scholarly journals Serious Games in Adaptive Learning

2016 ◽  
Vol 2 (4) ◽  
pp. 418
Author(s):  
Aso M. Darwesh
Keyword(s):  
Adaptive Learning ◽  
Serious Games ◽  
New Technologies ◽  
Classical Method ◽  
Multiple Criteria ◽  
Learning System ◽  
Educational Institutions ◽  
Adaptive Mechanisms

Most of educational institutions follow classical method of teaching that means same curriculum for all learners in the same order. But new generations look for a system of learning that adapts to his/her personal capacity. Adaptive education or adaptive learning is such a solution which can organize the content of the learning system based on learner’s profile. This process is not simple, especially without using new technologies. Implementing adaptive learning in schools is very expensive. One of the digital techniques used in eLearning is by games. Games which are used for education more than entertainment are serious games. Games are the most famous and effective tools used in education because of the popularity of many kind of game devices and applications. In this paper we try to explain how serious games can be used in adaptive education. We also explore a new idea of using time in adaptive mechanisms. Adapting the content of learning based on multiple criteria not just learners' answers. Wrong answers does not always means inability to do things, or not understanding. Also, this may be due to lack of time or unfamiliarity with the device. This paper will also attempt to uncover the reasons for such delays and thus help us to better design an adaptive game.

Realization of Adaptive Learning Content Based on Learning Object and Domain Ontology

2010 ◽  
Vol 171-172 ◽  
pp. 527-530
Author(s):  
Xu Wei
Keyword(s):  
Information Technology ◽  
Adaptive Learning ◽  
New Technologies ◽  
Domain Ontology ◽  
Learning System ◽  
Learning Object ◽  
Modern Education ◽  
Learning Content ◽  
E Learning ◽  
Adaptive Content

With the evolution of information technology, E-learning has spread rapidly. Traditional E-learning has proved not fit requirement of modern education, new trend of developing the adaptive and customized E-learning system draws more and more attentions from researchers and practitioners. In this paper, we proposed an E-learning system which can provide adaptive content according to different situations of user. To achieve the adaptive E-learning system, two new technologies have been adopted by the system: learning object and domain ontology. Using these two technologies the system can provide intelligent learning content based on the user’s context, knowledge’s context. The paper also presents a scenario to demonstrate the step of production of adaptive learning content.

scholarly journals Orphan Children in the Educational Space of Russia (Following a Survey on Regional Guarantees of Educational Opportunities and Support for Orphans at all Levels of Education)

2016 ◽  
Vol 21 (1) ◽  
pp. 146-155 ◽  
Author(s):  
V.N. Oslon
Keyword(s):  
Adaptive Learning ◽  
Social Inclusion ◽  
Learning System ◽  
Educational Opportunities ◽  
Educational Institutions ◽  
Special Educational Needs ◽  
Government Officials ◽  
High Quality Education ◽  
The Social ◽  
Adaptive Learning System

The article analyzes the results of a survey on regional executive government officials in the education as well as teachers and heads of educational institutions of all levels about providing of high quality education guarantees for orphans in accordance with the “National Strategy for Action on Children in the 2012–2017”. Author used eco-dynamic approach, the concept of adaptive education, and the idea of social inclusion – exclusion as the methodological basis of the study. The survey shows that orphan children have special educational needs and require to an adaptive learning system throughout the length of educating. Providing the educational opportunities is associated with objective difficulties such as the lack of adaptive education system and untrained teachers as well as subjective problems (e.g. the social exclusion attitudes of persons responsible for teaching and facilitating the integration, as well as the psychological effects of early maternal deprivation and institutionalization of orphan children). The article describes measures respondents consider necessary for the successful integration of orphan children in a wide educational environment.

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari
Keyword(s):  
Learning Style ◽  
Recommender System ◽  
Adaptive Learning ◽  
Learning Objects ◽  
Research Field ◽  
Learning System ◽  
K Nearest Neighbors ◽  
E Learning ◽  
Hybrid Recommender System ◽  
Hybrid Recommender

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.

Indicators of metabolism and biochemical status of blood in horses of Yakut breed in winter and spring seasons

2020 ◽  
pp. 52-65
Author(s):  
U. Khompodoeva ◽  
R. Ivanov
Keyword(s):  
Classical Method ◽  
Live Weight ◽  
Weather Conditions ◽  
The Body ◽  
Metabolic Energy ◽  
Temperature Changes ◽  
Experimental Animals ◽  
Spring Period ◽  
Biochemical Status ◽  
Adaptive Mechanisms

The results of researches on the peculiarities of metabolism in the body of horses of Yakut breed in the winter and spring periods under the environments of Central Yakutia have been presented in the article. Physiological experiments on the digestibility of the main nutrients of the feed have been carried out in the winter (February) and spring (April) periods under the environments of the physiological yard in the Yakutsk Scientific and Research Institute of Agriculture named after M. G. Safronov with using the classical method. Five mares and five geldings of Yakut breed have been selected for researches. The average live weight of mares was 378–410 kg, geldings 394–403 kg. The experimental animals had average fatness. It has been found a higher intake of energy and the main nutrients of hay as a mono feed in winter compared to the spring period. At the same time pregnant mares in winter have been consumed 103,8±3,12 MJ of metabolic energy per head/day, which was 27,3 % significantly higher than in the spring period – 75,4±2,18 MJ (P ≥ 0,999). Geldings have been consumed in the experiment 67,70±2,85 MJ, which was by 43,7 % higher than in the spring period – 38,05 ± 4,40 MJ of metabolic energy per head/day (P ≥ 0,999). Experimental animals have been housed in stalls; there was no energy expenditure for movement, so the amount of energy consumed in winter indicates the production of heat in the animal’s body. Pregnant mares per 100 kg of live weight have consumed 31,5±4,11 MJ of metabolic energy or 33,3 % more than in the spring period – 21,0±1,98 MJ; geldings have consumed 27,69±1,12, which was 41,78 % significantly higher than in the spring – 16,12 ± 0,75 MJ (P ≥ 0,999). The high intake of metabolic energy into the body of Yakut horses in winter is explained by the manifestation of adaptive mechanisms that affect the effective metabolism for survival, adapted to frequent changes in weather conditions and sharp temperature changes. The established differences in the biochemical parameters of blood serum of horses of Yakut breed are associated with changes in the consumption and digestibility of basic nutrients and energy, depending on the ambient temperature.

Sign in / Sign up

Export Citation Format

Share Document