All posts by VPInstitute

Open Teaching: a New Way on E-learning? (full-text)

Open Teaching is currently considered an ambiguous and polysemic concept but has nevertheless become a growing global trend in ICT-based education. To identify key issues on the subject, this article presents a study on Open teaching that combines meta-synthesis and content analysis of research published over the last twenty years in major peer-reviewed databases. Six main analytical categories emerge from data, conforming six groups of findings. Those findings show that Open Teaching has been associated with various concepts over the years and that there is no consensus on its meaning in the academic community. The current understanding of Open Teaching, that it is merely related to distance education, thwarts important practical and conceptual possibilities by prioritizing access as its main feature and ignoring important “openness” attributes, such as adaptation, sharing, remixing or collaboration. Moreover, the findings note that the most common means to implement Open Teaching as an ICT-based practice are derived from the use of Open Educational Resources (OER) and via Massive Open Online Courses (MOOCs) which represents not only a major challenge for active educational practitioners but a new way of conceiving and implementing e-learning in higher education.

Full text at https://files.eric.ed.gov/fulltext/EJ1157965.pdf

Author(s): Andres Chiappe, Linda L. Lee
Organizaton(s): Universidad de la Sabana, Universidad de Córdoba
Source: The Electronic Journal of e-Learning
Year: 2017

Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics

Whereas traditional science maps emphasize citation statistics and static relationships, this paper presents a term-based method to identify and visualize the evolutionary pathways of scientific topics in a series of time slices. First, we create a data preprocessing model for accurate term cleaning, consolidating, and clustering. Then we construct a simulated data streaming function and introduce a learning process to train a relationship identification function to adapt to changing environments in real time, where relationships of topic evolution, fusion, death, and novelty are identified. The main result of the method is a map of scientific evolutionary pathways. The visual routines provide a way to indicate the interactions among scientific subjects and a version in a series of time slices helps further illustrate such evolutionary pathways in detail. The detailed outline offers sufficient statistical information to delve into scientific topics and routines and then helps address meaningful insights with the assistance of expert knowledge. This empirical study focuses on scientific proposals granted by the United States National Science Foundation, and demonstrates the feasibility and reliability. Our method could be widely applied to a range of science, technology, and innovation policy research, and offer insight into the evolutionary pathways of scientific activities.

http://onlinelibrary.wiley.com/doi/10.1002/asi.23814/full

Author(s): Yi Zhang, Guangquan Zhang, Donghua Zhu, Jie Lu
Organization(s): University of Technology Sydney, Beijing Institute of Technology
Source: Journal of the Association for Information Science and Technology
Year: 2017

Patentometric analysis of the process technologies of Companhia Siderúrgica Nacional (CSN)

This article aims at profiling the technological development of production processes of Companhia Siderúrgica Nacional (CSN). It analyzes the deposits of patent of CSN between the years of 1971 and 2009, classifying them in product technologies and process technologies. It was concluded that the CSN has made more deposit of patent for process technology than for product technology and that there are two distinct standard for the technology development one for the pre-privatization period and another for the pos-privatization period.

http://www.iaabr.com/journals/jaefa/jaefa-library/jaefa-vol-5-number-1-2015/

on ResearchGate https://www.researchgate.net/publication/280493052_Patentometric_analysis_of_the_process_technologies_of_Companhia_Siderurgica_Nacional_CSN

Author(s): Mariana Costa Fagundes, Maxwel de Azevedo Ferreira, Gustavo da Silva Motta, Ilton Curty Leal Junior, Vanessa da Silva Garcia
Organization(s): Universidade Federal Fluminense
Source: Journal of Advancements in Economics, Finance & Accounting (JAEFA)
Year: 2015

International Faculty Contribution to Local Research Capacity Building: A View from Publication Data

This descriptive single case study uses a combination of bibliometric, social network analysis, and content analysis methods to explore how international faculty members employed at a flagship university in Kazakhstan contribute to local research capacity building. The database for the study includes 361 scholarly articles retrieved from the Thompson Reuters Web of Science database, in which at least one author is affiliated with the analyzed flagship university. The analysis of the data shows that foreign faculty members contribute to research capacity building by expanding the contextualized knowledge base, by conducting research relevant to policy priorities, by broadening the area of research dissemination, and by integrating the university into the global research networks. The role of foreign faculty in the development of local researchers’ skills and knowledge remains unclear. While our study shows a low level of collaboration between locals and foreigners, this can be attributed to the age of the university under examination and needs to be considered further.

https://link.springer.com/article/10.1057/s41307-017-0067-3#citeas

Author(s): Aliya Kuzhabekova, Jack Lee
Organization: Nazarbayev University
Source: Higher Education Policy
Year: 2017

Tracking the emergence of synthetic biology (full-text)

Synthetic biology is an emerging domain that combines biological and engineering concepts and which has seen rapid growth in research, innovation, and policy interest in recent years. This paper contributes to efforts to delineate this emerging domain by presenting a newly constructed bibliometric definition of synthetic biology. Our approach is dimensioned from a core set of papers in synthetic biology, using procedures to obtain benchmark synthetic biology publication records, extract keywords from these benchmark records, and refine the keywords, supplemented with articles published in dedicated synthetic biology journals. We compare our search strategy with other recent bibliometric approaches to define synthetic biology, using a common source of publication data for the period from 2000 to 2015. The paper details the rapid growth and international spread of research in synthetic biology in recent years, demonstrates that diverse research disciplines are contributing to the multidisciplinary development of synthetic biology research, and visualizes this by profiling synthetic biology research on the map of science. We further show the roles of a relatively concentrated set of research sponsors in funding the growth and trajectories of synthetic biology. In addition to discussing these analyses, the paper notes limitations and suggests lines for further work.

Full-text available at https://link.springer.com/article/10.1007/s11192-017-2452-5

Author(s): Philip Shapira, Seokbeom Kwon, Jan Youtie
Organization(s): University of Manchester, Georgia Institute of Technology
Source: Scientometrics
Year: 2017

An indicator of technical emergence

Developing useful intelligence on scientific and technological emergence challenges those who would manage R&D portfolios, assess research programs, or manage innovation. Recently, the U.S. Intelligence Advanced Research Projects Activity Foresight and Understanding from Scientific Exposition Program has explored means to detect emergence via text analyses. We have been involved in positing conceptual bases for emergence, framing candidate indicators, and devising implementations. We now present a software script to generate a family of Emergence Indicators for a topic of interest. This paper offers some background, then discusses the development of this script through iterative rounds of testing, and then offers example findings. Results point to promising and actionable intelligence for R&D decision-makers.

https://link.springer.com/article/10.1007/s11192-018-2654-5?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst

Author(s): Stephen F. Carley, Nils C. Newman, Alan L. Porter, Jon G. Garner
Organizations(s): Search Technology
Source:
Scientometrics
Year: 2018

The role of future-oriented technology analysis in e-Government: a systematic review

During the last three decades, many governments have incorporated Information and Communication Technologies in their internal and external processes, a phenomenon widely known as electronic government (e-Government). Rationales for e-Government include increasing public services’ efficiency, speed, transparency, accountability, etc., and enhancing relations between government and stakeholders (citizens, businesses, third sector organisations). e-Government programmes are large-scale innovation projects; and Future-oriented Technology Analysis, FTA, is often used in the design of public policies in science, technology and innovation. FTA tools allow for systematic appraisal of potential challenges, opportunities, and threats, and thus informing the design of long-term strategies. The aim of this paper is to examine what a systematic literature review tells us about the application of FTA to support e-Government planning, implementation or evaluation. The review confirms that FTA played a role in supporting some e-Government initiatives, especially in their planning stages. However, few relevant exercises of this sort are reported in the English language, though the e-Government literature itself in that language- is voluminous. Previous researchers often attribute weaknesses in e-Government efforts to deficiencies in vision and strategic planning. Hopefully, this review can encourage both FTA and e-Government practitioners to apply FTA to e-Government development. This suggests that there is both opportunity and need to take greater advantage of FTA in this field.

https://link.springer.com/article/10.1007/s40309-017-0131-7

Author(s): J. M. Sánchez-Torres
Organization(s): Universidad Nacional de Colombia
Source: European Journal of Futures Research
Year: 2017

Knowledge Management Trends in Biotechnology in Brazil

This chapter presents a study on knowledge management and innovation in biotechnology area through analysis of scientific and technological advances of biotechnology trends in Brazil, providing an overview of the science profile as well as regional development and its relation to issues on topics based on the analysis of scientific publications for the last 20 years. Given these promising prospects, the monitoring and searching of scientific advances and trends in this area of knowledge have become essential for searching opportunities in research and development and also for potential innovations and business opportunities, both in the developed countries as well as in countries of emerging economies such as Brazil. The research was realized using database Web of Science with 60 terms selected in Biotechnology area and 73,125 documents have been organized. Scientific indicators were produced using data/text mining tools. A greater number of scientific publications were found in areas such as biochemistry and molecular biology; genetics and heredity showing a greater frequency in these terms: vaccine, PCR, and genome. Results pointed out the US as the main foreign partner-country of scientific publications followed by the UK, France, and Germany. It was possible to verify cooperation network with others Latin American countries.

https://www.intechopen.com/books/knowledge-management-strategies-and-applications/knowledge-management-trends-in-biotechnology-in-brazil

Author(s): Maria de Fátima Ebole Santana
Organization; Federal University of Rio de Janeiro
Source:  Knowledge Management Strategies and Applications
Year: 2017

A technology delivery system for characterizing the supply side of technology emergence: Illustrated for Big Data & Analytics

While there is a general recognition that breakthrough innovation is non-linear and requires an alignment between producers (supply) and users (demand), there is still a need for strategic intelligence about the emerging supply chains of new technological innovations. This technology delivery system (TDS) is an updated form of the TDS model and provides a promising chain-link approach to the supply side of innovation. Building on early research into supply-side TDS studies, we present a systematic approach to building a TDS model that includes four phases: (1) identifying the macroeconomic and policy environment, including market competition, financial investment, and industrial policy; (2) specifying the key public and private institutions; (3) addressing the core technical complements and their owners, then tracing their interactions through information linkages and technology transfers; and (4) depicting the market prospects and evaluating the potential profound influences on technological change and social developments. Our TDS methodology is illustrated using the field of Big Data & Analytics (“BDA”).

https://doi.org/10.1016/j.techfore.2017.09.012


Author(s):
Ying Huang, Alan L.Porter, Scott W. Cunningham, Douglas K.R. Robinson, Jianhua Liu, Donghua Zhu
Organization(s): Beijing Institute of Technology, Georgia Institute of Technology, Delft University of Technology, Université de Paris-Est, Chinese Academy of Sciences
Source:  Technological Forecasting and Social Change
Year: 2018

Visualization of Disciplinary Profiles: Enhanced Science Overlay Maps

Purpose
The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps.

Design/methodology/approach
We use the combined set of 2015 Journal Citation Reports for the Science Citation Index (n of journals = 8,778) and the Social Sciences Citation Index (n = 3,212) for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map (“wc15.exe”) is available at http://www.leydesdorff.net/wc15/index.htm.

Findings
Findings appear in the form of visuals throughout the manuscript. In Figures 1–9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies.

Research limitations
As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science.

Practical implications
Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper.

Originality/value
The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports.

https://www.degruyter.com/view/j/jdis.2017.2.issue-3/jdis-2017-0015/jdis-2017-0015.xml

Author(s): Stephen Carley, Alan L. Porter, Ismael Rafols, Loet Leydesdorff
Organization(s): Georgia Institute of Technology , Universitat Politècnica de València, University of Amsterdam
Source: Journal of Data and Information Science
Year: 2017