Pub Date : 2019-11-18DOI: 10.1108/idd-09-2019-0060
Xuan Du, Juan Yang, Brett E. Shelton, Jui-Long Hung
Purpose Online learning is well-known by its flexibility of learning anytime and anywhere. However, how behavioral patterns tied to learning anytime and anywhere influence learning outcomes are still unknown. Design/methodology/approach This study proposed concepts of time and location entropy to depict students’ spatial-temporal patterns. A total of 5,221 students with 1,797,677 logs, including 485 on-the-job students and 4,736 full-time students, were analyzed to depict their spatial-temporal learning patterns, including the relationships between identified patterns and students’ learning performance. Findings Analysis results indicate on-the-job students took more advantage of anytime, anywhere than full-time students. Students with a higher tendency for learning anytime and a lower level of learning anywhere were more likely to have better outcomes. Gender did not show consistent findings on students’ spatial-temporal patterns, but partial findings could be supported by evidence in neural science or by cultural and geographical differences. Research limitations/implications A more accurate approach for categorizing position and location might be considered. Some findings need more studies for further validation. Finally, future research can consider connections between other well-known performance predictors (such as financial situation, motivation, personality and major) and the type of learning patterns. Practical implications The findings gained from this study can help improve the understandings of students’ learning behavioral patterns and design as well as implement better online education programs. Originality/value This study proposed concepts of time and location entropy to identify successful spatial-temporal patterns of on-the-job and full-time students.
{"title":"Is learning anytime, anywhere a good strategy for success? Identifying successful spatial-temporal patterns of on-the-job and full-time students","authors":"Xuan Du, Juan Yang, Brett E. Shelton, Jui-Long Hung","doi":"10.1108/idd-09-2019-0060","DOIUrl":"https://doi.org/10.1108/idd-09-2019-0060","url":null,"abstract":"\u0000Purpose\u0000Online learning is well-known by its flexibility of learning anytime and anywhere. However, how behavioral patterns tied to learning anytime and anywhere influence learning outcomes are still unknown.\u0000\u0000\u0000Design/methodology/approach\u0000This study proposed concepts of time and location entropy to depict students’ spatial-temporal patterns. A total of 5,221 students with 1,797,677 logs, including 485 on-the-job students and 4,736 full-time students, were analyzed to depict their spatial-temporal learning patterns, including the relationships between identified patterns and students’ learning performance.\u0000\u0000\u0000Findings\u0000Analysis results indicate on-the-job students took more advantage of anytime, anywhere than full-time students. Students with a higher tendency for learning anytime and a lower level of learning anywhere were more likely to have better outcomes. Gender did not show consistent findings on students’ spatial-temporal patterns, but partial findings could be supported by evidence in neural science or by cultural and geographical differences.\u0000\u0000\u0000Research limitations/implications\u0000A more accurate approach for categorizing position and location might be considered. Some findings need more studies for further validation. Finally, future research can consider connections between other well-known performance predictors (such as financial situation, motivation, personality and major) and the type of learning patterns.\u0000\u0000\u0000Practical implications\u0000The findings gained from this study can help improve the understandings of students’ learning behavioral patterns and design as well as implement better online education programs.\u0000\u0000\u0000Originality/value\u0000This study proposed concepts of time and location entropy to identify successful spatial-temporal patterns of on-the-job and full-time students.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/idd-09-2019-0060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43032745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-20DOI: 10.1108/idd-02-2019-0012
K. Prakasha, Balachandra Muniyal, Vasundhara Acharya
Purpose The purpose of the study is to develop a secure, efficient, and enhanced user authentication mechanism to achieve reliable and authenticated connection. In online transactions, users and resources are located at different places, and the sensitive information is to be protected and transferred using the suitable, reliable mechanism. Design/methodology/approach One of the latest approach to handle the requirement is by a Public Key Infrastructure (PKI) or its variant Wireless Public Key Infrastructure (WPKI). Fundamental management techniques are required to be very secure and vital since they are one of the points of attack in public key cryptosystem. Entity authentication and key agreement (AKA) is a critical cryptographic problem in wireless communication, where a mutual entity authentication plays a vital role in the establishment of the secure and authentic connection. This paper proposes an efficient and enhanced AKA scheme (EAKA) with the end-to-end security and verifies the proposed system for protection using automated validation of internet security protocols and applications. An efficient way for the implementation of an enhanced version of the protocol is proposed using a lattice-based cryptographic algorithm. Findings The time consumed for the proposed research work shows that it is practical and acceptable. Originality/value The proposed research work is an efficient and enhanced user authentication mechanism.
{"title":"Enhanced authentication and key exchange for end to end security in mobile commerce using wireless public key infrastructure","authors":"K. Prakasha, Balachandra Muniyal, Vasundhara Acharya","doi":"10.1108/idd-02-2019-0012","DOIUrl":"https://doi.org/10.1108/idd-02-2019-0012","url":null,"abstract":"\u0000Purpose\u0000The purpose of the study is to develop a secure, efficient, and enhanced user authentication mechanism to achieve reliable and authenticated connection. In online transactions, users and resources are located at different places, and the sensitive information is to be protected and transferred using the suitable, reliable mechanism.\u0000\u0000\u0000Design/methodology/approach\u0000One of the latest approach to handle the requirement is by a Public Key Infrastructure (PKI) or its variant Wireless Public Key Infrastructure (WPKI). Fundamental management techniques are required to be very secure and vital since they are one of the points of attack in public key cryptosystem. Entity authentication and key agreement (AKA) is a critical cryptographic problem in wireless communication, where a mutual entity authentication plays a vital role in the establishment of the secure and authentic connection. This paper proposes an efficient and enhanced AKA scheme (EAKA) with the end-to-end security and verifies the proposed system for protection using automated validation of internet security protocols and applications. An efficient way for the implementation of an enhanced version of the protocol is proposed using a lattice-based cryptographic algorithm.\u0000\u0000\u0000Findings\u0000The time consumed for the proposed research work shows that it is practical and acceptable.\u0000\u0000\u0000Originality/value\u0000The proposed research work is an efficient and enhanced user authentication mechanism.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/idd-02-2019-0012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46938577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-07DOI: 10.1108/idd-01-2019-0001
Amjid Khan, S. Ahmed
PurposeThis paper aims to examine the relationships between the perceptions of library and information science (LIS) professionals about organizational culture (OC) and lifelong learning (LLL) in the university libraries of Pakistan.Design/methodology/approachThe study uses a positivist paradigm and quantitative research method to examine the relationships between OC and the dimensions of LLL among the LIS professionals in the university libraries of Pakistan. Using a stratified sampling technique, data were collected, through a structured questionnaire, from a sample of 226 LIS professionals (out of N = 545) working in 97 university libraries of the country.FindingsThe results of the study found that the respondents’ perceptions about OC had positively correlated with their LLL in the study context. All the dimensions of OC predicted respondents’ LLL practices in the study context.Practical implicationsThis study has practical implications for library leadership and LIS professionals to determine how the university libraries are likely to behave with LLL practices to accomplish the target goals.Social implicationsThe results of this study can be used as supporting source and rationale for university libraries to develop strategic plans and policies for implementing LLL practices among LIS professionals of academic libraries.Originality/valueThe published literature shows the absence of any credible research carried out to know the influence of OC on LLL of LIS professionals.
{"title":"Analyzing the relationship between organizational culture and lifelong learning among the information professionals in the university libraries of Pakistan","authors":"Amjid Khan, S. Ahmed","doi":"10.1108/idd-01-2019-0001","DOIUrl":"https://doi.org/10.1108/idd-01-2019-0001","url":null,"abstract":"PurposeThis paper aims to examine the relationships between the perceptions of library and information science (LIS) professionals about organizational culture (OC) and lifelong learning (LLL) in the university libraries of Pakistan.Design/methodology/approachThe study uses a positivist paradigm and quantitative research method to examine the relationships between OC and the dimensions of LLL among the LIS professionals in the university libraries of Pakistan. Using a stratified sampling technique, data were collected, through a structured questionnaire, from a sample of 226 LIS professionals (out of N = 545) working in 97 university libraries of the country.FindingsThe results of the study found that the respondents’ perceptions about OC had positively correlated with their LLL in the study context. All the dimensions of OC predicted respondents’ LLL practices in the study context.Practical implicationsThis study has practical implications for library leadership and LIS professionals to determine how the university libraries are likely to behave with LLL practices to accomplish the target goals.Social implicationsThe results of this study can be used as supporting source and rationale for university libraries to develop strategic plans and policies for implementing LLL practices among LIS professionals of academic libraries.Originality/valueThe published literature shows the absence of any credible research carried out to know the influence of OC on LLL of LIS professionals.","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/idd-01-2019-0001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47726898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose MicroRNAs (miRNAs) have been proved to be a significant type of non-coding RNAs related to various human diseases. This paper aims to identify the potential miRNA–disease interactions. Design/methodology/approach A computational framework, MDIRM is presented to predict miRNAs-disease interactions. Unlike traditional approaches, the miRNA function similarity is calculated by miRNA–disease interactions. The k-mean method is further used to cluster miRNA similarity network. For miRNAs in the same cluster, their similarities are enhanced, as the miRNAs from the same cluster may be reliable. Further, the potential miRNA–disease association is predicted by using recommend method. Findings To evaluate the performance of our model, the fivefold cross validation is implemented to compare with two state-of-the-art methods. The experimental results indicate that MDIRM achieves an AUC of 0.926, which outperforms other methods. Originality/value This paper proposes a novel computational method for miRNA–disease interaction prediction based on recommend method. Identifying the relationship between miRNAs and diseases not only helps us better understand the disease occurrence and mechanism through the perspective of miRNA but also promotes disease diagnosis and treatment.
{"title":"Predicting miRNA-disease interaction based on recommend method","authors":"Qingfeng Chen, Zhe Zhao, Wei Lan, Ruchang Zhang, Jiahai Liang","doi":"10.1108/idd-04-2019-0026","DOIUrl":"https://doi.org/10.1108/idd-04-2019-0026","url":null,"abstract":"\u0000Purpose\u0000MicroRNAs (miRNAs) have been proved to be a significant type of non-coding RNAs related to various human diseases. This paper aims to identify the potential miRNA–disease interactions.\u0000\u0000\u0000Design/methodology/approach\u0000A computational framework, MDIRM is presented to predict miRNAs-disease interactions. Unlike traditional approaches, the miRNA function similarity is calculated by miRNA–disease interactions. The k-mean method is further used to cluster miRNA similarity network. For miRNAs in the same cluster, their similarities are enhanced, as the miRNAs from the same cluster may be reliable. Further, the potential miRNA–disease association is predicted by using recommend method.\u0000\u0000\u0000Findings\u0000To evaluate the performance of our model, the fivefold cross validation is implemented to compare with two state-of-the-art methods. The experimental results indicate that MDIRM achieves an AUC of 0.926, which outperforms other methods.\u0000\u0000\u0000Originality/value\u0000This paper proposes a novel computational method for miRNA–disease interaction prediction based on recommend method. Identifying the relationship between miRNAs and diseases not only helps us better understand the disease occurrence and mechanism through the perspective of miRNA but also promotes disease diagnosis and treatment.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/idd-04-2019-0026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46762535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-31DOI: 10.1108/idd-01-2019-0011
C. Taouche, H. Belhadef
Purpose Palmprint recognition is a very interesting and promising area of research. Much work has already been done in this area, but much more needs to be done to make the systems more efficient. In this paper, a multimodal biometrics system based on fusion of left and right palmprints of a person is proposed to overcome limitations of unimodal systems. Design/methodology/approach Features are extracted using some proposed multi-block local descriptors in addition to MBLBP. Fusion of extracted features is done at feature level by a simple concatenation of feature vectors. Then, feature selection is performed on the resulting global feature vector using evolutionary algorithms such as genetic algorithms and backtracking search algorithm for a comparison purpose. The benefits of such step selecting the relevant features are known in the literature, such as increasing the recognition accuracy and reducing the feature set size, which results in runtime saving. In matching step, Chi-square similarity measure is used. Findings The resulting feature vector length representing a person is compact and the runtime is reduced. Originality/value Intensive experiments were done on the publicly available IITD database. Experimental results show a recognition accuracy of 99.17 which prove the effectiveness and robustness of the proposed multimodal biometrics system than other unimodal and multimodal biometrics systems.
{"title":"Multimodal biometric system combining left and right palmprints","authors":"C. Taouche, H. Belhadef","doi":"10.1108/idd-01-2019-0011","DOIUrl":"https://doi.org/10.1108/idd-01-2019-0011","url":null,"abstract":"\u0000Purpose\u0000Palmprint recognition is a very interesting and promising area of research. Much work has already been done in this area, but much more needs to be done to make the systems more efficient. In this paper, a multimodal biometrics system based on fusion of left and right palmprints of a person is proposed to overcome limitations of unimodal systems.\u0000\u0000\u0000Design/methodology/approach\u0000Features are extracted using some proposed multi-block local descriptors in addition to MBLBP. Fusion of extracted features is done at feature level by a simple concatenation of feature vectors. Then, feature selection is performed on the resulting global feature vector using evolutionary algorithms such as genetic algorithms and backtracking search algorithm for a comparison purpose. The benefits of such step selecting the relevant features are known in the literature, such as increasing the recognition accuracy and reducing the feature set size, which results in runtime saving. In matching step, Chi-square similarity measure is used.\u0000\u0000\u0000Findings\u0000The resulting feature vector length representing a person is compact and the runtime is reduced.\u0000\u0000\u0000Originality/value\u0000Intensive experiments were done on the publicly available IITD database. Experimental results show a recognition accuracy of 99.17 which prove the effectiveness and robustness of the proposed multimodal biometrics system than other unimodal and multimodal biometrics systems.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/idd-01-2019-0011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48090688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-19DOI: 10.1108/IDD-08-2018-0029
Ifeanyi J. Ezema, C. I. Ugwu
Purpose Since the development of web 2.0, there has been a paradigm shift in methods of knowledge sharing. This has equally impacted on techniques of research evaluation. Many scholars have argued that the social utilization of research is hardly reflected in the traditional methods of research evaluation. The purpose of this paper is to determine the research impact of Library and Information Science (LIS) journals using Web of Science (WoS), Scopus and Google Scholar (GS) and then examine whether there is a correlation between their citations and altmetric attentions. Design/methodology/approach This paper is an attempt to contribute to this discussion with focus on the field of LIS. This paper adopted descriptive informatics to analyze LIS journals. The paper extracted citation data from WoS, Scopus and GS, and altmetric attentions from 85 LIS journals indexed by WoS. Further, 18 journals with high altmetric attention were identified, while 9 of these maintained consistent presence in the three databases used. Findings Findings show that of these databases, citation data from GS was found to have a high correlation with altmetric attention, while the other two databases maintained moderate correlations with altmetric attention. The paper also found a positive but non-significant correlation between citation scores and altmetric attention in the nine journals that maintained consistent presence in the three databases. Practical implications The findings of this paper will be useful to librarians in selection of relevant journals for their libraries and also will assist authors in the choice of publication outlets for their papers particularly when considering journals that have visibility and research impact. Originality/value The originality of the paper lies on empirical evidences from the citation and altmetric data extracted from the databases used for the paper.
自web 2.0发展以来，知识共享的方法发生了范式转变。这同样影响了研究评估的技术。许多学者认为，传统的研究评价方法很难反映研究的社会利用。本文的目的是利用Web of Science (WoS)、Scopus和谷歌Scholar (GS)来确定图书馆情报学(Library and Information Science, LIS)期刊的研究影响力，并检验它们的被引率与替代关注之间是否存在相关性。设计/方法/方法本文试图对这一讨论做出贡献，重点关注LIS领域。本文采用描述信息学方法对LIS期刊进行分析。本文提取了WoS、Scopus和GS的引文数据，以及被WoS收录的85种LIS期刊的替代关注数据。此外，确定了18种高度替代关注的期刊，其中9种在使用的三个数据库中保持一致的存在。研究结果表明，在这些数据库中，来自GS的引文数据与替代计量关注具有较高的相关性，而其他两个数据库与替代计量关注保持中等相关性。本文还发现，在三个数据库中保持一致的9种期刊中，引文得分与替代关注之间存在正相关，但不显著。本文的研究结果将有助于图书馆员为其图书馆选择相关期刊，也将有助于作者为其论文选择出版渠道，特别是在考虑具有知名度和研究影响力的期刊时。原创性/价值这篇论文的原创性在于从论文所使用的数据库中提取的引文和替代数据的经验证据。
{"title":"Correlating research impact of library and information science journals using citation counts and altmetrics attention","authors":"Ifeanyi J. Ezema, C. I. Ugwu","doi":"10.1108/IDD-08-2018-0029","DOIUrl":"https://doi.org/10.1108/IDD-08-2018-0029","url":null,"abstract":"\u0000Purpose\u0000Since the development of web 2.0, there has been a paradigm shift in methods of knowledge sharing. This has equally impacted on techniques of research evaluation. Many scholars have argued that the social utilization of research is hardly reflected in the traditional methods of research evaluation. The purpose of this paper is to determine the research impact of Library and Information Science (LIS) journals using Web of Science (WoS), Scopus and Google Scholar (GS) and then examine whether there is a correlation between their citations and altmetric attentions.\u0000\u0000\u0000Design/methodology/approach\u0000This paper is an attempt to contribute to this discussion with focus on the field of LIS. This paper adopted descriptive informatics to analyze LIS journals. The paper extracted citation data from WoS, Scopus and GS, and altmetric attentions from 85 LIS journals indexed by WoS. Further, 18 journals with high altmetric attention were identified, while 9 of these maintained consistent presence in the three databases used.\u0000\u0000\u0000Findings\u0000Findings show that of these databases, citation data from GS was found to have a high correlation with altmetric attention, while the other two databases maintained moderate correlations with altmetric attention. The paper also found a positive but non-significant correlation between citation scores and altmetric attention in the nine journals that maintained consistent presence in the three databases.\u0000\u0000\u0000Practical implications\u0000The findings of this paper will be useful to librarians in selection of relevant journals for their libraries and also will assist authors in the choice of publication outlets for their papers particularly when considering journals that have visibility and research impact.\u0000\u0000\u0000Originality/value\u0000The originality of the paper lies on empirical evidences from the citation and altmetric data extracted from the databases used for the paper.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":"1 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/IDD-08-2018-0029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41359193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-19DOI: 10.1108/IDD-09-2018-0046
S. Ahmed, F. Rehman, Arslan Sheikh
Purpose This paper aims to identify the personality traits (agreeableness, openness to experience, extraversion, conscientiousness and neuroticism) of library and information science (LIS) students in Pakistan. The difference among the personality traits of LIS students toward their information needs and seeking behavior is also analyzed. Design/methodology/approach Two instruments, namely, BFI scale and a self-structured instrument were used to collect the data. Kruskal–Wallis test was applied to find out differences among the personality traits of LIS students toward their information needs and seeking behavior. Findings Findings of the study revealed that out of 320 respondents, 186 possessed openness to experience, while only 7 possessed extraversion personality trait. Moreover, the students having extraversion personality trait were, generally, more concerned toward information needs. On the other hand students having conscientious trait were increasingly more seekers of information. Overall, the conscientiousness was identified as the most suitable personality trait for LIS students. A significant difference was also observed among all the personality traits of LIS students. Practical implications The findings of this study will help in the identification of LIS individual’s personality. The library managers can use these personality traits for the selection of suitable library professionals for their libraries. Originality/value This study can be valuable for the induction of new library professionals and also help managers in assigning the duties based on these personality traits.
{"title":"Impact of personality traits on information needs and seeking behavior of LIS students in Pakistan","authors":"S. Ahmed, F. Rehman, Arslan Sheikh","doi":"10.1108/IDD-09-2018-0046","DOIUrl":"https://doi.org/10.1108/IDD-09-2018-0046","url":null,"abstract":"\u0000Purpose\u0000This paper aims to identify the personality traits (agreeableness, openness to experience, extraversion, conscientiousness and neuroticism) of library and information science (LIS) students in Pakistan. The difference among the personality traits of LIS students toward their information needs and seeking behavior is also analyzed.\u0000\u0000\u0000Design/methodology/approach\u0000Two instruments, namely, BFI scale and a self-structured instrument were used to collect the data. Kruskal–Wallis test was applied to find out differences among the personality traits of LIS students toward their information needs and seeking behavior.\u0000\u0000\u0000Findings\u0000Findings of the study revealed that out of 320 respondents, 186 possessed openness to experience, while only 7 possessed extraversion personality trait. Moreover, the students having extraversion personality trait were, generally, more concerned toward information needs. On the other hand students having conscientious trait were increasingly more seekers of information. Overall, the conscientiousness was identified as the most suitable personality trait for LIS students. A significant difference was also observed among all the personality traits of LIS students.\u0000\u0000\u0000Practical implications\u0000The findings of this study will help in the identification of LIS individual’s personality. The library managers can use these personality traits for the selection of suitable library professionals for their libraries.\u0000\u0000\u0000Originality/value\u0000This study can be valuable for the induction of new library professionals and also help managers in assigning the duties based on these personality traits.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/IDD-09-2018-0046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43970385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-19DOI: 10.1108/IDD-07-2017-0058
Ali Al-Harrasi, Ahmed Taha
Purpose The study aims to discuss the special needs-centric information delivery as a new genre of the academic library services. It also sheds light on the assistive technology used to help blind or visually impaired (BVI) students to access the available digital contents and use online services conveniently. A particular emphasis placed on gaining some insights into BVIs’ perceptions towards the orientation and assistance offered by the access service librarians, as well as any experience in using assistive educational technology for reading and information access. Design/methodology/approach The authors used semi-structured interview survey to gather the necessary data from 35 BVI university students drawn from the Special Needs Services (SNS) Unit at the UAE University. The interview was concerned with use of library e-resources and online services for doing their assignments, easy-to-use facilities to access the e-resources and main challenges facing them in communicating with the librarians. Findings The findings revealed that the BVI students considered that the university library does not answer their needs for getting access to digital content and using online services adequately. Practical implications The Main Library should cooperate closely with the SNS Unit to get the most benefits from their experience in the BVI-devoted services to develop an efficient library information discovery and delivery to this student group. Originality/value There is scarcity of scholarly studies on the pedagogical and information acquisition challenges facing the BVI university students in the UAE higher education. This is the first research study that tackles the experience of the BVI students in using the academic library.
{"title":"Networked library access and services delivery for the blind and visually impaired university students: evidence from the UAE","authors":"Ali Al-Harrasi, Ahmed Taha","doi":"10.1108/IDD-07-2017-0058","DOIUrl":"https://doi.org/10.1108/IDD-07-2017-0058","url":null,"abstract":"\u0000Purpose\u0000The study aims to discuss the special needs-centric information delivery as a new genre of the academic library services. It also sheds light on the assistive technology used to help blind or visually impaired (BVI) students to access the available digital contents and use online services conveniently. A particular emphasis placed on gaining some insights into BVIs’ perceptions towards the orientation and assistance offered by the access service librarians, as well as any experience in using assistive educational technology for reading and information access.\u0000\u0000\u0000Design/methodology/approach\u0000The authors used semi-structured interview survey to gather the necessary data from 35 BVI university students drawn from the Special Needs Services (SNS) Unit at the UAE University. The interview was concerned with use of library e-resources and online services for doing their assignments, easy-to-use facilities to access the e-resources and main challenges facing them in communicating with the librarians.\u0000\u0000\u0000Findings\u0000The findings revealed that the BVI students considered that the university library does not answer their needs for getting access to digital content and using online services adequately.\u0000\u0000\u0000Practical implications\u0000The Main Library should cooperate closely with the SNS Unit to get the most benefits from their experience in the BVI-devoted services to develop an efficient library information discovery and delivery to this student group.\u0000\u0000\u0000Originality/value\u0000There is scarcity of scholarly studies on the pedagogical and information acquisition challenges facing the BVI university students in the UAE higher education. This is the first research study that tackles the experience of the BVI students in using the academic library.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/IDD-07-2017-0058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49509586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-19DOI: 10.1108/IDD-09-2018-0045
J. Balakumar, S. Mohan
Purpose Owing to the huge volume of documents available on the internet, text classification becomes a necessary task to handle these documents. To achieve optimal text classification results, feature selection, an important stage, is used to curtail the dimensionality of text documents by choosing suitable features. The main purpose of this research work is to classify the personal computer documents based on their content. Design/methodology/approach This paper proposes a new algorithm for feature selection based on artificial bee colony (ABCFS) to enhance the text classification accuracy. The proposed algorithm (ABCFS) is scrutinized with the real and benchmark data sets, which is contrary to the other existing feature selection approaches such as information gain and χ2 statistic. To justify the efficiency of the proposed algorithm, the support vector machine (SVM) and improved SVM classifier are used in this paper. Findings The experiment was conducted on real and benchmark data sets. The real data set was collected in the form of documents that were stored in the personal computer, and the benchmark data set was collected from Reuters and 20 Newsgroups corpus. The results prove the performance of the proposed feature selection algorithm by enhancing the text document classification accuracy. Originality/value This paper proposes a new ABCFS algorithm for feature selection, evaluates the efficiency of the ABCFS algorithm and improves the support vector machine. In this paper, the ABCFS algorithm is used to select the features from text (unstructured) documents. Although, there is no text feature selection algorithm in the existing work, the ABCFS algorithm is used to select the data (structured) features. The proposed algorithm will classify the documents automatically based on their content.
{"title":"Artificial bee colony algorithm for feature selection and improved support vector machine for text classification","authors":"J. Balakumar, S. Mohan","doi":"10.1108/IDD-09-2018-0045","DOIUrl":"https://doi.org/10.1108/IDD-09-2018-0045","url":null,"abstract":"\u0000Purpose\u0000Owing to the huge volume of documents available on the internet, text classification becomes a necessary task to handle these documents. To achieve optimal text classification results, feature selection, an important stage, is used to curtail the dimensionality of text documents by choosing suitable features. The main purpose of this research work is to classify the personal computer documents based on their content.\u0000\u0000\u0000Design/methodology/approach\u0000This paper proposes a new algorithm for feature selection based on artificial bee colony (ABCFS) to enhance the text classification accuracy. The proposed algorithm (ABCFS) is scrutinized with the real and benchmark data sets, which is contrary to the other existing feature selection approaches such as information gain and χ2 statistic. To justify the efficiency of the proposed algorithm, the support vector machine (SVM) and improved SVM classifier are used in this paper.\u0000\u0000\u0000Findings\u0000The experiment was conducted on real and benchmark data sets. The real data set was collected in the form of documents that were stored in the personal computer, and the benchmark data set was collected from Reuters and 20 Newsgroups corpus. The results prove the performance of the proposed feature selection algorithm by enhancing the text document classification accuracy.\u0000\u0000\u0000Originality/value\u0000This paper proposes a new ABCFS algorithm for feature selection, evaluates the efficiency of the ABCFS algorithm and improves the support vector machine. In this paper, the ABCFS algorithm is used to select the features from text (unstructured) documents. Although, there is no text feature selection algorithm in the existing work, the ABCFS algorithm is used to select the data (structured) features. The proposed algorithm will classify the documents automatically based on their content.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/IDD-09-2018-0045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44285977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-20DOI: 10.1108/IDD-10-2018-0053
D. Foung, Julia Chen
Purpose This study aims to explore disciplinary differences in completing blended learning tasks in an academic literacy course and the feasibility of adopting a blended learning analytics approach to explore disciplinary differences. Design/methodology/approach Following a learning analytics approach, this study blends data from the learning management system and timetabling arrangements. Findings Results suggest that online behaviors of design students and accounting students are different in terms of starting day and completion rate. Blending data sources also provides a new perspective to our learning analytics study. Originality/value This study is an important contribution to the field because studies on learning analytics with multiple data sources are rare, and most disciplinary studies rely on survey data; students’ actual behaviors are under-explored.
{"title":"Discovering disciplinary differences: blending data sources to explore the student online behaviors in a University English course","authors":"D. Foung, Julia Chen","doi":"10.1108/IDD-10-2018-0053","DOIUrl":"https://doi.org/10.1108/IDD-10-2018-0053","url":null,"abstract":"\u0000Purpose\u0000This study aims to explore disciplinary differences in completing blended learning tasks in an academic literacy course and the feasibility of adopting a blended learning analytics approach to explore disciplinary differences.\u0000\u0000\u0000Design/methodology/approach\u0000Following a learning analytics approach, this study blends data from the learning management system and timetabling arrangements.\u0000\u0000\u0000Findings\u0000Results suggest that online behaviors of design students and accounting students are different in terms of starting day and completion rate. Blending data sources also provides a new perspective to our learning analytics study.\u0000\u0000\u0000Originality/value\u0000This study is an important contribution to the field because studies on learning analytics with multiple data sources are rare, and most disciplinary studies rely on survey data; students’ actual behaviors are under-explored.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/IDD-10-2018-0053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47875465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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