Search results for "Adaptive learning"
showing 10 items of 20 documents
Motion analysis using the novelty filter
1991
Abstract An original approach to the motion analysis, based on the novelty filter, is proposed. The novelty filter stresses the novelties occurring in a pattern representing an image of the scene under consideration with respect to patterns representing previous images of the same scene, so that visual information about the motion of the objects is obtained. The novelty filter may be implemented by a neural network architecture, taking advantage of the capabilities of massive parallelism, adaptive learning and noise robustness. The novelty filter may learn the entire trajectory of an object, through an incremental learning of a sequence of images capturing the scene, thus emphasizing if the…
Learning can be detrimental for a parasitic wasp
2021
Animals have evolved the capacity to learn, and the conventional view is that learning allows individuals to improve foraging decisions. The parasitoid Telenomus podisi has been shown to parasitize eggs of the exotic stink bug Halyomorpha halys at the same rate as eggs of its coevolved host, Podisus maculiventris, but the parasitoid cannot complete its development in the exotic species. We hypothesized that T. podisi learns to exploit cues from this non-coevolved species, thereby increasing unsuccessful parasitism rates. We conducted bioassays to compare the responses of naïve vs. experienced parasitoids on chemical footprints left by one of the two host species. Both naïve and experienced …
Adaptive Vocabulary Learning Environment for Late Talkers
2016
The main aim of this research is to provide children who have an early language delay with an adaptive way to train their vocabulary taking into account individuality of the learner. The suggested system is a mobile game-based learning environment which provides simple tasks where the learner chooses a picture that corresponds to a played back sound from multiple pictures presented on the screen. Our basic assumption is that the more similar the concepts (in our case, words) are, the harder the recognition task is. The system chooses the pictures to be presented on the screen by calculating the distances between the concepts in different dimensions. The distances are considered to consist o…
Multilingual information delivery based on a domain ontology
2014
As internationalisation becomes more and more intensive, organizations need to work with information in different languages in their work. Interlingua content delivery in e-learning courses could be effective learning content adaption method for delivering information for much wider audience. This paper suggests high-level framework for multilingual learning content delivery. This approach is based on a domain ontology, which allows to annotate and retrieve learning resources in a language independent way. Such method can improve accessibility, sharing and reuse of multilingual learning content.
Adaptive Learning Process for the Evolution of Ontology-Described Classification Model in Big Data Context
2016
International audience; One of the biggest challenges in Big Data is to exploit value from large volumes of variable and changing data. For this, one must focus on analyzing the data in these Big Data sources and classify the data items according to a domain model (e.g. an ontology). To automatically classify unstructured text documents according to an ontology, a hierarchical multi-label classification process called Semantic HMC was proposed. This process uses ontologies to describe the classification model. To prevent cold start and user overload, the classification process automatically learns the ontology-described classification model from a very large set of unstructured text documen…
AI-enabled adaptive learning systems: A systematic mapping of the literature
2021
Abstract Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability to deliver learning content and adapt to the individual needs of students. Yet, even though these contemporary learning systems are useful educational platforms that meet students’ needs, there is still a low number of implemented systems designed to address the concerns and problems faced by many students. Based on this perspective, a systematic mapping of the literature on AI-enabled adaptive le…
On personalized adaptation of learning environments
2017
This work is devoted to the development of personalized training systems. A major problem in learning environments is applying the same approach to all students: i.e., teaching materials, time for their mastering, and a training program that is designed in the same way for everyone. Although, each student is individual, has his own skills, ability to assimilate the material, his preferences and other. Recently, recommendation systems, of which the system of personalized learning is a part, have become widespread in the learning environments. On the one hand, this shift is due to mathematical approaches, such as machine learning and data mining, that are used in such systems while, on the ot…
On developing adaptive vocabulary learning game for children with an early language delay
2018
Vocabulary replenishment is an ordinary child development process. Deviations in this process can significantly affect the further progress and perception of the educational material in the school. A hypothesis was proposed that the similarity of words on various factors can influence the child's understanding. To test this hypothesis in this work, we propose the development of AdapTalk game for children. This game is concentrated on learning words, in the context of animals. The game will create the basis for further testing the influence of the semantic similarity of words for the child. This work describes the development background, the basic principles of calculating the semantic simil…
Students’ multiple state goals as a function of appraisals, trait goals, and their interactions
2017
Abstract Although many motivational theories have emphasized that person- and situation-based aspects should be recognized simultaneously when explaining actual learning behavior, not much is known about the occurrence of state goals. The model of adaptive learning (Boekaerts & Niemivierta, 2000) proposes that state goals are influenced by trait goals, perceptions of the situation (i.e., appraisals), and interactions between trait goals and appraisals. Nevertheless, empirical evidence for this model is scarce. The present study aimed to overcome this research deficit by integrating trait goals and appraisals as well as their interactions in explaining state goals in authentic learning episo…
Players' progression through GraphoGame, an early literacy game: Influence of game design and context of play
2019
Researchers of serious games frequently investigate outcomes of play but overlook the underlying game-design components that drive those outcomes. In this paper, I aim to show how game design and context of play influence progression through GraphoGame, an early-literacy game. This is done by means of two intersecting studies. The first study shows how the game can be represented by a model that explicitly hypothesizes how the interaction between the player and the game drives progression. The second study explores user data generated by first graders (N = 137) who played the game over a period of 25 weeks as part of early literacy instruction. The juxtaposition of these two studies reveals…