scholarly journals Spreading digital literacy via Minimal English. The concept of ‘class’ in Swift programming language

2021 ◽  
Vol 7 ◽  
pp. 5-18
Author(s):  
Bartłomiej Biegajło
Keyword(s):  
Learning Curve ◽  
Detailed Analysis ◽  
Programming Language ◽  
Digital Literacy ◽  
Initial Exposure ◽  
Related Feature

The article aims at providing explications of the concept of a class, as it is implemented in the Swift programming language offered by Apple. The explications are framed in Minimal English, which is based on the theory of Natural Semantic Metalanguage. Detailed analysis of the Swift concept of class leads to four distinct core explications of the programming construct in question and the related feature that Swift classes possess, namely the concept of property. The article’s primary purpose is to offer a more smooth experience with programming, especially with beginners in mind. Their initial exposure to programming might face several challenges due to the complicated digital jargon of the documentation. Minimal English is implemented to ease the learning curve and promote digital literacy as one of the most fundamental skills in today’s world.

Research on the Three-Dimensional Displaying of STL ASCII and Binary File

2014 ◽  
Vol 940 ◽  
pp. 433-436 ◽  
Author(s):  
Ying Zhang ◽  
Xin Shi
Keyword(s):  
Detailed Analysis ◽  
Programming Language ◽  
Coordinate Transformation ◽  
Graphical Representation ◽  
Three Dimensional ◽  
File Format ◽  
Binary File ◽  
Stl File ◽  
File Formats ◽  
Three Dimensional Display

Based on the detailed analysis of the STL file format, VC++ 6.0 programming language was used to extract the STL ASCII and binary file information, at the same time, using the OpenGL triangle drawing technology for graphical representation of the STL file, with rendering functions such as material, coordinate transformation, lighting, et al, finally realizing the loading and three-dimensional display of STL ASCII and binary file formats.

Artificial Intelligence and the Transformation of Digital Education

2021 ◽  
pp. 24-41
Author(s):  
Nicholas Patterson ◽  
Dhananjay Thiruvady ◽  
Guy Wood-Bradley
Keyword(s):  
Artificial Intelligence ◽  
Learning Curve ◽  
Digital Literacy ◽  
Student Perspectives ◽  
Learning And Teaching ◽  
Digital Education ◽  
The Past ◽  
Repetitive Tasks ◽  
The Impact ◽  
Insight Into

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.

Detailed Analysis of Learning Curve in Pancreatic Surgery – Surgeon and Hospital Volume Are Equally Important

2011 ◽  
Vol 140 (5) ◽  
pp. S-1039
Author(s):  
Ulrich F. Wellner ◽  
Frank Makowiec ◽  
Ulrich T. Hopt ◽  
Tobias Keck
Keyword(s):  
Learning Curve ◽  
Detailed Analysis ◽  
Pancreatic Surgery ◽  
Hospital Volume

scholarly journals Strangers in Digiland

2017 ◽  
Vol 4 (1) ◽  
pp. 109-115
Author(s):  
Rozália Klára Bakó ◽  
Gyöngyvér Erika Tőkés
Keyword(s):  
Young Children ◽  
Learning Curve ◽  
Digital Literacy ◽  
Digital Competence ◽  
Research Project ◽  
Steep Learning Curve ◽  
Ways Of Coping ◽  
The Everyday ◽  
Insight Into

AbstractWith the growing importance of digital practices in young children’s everyday routines, parents and educators often face frustration and confusion. They find it difficult to guide children when it comes to playing and learning online. This research note proposes an insight into parents’ and educators’ concerns related to children’s and their own digital literacy, based on two exploratory qualitative inquiries carried out from March 2015 to August 2017 among 30 children aged 4 to 8 from Romania, their parents and educators. The research projectDigital and Multimodal Practices of Young Children from Romania(2015–2016) and its continuationThe Role of Digital Competence in the Everyday Lives of Children Aged 4–8(2017–2018, ongoing) are part of a broader effort within the Europe-wide COST network IS1410 –The Digital and Multimodal Practices of Young Children(2014–2018). Parents and educators are disconnected from young children’s universe, our research has found. The factors enabling adults’ access to “Digiland” and ways of coping with the steep learning curve of digital literacy are explored through parents’ and teachers’ narratives, guided observation of children’s digital practices, and expert testimonies.

A detailed analysis of the learning curve: Robotic hysterectomy and pelvic-aortic lymphadenectomy for endometrial cancer

2009 ◽  
Vol 114 (2) ◽  
pp. 162-167 ◽  
Author(s):  
Leigh G. Seamon ◽  
Jeffrey M. Fowler ◽  
Debra L. Richardson ◽  
Matthew J. Carlson ◽  
Sue Valmadre ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Learning Curve ◽  
Detailed Analysis ◽  
Robotic Hysterectomy

scholarly journals THE LEARNING CURVE: AN APPLICATION IN TURKISH MANUFACTURING INDUSTRY

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gürkan Çalmaşur ◽  
Hüseyin Daştan ◽  
Zeynep Karaca
Keyword(s):  
Learning Curve ◽  
Detailed Analysis ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Learning Model ◽  
Learning Curves ◽  
Manufacturing Industries ◽  
Intermediate Goods ◽  
Manual Labor

The learning curves have traditionally been used for manufacturing industries. Manufacturing industry is the branch of industry in which raw materials are processed by machine or manual labor and converted into intermediate goods. The main aim of this article is to make a detailed analysis the learning curves in the Turkish manufacturing industry for 2003-2017 period. In order to satisfy this aim, the cubic learning model has been estimated and calculated the progress ratio values for 24 Turkish manufacturing industries from 2003 to 2017. As a result, between 2003 and 2017, total Turkish manufacturing industry has a convex learning curve.

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