent) were web citations. The means per articles of web and print citations were 4.09, and 27.9, respectively. Of all web citations, 4,617 (95 percent) were readily persistent, and 5 percent returned errors and thus were not originally accessible. The relationship between the print and web citation over time (year) was significant. The most prevalent domain of citations was html and the most favorable and persistent file format was pdf.Practical implicationsThe web resources are used for their easy accessibility and the support they provide for a scientific content. While direct accessibility to a web citation is not provided, many strategies are adopted to recover the dead citation. The issue is to what extent the authors rely on web resources and are they finished with citing paper‐based materials? Are web resources becoming replaced with their print counterparts? The study showed that scholars still rely more on print resources than on the web materials.Originality/valueTracking current trends in scholars' communication behavior shows a shift from print to web resources. The paper examines web citations persistence in some prestigious journals to show whether the web citations are reliable enough and always accessible in the digital world.
PurposeSynergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.Design/methodology/approachThe synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.FindingsThe findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.Originality/valueIn a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.
PurposeThe purpose of this paper is to analyze citation behaviors of students in the LIS field among a variety of local universities in Tehran.Design/methodology/approachA total of 259 MA dissertations in Library and Information Science submitted to five universities in Tehran during 2003‐2008 are examined. These universities were selected based on their location and the authors' accessibility to their university libraries. Overall, five out of nine universities in Iran which have Masters Courses in Library and Information Science were selected for this study. The data were gathered using a checklist by the author, who personally attended in university libraries and counted all dissertation references.FindingsThe study shows that students' citation behaviors are in favor of books, and Farsi e‐sources are lesser used by LIS students than English e‐sources. The total number of book citations is far more than total number of other formats. While this study could be useful in library acquisition decisions, it could also inform in areas related to issues students face in finding suitable pieces of information.Practical implicationsThis study would be useful for educational and acquisition purposes in university libraries, since it examines citation behavior of students through a specific discipline.Originality/valueThe study deals with MA Library and Information Science dissertations among all universities of Tehran that teach LIS masters courses.
Background: Level of evidence (LoE) is a hierarchical system for classifying the quality of studies. Objectives: This study examined the factors affecting the number of citations to clinical articles related to the treatment of human diseases that have included the LoE in their abstracts. Methods: A total of 3,683 therapeutic articles published between 2011 and 2013 that mentioned the LoE in their abstract and were indexed in PubMed and Web of Science were retrieved. The LoE and type of study design were extracted from abstracts and other bibliographic and citation information was obtained from PubMed and Web of Science databases. Independent samples t-test, one-way ANOVA, Pearson correlation test and linear regression were used to analyze the relationship between the variables. Results: Articles with level I evidence had the lowest frequency (290, 7.9%) and articles with level IV had the highest frequency (1,831, 49.7%). Five-year citations ranged from zero to 215, with a median of 13 citations. The median values of five-year citations from level I to level V were 20.5, 15, 14, 11, and 6 citations, respectively. Evaluation of the models to examine the factors affecting the number of citations showed that the change of evidence-level from level I to V reduced the number of citations (P < 0.001). Conclusions: Journal Impact Factor, LoE, number of references, number of authors, number of title words, number of pages, article type and subject category accounted for about 25% of the variation in five-year citations of clinical papers. Clinical papers with high LoE (levels I & II) received more citations over a five-year period than those with lower LoE (levels III & IV).
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