Improving Reading and Calculation Ability through Audio Visuals Media in Indonesian Elementary School Student with Slow Learner: A Literature Study

Learning media can be made using audio-visual media. Audio-visual media here is the media that conveys the message specifically to the senses of hearing and sight. The media has sound elements and image elements. Teachers who provide modifications to the media will make learning more interesting for students, especially if there are students with slow learner barriers in class. The slow learner is a learning barrier in children, which is characterized by a gap between the level of intelligence and academic ability that should be achieved. The use of audio-visual media is able to have a positive influence on the reading and numeracy skills of students with slow learners.

Difficulties of Young Adults With Dyslexia in Reading and Writing Numbers

Letters and numbers are different domains, and their differentiation increases with schooling. It has nonetheless been argued that reading alphabetic and numerical materials partly involves the same processes, even in adults. Whether individuals with dyslexia have difficulty reading and writing numbers remains to be established. This study examined this issue in a group of 30 young adults with a diagnosis of dyslexia, without any concurrent specific difficulty in processing quantities compared with a typically developing group matched for gender, age, university attended and course of studies, and approximate calculation ability. The results showed that adults with dyslexia also have severe difficulty in reading and writing numbers. It emerged that their number reading speed correlated moderately with word reading speed. We concluded that dyslexia is specifically related with difficulties in reading and writing not only alphabetic material, but also numerical material. Our findings suggest that these abilities should be considered more carefully when assessing and supporting individuals with dyslexia.

Research on Poverty Alleviation in China Based on Big Data in the Context of COVID-19

Objectives: In order to alleviate the impact of COVID-19 on China's poverty alleviation work, this paper proposesa performance evaluation method and a recommendation algorithm for poverty indicator system suitable forChina's national conditions based on big data technology. Methods: The evaluation method combines the preciseadvantages of Bayesian classifier and the full-volume processing characteristics of big data to comprehensivelyevaluate the past poverty alleviation achievements. The recommendation algorithm takes the poverty alleviationdata over the years as the research object and realizes the construction method of the indicator system in therelative poverty stage. Results: The comparison with Pearson's correlation coefficient shows that the newevaluation method has more accurate confidence calculation ability. And compared with the classic ALSrecommendation algorithm, the new recommendation algorithm has a more scientific and reasonablerecommendation effect. Conclusions: Finally, the paper proposes relevant suggestions for the next stage of policyformulation, proves that medical and health conditions play an important role in supporting poverty alleviation.

DEVELOPMENT OF PADDY-FIELD WATER LEVEL GAGE CORRESPONDING TO A SENSOR-NETWORK

This study proposes a measurement system that comprises an e-Tape water level sensor, Arduino and XBee. The system was considered a success because of the linear relation between measured voltage signals and water depths obtained by it. This linearity was essential because Arduino does not have non-linear calculation ability. As a result, the numerical order of RMSE in measuring water depth using this system was obtained as 3.52 mm. For measuring water consumption for 1 day at the standard scale of paddy fields in Japan, water consumption can be estimated using the system below non-flowing water surfaces. However, when there is water flow, it will be difficult to estimate water consumption because discharge errors may be cumulative.

KYLIN-V2.0 CODE CALCULATION ABILITY VERIFICATION BASED ON VERA BENCHMAR

Virtual Environmental for Reactor Analysis (VERA) benchmark was released by the Consortium for Advanced Simulation of Light water reactors (CASL) project in 2012. VERA benchmark includes more than ten problems at different levels, from 2D fuel pin case to 2D fuel assembly case to 3D core refuelling case, in addition, reference results and experimental measured data of some problems were provided by CASL. Fuel assemblies in VERA benchmark are various, including control rod assemblies, Pyrex assembly, IFBA assembly, WABA assembly and gadolinium poison assembly, and so on. In this paper, various fuel assembly models in the VERA benchmark have been built by using KYIIN-V2.0 code to verify its calculation ability from 2D fuel pin case to 2D fuel assembly case to 2D 3x3 fuel assembly case, and making a comparative analysis on the reference results in VERA benchmark, as well as the calculation results of the Monte Carlo code RMC. KYLIN-V2.0 is an advanced neutron transport lattice code developed by Nuclear Power Institute of China (NPIC). The subgroup resonance calculation method is used in KYIIN-V2.0 to obtain effective resonance selfshielding cross section, method of modular characteristics (MOC) is adopted to solve the neutron transport equation, and CRAM method and PPC method is adopted to solve the depletion equation. The numerical results show that KYLIN-V2.0 code has the reliable capability of direct heterogeneous calculation of 2D fuel assembly, and the effective multiplication factor, assembly power distribution, rod power distribution and control rod reactivity worths of various fuel assemblies that are calculated by KYLIN-V2.0 are in better agreement with the reference.

Using “Digital Black Hole” to Help Student in Learning Arithmetic and Enhance Students' Interest in Learning

For most students, mathematics is difficult, boring, and not fun. However, mathematics is of great help in terms of academic performance and the development of students' calculation ability and abstract logical thinking. So how to make students like mathematics? How to improve students' mathematical ability? In response to these two doubts, this article designed the following teaching links based on HPM. The research method in this research is descriptive qualitative by describing the lesson plan on arithmetic material. The sample and population were grade 3, Elementary school, in Guilin, China. The results showed that in the real class, it was found that students were very interested in the "Digital Black Hole" game, their mathematical calculation ability and the ability to find problems All have improved a lot. This shows that under the guidance of HPM, eliciting mathematics teaching through mathematics culture can help increase students’ interest in mathematics, and students are also more aware that there are many magical relationships between numbers and numbers, which are worthy of us. Go explore and discover.

Determining the ability of paramedic students to do drug calculations

Introduction Mathematical ability and numeracy skills are fundamental requirements for healthcare professionals undertaking patient management in a range of healthcare settings. The objective of this study was to ascertain the mathematical and drug calculation ability of undergraduate paramedic students at an Australian university in the state of Queensland. Methods This study utilised a cross-sectional study design with a previously used paper-based questionnaire to elicit responses about a range of mathematical calculations. A total of 185 Bachelor of Paramedicine students were eligible for this study. The drug calculations were provided using common pre-hospital management scenarios plus additional basic mathematical calculations. Students had no knowledge of the study before receiving the questionnaire at the end of a lecture. Descriptive and inferential statistics were used to report on demographic information and comparisons. Results There were 139 (75.1%) students who participated. Females comprised 59% of the total students with most students less than 25 years of age. Three (2.2%) students answered all questions correctly, however 56 (40.3%) students scored 50% or less. There were 102 (73.4%) conceptual errors, 111 (79.9%) arithmetical errors, and 29 (20.9%) computational errors. There was no statistically significant difference between females and males for the total of correct answers or the types of calculation errors. Conclusion Results from this study demonstrate that paramedic students from an Australian university struggle to solve basic mathematical calculations unaided in a classroom environment. Universities need to ensure mathematical capability with mastery testing, so they are safe when administering drugs on entering the workforce.