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.

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

AI Magazine ◽  
2012 ◽  
Vol 34 (1) ◽  
pp. 10 ◽  
Author(s):  
Steve Kelling ◽  
Jeff Gerbracht ◽  
Daniel Fink ◽  
Carl Lagoze ◽  
Weng-Keen Wong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Feedback Loop ◽  
Human Computation ◽  
Computational Power ◽  
Learning Networks ◽  
Learning Network ◽  
Computer Learning ◽  
The Individual ◽  
Citizen Science Project

In this paper we describe eBird, a citizen-science project that takes advantage of the human observational capacity to identify birds to species, which is then used to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human computation and mechanical computation. We call this a Human-Computer Learning Network, whose core is an active learning feedback loop between humans and machines that dramatically improves the quality of both, and thereby continually improves the effectiveness of the network as a whole. In this paper we explore how Human-Computer Learning Networks can leverage the contributions of a broad recruitment of human observers and processes their contributed data with Artificial Intelligence algorithms leading to a computational power that far exceeds the sum of the individual parts.

scholarly journals Lecturers and E-lecturers in cross-border education in the context of the fourth industrial revolution

2020 ◽  
Vol 9 (1) ◽  
pp. 3-10
Author(s):  
Nguyen Duc Son
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Traditional Education ◽  
Cross Border ◽  
Quality Of Teaching ◽  
Learning Programs ◽  
E Learning ◽  
Education Culture ◽  
The Relationship

Nowadays, globalization has given birth to various forms of non-traditional education. These forms of education are transcending borders and traversing boundaries of space and time. The evolution of information technology in the context of Industry 4.0 has transformed education rapidly and, at the same time, resulted in new problems. This paper discusses the role, the importance and the relationship between lecturers (in universities) and e-lecturers (in the virtual reality environment) when implementing cross-border education. In addition, the article also mentions the changes of universities, lecturers, curriculums and teaching methods when deploying distance e-learning programs in Industry 4.0. The article uses conceptual model, diagrams and interdisciplinary methods such as education, culture, science and technology to investigate e-lecturers’ concept and provide solutions for improving the capacity of lecturers and the quality of teaching cross-border training programs in universities.

scholarly journals China’s AI experience: industrial digitalization

2020 ◽  
Vol 28 (3) ◽  
pp. 536-546
Author(s):  
Marina S. Reshetnikova
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Global Economy ◽  
The United States ◽  
High Tech ◽  
Global Innovation ◽  
Innovative Products ◽  
Fundamental Research ◽  
The Moment

The rapid acceleration of scientific and technological progress, which started at the beginning of the 21st century, has become a decisive factor in influencing the global economy. Who will lead the global innovation race? This problem is especially relevant in the field of artificial intelligence (AI). At the moment, the United States and China are the main participants in the battle for dominance in this area. The author assesses Chinas innovative potential in the field of AI and identifies its achievements in this area. Based on the statistics provided, Chinas AI leadership has reached a critical point. China is confidently leading the new fundamental research of artificial intelligence, forming its theoretical base and applied research and development, which will contribute to the creation of new high-tech innovative products and services. However, in terms of the number and quality of AI specialists (AI Talents) and the number of companies engaged in AI, China is still lagging behind its main rival, namely the United States. The author proved that, despite the obvious successes of China, the United States still has an equal lead in the global innovation race.

scholarly journals Applying STEAM Teaching Method to Primary Schools to Improve the Quality of Teaching and Learning for Children

2021 ◽  
Vol 13 (2) ◽  
pp. 1051-1055
Author(s):  
Huynh Tan Hoi
Keyword(s):  
Human Resources ◽  
Primary Schools ◽  
Industrial Revolution ◽  
Teaching Method ◽  
Research Trend ◽  
Educational Model ◽  
Quality Of Teaching ◽  
Steam Education ◽  
The World

Unlike the traditional educational model with the way teachers lecture, students take notes making students feel boring and not very effective. STEAM education is a modern educational model that focuses on practice for students to discover and learn on their own. Therefore, it will inspire learning to students, sparking creativity and passion in children. Originating in the US, STEAM education has been interested in and researched for many years, in countries around the world. In the context of the industrial revolution 4.0, jobs and occupations in society related to STEAM education fields tend to increase. The overall goal of STEAM education is not only to create understanding of STEAM and the qualities of 21st century citizens, but also to develop human resources in STEAM fields such as science, technology, engineering and mathematics. Researching on STEAM education has been, and is being, interested by many educators, the research trend in this field will continue to be developed in the future not only in the world but also in the Vietnam. This article addresses the pros and cons of STEAM education, and was completed with support from survey results conducted at some International Primary School, Ho Chi Minh City. The article uses quantitative and qualitative methods of analysis as well as some results from previous studies, in order to clarify the issue of educating children to access scientific knowledge easily. The results show that we need to widely apply this method not only in primary schools but also in all primary schools in Vietnam in order to improve the quality of teaching, and to train human resources for 4.0 industries.

Approaching classical Japanese Haiku poetry through the perspective of ink painting art and application to teaching foreign literature for Literature Pedagogy students at Dong Thap University

2021 ◽  
Vol 5 (2) ◽  
pp. 41-49
Author(s):  
Lien Mai Thi Nguyen ◽  
Nhu Chan Minh Dieu Nguyen
Keyword(s):  
Current Trend ◽  
Japanese Literature ◽  
International Exchange ◽  
New Approach ◽  
Root Cause ◽  
Foreign Literature ◽  
Quality Of Teaching ◽  
Literature Pedagogy ◽  
The Moment

Exploring the culture and literature of countries around the world is increasingly important in the current trend of international exchange and integration. Therefore, foreign literature disciplines, including Japanese literature, occupies an increasingly essential position in the curriculum of Dong Thap University. However, the perception and teaching of Japanese Haiku poems have long been challenged due to language barriers as well as cultural differences. In order for enhancing the quality of teaching Haiku poetry to Literature Pedagogy majors at Dong Thap University, the article presents a new approach towards classical Haiku poetry through the perspective of ink painting art (aka painting art). With the aim of observing the beauty of Japanese literature and culture, the study analyzes the causes and some specific manifestations of the similarities between Japanese ink painting art and classical Haiku poetry in terms of artistic methods. The root cause lies in the influence of Zen, as a cultural characteristic of the Japanese spirit, and the specific manifestations include the technique of empty spaces in ink painting art, and the empty poetic strategy in classical Haiku poetry, the features of the conception scenery and the moment characteristic in both Oriental art genres.

Approaching Classical Japanese Haiku Poetry through the Perspective of Ink Painting Art and Application to Teaching Foreign Literature for Literature Pedagogy Students at Dong Thap University

2021 ◽  
Vol 5 (2) ◽  
pp. 52-60
Author(s):  
Lien Mai Thi Nguyen ◽  
Nhu Chan Minh Dieu Nguyen
Keyword(s):  
Current Trend ◽  
Japanese Literature ◽  
International Exchange ◽  
New Approach ◽  
Root Cause ◽  
Foreign Literature ◽  
Quality Of Teaching ◽  
Literature Pedagogy ◽  
The Moment

Exploring the culture and literature of countries around the world is increasingly important in the current trend of international exchange and integration. Therefore, foreign literature disciplines, including Japanese literature, occupies an increasingly essential position in the curriculum of Dong Thap University. However, the perception and teaching of Japanese Haiku poems have long been challenged due to language barriers as well as cultural differences. In order for enhancing the quality of teaching Haiku poetry to Literature Pedagogy majors at Dong Thap University, the article presents a new approach towards classical Haiku poetry through the perspective of ink painting art (aka painting art). With the aim of observing the beauty of Japanese literature and culture, the study analyzes the causes and some specific manifestations of the similarities between Japanese ink painting art and classical Haiku poetry in terms of artistic methods. The root cause lies in the influence of Zen, as a cultural characteristic of the Japanese spirit, and the specific manifestations include the technique of empty spaces in ink painting art, and the empty poetic strategy in classical Haiku poetry, the features of the conception scenery and the moment characteristic in both Oriental art genres.

Changing the Quality of Education in a University Using Digital Technologies and Artificial Intelligence in the Context of the COVID-19 Pandemic

2020 ◽  
Vol 19 (4) ◽  
pp. 137-144
Author(s):  
M.V. Vinichenko ◽  
◽  
S.A. Makushkin ◽  
N.V. Lyapunova ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Distance Learning ◽  
Personal Space ◽  
Quality Of Education ◽  
Quality Of Teaching ◽  
General Scientific ◽  
The University ◽  
The Impact ◽  
Depth Interviews

the purpose of the article was to identify the nature of the impact of the pandemic on the quality of education at a university using distance learning and artificial intelligence. The research methodology was based on a complex of general scientific and special methods. The data obtained during the survey and in-depth interviews were summarized and analyzed in a focus group. Stable connections and tendencies in the change in the quality of teaching at the university are revealed. Traps for students are attributed to stable connections: lack of a valid system of control over the authorship of completed works; the possibility of unauthorized use of various electronic sources when responding; coronavirus quarantine leads to the erasure of students’ boundaries between study and life, personal space and social environment; an increase in students’ desire to have high grades in subjects with a decrease in interest in learning. Trends: increased workload on teachers and supporting (technical) personnel; growing dissatisfaction with distance learning; reduction of responsibility on the part of students for mastering knowledge in the course of distance learning.

Die Qualität der Digitalen Fabrik messen*/Measuring the quality of the digital factory

2015 ◽  
Vol 105 (05) ◽  
pp. 334-337
Author(s):  
R. Arnold
Keyword(s):  
Automotive Industry ◽  
Industrial Revolution ◽  
Industrie 4.0 ◽  
Digital Factory ◽  
Fourth Industrial Revolution ◽  
Novel Approach ◽  
The Moment ◽  
Future Topics

Die Digitale Fabrik wird unter anderem zur Bewältigung von Herausforderungen der Automobilindustrie sowie als Grundlage zukünftiger Themenschwerpunkte – wie Industrie 4.0 – immer relevanter. Aktuell besteht kaum eine Möglichkeit, die Qualität dieser digitalen Hilfsmittel objektiv zu bewerten. Der Fachbeitrag stellt eine Methodik vor, mit deren Hilfe Optimierungspotential identifiziert und die Auswirkungen bei Änderungen bezüglich der Digitalen Fabrik abgeschätzt werden können.   To meet the challenges within automotive industry and provide a basis for future topics, such as the fourth industrial revolution, the digital factory is getting more relevant. At the moment, however, the quality of these digital means cannot be objectively assessed. Therefore, the following paper introduces a novel approach not only for identifying potential for optimization but also for estimating the impacts when modifying the elements of the digital factory.

Computational Statistics-Based Prediction Algorithms Using Machine Learning

2021 ◽  
pp. 64-80
Author(s):  
Venkat Narayana Rao T. ◽  
Manogna Thumukunta ◽  
Muralidhar Kurni ◽  
Saritha K.
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Predictive Models ◽  
Industrial Revolution ◽  
Computational Statistics ◽  
Market Risks ◽  
The World ◽  
Lasting Impression ◽  
Stock Values

Artificial intelligence and automation are believed by many to be the new age of industrial revolution. Machine learning is an artificial intelligence section that recognizes patterns from vast amounts of data and projects useful information. Prediction, as an application of machine learning, has been sought after by all kinds of industries. Predictive models with higher efficiencies have proven effective in reducing market risks, predicting natural disasters, indicating health risks, and predicting stock values. The quality of decision making through these algorithms has left a lasting impression on several businesses and is bound to alter how the world looks at analytics. This chapter includes an introduction to machine learning and prediction using machine learning. It also sheds light on its approach and its applications.

scholarly journals PERSEPSI GURU TERHADAP TANTANGAN DAN PELUANG PENDIDIKAN

2020 ◽  
Vol 4 (2a) ◽  
pp. 514-520
Author(s):  
Teni Husnul Khotimah ◽  
Natasya Siti Rokaibah ◽  
Suci Zahrotunnisa ◽  
Muhammad Wildan Firdaus ◽  
Rahimul Wiqi ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Technological Development ◽  
Educational Opportunities ◽  
Questionnaire Response ◽  
Physics Teachers ◽  
Educational Challenges ◽  
Challenges And Opportunities ◽  
The Individual

This study aims to determine the views of physics and non-physics teachers on the challenges and opportunities of education now and in the future, namely the entry of Indonesia in industry 4.0. Education is not a simple thing that we can ignore because basically education is the basis of the formation of a character. Countries are said to be developed if the quality of human resources possessed is high quality. In this study we used a participatory qualitative research method. The instrument used was a questionnaire response to the challenges and educational opportunities which amounted to 25 statements and was given to 10 educators in West Java. The results of this study indicate the profile of respondents' responses to educational challenges and opportunities is varied and the indicator profile of educational challenges and opportunities is at 70%. This study concludes that the level of educator response to the nature of education is quite low at 70%. The most dominant aspects of challenges and opportunities include the role of globalization and technological development. This study recommends that teachers improve the individual quality of each student and the placement of learning systems that are compatible with the education system in the era of the industrial revolution 4.0.

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