La inteligencia motriz en la escuela

La Educación Física, en un contexto de pensamiento dualista, se define como una toma de conciencia del cuerpo que para ser verdaderamente educativa, toma dos caminos: desarrollar el valor, el coraje -el más habitual-, y a veces y más recientemente, la inteligencia.

La inteligencia motriz en la escuela

La Educación Física, en un contexto de pensamiento dualista, se define como una toma de conciencia del cuerpo que para ser verdaderamente educativa, toma dos caminos: desarrollar el valor, el coraje -el más habitual-, y a veces y más recientemente, la inteligencia.

La inteligencia motriz en la escuela

La Educación Física, en un contexto de pensamiento dualista, se define como una toma de conciencia del cuerpo que para ser verdaderamente educativa, toma dos caminos: desarrollar el valor, el coraje -el más habitual-, y a veces y más recientemente, la inteligencia.

Escalada deportiva en mini muro artificial : Estudio comparativo en la formación del Profesorado en Educación Física CRUB-UNCO

Para analizar el proceso de aprendizaje de los estudiantes en escalada se diseñó una práctica de escalada en muro (sistema abierto estilo americano) a través de un estudio comparativo entre estudiantes de dos asignaturas correlativas (Deportes Regionales Estivales 1 y 2). El objetivo es conocer la forma de resolución de problemas corporales y motrices en la escalada en el marco del mini muro como dispositivo de enseñanza. Se realizó a mitad del año académico en cada asignatura y para ello se elaboró una planilla de cotejo para registrar y comparar los resultados alcanzados. Se realizó un procesamiento cuantitativo sobre la cantidad de problemas resueltos por grupo. Se trabajó con enfoque cuali-cuantitativo para analizar las formas de resolución de los problemas motrices de los estudiantes. Se observa que los estudiantes de DRE 2 resuelven mayor cantidad de problemas en el muro que los estudiantes de DRE 1. La hipótesis que se sostiene tiene que ver con que los estudiantes más avanzados disponen de una mayor experiencia traducida en inteligencia motriz o disponibilidad corporal y motriz, que los estudiantes de la asignatura previa. Esta comunicación es parte del proyecto 04-B169 "El Andinismo en la Educación Física: Seguridad, enseñanza y formación docente". CRUB-UNCo

Escalada deportiva en mini muro artificial : Estudio comparativo en la formación del Profesorado en Educación Física CRUB-UNCO

Para analizar el proceso de aprendizaje de los estudiantes en escalada se diseñó una práctica de escalada en muro (sistema abierto estilo americano) a través de un estudio comparativo entre estudiantes de dos asignaturas correlativas (Deportes Regionales Estivales 1 y 2). El objetivo es conocer la forma de resolución de problemas corporales y motrices en la escalada en el marco del mini muro como dispositivo de enseñanza. Se realizó a mitad del año académico en cada asignatura y para ello se elaboró una planilla de cotejo para registrar y comparar los resultados alcanzados. Se realizó un procesamiento cuantitativo sobre la cantidad de problemas resueltos por grupo. Se trabajó con enfoque cuali-cuantitativo para analizar las formas de resolución de los problemas motrices de los estudiantes. Se observa que los estudiantes de DRE 2 resuelven mayor cantidad de problemas en el muro que los estudiantes de DRE 1. La hipótesis que se sostiene tiene que ver con que los estudiantes más avanzados disponen de una mayor experiencia traducida en inteligencia motriz o disponibilidad corporal y motriz, que los estudiantes de la asignatura previa. Esta comunicación es parte del proyecto 04-B169 "El Andinismo en la Educación Física: Seguridad, enseñanza y formación docente". CRUB-UNCo

Escalada deportiva en mini muro artificial : Estudio comparativo en la formación del Profesorado en Educación Física CRUB-UNCO

Para analizar el proceso de aprendizaje de los estudiantes en escalada se diseñó una práctica de escalada en muro (sistema abierto estilo americano) a través de un estudio comparativo entre estudiantes de dos asignaturas correlativas (Deportes Regionales Estivales 1 y 2). El objetivo es conocer la forma de resolución de problemas corporales y motrices en la escalada en el marco del mini muro como dispositivo de enseñanza. Se realizó a mitad del año académico en cada asignatura y para ello se elaboró una planilla de cotejo para registrar y comparar los resultados alcanzados. Se realizó un procesamiento cuantitativo sobre la cantidad de problemas resueltos por grupo. Se trabajó con enfoque cuali-cuantitativo para analizar las formas de resolución de los problemas motrices de los estudiantes. Se observa que los estudiantes de DRE 2 resuelven mayor cantidad de problemas en el muro que los estudiantes de DRE 1. La hipótesis que se sostiene tiene que ver con que los estudiantes más avanzados disponen de una mayor experiencia traducida en inteligencia motriz o disponibilidad corporal y motriz, que los estudiantes de la asignatura previa. Esta comunicación es parte del proyecto 04-B169 "El Andinismo en la Educación Física: Seguridad, enseñanza y formación docente". CRUB-UNCo

La Business Intelligence per il monitoraggio delle vendite: il caso Ducati Motor Holding

“La Business Intelligence per il monitoraggio delle vendite: il caso Ducati Motor Holding”. L’obiettivo di questa tesi è quello di illustrare cos’è la Business Intelligence e di mostrare i cambiamenti verificatisi in Ducati Motor Holding, in seguito alla sua adozione, in termini di realizzazione di report e dashboard per il monitoraggio delle vendite. L’elaborato inizia con una panoramica generale sulla storia e gli utilizzi della Business Intelligence nella quale vengono toccati i principali fondamenti teorici: Data Warehouse, data mining, analisi what-if, rappresentazione multidimensionale dei dati, costruzione del team di BI eccetera. Si proseguirà mediante un focus sui Big Data convogliando l’attenzione sul loro utilizzo e utilità nel settore dell’automotive (inteso nella sua accezione più generica e cioè non solo come mercato delle auto, ma anche delle moto), portando in questo modo ad un naturale collegamento con la realtà Ducati. Si apre così una breve overview sull’azienda descrivendone la storia, la struttura commerciale attraverso la quale vengono gestite le vendite e la gamma dei prodotti. Dal quarto capitolo si entra nel vivo dell’argomento: la Business Intelligence in Ducati. Si inizia descrivendo le fasi che hanno fino ad ora caratterizzato il progetto di Business Analytics (il cui obiettivo è per l'appunto introdurre la BI i azienda) per poi concentrarsi, a livello prima teorico e poi pratico, sul reporting sales e cioè sulla reportistica basata sul monitoraggio delle vendite.

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference

This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection procedure to select pertinent features from data set. The crisp rules obtained from the decision tree are then converted to fuzzy if-then rules that are employed to identify the structure of ANFIS classifier. The hybrid of back-propagation and least squares algorithm are utilized to tune the parameters of the membership functions. In order to evaluate the proposed algorithm, the data sets obtained from vibration signals and current signals of the induction motors are used. The results indicate that the CART–ANFIS model has potential for fault diagnosis of induction motors.

Growth of Motor Coordination in Early Robot Learning

M. H. Lee and Q. Meng, Growth of Motor Coordination in Early Robot Learning, IJCAI-05, 2005.

Predicting IQ of biologically "at risk" children from age 3 to school entry:sensitivity and specificity of the Stanford-Binet Intelligence Scale IV

Predictive validity of the Stanford-Binet Intelligence Scale Fourth Edition (S-B IV) from age 3 years to ages 4-5 years was evaluated with biologically "at risk" children without major sensory or motor impairments (n = 236). Using the standard scoring, children with full scale IQ <or = 84 on the Wechsler Preschool and Primary Scale of Intelligence at age 4-5 years were poorly identified (sensitivity 54%) from the composite S-B IV score at age 3. However, sensitivity improved greatly to 78% by including as a predictor the number of subtests the child was actually able to perform at age 3 years. Measures from the Home Screening Questionnaire and ratings of mother-child interaction further improved sensitivity to 83%. The standard method for calculating the composite score on the S-B IV excludes subtests with a raw score of 0, which overestimates cognitive functioning in young biologically high risk children. Accuracy of early identification was improved significantly by considering the number of subtests the child did not perform at age 3 years.

Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's disease

Objective: To develop a method for objective quantification of PD motor symptoms related to Off episodes and peak dose dyskinesias, using spiral data gathered by using a touch screen telemetry device. The aim was to objectively characterize predominant motor phenotypes (bradykinesia and dyskinesia), to help in automating the process of visual interpretation of movement anomalies in spirals as rated by movement disorder specialists. Background: A retrospective analysis was conducted on recordings from 65 patients with advanced idiopathic PD from nine different clinics in Sweden, recruited from January 2006 until August 2010. In addition to the patient group, 10 healthy elderly subjects were recruited. Upper limb movement data were collected using a touch screen telemetry device from home environments of the subjects. Measurements with the device were performed four times per day during week-long test periods. On each test occasion, the subjects were asked to trace pre-drawn Archimedean spirals, using the dominant hand. The pre-drawn spiral was shown on the screen of the device. The spiral test was repeated three times per test occasion and they were instructed to complete it within 10 seconds. The device had a sampling rate of 10Hz and measured both position and time-stamps (in milliseconds) of the pen tip. Methods: Four independent raters (FB, DH, AJ and DN) used a web interface that animated the spiral drawings and allowed them to observe different kinematic features during the drawing process and to rate task performance. Initially, a number of kinematic features were assessed including ‘impairment’, ‘speed’, ‘irregularity’ and ‘hesitation’ followed by marking the predominant motor phenotype on a 3-category scale: tremor, bradykinesia and/or choreatic dyskinesia. There were only 2 test occasions for which all the four raters either classified them as tremor or could not identify the motor phenotype. Therefore, the two main motor phenotype categories were bradykinesia and dyskinesia. ‘Impairment’ was rated on a scale from 0 (no impairment) to 10 (extremely severe) whereas ‘speed’, ‘irregularity’ and ‘hesitation’ were rated on a scale from 0 (normal) to 4 (extremely severe). The proposed data-driven method consisted of the following steps. Initially, 28 spatiotemporal features were extracted from the time series signals before being presented to a Multilayer Perceptron (MLP) classifier. The features were based on different kinematic quantities of spirals including radius, angle, speed and velocity with the aim of measuring the severity of involuntary symptoms and discriminate between PD-specific (bradykinesia) and/or treatment-induced symptoms (dyskinesia). A Principal Component Analysis was applied on the features to reduce their dimensions where 4 relevant principal components (PCs) were retained and used as inputs to the MLP classifier. Finally, the MLP classifier mapped these components to the corresponding visually assessed motor phenotype scores for automating the process of scoring the bradykinesia and dyskinesia in PD patients whilst they draw spirals using the touch screen device. For motor phenotype (bradykinesia vs. dyskinesia) classification, the stratified 10-fold cross validation technique was employed. Results: There were good agreements between the four raters when rating the individual kinematic features with intra-class correlation coefficient (ICC) of 0.88 for ‘impairment’, 0.74 for ‘speed’, 0.70 for ‘irregularity’, and moderate agreements when rating ‘hesitation’ with an ICC of 0.49. When assessing the two main motor phenotype categories (bradykinesia or dyskinesia) in animated spirals the agreements between the four raters ranged from fair to moderate. There were good correlations between mean ratings of the four raters on individual kinematic features and computed scores. The MLP classifier classified the motor phenotype that is bradykinesia or dyskinesia with an accuracy of 85% in relation to visual classifications of the four movement disorder specialists. The test-retest reliability of the four PCs across the three spiral test trials was good with Cronbach’s Alpha coefficients of 0.80, 0.82, 0.54 and 0.49, respectively. These results indicate that the computed scores are stable and consistent over time. Significant differences were found between the two groups (patients and healthy elderly subjects) in all the PCs, except for the PC3. Conclusions: The proposed method automatically assessed the severity of unwanted symptoms and could reasonably well discriminate between PD-specific and/or treatment-induced motor symptoms, in relation to visual assessments of movement disorder specialists. The objective assessments could provide a time-effect summary score that could be useful for improving decision-making during symptom evaluation of individualized treatment when the goal is to maximize functional On time for patients while minimizing their Off episodes and troublesome dyskinesias.

Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's disease

A challenge for the clinical management of advanced Parkinson’s disease (PD) patients is the emergence of fluctuations in motor performance, which represents a significant source of disability during activities of daily living of the patients. There is a lack of objective measurement of treatment effects for in-clinic and at-home use that can provide an overview of the treatment response. The objective of this paper was to develop a method for objective quantification of advanced PD motor symptoms related to off episodes and peak dose dyskinesia, using spiral data gathered by a touch screen telemetry device. More specifically, the aim was to objectively characterize motor symptoms (bradykinesia and dyskinesia), to help in automating the process of visual interpretation of movement anomalies in spirals as rated by movement disorder specialists. Digitized upper limb movement data of 65 advanced PD patients and 10 healthy (HE) subjects were recorded as they performed spiral drawing tasks on a touch screen device in their home environment settings. Several spatiotemporal features were extracted from the time series and used as inputs to machine learning methods. The methods were validated against ratings on animated spirals scored by four movement disorder specialists who visually assessed a set of kinematic features and the motor symptom. The ability of the method to discriminate between PD patients and HE subjects and the test-retest reliability of the computed scores were also evaluated. Computed scores correlated well with mean visual ratings of individual kinematic features. The best performing classifier (Multilayer Perceptron) classified the motor symptom (bradykinesia or dyskinesia) with an accuracy of 84% and area under the receiver operating characteristics curve of 0.86 in relation to visual classifications of the raters. In addition, the method provided high discriminating power when distinguishing between PD patients and HE subjects as well as had good test-retest reliability. This study demonstrated the potential of using digital spiral analysis for objective quantification of PD-specific and/or treatment-induced motor symptoms.

Hypothesis generation for management intelligence

Investigation of the role of hypothesis formation in complex (business) problem solving has resulted in a new approach to hypothesis generation. A prototypical hypothesis generation paradigm for management intelligence has been developed, reflecting a widespread need to support management in such areas as fraud detection and intelligent decision analysis. This dissertation presents this new paradigm and its application to goal directed problem solving methodologies, including case based reasoning. The hypothesis generation model, which is supported by a dynamic hypothesis space, consists of three components, namely, Anomaly Detection, Abductive Reasoning, and Conflict Resolution models. Anomaly detection activates the hypothesis generation model by scanning anomalous data and relations in its working environment. The respective heuristics are activated by initial indications of anomalous behaviour based on evidence from historical patterns, linkages with other cases, inconsistencies, etc. Abductive reasoning, as implemented in this paradigm, is based on joining conceptual graphs, and provides an inference process that can incorporate a new observation into a world model by determining what assumptions should be added to the world, so that it can explain new observations. Abductive inference is a weak mechanism for generating explanation and hypothesis. Although a practical conclusion cannot be guaranteed, the cues provided by the inference are very beneficial. Conflict resolution is crucial for the evaluation of explanations, especially those generated by a weak (abduction) mechanism.The measurements developed in this research for explanation and hypothesis provide an indirect way of estimating the ‘quality’ of an explanation for given evidence. Such methods are realistic for complex domains such as fraud detection, where the prevailing hypothesis may not always be relevant to the new evidence. In order to survive in rapidly changing environments, it is necessary to bridge the gap that exists between the system’s view of the world and reality.Our research has demonstrated the value of Case-Based Interaction, which utilises an hypothesis structure for the representation of relevant planning and strategic knowledge. Under, the guidance of case based interaction, users are active agents empowered by system knowledge, and the system acquires its auxiliary information/knowledge from this external source. Case studies using the new paradigm and drawn from the insurance industry have attracted wide interest. A prototypical system of fraud detection for motor vehicle insurance based on an hypothesis guided problem solving mechanism is now under commercial development. The initial feedback from claims managers is promising.