{"title":"Introduction","authors":"K. Rebmann","doi":"10.1080/13614576.2022.2161265","DOIUrl":null,"url":null,"abstract":"Our December issue of New Review of Information Networking (NRIN) represents a time of transition to a new Editor (I’m happy to join NRIN) and a space for refocus on networks of information across the many contexts of library & information science, social media, and higher education. The first article, Sümeyye Akça’s Access beyond borders: Linked Open Data applications on cultural heritage, explores the role linked open data (LOD) applications play in the work of cultural memory institutions. With the goal of making collections more discoverable and searchable collections more visible and primed for web-based discovery, Akça draws attention to the many considerations of successfully deploying LOD technologies. Qixiang Wu and Lin He extend the theme of discovery to their work with topic clustering in microblogging, Research on Multi-tag Propagation Clustering Method for Microblog Hot Topic Discovery. With a multi-labelpropagation approach to recommendation algorithms, the team shares ideas for improving the process for connecting users with relevant topics in public opinion. In A study of the effect of hybrid English teaching by teachers using MOOC mode, Zhiming Liu explores hybrid English teaching practices in Massive Open Online Courses (MOOC) learning environments. With a focus on evaluating student learning and engagement, consideration is given to the impact of “learning networks design” to effective educational processes. Shifting the lens from student achievement to faculty performance, Xueqiang Wang’s Research on the evaluation methods of English teaching quality in the context of online education shares a back-propagation neural network (BPNN) method of evaluating online teaching quality. The automation model shared is one step on the road to the application of automation to challenges of quality in online teaching. From the articles in our December issue, it is evident that many researchers working communities connected to NRIN have taken steps toward confronting the challenges of scaling dimensions of discoverability, recommendation activities, and online education. Each of the articles address these issues as they navigate networks of cultural heritage, social media, and distributed learning. As always, if you are engaged in research exploring networks of information, NRIN would love to hear from you. Our Instructions for Authors outline the topics and process for submitting an article for review. If you have questions or wish to bounce ideas off the editor, please review our Aims and Scope and feel free to contact me at the e-mail address below. We particularly NEW REVIEW OF INFORMATION NETWORKING 2022, VOL. 27, NO. 2, 69–70 https://doi.org/10.1080/13614576.2022.2161265","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":"27 1","pages":"69 - 70"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Review of Information Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13614576.2022.2161265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Our December issue of New Review of Information Networking (NRIN) represents a time of transition to a new Editor (I’m happy to join NRIN) and a space for refocus on networks of information across the many contexts of library & information science, social media, and higher education. The first article, Sümeyye Akça’s Access beyond borders: Linked Open Data applications on cultural heritage, explores the role linked open data (LOD) applications play in the work of cultural memory institutions. With the goal of making collections more discoverable and searchable collections more visible and primed for web-based discovery, Akça draws attention to the many considerations of successfully deploying LOD technologies. Qixiang Wu and Lin He extend the theme of discovery to their work with topic clustering in microblogging, Research on Multi-tag Propagation Clustering Method for Microblog Hot Topic Discovery. With a multi-labelpropagation approach to recommendation algorithms, the team shares ideas for improving the process for connecting users with relevant topics in public opinion. In A study of the effect of hybrid English teaching by teachers using MOOC mode, Zhiming Liu explores hybrid English teaching practices in Massive Open Online Courses (MOOC) learning environments. With a focus on evaluating student learning and engagement, consideration is given to the impact of “learning networks design” to effective educational processes. Shifting the lens from student achievement to faculty performance, Xueqiang Wang’s Research on the evaluation methods of English teaching quality in the context of online education shares a back-propagation neural network (BPNN) method of evaluating online teaching quality. The automation model shared is one step on the road to the application of automation to challenges of quality in online teaching. From the articles in our December issue, it is evident that many researchers working communities connected to NRIN have taken steps toward confronting the challenges of scaling dimensions of discoverability, recommendation activities, and online education. Each of the articles address these issues as they navigate networks of cultural heritage, social media, and distributed learning. As always, if you are engaged in research exploring networks of information, NRIN would love to hear from you. Our Instructions for Authors outline the topics and process for submitting an article for review. If you have questions or wish to bounce ideas off the editor, please review our Aims and Scope and feel free to contact me at the e-mail address below. We particularly NEW REVIEW OF INFORMATION NETWORKING 2022, VOL. 27, NO. 2, 69–70 https://doi.org/10.1080/13614576.2022.2161265
期刊介绍:
Information networking is an enabling technology with the potential to integrate and transform information provision, communication and learning. The New Review of Information Networking, published biannually, provides an expert source on the needs and behaviour of the network user; the role of networks in teaching, learning, research and scholarly communication; the implications of networks for library and information services; the development of campus and other information strategies; the role of information publishers on the networks; policies for funding and charging for network and information services; and standards and protocols for network applications.