{"title":"Mobilizing Learning: Using Moodle and Online Tools via Smartphones","authors":"S. AlKindi, M. Al-Suqri","doi":"10.5865/IJKCT.2017.7.3.067","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.3.067","url":null,"abstract":"The emergence of smart devices such as smartphones (e.g., iPhone) and tablets (e.g., iPad) may enhance e-learning by increasing communication and collaborative learning outside the classroom. These devices also facilitate the use of online technologies such as Facebook. However, the adaptation of Learning Management System (LMS) services to mobile devices took longer than social networks or online tools such as Facebook and Twitter have already been long used via smartphone. The main purposes of this study are to explore students’ skill levels of LMS (Moodle) and their knowledge of online tools or technologies and then examine if there is a correlation between smartphone use and using of online tools and Moodle in learning. The study conducted among 173 students in the Department of Information Studies (DIS) in Oman, using online survey. The study found that most students demonstrated high levels of accessing course/subject materials and regularly engaging with studies of using LMSs. YouTube, Wikipedia and Facebook were clearly recorded as the most popular sites among students while LinkedIn and Academia.edu were two online tools that had never been heard of by over half of the 142 participants. Emailing and searching are recorded the most popular online learning activities among students. The study concluded that students prefer to use smartphone for accessing these tools rather than using it to access LMSs, while a positive correlation was found between the use of these tools and smartphones, but there was no correlation between smartphones and using LMSs.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"67-86"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46566202","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}
{"title":"Retrieval of Scholarly Articles with Similar Core Contents","authors":"Rey-Long Liu","doi":"10.5865/IJKCT.2017.7.3.005","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.3.005","url":null,"abstract":"Article history: Received 13 April 2017 Revised 29 July 2017 Accepted 01 August 2017 Retrieval of scholarly articles about a specific research issue is a routine job of researchers to cross-validate the evidence about the issue. Two articles that focus on a research issue should share similar terms in their core contents, including their goals, backgrounds, and conclusions. In this paper, we present a technique CCSE (Core Content Similarity Estimation) that, given an article a, recommends those articles that share similar core content terms with a. CCSE works on titles and abstracts of articles, which are publicly available. It estimates and integrates three kinds of similarity: goal similarity, background similarity, and conclusion similarity. Empirical evaluation shows that CCSE performs significantly better than several state-of-the-art techniques in recommending those biomedical articles that are judged (by domain experts) to be the ones whose core contents focus on the same research issues. CCSE works for those articles that present research background followed by main results and discussion, and hence it may be used to support the identification of the closely related evidence already published in these articles, even when only titles and abstracts of the articles are available.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"5-27"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46807994","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}
{"title":"Mapping of the Universe of Knowledge in Different Classification Schemes","authors":"M. Satija, D. Martínez-Ávila","doi":"10.5865/IJKCT.2017.7.2.085","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.2.085","url":null,"abstract":"","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"85-105"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48095385","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}
{"title":"A Study: UML for OOA and OOD","authors":"D. Rajagopal, K. Thilakavalli","doi":"10.5865/IJKCT.2017.7.2.005","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.2.005","url":null,"abstract":"","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"5-20"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45266109","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}
{"title":"Intention Classification for Retrieval of Health Questions","authors":"Rey-Long Liu","doi":"10.5865/IJKCT.2017.7.1.101","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.1.101","url":null,"abstract":"Healthcare professionals have edited many health questions (HQs) and their answers for healthcare consumers on the Internet. The HQs provide both readable and reliable health information, and hence retrieval of those HQs that are relevant to a given question is essential for health education and promotion through the Internet. However, retrieval of relevant HQs needs to be based on the recognition of the intention of each HQ, which is difficult to be done by predefining syntactic and semantic rules. We thus model the intention recognition problem as a text classification problem, and develop two techniques to improve a learning-based text classifier for the problem. The two techniques improve the classifier by location-based and area-based feature weightings, respectively. Experimental results show that, the two techniques can work together to significantly improve a Support Vector Machine classifier in both the recognition of HQ intentions and the retrieval of relevant HQs.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"101-120"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47964803","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}
{"title":"Legal Deposit in the Sultanate of Oman: The Law of Printing and Publishing and its Role in Building Oman’s Culture of Democracy","authors":"Naifa Eid Saleem, A. A. Kindi, Khalifa Ai-Rahbi","doi":"10.5865/IJKCT.2017.7.1.023","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.1.023","url":null,"abstract":"Omani citizens participate in building the culture of democracy through the implementation of the legal deposit or the Law of Printing and Publishing. Legal deposit is the law that requires individuals and agencies who are responsible for printing and applying the law in Oman, whether they are publishers, printing houses or authors, to submit certain copies of their work or publications to a repository, usually a library. The present study aims to explore the reality of the Omani Law of Printing and Publishing and discover how the law defines the term \"publications\". In addition to the role of this law in building the Omani culture of democracy, the study uses an interpretive research paradigm of applied unstructured interviews and content analysis. Twenty-four printing houses were interviewed. The findings determined that definition of the term \"publications\", according to the law, is very general and covers different items, and the Law of Printing and Publishing plays an essential role in the building of Oman’s culture of democracy. The study also found that all of the printing houses interviewed participated in creating the Omani culture by depositing the requested copies of their publications, although four of them had negative beliefs about the law of \"Printing and Publishing\". In addition, the study found (19=79.1%) of the sample interpreted the term \"culture of democracy\" in a positive way.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"244 8","pages":"23-55"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41258752","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}
{"title":"Library Professionals` Perception on the ICT Applications in Engineering College Libraries: A study on Tamil Nadu, India","authors":"S. Dhanavandan","doi":"10.5865/IJKCT.2017.7.1.005","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.1.005","url":null,"abstract":"This study discusses the library professionals’ perception of the ICT Applications in engineering college libraries in Tamil Nadu. The relevant data was collected from the library professionals in the self financing engineering colleges situated in Kanchipuram and Thiruvallur district of Tamil Nadu. 625 questionnaires were distributed, 504 replied with a response rate of 80.64%. It was found that the respondents with experience ‘Below 5 years’gave ‘Lack of infrastructure’ as the first priority. ‘Lack of interest on the part of users’ and ‘No support from administration in training library professionals’ were the second and third preferences indicated by the respondents. The least preferences were given for ‘Fear of ICT application’. Similarly, respondents with experience ‘6-10 years’ indicated ‘No support from administration in training library professionals’ as the first priority. The least preference was given for ‘Inadequate training in ICT applications’ by the above respondents. It can be inferred that the professionals accepted and need the training in ICT applications.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"5-22"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48941238","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}
{"title":"Comparison between Possibilistic c-Means (PCM) and Artificial Neural Network (ANN) Classification Algorithms in Land use/ Land cover Classification","authors":"G. Ganbold, Stanley Chasia","doi":"10.5865/IJKCT.2017.7.1.057","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.1.057","url":null,"abstract":"There are several statistical classification algorithms available for land use/land cover classification. However, each has a certain bias or compromise. Some methods like the parallel piped approach in supervised classification, cannot classify continuous regions within a feature. On the other hand, while unsupervised classification method takes maximum advantage of spectral variability in an image, the maximally separable clusters in spectral space may not do much for our perception of important classes in a given study area. In this research, the output of an ANN algorithm was compared with the Possibilistic c-Means an improvement of the fuzzy c-Means on both moderate resolutions Landsat8 and a high resolution Formosat 2 images. The Formosat 2 image comes with an 8m spectral resolution on the multispectral data. This multispectral image data was resampled to 10m in order to maintain a uniform ratio of 1:3 against Landsat 8 image. Six classes were chosen for analysis including: Dense forest, eucalyptus, water, grassland, wheat and riverine sand. Using a standard false color composite (FCC), the six features reflected differently in the infrared region with wheat producing the brightest pixel values. Signature collection per class was therefore easily obtained for all classifications. The output of both ANN and FCM, were analyzed separately for accuracy and an error matrix generated to assess the quality and accuracy of the classification algorithms. When you compare the results of the two methods on a per-class-basis, ANN had a crisper output compared to PCM which yielded clusters with pixels especially on the moderate resolution Landsat 8 imagery.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"57-78"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43757444","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}
Oluchi C. Okeke, S.G.N. Eze, J. U. Eze, George E. Asogwa
{"title":"Status of Medical Library Resources and Services in Teaching Hospitals in Enugu State, Nigeria: implications for quality health care services","authors":"Oluchi C. Okeke, S.G.N. Eze, J. U. Eze, George E. Asogwa","doi":"10.5865/IJKCT.2017.7.2.021","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.2.021","url":null,"abstract":"Article history: Received 26 September 2016 Revised 22 April 2017 Accepted 8 May 2017 Considering the need for quality health information and resultant health care services in any society, this study was carried out to look into the status of library and information resources and services provided by medical libraries in Enugu State, Nigeria. The main objective of the study was to find out the information resources and services available for medical library users towards quality health care provision. Five (5) medical libraries of major teaching hospitals were used for the study with 980 registered users as the study population from where 245 users were sampled. Observation checklist was used to collect data on resources while questionnaire was used to collect data from the respondents on the services provided. The Medical Library Association Standard guided the analysis of data from observation while frequency counts and mean scores were used to analyze data from the questionnaire. Major findings showed that even though some of the required resources and services are available and provided the medical libraries, most of the required resources and services are not adequately provided by these libraries.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"7 1","pages":"21-40"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71050209","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}
{"title":"A Study on the Evaluating Service Quality in Special Subject Repository: Focused on the 5·18 Archives","authors":"Dae-Hong Lee, Hyun Jin Hong","doi":"10.5865/IJKCT.2017.7.4.085","DOIUrl":"https://doi.org/10.5865/IJKCT.2017.7.4.085","url":null,"abstract":"Article history: Received 02 November 2017 Revised 24 November 2017 Accepted 15 December 2017 The purpose of this study is to measure and analyze the quality of service provided to the users by evaluating the service quality of the May 18 Democratic Uprising Archives, which is a representative,special subject repository, using the SERVQUAL model. To do this, revealing the relationship between factors such as service satisfaction of the archive users, overall service quality and intention of the action. Through this, this study developed service evaluation factors by considering the special subject repository.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"19 3 1","pages":"85-106"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71050296","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}