On the Intersection of Artificial Intelligence and Distance Education

2018 ◽  
pp. 1348-1360
Author(s):  
Utku Kose
Keyword(s):  
Artificial Intelligence ◽  
Distance Education ◽  
Computer Science ◽  
Real World ◽  
Intelligent Systems ◽  
Current Trends ◽  
Learning Technique ◽  
Technological Developments ◽  
E Learning ◽  
Oriented Research

In today's world, intelligent systems play an important role in improving humankind's life standards and providing effective solutions for real-world-based problems. In this sense, such intelligent systems are the research outputs of the Artificial Intelligence field in Computer Science. Today, in many fields intelligent systems are widely used to obtain effective and accurate results for the problems encountered. At this point, education is one of the most remarkable fields in which lots of Artificial Intelligence-oriented research works are performed. When we consider the education field in terms of the latest technological developments, we can also see that the e-learning technique and more generally distance education approach are highly associated with the applications of Artificial Intelligence. Therefore, in this chapter the author explores the trends within the interaction between Artificial Intelligence and Distance Education. The chapter is a brief report on current trends of applications of “intelligent distance education” solutions. It also provides a short focus on the future possibilities of the relation of Artificial Intelligence and Distance Education.

On the Intersection of Artificial Intelligence and Distance Education

2015 ◽  
pp. 1-11 ◽  
Author(s):  
Utku Kose
Keyword(s):  
Artificial Intelligence ◽  
Distance Education ◽  
Computer Science ◽  
Real World ◽  
Intelligent Systems ◽  
Current Trends ◽  
Learning Technique ◽  
Technological Developments ◽  
E Learning ◽  
Oriented Research

In today's world, intelligent systems play an important role in improving humankind's life standards and providing effective solutions for real-world-based problems. In this sense, such intelligent systems are the research outputs of the Artificial Intelligence field in Computer Science. Today, in many fields intelligent systems are widely used to obtain effective and accurate results for the problems encountered. At this point, education is one of the most remarkable fields in which lots of Artificial Intelligence-oriented research works are performed. When we consider the education field in terms of the latest technological developments, we can also see that the e-learning technique and more generally distance education approach are highly associated with the applications of Artificial Intelligence. Therefore, in this chapter the author explores the trends within the interaction between Artificial Intelligence and Distance Education. The chapter is a brief report on current trends of applications of “intelligent distance education” solutions. It also provides a short focus on the future possibilities of the relation of Artificial Intelligence and Distance Education.

Problems of Distance Education

2018 ◽  
Vol 7 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Rostislav Fojtík
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Computer Science ◽  
Full Time ◽  
Advantages And Disadvantages ◽  
E Learning ◽  
Educational Requirements

Abstract Distance learning and e-learning have significantly developed in recent years. It is also due to changing educational requirements, especially for adults. The article aims to show the advantages and disadvantages of distance learning. Examples of the 20-year use of the distance learning form of computer science describe the difficulties associated with the implementation and implementation of this form of teaching. The results of students in the full-time and distance form of teaching in the bachelor’s study of computer science are compared. Long-term findings show that distant students have significantly lower scores in the first years of study than full-time bachelor students. In the following years of study, the differences diminish, and students’ results are comparable. The article describes the possibilities of improving the quality of distance learning.

Research Methods to Study and Empower Crowd Workers

2021 ◽  
pp. 164-184
Author(s):  
Saiph Savage ◽  
Carlos Toxtli ◽  
Eber Betanzos-Torres
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Research Methods ◽  
Real World ◽  
Intelligent Systems ◽  
Quantitative Information ◽  
Learning Models ◽  
Professional Goals ◽  
Career Growth ◽  
Machine Learning Models

The artificial intelligence (AI) industry has created new jobs that are essential to the real world deployment of intelligent systems. Part of the job focuses on labelling data for machine learning models or having workers complete tasks that AI alone cannot do. These workers are usually known as ‘crowd workers’—they are part of a large distributed crowd that is jointly (but separately) working on the tasks although they are often invisible to end-users, leading to workers often being paid below minimum wage and having limited career growth. In this chapter, we draw upon the field of human–computer interaction to provide research methods for studying and empowering crowd workers. We present our Computational Worker Leagues which enable workers to work towards their desired professional goals and also supply quantitative information about crowdsourcing markets. This chapter demonstrates the benefits of this approach and highlights important factors to consider when researching the experiences of crowd workers.

scholarly journals What is happening to laboratory medicine in Denmark?

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Per E. Jørgensen
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Digital Health ◽  
Laboratory Medicine ◽  
Positive Development ◽  
Scandinavian Country ◽  
Health Records ◽  
Current Trends ◽  
Technological Developments ◽  
Almost All

Abstract A number of current trends will affect and probably change laboratory medicine, as we know it. Scientific and technological developments, digital health with big data and artificial intelligence, and centralization will change the interfaces among the specialties of laboratory medicine. They might even challenge the identity of some specialties. Other trends such as demographic changes, increased complexity of health care, digital health with electronic health records, and more demanding and well-informed patients will change the way laboratory medicine specialties deliver their services. This paper discusses the possible changes of laboratory medicine in Denmark – a Scandinavian country where almost all hospitals are public. If Danish laboratories grasp the new possibilities instead of trying to avoid them, laboratory medicine is likely to prosper. Such a positive development will call upon good leadership and a genuine willingness among laboratory specialist to adapt to a future where their own specialty might be very different from today.

scholarly journals Prospects for the use of artificial intelligence systems in gastroenterology

2020 ◽  
pp. 109-117
Author(s):  
B. A. Kobrinskii ◽  
A. I. Khavkin ◽  
G. V. Volynets
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Intelligent Systems ◽  
Clinical Medicine ◽  
Correct Diagnosis ◽  
Huge Number ◽  
Powerful System ◽  
Difficult Cases ◽  
Artificial Intelligence Systems

The lecture is devoted to a new direction in clinical medicine — the possibility of using artificial intelligence — the field of computer science, which is engaged in modeling the method of acquiring and using knowledge specific to humans. The basis for a correct diagnosis is a combination of experience, the ability to think and act non-standard in difficult cases. A powerful system of generalization and classification, implemented in intelligent systems, allows you to reduce a huge number of possible situations to a small number of typical situations by which decisions or hypotheses are formed.

scholarly journals Need of Computational Intelligence for Post Graduate Students as an Academic Learning

2020 ◽  
Vol 9 (2) ◽  
pp. 6-11
Author(s):  
Ayesha Saleem ◽  
Usman Saleem ◽  
Somia Ali ◽  
Misbah Amin
Keyword(s):  
Artificial Intelligence ◽  
Real World ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Complete Information ◽  
Academic Learning ◽  
Main Concern ◽  
Master's Degrees ◽  
Proper Definition ◽  
Definition Of

The proper definition of intelligence is not widely known and describable within some selected words till now. There is a great controversy on its definition because generally people have not enough knowledge about it. Computational Intelligence is a subset of Artificial Intelligence and based on particular six approaches. These are Fuzzy Logics, Probabilistic Mechanisms, Natural Swarm Intelligence, Neural Networks and Evolutionary Computing. Traditional artificial intelligence use to develop intelligent systems that require proper and comprehensive information about some task to perform. But numerous real-world systems cannot provide exact and complete information about real-world phenomena. On the other hand, the main concern of Computational intelligence is to design intelligent systems that can be able to make decisions on uncertain or ambiguous information and now this becomes basic future system’s need. Both subjects AI and CI have their own importance, but we can analyze that as future needs more intelligent systems, so it required more work, research, understandings and knowledge for computational intelligence. We conduct a survey and meet results that even students of master’s degrees not even know about the term “computational intelligence”. Therefore, this paper proposed that computational intelligence should be an integral subject of courses as enhancement of artificial intelligence related to at least engineering and computer related fields. It will provide knowledge to students and rise their interest for computational intelligence and encourage them to do work to build more intelligent systems that will be able to deal real word problems in future

scholarly journals 'Informees' as Informers? An Approach to Effective Informing

10.28945/2608 ◽  
2003 ◽  
Author(s):  
Iwona Miliszewska ◽  
Anne Venables
Keyword(s):  
Artificial Intelligence ◽  
Active Learning ◽  
Computer Science ◽  
Educational Research ◽  
Subject Matter ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Science Degree ◽  
The Subject ◽  
Selection Of

An Intelligent Systems subject is offered in the final year of the Computer Science degree. The subject includes a diverse selection of topics in artificial intelligence and intelligent agents. The paper reflects on an innovative approach to the implementation of this subject. The development of the approach drew on educational research and the Informing Science paradigm. The aims of the approach included enga g-ing students in active learning, integrating theory with practice, and presenting the subject matter in an effective way. An innovative aspect of the approach was participatory teaching, i.e. students acting as guest lecturers and workshop presenters. The paper presents evaluation results indicating that the aims of the approach were achieved to a large extent.

scholarly journals A new approach to identify dropout learners based on their performance-based behavior

2021 ◽  
Vol 27 (10) ◽  
pp. 1001-1025
Author(s):  
Rochdi Boudjehem ◽  
Yacine Lafifi
Keyword(s):  
Artificial Intelligence ◽  
Distance Learning ◽  
Learning Environments ◽  
Intelligent Systems ◽  
Dynamic Models ◽  
Distributed Artificial Intelligence ◽  
Struggling Learners ◽  
New Approach ◽  
Academic Tasks ◽  
E Learning

Distance learning environments are increasingly offering more comfort to both learners and teachers, allowing them to carry out their academic tasks remotely, especially in critical times where it is difficult, or even dangerous, to bring these actors together in one physical place. Nevertheless, These same environments are complaining about the massive dropout numbers among their learners. Therefore, designing new intelligent systems capable of reducing these numbers becomes imperative. This paper proposes a new approach capable of identifying and assisting endangered learners experiencing difficulties by monitoring and analyzing their behavior inside the e-learning environment. By building dynamic models to follow the learners’ current situation, the proposed approach could intervene autonomously to save learners identified as struggling. Relying on distributed artificial intelligence instead of humans to closely monitor learners within distance learning environments can be very effective when identifying struggling learners. Furthermore, targeting these learners with early enough and carefully designed interventions can reduce the number of dropouts.

scholarly journals Trends in distance education research: A content analysis of journals 2009-2013

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Aras Bozkurt ◽  
Ela Akgun-Ozbek ◽  
Sibel Yilmazel ◽  
Erdem Erdogdu ◽  
Hasan Ucar ◽  
...  
Keyword(s):  
Distance Education ◽  
Education Research ◽  
Content Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Descriptive Analysis ◽  
Research Areas ◽  
Current Trends ◽  
E Learning

<p>This study intends to explore the current trends in the field of distance education research during the period of 2009-2013. The trends were identified by an extensive review of seven peer reviewed scholarly journals: <em>The American Journal of Distance Education</em> (AJDE), <em>Distance Education</em> (DE), <em>The European Journal of Open, Distance and e-Learning</em> (EURODL), <em>The Journal of Distance Education</em> (JDE), <em>The Journal of Online Learning and Technology</em> (JOLT), <em>Open Learning: The Journal of Open, Distance and e-Learning</em> (OL) and <em>The International Review of Research in Open and Distributed Learning</em> (IRRODL). A total of 861 research articles was reviewed. Mainly content analysis was employed to be able to analyze the current research. Also, a social network analysis (SNA) was used to interpret the interrelationship between keywords indicated in these articles. Themes were developed and the content of the articles in the selected journals were coded according to categories derived from earlier studies. The results were interpreted using descriptive analysis (frequencies) and social network analysis. The reporting of the results were organized into the following categories: research areas, theoretical and conceptual frameworks, variables, methods, models, strategies, data collection and analysis methods, and the participants. The study also identified the most commonly used keywords, and the most frequently cited authors and studies in distance education. The findings obtained in this study may be useful in the exploration of potential research areas and identification of neglected areas in the field of distance education.  </p>

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

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