New Tools of Alternative Communication for Persons with Verbal Communication Disorders

Kryvonos, Iu. G.; Krak, Iurii; Barmak, Olexander; Bagriy, R. O.

doi:10.1007/s10559-016-9869-3

Cited by 11 publications

(4 citation statements)

References 6 publications

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“…Developed by the authors method for automated test tasks creation for educational materials based on previously obtained data, allows to automatically create sets of test tasks that differ in parameters (type of question, number of correct answers, the rule for which the test task is formed, terms used in the task, etc.) and can be used for traditional and adaptive testing of the level of knowledge acquisition, including with the help of existing learning environments and testing systems [17]. The method creates new test tasks using production rules [18] and does not require additional formalization of educational materials.…”

Section: Methodsmentioning

confidence: 99%

Method for Adaptive Semantic Testing of Educational Materials Level of Knowledge

Mazurets

Barmak

Krak

et al. 2021

Lecture Notes in Computational Intelligence and Decision Making

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The article considers the method that allows to calculate the estimation of knowledge level of educational materials by using indicators of semantic importance of key terms for adaptive selection of test tasks in testing. Each test task allows to purposefully check the level of knowledge of separate semantic units of educational materials -semantic terms (words, phrases). It is assumed that increasing the depth of learning of educational material semantic content has the effect of learning less semantically important units of educational materials. Semantic terms are related to the semantic structure of educational material in the form of rubricational system. Test tasks are related to fragments of educational material content, the knowledge level of which they test. In the process of testing, the level of knowledge of each of semantic structure elements of the educational material is consistently adaptively determined, and the final grade is calculated based on these results. As a result of adaptive selection of test tasks, their maximum possible diversity in the final set is reached, because following criteria are considered: test task has not been used yet, relevant fragment of educational content has not been checked, test tasks of corresponding type were used the least, the test task does not contain less important semantic units. The developed method of adaptive semantic testing of knowledge level of educational materials makes possible to use different algorithms for starting testing (regressive, progressive, medianic, etc.) and different algorithms for knowledge level estimation (average, absolute limit, etc.). Applied investigations of the effectiveness of the developed method in comparison with the traditional algorithm for selecting test tasks established, that testing speed increased an average of 20.53% faster test, and to determine the level of knowledge required the use of an average of 19.33% fewer test tasks.

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Section: Methodsmentioning

confidence: 99%

Method for Adaptive Semantic Testing of Educational Materials Level of Knowledge

Mazurets

Barmak

Krak

et al. 2021

Lecture Notes in Computational Intelligence and Decision Making

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“…identical research essences in terms of meaningful comparison, there is a need to establish the correspondence of the meaningful essences of the research subject areas. The need to develop the degree of entity alignment within subject areas is topical both in cybersecurity [27,28] and in other subject areas [7,14,20,21,26,37], including in machine learning methods [4-6, 19, 25]. Such an alignment is challenging due to the ambiguity of the interpretation and the existing objective circumstance, which consists of incomplete correspondence.…”

Section: інформаційні системиmentioning

confidence: 99%

Semantic alignment of ontologies meaningful categories with the generalization of descriptive structures

Manziuk

Barmak

Krak

et al. 2022

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The presented work addresses the issue of semantic alignment of ontology components with a generalized structured corpus. The field of research refers to the sphere of determining the features of trust in artificial intelligence. An alignment method is proposed at the level of semantic components of the general alignment system. The method is a component of a broader alignment system and compares entities at the level of meaningful correspondence. Moreover, only the alignment entities’ descriptive content is considered within the proposed technique. Descriptive contents can be represented by variously named id and semantic relations. The method defines a fundamental ontol- ogy and a specific alignment structure. Semantic correspondence in the form of information scope is formed from the alignment structure. In this way, an entity is formed on the side of the alignment structure, which would correspond in the best meaningful way to the entity from the ontology in terms of meaningful descriptiveness. Meaningful descriptiveness is the filling of information scope. Information scopes are formed as a final form of generalization and can consist of entities, a set of entities, and their partial union. In turn, entities are a generalization of properties that are located at a lower level of the hierarchy and, in turn, are a combination of descriptors. Descriptors are a fundamental element of generalization that represent principal content. Descriptors can define atomic content within a knowledge base and represent only a particular aspect of the content. Thus, the element of meaningfulness is not self-sufficient and can manifest as separate meaningfulness in the form of a property, as a minimal representation of the meaningfulness of an alignment. Descriptors can also supplement the content at the level of information frameworks, entities, and properties. The essence of the alignment in the form of information scope cannot be represented as a descriptor or their combination. It happens because the descriptive descriptor does not represent the content in the completed form of the correspondence unit. The minimum structure of representation of information scope is in the form of properties. This form of organization of establishing the correspondence of the semantic level of alignment allows you to structure and formalize the information content for areas with a complex form of semantic mapping. The hierarchical representation of the generalization not only allows simplifying the formalization of semantic alignment but also enables the formation of information entities with the possibility of discretization of content at the level of descriptors. In turn, descriptors can expand meaningfulness at an arbitrary level of the generalization hierarchy. This provides quantization of informational content and flexibility of the alignment system with discretization at the level of descriptors. The proposed method is used to formalize the semantic alignment of ontology entities and areas of structured representation of information.

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“…Como se observa en la Tabla I, Kinect, en sus dos versiones, se puede utilizar para identificar partes del cuerpo y Leap Motion se centra en los gestos de la mano. Leap Motion se ha utilizado, por ejemplo, para facilitar la comunicación de personas con trastornos de comunicación verbal [12]. En nuestro caso, y dado que se pretendía identificar que los usuarios levantasen los brazos se utilizó Kinect.…”

Section: A Interfaces De Usuario Naturalesunclassified

Developing and Evaluating a Game for the Assessment of Spatial Memory Using Auditory Stimuli

Valencia

Juan

López

et al. 2019

IEEE Latin Am. Trans.

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The combination of natural user interfaces and smart devices has become a new technological option to be exploited for the assessment of spatial memory. In this paper, we present an interactive game for assessing spatial memory using auditory stimuli. The distinct feature of our game is that it assesses the two types of information (i.e., acoustic and spatial) at the same time. We compared the performance of 100 children and 48 adults on the game with traditional neuropsychological tests. The performance on the game correlated with the performance on other traditional neuropsychological tests for the assessment of spatial short-term memory. Children and adults considered our game as easy to use, and all of them were satisfied with it. The results suggest that our game could be a valid tool for the identification of alterations in the spatial memory in both children and adults.

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New Tools of Alternative Communication for Persons with Verbal Communication Disorders

Cited by 11 publications

References 6 publications

Method for Adaptive Semantic Testing of Educational Materials Level of Knowledge

Method for Adaptive Semantic Testing of Educational Materials Level of Knowledge

Semantic alignment of ontologies meaningful categories with the generalization of descriptive structures

Developing and Evaluating a Game for the Assessment of Spatial Memory Using Auditory Stimuli

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