Developing a Successful Technology Plan

2020 ◽  
pp. 15-22
Author(s):  
Steven P. Williams
Author(s):  
Melinda Bynog

The composition of a technology plan is a complex process composed of many parts. The integration of curriculum instruction, levels of technology across the curriculum, the establishment of technology standards, and strategies for the development of equity along with administration and support staff are just a few of the components that assist in the creation of a successful technology plan. A technology plan encompasses other plans, which provides the necessary support for the technology plan’s development. For example, there are professional development plans and technology support plans that have completely different goals. This chapter focuses on components, strategies, and information that comprise the foundation of a technology plan. The technology plan is a basic tool that can be modified to suit the situation, and used to outline and identify the basic needs for the development of a technology plan.


Author(s):  
Melinda Bynog

The composition of a technology plan is a complex process composed of many parts. The integration of curriculum instruction, levels of technology across the curriculum, the establishment of technology standards, and strategies for the development of equity along with administration and support staff are just a few of the components that assist in the creation of a successful technology plan. A technology plan encompasses other plans, which provides the necessary support for the technology plan's development. For example, there are professional development plans and technology support plans that have completely different goals. This chapter focuses on components, strategies, and information that comprise the foundation of a technology plan. The technology plan is a basic tool that can be modified to suit the situation, and used to outline and identify the basic needs for the development of a technology plan.


2021 ◽  
Vol 13 (14) ◽  
pp. 7790
Author(s):  
Albert Kampermann ◽  
Raymond Opdenakker ◽  
Beatrice Van der Heijden ◽  
Joost Bücker

With the rapid global spread and application of Information and Communication Technology (ICT), the question is whether every culture makes similar use of the ideology that often underlies its creators’ design. ICT applications are designed with underlying beliefs or principles about e.g., work, communication, and individuality. These beliefs or principles are invisible and hidden in software and, as such, in many instances not recognized by users in other cultures. These hidden principles might even frustrate the understanding, use, knowledge-sharing, and e-collaboration between people from different cultures. In this article, we aim to explore, from a historical point of view, the early years of adaptation of ICT in developing countries, and we will highlight the importance of the use of intercultural (ICT-)skills to learn to recognize cultural differences from a relationship-based definition in technology-mediated collaboration. A semi-systematic or narrative review approach is used that is particularly suitable for topics that have been conceptualized differently. Our review firstly summarizes and categorizes the cultural factors impacting the adaptation and diffusion of ICT, especially in developing countries, and investigates which factors could hinder and/or facilitate the collaboration with other countries. Secondly, the findings of a thorough comparison between different intercultural competencies’ frameworks indicate that intercultural competencies show a combination of motivation, knowledge (-management), and skills, which are key competencies in the light of successful technology-mediated collaboration.


2013 ◽  
Vol 765-767 ◽  
pp. 630-633 ◽  
Author(s):  
Chong Lin Zheng ◽  
Kuang Rong Hao ◽  
Yong Sheng Ding

Collaborative filtering recommendation algorithm is the most successful technology for recommendation systems. However, traditional collaborative filtering recommendation algorithm does not consider the change of time information. For this problem,this paper improve the algorithm with two new methods:Predict score incorporated with time information in order to reflect the user interest change; Recommend according to scores by adding the weight information determined by the item life cycle. Experimental results show that the proposed algorithm outperforms the traditional item in accuracy.


Author(s):  
Yuan Chen ◽  
Mohammad Mojaradi ◽  
Nazeeh Aranki ◽  
Ehsan Kazemian ◽  
Robert Grogan ◽  
...  

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