Multi-dimensional Assessment System Research Articles

The analysis of teaching quality evaluation for the college sports dance by convolutional neural network model and deep learning

This study aims to comprehensively analyze and evaluate the quality of college physical dance education using Convolutional Neural Network (CNN) models and deep learning methods. The study introduces a teaching quality evaluation (TQE) model based on one-dimensional CNN, addressing issues such as subjectivity and inconsistent evaluation criteria in traditional assessment methods. By constructing a comprehensive TQE system comprising 24 evaluation indicators, this study innovatively applies deep learning technology to quantitatively assess the quality of physical dance education. This TQE model processes one-dimensional evaluation data by extracting local features through convolutional layers, reducing dimensions via pooling layers, and feeding feature vectors into a classifier through fully connected layers to achieve an overall assessment of teaching quality. Experimental results demonstrate that after 150 iterations of training and validation on the TQE model, convergence is achieved, with mean squared error (MSE) decreasing to 0.0015 and 0.0216 on the training and validation sets, respectively. Comparatively, the TQE model exhibits significantly lower MSE on the training, validation, and test sets compared to the Back-Propagation Neural Network, accompanied by a higher R2 value, indicating superior accuracy and performance in data fitting. Further analysis on robustness, parameter sensitivity, multi-scenario adaptability, and long-term learning capabilities reveals the TQE model's strong resilience and stability in managing noisy data, varying parameter configurations, diverse teaching contexts, and extended time-series data. In practical applications, the TQE model is implemented in physical dance courses at X College to evaluate teaching quality and guide improvement strategies for instructors, resulting in notable enhancements in teaching quality and student satisfaction. In conclusion, this study offers a comprehensive evaluation of university physical dance education quality through a multidimensional assessment system and the application of the 1D-CNN model. It introduces a novel and effective approach to assessing teaching quality, providing a scientific foundation and practical guidance for future educational advancements.

Analysis on the Training Path of Data Literacy Ability of Financial Talents in the Era of Digital Economy

With the rapid development of informatization, data has become a new element, and data literacy is a key element in the training of new financial talents. This study demonstrates the necessity of financial data literacy talent construction, analyzes the core ability of financial data literacy talent training in the era of digital economy. It includes capabilities such as data acquisition ability, real-time data analysis ability, system model construction ability, programming ability, etc. In addition, a financial data literacy training framework is built, data literacy content is reconstructed from the two dimensions of value literacy and skill literacy, a three-dimensional integrated teaching environment of "classroom + laboratory + experience site" is created and teaching mode innovation is achieved. A multi-dimensional assessment system is implemented, and a financial data literacy training path based on teaching framework, teaching content, teaching mode and teaching assessment is finally formed.

From comprehensive geriatric assessment to an integrated multidimensional assessment system: interRAI tools and their applications

The multidimensional assessment carried out with interRAI tools constitutes an operationalization of the International Classification of Functioning, Disability and Health (ICF) and is adapted to the specificities of each place of care. From a single assessment, the interRAI approach makes it possible to conduct a multidimensional assessment of functional autonomy and to produce a series of indicators (health, areas of intervention, quality of care and consumption of resources). It helps to identify clinical needs to be the subject of a personalized care plan and the strengths and weaknesses of health organizations to modify the professional practices. Compared to standardized geriatric assessment, interRAI tools consider the person's expectations and resources, offer a universal common language, produce a multidimensional synthesis and facilitate the construction of an integrated information system. The basis for their development is scientificity based on evidence.

Coupling and Coordination Relationship between Urbanization Quality and Ecosystem Services in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomeration, China

The study of the man–land relationship in the urbanization process is the current frontier and focus of international research. How to balance urban development and ecosystem conservation in the Upper Yellow River is a key issue for sustainable development in China. In this study, we evaluated the Lanzhou–Xining urban agglomeration (LXUA) by constructing a multi-dimensional assessment system for urbanization quality and ecosystem services. The efficacy function model, entropy weight method, and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model were used to quantitatively assess the subsystems’ state of development. Then, the coupling model (CD) and the coordination degree (CCD) model were used to explore the coupling coordination relationship and spatial-temporal change characteristics of the composite system. The findings indicate that: (1) In 2020, the quality of urbanization in the LXUA showed the pattern of “double core”. The development of urban centers in each city is insufficient, and the proportion of counties with a low level is too high. (2) Integrated ecosystem services showed an increasing distribution pattern from the northeast to the southwest. Water provision services, soil conservation services and carbon fixation services all showed growth trends. (3) Each county’s composite system was in the run-in stage or highly coupled stage. The subsystems were closely related to each other. (4) The CCD was decreased by 6% between two decades. The number of counties on the verge of disorder was the highest. About 80% of the counties were relatively lagging behind in ecosystem services.

An Analysis and Design of Adaptive Assessment System for Manufacturing Industry 4.0 Implementation in Indonesia

The implementation of Industry 4.0 technology has developed rapidly. Despite its development, Indonesia is still nascent and requires some implementation monitoring in its priority industries. This study aims to design a system for assessing the readiness of implementing Industry 4.0 in priority manufacturing industries in Indonesia. A Fuzzy Inference System framework with six main dimensions has been developed to assess the level of readiness for Industry 4.0 in priority manufacturing industries. The six assessment dimensions are Legal Consideration, Products and Service, Manufacturing and Operations, Strategy and Organization, Supply Chain, and Business Model. These dimensions have been developed into a complete assessment system for evaluating the level of readiness for implementing Industry 4.0. Validation of the system has shown that the multi-dimensional assessment system can provide appropriate assessment results to assess the level of readiness for Industry 4.0 in priority manufacturing industries.

The development of the Standardised Tool for the Assessment of Bruxism (STAB): An international road map.

This paper summarises the background reasoning and work that led to the selection of the items included in the Standardised Tool for the Assessment of Bruxism (STAB), also introducing the list of items. The instrument is currently being tested for face validity and on-field comprehension. The underlying premise is that the different motor activities included in the bruxism spectrum (e.g. clenching vs. grinding, with or without teeth contact) potentially need to be discriminated from each other, based on their purportedly different aetiology, comorbidities and potential consequences. Focus should be on a valid impression of the activities' frequency, intensity and duration. The methods that can be used for the above purposes can be grouped into strategies that collect information from the patient's history (subject-based), from the clinical assessment performed by an examiner (clinically based) or from the use of instruments to measure certain outcomes (instrumentally based). The three strategies can apply to all aspects of bruxism (i.e. status, comorbid conditions, aetiology and consequences). The STAB will help gathering information on many aspects, factors and conditions that are currently poorly investigated in the field of bruxism. To this purpose, it is divided into two axes. Axis A includes the self-reported information on bruxism status and potential consequences (subject-based report) together with the clinical (examiner report) and instrumental assessment (technology report). Axis B includes the self-reported information (subject-based report) on factors and conditions that may have an etiological or comorbid role for bruxism. This comprehensive multidimensional assessment system will allow building predictive model for clinical and research purposes.

Continuous multidimensional assessment system of medical residents in teaching hospitals.

Background and aimsEvaluation of learners is considered as one of the most important principles in education, especially in the clinical fields. Continuous assessment can be used to provide appropriate feedback to students about their strengths and weaknesses. In this regard, this study is aimed to design a system of continuous assessment of medical residents (SCMARs).MethodsThis study was performed using a combination of qualitative methods, including focus group discussion, expert panel, and Delphi technique. The study population consisted of all the stakeholders involved in the evaluation process of medical residents in Imam Reza Hospital Complex (IRHC) in Iran. This study was conducted in three phases, including identification of subthemes and indicators, production of a primary framework for the SCMAR, and agreement on the subthemes of the SCMAR. The nominal group technique was used for generating priority information. Data analysis was performed during the agreement review stage with the Excel software version 2016.ResultsThe finalized SCMAR consisted of 10 main themes and 38 subthemes. The themes included objectives, evaluators, areas, and indicators of evaluation, evaluation periods, evaluation requirements, data collection, data sources, point assignment and data analysis methods, reporting, and feedback dissemination methods. Five areas of evaluation and 11 indicators of evaluation were proposed.ConclusionA comprehensive assessment system that continuously evaluates the performance of Medical Residents can be used as a stimulus to improve the quality of educational processes. The present study was aimed to address this need by designing a framework for such a system.

Features of formation of motivation for online learning of students of pedagogical specialties

The concept of "motivation" and modern theories of learning motivation are theoretically substantiated and described: expectancy-value theory, attribution theory, social-cognitive theory, goal orientation theory, self-determination theory. Teaching strategies and pedagogical conditions that motivate students to educational and cognitive activities in the online environment, taking into account the theory of self-determination, are determined. In particular, in order to succeed in mastering something new, a student must feel competent (acquire the appropriate skills to perform practical tasks), related (feel belonging and attachment to groups or individuals), autonomous (feel that he/she controls his/her behavior and is responsible for its goals, capable of self-learning).
 The pedagogical conditions for the formation of positive motivation and involvement of students in learning online are substantiated and determined, namely: giving a student the opportunity to be an accomplice in the learning process; structuring educational materials in accordance with learning objectives; promoting student initiative and creativity, ensuring group activities and a multidimensional assessment system.
 The key to fulfilling the pedagogical conditions is the teacher's motivation to implement online learning at the level of the course author, mentor and tutor for higher education students. External and internal factors of motivation of teachers for introduction of elements of distance (online) and mixed (alternation of online and offline) training by teachers in the educational process of establishments of higher education are defined.
 Experimentally confirmed: positive impact on the motivation of the implemented online learning strategies and pedagogical conditions; revealed a significant direct relationship between the student's ability to self-development and self-learning and his/her motivation for online learning

Clinical evaluation on idiopathic pulmonary fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a chronic fatal pulmonary disease characterized by complex illness condition. There is no effective treatment at present except lung transplantation. The comprehensive evaluation is helpful for the management of patients with IPF in hierarchical stages. Therefore, it is very important to evaluate IPF by various independent factors. At present, the commonly used methods for clinical evaluation on IPF include assessment of health-related quality of life, assessment of physiological function, assessment of imaging, assessment of laboratory examination, and multi-dimensional assessment system. However, there are different advantages and disadvantages on diverse evaluation methods for the evaluation of IPF.

Housing and neighbourhood diagnosis for ageing in place: Multidimensional Assessment System of the Built Environment (MASBE)

Current urban, health and social challenges demand new multidisciplinary assessment systems for decision-making in the built environment from the perspective of the elderly, as an even more vulnerable population. This research contributes with a Multidimensional Assessment System of the Built Environment (MASBE) that provides an integral diagnosis on the perceived suitability of urban and housing environments for an ageing population, whose novel approach is structured and weighted through 35 multidisciplinary variables that are organised in seven dimensions: design, accessibility, comfort, maintenance, security and health, use and control, and stimulus. The system is applied and tested in reference case studies from Spain and Mexico, in order to demonstrate its operation and replicability. The weighted and displayed results help to identify the weaknesses and strengths of each application scale, obtaining average values far from 7.50, as the ideal value for ageing in place, and certain dimensions below 5.00, discussing through a sensitivity analysis the main influencing factors, health risks and major demands of elderly residents before deciding action strategies. The key outcomes incorporate useful implications for policy-makers, promoters and construction firms by enabling assessment procedures to adapt urban and housing spaces for the elderly, thereby ensuring satisfactory proposals in the built environment.

Measuring Quality of Life in Urban Areas: Toward an Integrated Approach

The paper examines the various aspects involved in contextualizing and measuring quality of life (QOL) in urban areas. The paper reports on an on-going research project that aims to establish multi-dimensional assessment system to measure QOL in Saudi Arabian cities. To develop a localized QOL measure that capture local aspects of QOL without losing the potential to compare data between different cities or regions, the paper critically analyzed and examined a wide range of conceptual and methodological issues related to QOL assessment and measurement. The study pointed out the need to adopt a multi-dimensional integrated approach that uses both a top-down and a bottom-up approach and incorporate secondary/objective data as well as primary data obtained through self-report surveys. An integrated framework to contextualize, operationalize and measure QOL in the Saudi context has been developed based on critical analysis of literature.

The Impact of China’s New Rural Pension Scheme on the Rural Elderly’s Poverty

China’s New Rural Pension Scheme is a significant component of the social security system, which is a long-term mechanism for the country to stabilize poverty. Therefore, it is important to explore the impact of China’s New Rural Pension Scheme on the rural elderly’s poverty in China. Based on 2008-2004 Chinese Longitudinal Healthy Longevity Survey （CLHLS） pannel data, this article utilizes the Difference-in-Differences （DID） and Difference-in-Differences Propensity Score Matching （DID-PSM） identification methods to control the endogeneity and sample selection bias of the models. The poverty alleviation performance of China’s New Rural Pension Scheme is comprehensively evaluated in this research. we also try to analyze the potential impact mechanisms. The empirical results show that: （1） The New Rural Pension Scheme has a significant poverty alleviation effect on the rural elderly in China, and the probability of the elderly being in poverty is significantly reduced. However, this policy effect is significantly weakened by crowding out intergenerational transfer payments. （2） China’s New Rural Pension Scheme has significantly improved the subjective welfare level and the life satisfaction of the elderly, but the impact on self-rated health is not significant. （3） Further research highlights that the heterogeneity of poverty alleviation performance of China’s New Rural Pension Scheme is studied according to different marital status, age, regions and eldercare patterns. It shows that the policy effect is significantly heterogeneous for diferent groups, suggesting the heterogeneity of the New Rural Pension Scheme’s effects. The poverty alleviation performance of the elderly is relatively smaller for the central and western regions, the elderly living alone and without spouses. There is a certain deviation from the goal of promoting precision poverty alleviation and equalization of basic public services, which provides a reference for future precision poverty alleviation work. We should explore more accurate subsidy methods and payment settings to improve poverty alleviation performance. It should increase policy inclinations for vulnerable elderly groups and build more fair social security system. At present, with the rapid increase in the coverage of the New Rural Pension Scheme, the income level of the elderly in rural areas has been enhanced, and the probability of the elderly falling into poverty has been reduced. The next step needs to focus on improving the level of the pension and gradually improving the precision poverty alleviation performance of the policy. It is necessary to establish a multi-dimensional assessment system to accurately identify the poor elderly, increasing their pensions. We should dynamically adjust the level of security according to different levels of poverty and gradually balance the gap between urban and rural. To build a more fair social security system will improve the welfare level of the elderly and continuously enhance the people’s sense of happiness and security.

Comparison of GOLD classification and modified BODE index as staging systems of COPD

ObjectiveTo compare GOLD classification of COPD versus the modified BODE index as staging systems of COPD. BackgroundChronic obstructive pulmonary disease (COPD) is characterized by persistent airflow limitation. The degree of airflow limitation was poorly predictive of dyspnea and quality of life. The BODE index was the first multidimensional assessment system for COPD. Cardiopulmonary exercise testing (CPET) is the most comprehensive, and correlates best with the symptoms of COPD. In this regard, two novel mBODE indices were constructed by replacing 6MWT with V̇O2 peak expressed either as the percentage of predicted values (mBODE%) or as the absolute values in ml/min/kg (mBODE). MethodsThis study included 28 patients with a wide range of severities of COPD. Cardiopulmonary exercise test and pulmonary functions were done. GOLD spirometric staging and combined assessment grouping were calculated then compared with the two mBODE indices. ResultsModerate agreement between the GOLD combined assessment grouping and GOLD spirometric staging systems and between mBODE and mBODE% in stratifying severity of COPD patients was observed. Evaluation of mBODE index as predictors of severity of COPD using GOLD spirometric staging as a diagnostic predictor of COPD revealed that mBODE index was 100% sensitive. However, 59.1% and 72.2% specificity were found for mBODE V̇O2ml/min/kg and mBODE V̇O2% predicted, respectively. ConclusionMultidimensional staging system taking into account the exercise pulmonary function tests is better than unidimensional systems based on the resting pulmonary function tests only. Therefore this suggests the need for integration of the novel multidimensional approach in the diagnostic guidelines of COPD.