Search results for "scoring"

A Validation Study of Classroom Assessment Scoring System–Secondary in the Finnish School Context

2017

This study examined the reliability and validity of the Classroom Assessment Scoring System–Secondary (CLASS-S) in Finnish classrooms. Trained observers coded classroom interactions based on video recordings of 46 Grade 6 classrooms (450 cycles). Concurrent associations were investigated with respect to teacher self-ratings (e.g., efficacy beliefs and teaching-related stress). Confirmatory factor analysis showed that the hypothesized three-factor structure of the original CLASS-S (Emotional Support, Organizational Support, and Instructional Support), with some modifications, provided a better fit for the data compared with one- and two-factor structures. Structural validity was demonstrate…

Dynamic aphasia and the generation of language

2004

Severely reduced propositional speech in the context of intact nominal language skills (i.e., repetition, naming, comprehension, and reading) is the hallmark of dynamic aphasia (Luria, 1970). Recent evidence suggests there may be different types of dynamic aphasia as some patients do not produce any response on verbal generation tasks, whilst others are able to perform normally on verbal genera- tion tasks. For example, Robinson and colleagues (Robinson, Blair, & Cipolotti, 1998; Robinson, Shallice, & Cipolotti, 2004) reported two dynamic aphasics who failed to produce a verbal response when many verbal response options were activated by a stimulus, but not when a dominant response was avai…

A methodology to select the price criterion in public procurement

2015

[EN] The construction sector is a key driver for economic growth in any nation and public procurement is one of its pillars hence the importance of the study and investigation of its mechanisms, especially tendering criteria. Price is the main deciding factor for most tenders and projects must have an appropriate base price relative to market price to avoid problems during the execution of the project. Most research on price criteria has been developed from the point of view of bidders and has discussed the development of tools and methodologies for determining the optimal bid price. In this paper we propose a methodology for public procurement procedures from the point of view of the admin…

A review of studies using the Körperkoordinationstest für Kinder (KTK)

2015

The Körperkoordinationstest für Kinder (KTK) (Kiphard & Schilling, 1974, 2007) is a standardized, norm-referenced measure used by physical therapists and occupational therapists in clinic and school practice settings to evaluate the motor coordination (MC) of 5- to 14-year-old children. To find out for which research purposes the KTK has been used and its reliability and validity, we conducted a systematic review. Searching five databases, we found 46 studies used the KTK over four decades. The KTK was widely used in Europe in children with typical and atypical development. The KTK was used to investigate associations, to test the effects of interventions and treatments, to identify or diag…

Evaluasi Penerapan Konsep Ekowisata di Kampung Wisata Arborek, Raja Ampat

2021

Evaluation the application of the ecotourism concept in a tourist destination is considered important in maintaining the sustainability of tourism management. Arborek tourism village is one of the best tourist villages in Raja Ampat so that the selection as a research location is considered appropriate to evaluate the application of the ecotourism concept to every tourist activity so that the existence of Arborek Tourism Village is maintained. The purpose of this study is to evaluate the application of the ecotourism concept in the Arborek tourist village. The data was taken using a closed ended questionnaire and then analyzed using the One Score One Criteria Scoring System method. The resu…

A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series

2021

Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…

Conducting sensory analysis tests among the elderly

2015

Evaluación por rúbricas de la Composición Escrita en 2º ciclo de Educación Primaria

2015

Evaluación por rúbricas de la Composición Escrita en 2º ciclo de Educación Primaria. Resumen El objetivo de este estudio de tesis doctoral es elaborar y validar un sistema de rúbricas como instrumento de evaluación e información de los procesos docentes, permitiendo la medición de aprendizajes complejos; en concreto, la habilidad para componer textos escritos, cuando aún no está consolidada esta subcompetencia; es decir, durante su proceso de adquisición. El nivel educativo seleccionado para la obtención de las muestras de producción escrita es 2º Ciclo de Educación Primaria, con alumnos entre los 8 y 10 años. Y la cuestión es ¿evalúa la rúbrica construida lo que intenta medir? Para ello, s…

Improving Docking Performance Using Negative Image-Based Rescoring

2018

Despite the large computational costs of molecular docking, the default scoring functions are often unable to recognize the active hits from the inactive molecules in large-scale virtual screening experiments. Thus, even though a correct binding pose might be sampled during the docking, the active compound or its biologically relevant pose is not necessarily given high enough score to arouse the attention. Various rescoring and post-processing approaches have emerged for improving the docking performance. Here, it is shown that the very early enrichment (number of actives scored higher than 1% of the highest ranked decoys) can be improved on average 2.5-fold or even 8.7-fold by comparing th…

Automated scoring of teachers’ pedagogical content knowledge : a comparison between human and machine scoring

2020

To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate approach to reduce the resource-intensity of human scoring and to achieve more consistent scoring results than human raters. The focus is on the comparability of human and automated scoring of PCK for economics teachers. The answers of (prospective) teachers (N = 852) to six open-response tasks from a standardized and validated test were scored by two trained human raters and the engine “Educational SCoRIng Toolkit” (ESCRITO). The average agreement between human and computer ratings, κw = 0.66, suggests a convergent …