scholarly journals Development of educational system for paramedics specializing to dementia elderlies analyzed by artificial intelligence and its learning effects

2021 ◽  
Vol 17 (S8) ◽  
Author(s):  
Miwako Honda ◽  
Saki Une ◽  
Yves Gineste ◽  
Atsushi Nakazawa
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Learning Effects

Creating a Personalized Artificial Intelligence Course

2012 ◽  
pp. 31-48
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

Artificial Intelligence Assisted Learning (AIAL) Blueprint

2020 ◽  
pp. 317-338
Author(s):  
Alexiei Dingli ◽  
Lara Caruana Montalto
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Assembly Line ◽  
Industrial Revolution ◽  
Quality Of Teaching ◽  
The Moment ◽  
The Individual ◽  
Case Basis

Education is facing various challenges at the moment and needs to be reinvented. Some of the methods used have been inspired by the industrial revolution when an assembly line one-size-fits-all approach was setup in schools. Today, teachers are struggling to manage the number of students in a class thus making the quality of teaching inconsistent. Furthermore, they have to deal with students having different abilities in the same class which makes it impossible to give each and every student the individual attention they deserve. Through the artificial intelligence assisted learning (AIAL) system, the authors believe that they can personalise the learning and thus free a lot of time for the teacher which can be used to focus on those students that are really in need. This will be done on a case by case basis, thus creating a fairer educational system which is personalized for the needs of each and every student which guarantees equity.

Creating a Personalized Artificial Intelligence Course

2013 ◽  
pp. 262-278
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

Artificial intelligence: a new educational challenge

2021 ◽  
Vol 605 (10) ◽  
pp. 28-40
Author(s):  
Sergo Kuruliszwili
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Rapid Development ◽  
Educational Context ◽  
Educational Content ◽  
It Impacts ◽  
Educational Challenge

Rapid development of Artificial Intelligence is influencing most of the human’s domains. It impacts our reality in quantitative and qualitative way. This situation is challenging, also for the educational system – in many aspects. Analysis of this situation in the educational context is important and urgent matter. In the article author is attempting to explain and to structure the problem, pointing out, both chances and the threats, of the phenomenon, focusing on the area of educational content the measures.

Education for the Future

PMLA ◽  
2018 ◽  
Vol 133 (3) ◽  
pp. 700-706
Author(s):  
Karen Thornber
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Young Adults ◽  
Educational System ◽  
Harvard University ◽  
University President ◽  
Children And Young Adults ◽  
The University ◽  
New Education ◽  
Radical Transformation

Cathy N. Davidson's the new education: how to revolutionize the university to prepare students for a world in flux joins a rapidly growing genre that calls on society and its leaders to revolutionize education at all levels to prepare children and young adults for a fast-changing world. his genre includes the former Harvard University president Derek Bok's The Struggle to Reform Our Colleges (2017) and the Northeastern University president Joseph E. Aoun's Robot-Proof: Higher Education in the Age of Artificial Intelligence (2017). But whereas Bok focuses on why so little has changed in education despite the pressing need for radical transformation and Aoun introduces the new discipline of “humanics” as a means for higher education to prepare students for an era when professions are rapidly disappearing, Davidson highlights the widening gap between a rapidly changing society and an educational system that has not kept pace. Davidson supports her theoretical arguments with case studies of programs from institutions that are paving the way for a new education.

scholarly journals Hearing Artificial Intelligence: Sonification Guidelines & Results From a Case-study in Melanoma Diagnosis

2019 ◽  
Author(s):  
R. Michael Winters ◽  
Ankur Kalra ◽  
Bruce N. Walker
Keyword(s):  
Artificial Intelligence ◽  
Data Driven ◽  
Learning Effects ◽  
General Technique ◽  
Melanoma Diagnosis ◽  
The Mean ◽  
Sensitivity Specificity ◽  
Improved Accuracy ◽  
Full Classification

The applications of artificial intelligence are becoming more and more prevalent in everyday life. Although many AI systems can operate autonomously, their goal is often assisting humans. Knowledge from the AI system must somehow be perceptualized. Towards this goal, we present a case-study in the application of data-driven non-speech audio for melanoma diagnosis. A physician photographs a suspicious skin lesion, triggering a sonification of the system’s penultimate classification layer. We iterated on sonification strategies and coalesced around designs representing three general approaches. We tested each in a group of novice listeners (n=7) for mean sensitivity, specificity, and learning effects. The mean accuracy was greatest for a simple model, but a trained dermatologist preferred a perceptually compressed model of the full classification layer. We discovered that training the AI on sonifications from this model improved accuracy further. We argue for perceptual compression as a general technique and for a comprehensible number of simultaneous streams.

Artificial Intellectualization in the Management of the Training Process for Enterprise Workers

2019 ◽  
Vol 7 (6) ◽  
pp. 41-44 ◽  
Author(s):  
Elena Shirinkina
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Learning Process ◽  
Education System ◽  
Environmental Changes ◽  
Personalized Learning ◽  
Digital Tools ◽  
Training Process ◽  
Modern Education ◽  
Learning Paths

The relevance of the study is due to the fact that building an adaptive educational system that responds to environmental changes and creating the conditions for implementing individual (personalized) learning paths becomes a key challenge for modern education. The article analyzes the use of artificial intelligence in the training of employees of the enterprise, presents the benefits and experience of implementation in enterprises. It was determined that training with the help of artificial intellectualization is a deeper transformation of the entire learning process, the use of new digital tools to rethink how to teach in order to be modern. The principles developed within the framework of the proposed approach are the direction of changes in the education system.

Development of assessment indicators for measuring the student learning effects of artificial intelligence‐based robot design

2019 ◽  
Vol 27 (4) ◽  
pp. 863-868 ◽  
Author(s):  
Wen‐Jye Shyr ◽  
Fu‐Chun Yang ◽  
Po‐Wen Liu ◽  
Ying‐Ming Hsieh ◽  
Ci‐Syong You ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Student Learning ◽  
Robot Design ◽  
Learning Effects

Creating a Personalized Artificial Intelligence Course

2011 ◽  
Vol 2 (1) ◽  
pp. 31-47 ◽  
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

scholarly journals Using Artificial Intelligence for the Construction of University Physical Training and Teaching Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Liang Li ◽  
Lu Zhang ◽  
Su Zhang
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Physical Training ◽  
Teaching Quality ◽  
Educational Systems ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Theoretical Application ◽  
And Training ◽  
Training Efficiency

The combination of education and artificial intelligence is the developmental direction of future educational systems. Through the participation of artificial intelligence, an educational system with sensibility and computer rationality can be created. Albeit the advantages and importance of this education system are beyond doubt, nevertheless, at present, the combination of artificial intelligence and education is still in its infancy. This is because the theoretical application, equipment research, and development are neither perfect nor up to the required standard. The research points out the reality that artificial intelligence technology has been widely used in sports and analyzes the specific application of artificial intelligence in sports. In this paper, the knowledge of artificial intelligence is combined with the physical training and teaching in colleges and universities, and an educational system is developed to guide teachers' and students’ training, which improves the teaching quality and training efficiency.

Sign in / Sign up

Export Citation Format

Share Document