scholarly journals Is There an App for That?: Describing Smartphone Availability and Educational Technology Adoption Level of Louisiana School-Based Agricultural Educators

2018 ◽  
Vol 59 (1) ◽  
pp. 238-254 ◽  
Author(s):  
H. Eric Smith ◽  
Kristin Stair ◽  
J. Joey Blackburn ◽  
Madelyn Easley
2014 ◽  
Vol 635-637 ◽  
pp. 2063-2066
Author(s):  
Bo Li

This article first defines the meaning of educational technology and the ability of educational technology is divided into five levels, and the hierarchical structure of a rational argument; then to primary and secondary schools in the region for the sample of students and teachers conducted a survey to find out the ability of educational technology in the school and their teachers feedback on the training focuses on the training mode, this proposed training program for school teachers. Discussion on the training mode, the paper proposes a "complex method" training mode from the macro, in the form of centralized training and school-based training combined with training and noted that currently favored by teachers is still focused on face-linear form of training, but with the development of technological capabilities to improve teacher education and online education, the paper forecasts the network remote training will become a mainstream mode of training.


EDIS ◽  
2020 ◽  
Vol 2020 (6) ◽  
Author(s):  
Debra Barry ◽  
John Diaz ◽  
Alyssa Shepherd ◽  
Jennifer Patton ◽  
Stephen Gran

This article and series were designed primarily for use by secondary agriscience teachers in school-based agricultural education programs (SBAE) to help build a strong understanding of Extension and the role of Extension professionals. An important part of access and use of Extension services is understanding its background, structure, and function. This initial publication in the Understanding Extension for School-Based Agricultural Education series provides agricultural educators and the general public with a basic understanding of Extension. This new 4-page publication of the Department of Agricultural Education and Communication was written by Debra Barry, John Diaz, Alyssa Shepherd, Jennifer Patton, and Stephen Gran.https://edis.ifas.ufl.edu/wc372


2000 ◽  
Vol 14 (4) ◽  
pp. 403-425 ◽  
Author(s):  
Steven T. Walsh ◽  
Craig G. White

The Internal Revenue Service Restructuring and Reform Act of 1998 (the Act) places a heavy emphasis on electronic filing (or e-filing). Here we focus on the IRS's strategy, in response to the Act, for reaching an 80-percent level of e-filing by the year 2007. In this paper we ask the question: Given the current level of acceptance, is this is a realistic goal for individual taxpayers? We address this question through a discussion of the current elements of the electronic-filing process. Additionally, we apply technology-adoption literature to map out the current progress and techniques required to facilitate the adoption of e-filing. We conclude that, given the nonmandatory nature of the change, it is unlikely the 80-percent-adoption level will be reached for individuals by the year 2007. However, it appears that there are some avenues available to the IRS and Congress to further increase the usage of electronic filing.


Author(s):  
Bellarmine Ezumah

This chapter is an excerpt of a study that addressed the above concern using the One Laptop Per Child (OLPC) projects in Nigeria and Ghana as a case. It also situates the OLPC XO-laptop as a disruptive technology, because it aims at altering the existing pedagogy of the communities in which it was introduced through its constructivist approach. Moreover, as with most disruptive technologies, the XO laptop project is considered revolutionary, dramatically cheaper than regular laptops, convenient, and provides a different kind of learning content. As with the theme of this chapter, the XO laptop, although possessing disruptive technological qualities, was unable to achieve its goal due to lack of thorough planning and implementation of the adoption process. Results from the study informed the author to posit a model for technology adoption in low-income communities that is considered inclusive, participatory, and proactive, involving all stakeholders in setting up a policy. Such policy is expected to serve as benchmark for measuring the congruency of any proposed product whether disruptive or sustainable to the local need before its adoption.


2006 ◽  
Vol 05 (02) ◽  
pp. 179-207 ◽  
Author(s):  
LAKSHMAN S. THAKUR ◽  
VIJAY K. JAIN

As one of the top two fastest growing economies in the world, a study of technology adoption in India is a relevant and important topic today. This is especially true for two reasons; first, the economic ties between USA and India are growing increasingly stronger, and second, there is relatively a larger importance of industrial sector in the growth of developing economies. However, this appears to be the first survey of advance manufacturing technology (AMT) adoption in India that leads to the first measurements of various important variables related to AMT adoption process and presents the emergent implications for its future. In addition to current status, future implementation plans of AMT adoption and planned future investment for AMT adoption, our survey includes most of the important aspects of AMT adoption process: methods of AMT adoption processes used, critical success factors of AMT implementation, personnel shortages in AMT adoption process, benefits/results of AMT adoption, major obstacles to AMT adoption, and the relation of AMT adoption to research and development in the organization. For a relative perspective on important success factors, comparison is made between Indian firms and firms in Singapore for which data is available. Similarly, regarding the benefits of AMT adoption, obstacles to AMT adoption, and relationship of R&D with AMT adoption, we present a brief comparison with Canadian firms. Our analysis shows that four technologies that we can expect to move from the low current adoption level to high future adoption level are computer aided manufacturing, automated systems used for inspection/testing, benchmarking, and just-in-time inventory control. In terms of investment, five technologies that are likely to be heavily invested are computer aided design, computer aided manufacturing, MRP/ERP, Plant certification, and local area networks. Our statistical test results also reinforce the expectation that larger companies under various conditions are more likely to adopt AMT in future than smaller companies. We find that the most frequently used methods of AMT adoption in India are by Purchasing Equipment and by Customizing Existing Technology in house rather than by licensing new technology from outside. Out of the 19 success factors for AMT adoption surveyed, on a seven point scale from 1 to 7, the most important top three in India are Management Commitment and Support (score: 6.32), Top-down Planning and Bottom-up Implementation (score: 6.04), and Active Participation by In-house Engineers (score: 6.04). Reflecting the considerable differences in the two economies, there is significant divergence in these factors from the Singapore study. On the same scale, Improved Worker Safety is the most important AMT adoption benefit with a mean score 6.04, followed by Product Quality (5.92), Product Flexibility (5.92), and Set-up Time (5.92, note same scores) among the seventeen benefits surveyed. Most of the benefits are weighted roughly the same in the Canadian survey except differences in the Profitability, Equipment Utilization and Set-Up Time Reduction benefits. The survey also shows that variables related to the lack of financial justification is the largest obstacle to AMT adoption, followed by lack of technical support; the result being quite parallel to the survey of AMT obstacles in Canadian firms. Further, classifying 25 AMT into three levels (simple — Level I, moderate — Level II, sophisticated — Level III), by statistical analysis, we can conclude that Indian firms we surveyed have high adoption degree of Level I technologies, are going to adopt more Level II technologies in the future, and do not yet seem poised to invest in Level III technologies. This classification should be useful for a briefer, more easily communicable explanation for managerial personnel regarding the status of various adoption levels of the 25 major advanced manufacturing technologies presented here.


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