12 research outputs found
Advanced Parameterisation of Online Handwriting in Writers with Graphomotor Disabilities
Grafomotorick© obtÂe (GD) vraznĂ„ ovlivuj kvalitu ivota kolnÂm vĂ„kem poĂ„ÂnajÂc, kde se vyvÂjej grafomotorick© schopnosti, a do dchodov©ho vĂ„ku. VĂ„asn diagnza tĂ„chto obt a terapeutick zsah maj velk vznam k jejich zlepenÂ. Vzhledem k tomu, e GD souvis z vÂcermi symptomy v oblasti kinematiky, zkladn kinematick© parametry jako rychlost, zrychlen a vih prokzaly efektivn kvantizaci tĂ„chto symptom. Objektivn vpoĂ„etn syst©m podpory rozhodovn pro identifikaci a vyeten GD vak nen dostupn. A proto je hlavnÂm cÂlem m© disertaĂ„n prce vzkum pokroĂ„il© metody parametrizace online pÂsma pro analzu GD se specilnÂm zamĂ„enÂm na vyuit metod zlomkov©ho kalkulu. Tato prce je prvnÂ, kter experimentuje s vyuitÂm derivac neceloĂ„Âseln©ho du (FD) pro analzu GD pomoc online pÂsma zÂskan©ho od pacient s Parkinsonovou nemoc a u dĂ„t kolnÂho vĂ„ku. Byla navrena a evaluovna nov metoda parametrizace online pÂsma zaloena na FD vyuitÂm Grnwald-Letnikova pÂstupu. Bylo dokzno, e navren metoda vznamnĂ„ zlepuje diskriminaĂ„n sÂlu a deskriptivn schopnosti v oblasti Parkinsonick© dysgrafie. StejnĂ„ tak metoda pozitivnĂ„ ovlivnila i nejmodernĂ„j techniky v oblasti analzy GD u dĂ„t kolnÂho vĂ„ku. Vyvinut parametrizace byla optimalizovna s ohledem na vpoĂ„etn nroĂ„nost (a o 80 %) a tak© na vyladĂ„n du FD. Ke konci prce byly porovnny vÂcer© pÂstupy vpoĂ„tu FD, jmenovitĂ„ Riemann-Liouvillv, Caputv spoleĂ„nĂ„ z Grnwald-Letnikovm pÂstupem za Ă„elem identifikace tĂ„ch nejvhodnĂ„jÂch pro jednotliv© oblasti analzy GD.Graphomotor disabilities (GD) significantly affect the quality of life beginning from the school-age, when the graphomotor skills are developed, until the elderly age. The timely diagnosis of these difficulties and therapeutic interventions are of great importance. As GD are associated with several symptoms in the field of kinematics, the basic kinematic features such as velocity, acceleration, and jerk were proved to effectively quantify these symptoms. Nevertheless, an objective computerized decision support system for the identification and assessment of GD is still missing. Therefore, the main objective of my dissertation is the research of an advanced online handwriting parametrization utilized in the field of GD analysis, with a special focus on methods based on fractional calculus. This work is the first to experiment with fractional-order derivatives (FD) in the GD analysis by online handwriting of Parkinsonâs disease (PD) patients and school-age children. A new online handwriting parametrization technique based on the Grnwald-Letnikov approach of FD has been proposed and evaluated. In the field of PD dysgraphia, a significant improvement in the discrimination power and descriptive abilities was proven. Similarly, the proposed methodology improved current state-of-the-art techniques of GD analysis in school-aged children. The newly designed parametrization has been optimized in the scope of the computational performance (up to 80 %) as well as in FD order fine-tuning. Finally, various FD-approaches were compared, namely Riemann-Liouville, Caputoâs, together with Grnwald-Letnikov approximation to identify the most suitable approach for particular areas of GD analysis.
Drawing, Handwriting Processing Analysis: New Advances and Challenges
International audienceDrawing and handwriting are communicational skills that are fundamental in geopolitical, ideological and technological evolutions of all time. drawingand handwriting are still useful in defining innovative applications in numerous fields. In this regard, researchers have to solve new problems like those related to the manner in which drawing and handwriting become an efficient way to command various connected objects; or to validate graphomotor skills as evident and objective sources of data useful in the study of human beings, their capabilities and their limits from birth to decline
Semantic radical consistency and character transparency effects in Chinese: an ERP study
BACKGROUND: This event-related potential (ERP) study aims to investigate the representation and temporal dynamics of Chinese orthography-to-semantics mappings by simultaneously manipulating character transparency and semantic radical consistency. Character components, referred to as radicals, make up the building blocks used dur...postprin
Retrieval-, Distributed-, and Interleaved Practice in the Classroom:A Systematic Review
Three of the most effective learning strategies identified are retrieval practice, distributed practice, and interleaved practice, also referred to as desirable difficulties. However, it is yet unknown to what extent these three practices foster learning in primary and secondary education classrooms (as opposed to the laboratory and/or tertiary education classrooms, where most research is conducted) and whether these strategies affect different students differently. To address these gaps, we conducted a systematic review. Initial and detailed screening of 869 documents found in a threefold search resulted in a pool of 29 journal articles published from 2006 through June 2020. Seventy-five effect sizes nested in 47 experiments nested in 29 documents were included in the review. Retrieval- and interleaved practice appeared to benefit students’ learning outcomes quite consistently; distributed practice less so. Furthermore, only cognitive Student*Task characteristics (i.e., features of the student’s cognition regarding the task, such as initial success) appeared to be significant moderators. We conclude that future research further conceptualising and operationalising initial effort is required, as is a differentiated approach to implementing desirable difficulties
Word Knowledge and Word Usage
Word storage and processing define a multi-factorial domain of scientific inquiry whose thorough investigation goes well beyond the boundaries of traditional disciplinary taxonomies, to require synergic integration of a wide range of methods, techniques and empirical and experimental findings. The present book intends to approach a few central issues concerning the organization, structure and functioning of the Mental Lexicon, by asking domain experts to look at common, central topics from complementary standpoints, and discuss the advantages of developing converging perspectives. The book will explore the connections between computational and algorithmic models of the mental lexicon, word frequency distributions and information theoretical measures of word families, statistical correlations across psycho-linguistic and cognitive evidence, principles of machine learning and integrative brain models of word storage and processing. Main goal of the book will be to map out the landscape of future research in this area, to foster the development of interdisciplinary curricula and help single-domain specialists understand and address issues and questions as they are raised in other disciplines
General Course Catalog [July-December 2016]
Undergraduate Course Catalog, July-December 2016https://repository.stcloudstate.edu/undergencat/1124/thumbnail.jp
General Course Catalog [January-June 2017]
Undergraduate Course Catalog, January-June 2017https://repository.stcloudstate.edu/undergencat/1125/thumbnail.jp
General Course Catalog [July-December 2017]
Undergraduate Course Catalog, July-December 2017https://repository.stcloudstate.edu/undergencat/1126/thumbnail.jp