scholarly journals Math Manipulatives for Students with Severe Intellectual Disability: A Survey of Special Education Teachers

2017 ◽  
Vol 36 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Bree Ann Jimenez ◽  
Carol Stanger

A survey was conducted with 86 teachers across 10 states regarding their students’ ease of use of physical manipulatives incorporated with implementing evidence-based early numeracy instruction. The majority of respondents indicated significant student accessibility barriers. Specifically, 75% of respondents had students with tactile defensiveness or lack of gross motor skills; 85% had students with weak to no fine motor skills; and 83% had students who lost track of the math objectives while manipulating materials, making the use of manipulatives difficult or impossible. Ninety-four percent of respondents agreed or strongly agreed that the use of manipulatives are valuable for students to gain early numeracy concepts; however almost half indicated difficulty using them within math instruction. Finally, respondents overwhelmingly noted their student’s engaged with technology (e.g., iPad, Smart Board) to support learning. Overall survey results and need for future research, including the use of virtual manipulatives are discussed.

1987 ◽  
Vol 4 (4) ◽  
pp. 14-22
Author(s):  
Christopher F. Sharpley

The effects of non-contingent rewards administered both directly and implicitly for a fine motor skills task were investigated under a time-series design. Data were collected from all members of a typical class, with the teacher acting as experimenter to enhance generalizability. Results indicated that non-contingent rewards possessed neutral consequential effects, thus challenging data from some previous studies which have methodological limitations. The ineffectiveness of non-contingent rewards as reinforcers is discussed, with several suggestions made for future research to investigate the issue of previous reward history and its effect upon the non-contingent reward condition.


1977 ◽  
Vol 44 (3_suppl) ◽  
pp. 1131-1137 ◽  
Author(s):  
Virginia L. Bruininks ◽  
Robert H. Bruininks

The motor proficiency of 55 learning disabled and 55 nondisabled students was compared on a comprehensive battery of motor-skills tests. Learning disabled students performed significantly lower than nondisabled students on measures of fine motor skills and on measures of gross motor skills. Their greatest deficiencies were on tasks requiring body equilibrium, controlled fine visual-motor movements, and bilateral coordination of movements involving different parts of the body. All of these areas include complex motor patterns that require the integration of visual and kinesthetic senses with motor responses. Implications of these findings for the development of motor training programs and for future research are discussed.


Edupedia ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 67-77
Author(s):  
Farhatin Masrurah ◽  
Khulusinniyah Khulusinniyah

The first five years of a children’s age is the period of rapid growth with physical and motor development. Those process will develop well if stimulated continuously. Early childhood always identic with high activity requires the opportunity to express their abilities. Therefore playing method is very urgent inchildren’s gross motor skills and fine motor skills development through a variety of playing activities both indoors and outdoors. Playing is an activity that cannot be separated from early childhood’s world. All playing activities will be carried out happily. By the same token learning by playing will be done happily without any sense of being forced or oppressed.


Author(s):  
Domenica A. Merchan-Garcia ◽  
Alejandro S. Enriquez-Mancheno ◽  
Victor H. Uguna-Uguna ◽  
Paola F. Suquilanda-Cuesta ◽  
Vladimir E. Robles-Bykbaev

2021 ◽  
pp. 097226292110112
Author(s):  
Biranchi Narayan Swar ◽  
Rajesh Panda

The growth of online retailing has created an opportunity to create a scale specifically for online retail services. At the same time, the increasing rate of internet penetration in India coupled with electronic banking and wallets has formed new market place for many online retailers. In this context, to gain competitive advantage, the online retailers should provide better service quality. Thus, the present research tries to know the various constructs of retail service quality (RSQ) in online format and develop a measurement scale. The study has borrowed the constructs from ‘Retail Service Quality’ (RSQ) and ‘Technology Acceptance Model’ (TAM). For this purpose, we collected data from 600 respondents. The scale has been confirmed and validated by using CFA. The study confirmed that online RSQ (ORSQ) scale consists of four constructs: ‘Ease of Use’, ‘Problem Solving’, ‘Policy’ and ‘Reliability’ with 18 variables. The article has concluded and validated a scale for ORSQ which can help the online retailers to design their service offering. The implications of the ORSQ scale for practitioners, as well as for future research, are discussed in this article.


2020 ◽  
Vol 14 (1) ◽  
pp. 3
Author(s):  
Razvan Oprisor ◽  
Roy Kwon

We propose a novel multi-period trading model that allows portfolio managers to perform optimal portfolio allocation while incorporating their interpretable investment views. This model’s significant advantage is its intuitive and reactive design that incorporates the latest asset return regimes to quantitatively solve managers’ question: how certain should one be that a given investment view is occurring? First, we describe a framework for multi-period portfolio allocation formulated as a convex optimization problem that trades off expected return, risk and transaction costs. Using a framework borrowed from model predictive control introduced by Boyd et al., we employ optimization to plan a sequence of trades using forecasts of future quantities, only the first set being executed. Multi-period trading lends itself to dynamic readjustment of the portfolio when gaining new information. Second, we use the Black-Litterman model to combine investment views specified in a simple linear combination based format with the market portfolio. A data-driven method to adjust the confidence in the manager’s views by comparing them to dynamically updated regime-switching forecasts is proposed. Our contribution is to incorporate both multi-period trading and interpretable investment views into one framework and offer a novel method of using regime-switching to determine each view’s confidence. This method replaces portfolio managers’ need to provide estimated confidence levels for their views, substituting them with a dynamic quantitative approach. The framework is reactive, tractable and tested on 15 years of daily historical data. In a numerical example, this method’s benefits are found to deliver higher excess returns for the same degree of risk in both the case when an investment view proves to be correct, but, more notably, also the case when a view proves to be incorrect. To facilitate ease of use and future research, we also developed an open-source software library that replicates our results.


Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 27
Author(s):  
Yaniasih Yaniasih ◽  
Indra Budi

Classifying citations according to function has many benefits when it comes to information retrieval tasks, scholarly communication studies, and ranking metric developments. Many citation function classification schemes have been proposed, but most of them have not been systematically designed for an extensive literature-based compilation process. Many schemes were also not evaluated properly before being used for classification experiments utilizing large datasets. This paper aimed to build and evaluate new citation function categories based upon sufficient scientific evidence. A total of 2153 citation sentences were collected from Indonesian journal articles for our dataset. To identify the new categories, a literature survey was conducted, analyses and groupings of category meanings were carried out, and then categories were selected based on the dataset’s characteristics and the purpose of the classification. The evaluation used five criteria: coherence, ease, utility, balance, and coverage. Fleiss’ kappa and automatic classification metrics using machine learning and deep learning algorithms were used to assess the criteria. These methods resulted in five citation function categories. The scheme’s coherence and ease of use were quite good, as indicated by an inter-annotator agreement value of 0.659 and a Long Short-Term Memory (LSTM) F1-score of 0.93. According to the balance and coverage criteria, the scheme still needs to be improved. This research data was limited to journals in food science published in Indonesia. Future research will involve classifying the citation function using a massive dataset collected from various scientific fields and published from some representative countries, as well as applying improved annotation schemes and deep learning methods.


Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4916 ◽  
Author(s):  
Qiaoyun Wu ◽  
Yunzhe Zhang ◽  
Qian Yang ◽  
Ning Yuan ◽  
Wei Zhang

The vital importance of rapid and accurate detection of food borne pathogens has driven the development of biosensor to prevent food borne illness outbreaks. Electrochemical DNA biosensors offer such merits as rapid response, high sensitivity, low cost, and ease of use. This review covers the following three aspects: food borne pathogens and conventional detection methods, the design and fabrication of electrochemical DNA biosensors and several techniques for improving sensitivity of biosensors. We highlight the main bioreceptors and immobilizing methods on sensing interface, electrochemical techniques, electrochemical indicators, nanotechnology, and nucleic acid-based amplification. Finally, in view of the existing shortcomings of electrochemical DNA biosensors in the field of food borne pathogen detection, we also predict and prospect future research focuses from the following five aspects: specific bioreceptors (improving specificity), nanomaterials (enhancing sensitivity), microfluidic chip technology (realizing automate operation), paper-based biosensors (reducing detection cost), and smartphones or other mobile devices (simplifying signal reading devices).


2021 ◽  
Vol 1 (1) ◽  
pp. 6-17
Author(s):  
Andrija Pavlovic ◽  
Nina Rajovic ◽  
Jasmina Pavlovic Stojanovic ◽  
Debora Akinyombo ◽  
Milica Ugljesic ◽  
...  

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.


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