Estonian In-Service Teachers’ and Pre-service Teachers’ Perceptions of Content, Pedagogy, and Technology Knowledge, Based on the TPACK Framework

Author(s):  
Piret Luik ◽  
Merle Taimalu ◽  
Helin Laane
Author(s):  
Elina Mäkelä ◽  
Petra Auvinen ◽  
Tero Juuti

AbstractThe paper concerns the Finnish product development teacherś perceptions on their pedagogical content knowledge in higher education settings. The aim is to describe and analyse what kind of pedagogical content knowledge the teachers have and, therefore, to provide a better understanding of the type of knowledge unique to product development teaching. The model of pedagogical content knowledge used here includes the components of product development content knowledge, pedagogical knowledge and pedagogical content knowledge. Based on seven teacher interviews, the main content knowledge concerns the process of product development, its different phases and methods as well as the usage of different software programs. The teachers use diverse teaching methods and their attitude towards educational technology is mostly positive. Course learning outcomes and working life are acknowledged when planning teaching, but only a few teachers take curriculum into account and participate in curriculum design. Even though the teachers use different evaluation methods in teaching, new ways of evaluation are needed. This may be something that innovative educational technology tools can make possible.


Author(s):  
Alexander Wollenberg

This chapter portrays a quantitative framework regarding entry mode choice and ownership structures by measuring performance under given ownership structures as the degree of efficiency in technology transfer, and knowledge exchange in the form of a residual productivity growth variable. This method has been shown to be a proxy for or an indirect measure of transaction costs, in that ownership structures are validated by the growth in technology/knowledge-based productivity that they caused. In the process, the chapter discusses hierarchical entry modes and adjustment of ownership structures with respect to minimizing transaction costs incurred in the transfer and internalization of complementary assets, both tangible and intangible. Previous research has dealt with subsidiary performance mainly in terms of financial measures (e.g., profitability, ROA, ROE, ROI), instability, and lifespan. By contrast, this chapter extends existing research by providing a specific quantitative framework for optimizing technology/knowledge-based productivity growth. The second important contribution of the chapter is the linkage of the quantitative results to their applicability and potential for implementation in Japanese equity-based subsidiaries in Latin America over the lifetime of the subsidiaries. Other factors important in the implementation and internalization of new technologies and knowledge have also been analyzed quantitatively and linked to case studies qualitatively. The chapter further analyzes adaptations to regional contexts and parent companies of nationalities other than Japanese. Therefore, the model presented in the chapter addresses IJV ownership structures which are optimal to productivity growth linked to new technologies and knowledge and by adaptation of variables, and discusses results for emerging markets in Latin America, such as Peru, Colombia, and the newly industrialized Brazil. The chapter also highlights advantages and disadvantages of forming IJVs with a local partner of different levels of technological sophistication, and the degree of managerial and equity involvement to allow the local partner.


Author(s):  
Sujeeva Setunge ◽  
Arun Kumar

Urban infrastructure along the hard forms such as roads, electricity, water and sewers also includes the soft forms such as research, training, innovation and technology. Knowledge and creativity are keys to soft infrastructure and socioeconomic development. Many city administrations around the world adjust their endogenous development strategies increasingly by investing in soft infrastructure and aiming for a knowledge-based development. At this point, the mapping and management of knowledge assets of cities has become a critical issue for promoting creative urban regions. The chapter scrutinizes the relations between knowledge assets and urban infrastructures and examines the management models to improve soft infrastructure provision.


2012 ◽  
pp. 1476-1491
Author(s):  
Sujeeva Setunge ◽  
Arun Kumar

Urban infrastructure along the hard forms such as roads, electricity, water and sewers also includes the soft forms such as research, training, innovation and technology. Knowledge and creativity are keys to soft infrastructure and socioeconomic development. Many city administrations around the world adjust their endogenous development strategies increasingly by investing in soft infrastructure and aiming for a knowledge-based development. At this point, the mapping and management of knowledge assets of cities has become a critical issue for promoting creative urban regions. The chapter scrutinizes the relations between knowledge assets and urban infrastructures and examines the management models to improve soft infrastructure provision.


2002 ◽  
Vol 16 (2) ◽  
pp. 117-121 ◽  
Author(s):  
Charlotte Villadsen

In this paper the author describes activities at Aalborg University, Denmark, and gives examples of how a university, together with its regional partners, can actively influence and support the development of new high-technology knowledge-based industry clusters. In order for a region to achieve an internationally recognized cluster that can act as an engine for broader regional development, widespread local support is essential. The author argues that the most effective and long-lasting clusters are those that benefit from the support of a wide range of regional players. With this in mind, she presents two different approaches to cluster development in the region of Northern Jutland through a discussion of its telecommunications and biomedical technology clusters.


Author(s):  
Nilmini Wickramasinghe ◽  
Sushil K. Sharma

The exponential increase in information—primarily due to the electronic capture of data and its storage in vast data warehouses—has created a demand for analyzing the vast amount of data generated by today’s organizations so that enterprises can respond quickly to fast changing markets. These applications not only involve the analysis of the data but also require sophisticated tools for analysis. Knowledge discovery technologies are the new technologies that help to analyze data and find relationships from data to finding reasons behind observable patterns. Such new discoveries can have profound impact on designing business strategies. With the massive increase in data being collected and the demands of a new breed of intelligent applications like customer relationship management, demand planning and predictive forecasting, the knowledge discovery technologies have become necessities to providing high performance and feature rich intelligent application servers for intelligent enterprises. The new knowledge based economy entirely depends upon information technology, knowledge sharing, as well as intellectual capital and knowledge management.


2009 ◽  
Vol 6 (3) ◽  
pp. 393-398 ◽  
Author(s):  
Angela Weihong Yang ◽  
Garry Allan ◽  
Chun Guang Li ◽  
Charlie Changli Xue

Chinese medicine (CM) practice, as a knowledge-based industry, has not embraced knowledge management (KM) techniques widely. However, KM may facilitate the adaptation and promotion of evidence-based CM. A KM framework was introduced to its activities in evidence-based CM through the development of a CM portal. A codification strategy was used to codify and store knowledge systematically in a database. Several approaches were developed and implemented to address specific needs for CM such as centralizing the information, encouraging collective efforts, promoting integration of explicit and tacit knowledge, and developing a flexible technology and support system. Following the established KM framework, the RMIT Chinese Medicine Portal (www.chinese-medicine.com.au) was built up with four major components: organizational knowledge, knowledge workers, KM processes and information technology. Knowledge on Chinese herbs was classified into core, advanced and innovative categories, which involved the development of the monograph template. A working group was organized including CM, pharmacology and information technology professionals to implement this proposal with following sequential development stages: knowledge creation/acquisition, storage/organization, distribution and application. User interface and web language were also defined and accomplished. This case study demonstrates the applicability of KM in evidence-based CM through a multidisciplinary collaboration, such as, an effective collaboration between CM and information technology. The study also shows the potential of KM application in other disciplines of complementary and alternative medicine.


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