Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology

2020 ◽  
pp. 155-174
Author(s):  
Klaus Strohmenger ◽  
Christian Herta ◽  
Oliver Fischer ◽  
Jonas Annuscheit ◽  
Peter Hufnagl
Keyword(s):  
Higher Education ◽  
Machine Learning ◽  
Digital Pathology ◽  
Teaching Material ◽  
Higher Education Teaching

Introduction

2018 ◽  
Author(s):  
Jane Kotzmann
Keyword(s):  
Higher Education ◽  
Teaching And Learning ◽  
Historical Perspectives ◽  
Law And Policy ◽  
Political Events ◽  
Educational Disadvantage ◽  
The World ◽  
Higher Education Teaching

The Introduction highlights the importance of higher education and the existence of educational disadvantage in society, contextualised within current political events and discussions. It describes the intrinsic importance of education in allowing people to learn about themselves and the world they live in. It details the significant instrumental importance of education in the likelihood people will obtain employment and command higher incomes. It also provides a brief outline of different historical perspectives in relation to how best to provide higher education teaching and learning. The importance of law and policy for higher education is discussed, and the purpose and limitations of the research identified.

scholarly journals Multi-Class Assessment Based on Random Forests

2021 ◽  
Vol 11 (3) ◽  
pp. 92
Author(s):  
Mehdi Berriri ◽  
Sofiane Djema ◽  
Gaëtan Rey ◽  
Christel Dartigues-Pallez
Keyword(s):  
Higher Education ◽  
Machine Learning ◽  
Random Forests ◽  
Learning Algorithm ◽  
Teaching Staff ◽  
Machine Learning Algorithm ◽  
Process Data ◽  
Training Courses ◽  
Education Courses

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses adapted to students by anticipating their possible difficulties. This is possible thanks to a machine learning algorithm called Random Forest, allowing for the classification of the students depending on their results. We had to process data, generate models using our algorithm, and cross the results obtained to have a better final prediction. We tested our method on different use cases, from two classes to five classes. These sets of classes represent the different intervals with an average ranging from 0 to 20. Thus, an accuracy of 75% was achieved with a set of five classes and up to 85% for sets of two and three classes.

scholarly journals Contextually responsive and knowledge-focused teaching: disrupting the notion of ‘best practices’

2021 ◽  
Vol 9 (SI) ◽  
Author(s):  
Ceclia Jacobs ◽  
Keyword(s):  
Higher Education ◽  
Staff Development ◽  
Best Practices ◽  
Teaching And Learning ◽  
Academic Staff ◽  
Knowledge Bases ◽  
Good Teaching ◽  
Approach To Teaching ◽  
Conceptual Paper ◽  
Higher Education Teaching

The notion that universal ‘best practices’ underpin higher education teaching is problematic. Although there is general agreement in the literature that good teaching is not decontextualised but rather that it is responsive to the context in which it occurs, generic views of teaching and learning continue to inform practices at universities in South Africa. This conceptual paper considers why a decontextualised approach to higher education teaching prevails and interrogates factors influencing this view, such as: the knowledge bases informing this approach to teaching, the factors from within the higher education sector that shape this approach to teaching, as well as the practices and Discourses prevalent in the field of academic development. The paper argues that teaching needs to be both contextually responsive and knowledge- focused. Disrupting ‘best practices’ approaches require new ways of undertaking academic staff development, which are incumbent on the understandings that academic developers bring to the enterprise.

scholarly journals Use of Augmented Reality to Create an iOS App with Watson Studio

2021 ◽  
Vol 4 ◽  
pp. 98-100
Author(s):  
Semen Gorokhovskyi ◽  
Yelyzaveta Pyrohova
Keyword(s):  
Higher Education ◽  
Machine Learning ◽  
Augmented Reality ◽  
New Technologies ◽  
Higher Education Institutions ◽  
Rapid Development ◽  
Easy Access ◽  
Smart Devices ◽  
The Real ◽  
The World

With the rapid development of applications for mobile platforms, developers from around the world already understand the need to impress with new technologies and the creation of such applications, with which the consumer will plunge into the world of virtual or augmented reality. Some of the world’s most popular mobile operating systems, Android and iOS, already have some well-known tools to make it easier to work with the machine learning industry and augmented reality technology. However, it cannot be said that their use has already reached its peak, as these technologies are at the stage of active study and development. Every year the demand for mobile application developers increases, and therefore more questions arise as to how and from which side it is better to approach immersion in augmented reality and machine learning. From a tourist point of view, there are already many applications that, with the help of these technologies, will provide more information simply by pointing the camera at a specific object.Augmented Reality (AR) is a technology that allows you to see the real environment right in front of us with a digital complement superimposed on it. Thanks to Ivan Sutherland’s first display, created in 1968 under the name «Sword of Damocles», paved the way for the development of AR, which is still used today.Augmented reality can be divided into two forms: based on location and based on vision. Location-based reality provides a digital picture to the user when moving through a physical area thanks to a GPS-enabled device. With a story or information, you can learn more details about a particular location. If you use AR based on vision, certain user actions will only be performed when the camera is aimed at the target object.Thanks to advances in technology that are happening every day, easy access to smart devices can be seen as the main engine of AR technology. As the smartphone market continues to grow, consumers have the opportunity to use their devices to interact with all types of digital information. The experience of using a smartphone to combine the real and digital world is becoming more common. The success of AR applications in the last decade has been due to the proliferation and use of smartphones that have the capabilities needed to work with the application itself. If companies want to remain competitive in their field, it is advisable to consider work that will be related to AR.However, analyzing the market, one can see that there are no such applications for future entrants to higher education institutions. This means that anyone can bring a camera to the university building and learn important information. The UniApp application based on the existing Swift and Watson Studio technologies was developed to simplify obtaining information on higher education institutions.

scholarly journals Needs Analysis of Agricultural English Teaching in an Indonesian Islamic Higher Education Context

Tamaddun ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 106-114
Author(s):  
Muhammad Yunus ◽  
Sitti Halijah
Keyword(s):  
Higher Education ◽  
Research And Development ◽  
Needs Analysis ◽  
Teaching Material ◽  
Teaching Materials ◽  
Student Responses ◽  
Academic Field ◽  
English Teaching ◽  
Is Research ◽  
Learning English

The research is the development of Agricultural English teaching materials at Universitas Muslim Indonesia. The purposes of this research are to (1) produce a type of Agricultural English teaching material suitable to be used by the students of Faculty of Agriculture UMI and to (2) discover why the students are learning English. The method used is research and development. The research site was at the Faculty of Agriculture UMI with the number of 50 respondents. The results showed that based on the student responses, 12 out of 42 topics occupy the highest percentage needed for Agricultural English teaching materials. Those 12 topics are as follows: rice, tomatoes, chili,  shallots, eggplant, papaya, rambutan, coconut, coffee, land, disease pest, and seeds. Then, the purposes of the students learning English can be categorized into two major groups, namely to anticipate competition in the workplace where the ability to communicate both oral and written is needed and to prepare themselves in the academic field both to complete S1 (undergraduate degree)  and to continue their studies S2 (master degree).

scholarly journals INTERDISCIPLINARITY AND GLOBAL COLLABORATION IN BIOMEDICAL ENGINEERING AND INFORMATICS TEACHING

2018 ◽  
Vol 4 (3) ◽  
pp. 486-508
Author(s):  
Bianca Vienni ◽  
Franco Simini
Keyword(s):  
Higher Education ◽  
Medical Informatics ◽  
Biomedical Engineering ◽  
New Technologies ◽  
Global Collaboration ◽  
Pedagogical Strategies ◽  
Teaching Activities ◽  
Higher Education Teaching

This paper takes the Núcleo of Ingeniería Biomédica (NIB) from the Universidad de la República (Uruguay) as an example of how interdisciplinarity and global collaboration can be achieved in Higher Education teaching activities with a focus on Biomedical Engineering and Medical Informatics. We have recorded and analyzed using a qualitative strategy its practices in different teaching formats to interpret the best pedagogical strategies in the combination of interdisciplinarity and distant collaboration when using new technologies of communication.   KEYWORDS: Biomedical Engineering; Interdisciplinarity; University; Uruguay.

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