Application of a set of learning curve models to repetitive tasks

1983 ◽  
Vol 53 (1) ◽  
pp. 25 ◽  
Author(s):  
E.A. Hackett
Author(s):  
Nicholas Patterson ◽  
Dhananjay Thiruvady ◽  
Guy Wood-Bradley

This chapter explores the impact that artificial intelligence will make in the education sector and how it will transform the way in which both educators and students interact in the classrooms of the future. The chapter begins with an introduction into the digital education space as well as where artificial intelligence currently sits. When it comes to the transformation of education, the authors explore the educator and student perspectives to ensure both sides requirements are portrayed. Both stakeholders have an equally large learning curve and require more digital literacy than in the past; however, the transformation that artificial intelligence will bring to the table is that educators and students will likely not be trapped with repetitive tasks and can focus on being creative, learning, and teaching. The three elements they explore in this chapter will give insight into work previously completed, research being conducted, and future insights and observations.


2020 ◽  
Vol 17 (2) ◽  
pp. 386-397
Author(s):  
Bruno Coimbra de Oliveira ◽  
Jederson Donizete Zuchi

Modal editing is a, nowadays rare, concept that offers multiple interaction modes which are optimized for specific types of actions and interactions within a text editor. This study aimed to provide insight on the pros and cons of using a nowadays considered “outdated” piece of software called Vim for daily usage, and how its rationale helps its users to realize their objectives in an efficient and powerful manner. Furthermore, a test case with several subjects was put into place to gauge exactly how Vim compares to a standard editor on a particular scenario with timed comparison, following up on an analysis that was made based on the results of that experiment. Ultimately, it was concluded that, even for an old-fashioned tool, when certain criteria were met, Vim still posed as a strong contender for automating repetitive tasks, performing considerably faster than its adversaries. This experiment also served as a motive to demonstrate what might be gained from a tool with such a difficult learning curve.


2007 ◽  
Vol 177 (4S) ◽  
pp. 526-527 ◽  
Author(s):  
Michael Esposito ◽  
George Dakwar ◽  
Mutahar Ahmed ◽  
Vincent Lanteri
Keyword(s):  

2006 ◽  
Vol 175 (4S) ◽  
pp. 348-348
Author(s):  
Edward M. Gong ◽  
Albert A. Mikhail ◽  
Alvaro Lucioni ◽  
Marcelo A. Orvieto ◽  
Arieh L. Shalhav ◽  
...  

2004 ◽  
Vol 171 (4S) ◽  
pp. 50-51
Author(s):  
Elan W. Salzhauer ◽  
Mark Horowitz

2014 ◽  
Vol 75 (S 01) ◽  
Author(s):  
Amjad Anaizi ◽  
Christopher Taylor ◽  
Jennifer Kosty ◽  
Lee Zimmer ◽  
Philip Theodosopoulos

Sign in / Sign up

Export Citation Format

Share Document