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The Effects of the Horticulture-Mathematics Integration Program on Mathematical Attitude and Money Calculating Ability of Students with Intellectual Disabilities

  • Yun, Suk Young;Nam, Yu Jung;Kwon, Yong Il;Choi, Byung Jin
    • Journal of People, Plants, and Environment
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    • v.23 no.3
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    • pp.321-332
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    • 2020
  • Background and objective: The concept of 'money' in the numbers and operations domain is a fundamentally necessary domain of economic life. This study was conducted to examine the effects of a horticulture-mathematics integration program on mathematical attitude and money calculating ability of high school students with intellectual disabilities. Methods: We analyzed the changes in the mathematical attitude and money calculating ability of students with mild intellectual disabilities in S special school in the city of D, Republic of Korea, with 12 students in the control group and 12 students in the experimental group, from August 27 to October 29, 2019. Results: The results of the comparison showed no statistically significant changes in the three items of mathematical attitude for the control group, while the experimental group, which took part in the horticulture-mathematics integration program, showed statistically significant differences across all three items, such as self-concept about the subject (p = .003), attitude toward the subject (p = .004), and study habit related to the subject (p = .012). The horticulture-mathematics integration program, which was developed by integrating horticultural activities and the mathematics curriculum, used plants and horticultural activities to provide students with positive experiences in mathematics. These included the sense of closeness, curiosity, interest, attention, and enjoyment, leading to positive changes in mathematical attitude. In terms of money calculating ability, both the control group and experimental group showed statistical differences across the three items, but the experimental group showed greater degrees of increase, 15.0 or more, in the scores compared to the control group. Conclusion: These results suggest that utilizing horticultural materials as a part of purchase learning programs with elements of money calculation chapters in the mathematics curriculum could lead to the improvement of students' ability in money calculation. These positive changes are thought to be related to the high degrees of interest in horticulture among students, which led to active participation in the program and enabled the simple and repeated purchase activities in the program to generate positive changes in the money calculation ability of the students.

Effects of mining activities on Nano-soil management using artificial intelligence models of ANN and ELM

  • Liu, Qi;Peng, Kang;Zeng, Jie;Marzouki, Riadh;Majdi, Ali;Jan, Amin;Salameh, Anas A.;Assilzadeh, Hamid
    • Advances in nano research
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    • v.12 no.6
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    • pp.549-566
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    • 2022
  • Mining of ore minerals (sfalerite, cinnabar, and chalcopyrite) from the old mine has led in significant environmental effects as contamination of soils and plants and acidification of water. Also, nanoparticles (NP) have obtained global importance because of their widespread usage in daily life, unique properties, and rapid development in the field of nanotechnology. Regarding their usage in various fields, it is suggested that soil is the final environmental sink for NPs. Nanoparticles with excessive reactivity and deliverability may be carried out as amendments to enhance soil quality, mitigate soil contaminations, make certain secure land-software of the traditional change substances and enhance soil erosion control. Meanwhile, there's no record on the usage of Nano superior substances for mine soil reclamation. In this study, five soil specimens have been tested at 4 sites inside the region of mine (<100 m) to study zeolites, and iron sulfide nanoparticles. Also, through using Artificial Neural Network (ANN) and Extreme Learning Machine (ELM), this study has tried to appropriately estimate the mechanical properties of soil under the effect of these Nano particles. Considering the RMSE and R2 values, Zeolite Nano materials could enhance the mine soil fine through increasing the clay-silt fractions, increasing the water holding capacity, removing toxins and improving nutrient levels. Also, adding iron sulfide minerals to the soils would possibly exacerbate the soil acidity problems at a mining site.

Efficient influence of cross section shape on the mechanical and economic properties of concrete canvas and CFRP reinforced columns management using metaheuristic optimization algorithms

  • Ge, Genwang;Liu, Yingzi;Al-Tamimi, Haneen M.;Pourrostam, Towhid;Zhang, Xian;Ali, H. Elhosiny;Jan, Amin;Salameh, Anas A.
    • Computers and Concrete
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    • v.29 no.6
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    • pp.375-391
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    • 2022
  • This paper examined the impact of the cross-sectional structure on the structural results under different loading conditions of reinforced concrete (RC) members' management limited in Carbon Fiber Reinforced Polymers (CFRP). The mechanical properties of CFRC was investigated, then, totally 32 samples were examined. Test parameters included the cross-sectional shape as square, rectangular and circular with two various aspect rates and loading statues. The loading involved concentrated loading, eccentric loading with a ratio of 0.46 to 0.6 and pure bending. The results of the test revealed that the CFRP increased ductility and load during concentrated processing. A cross sectional shape from 23 to 44 percent was increased in load capacity and from 250 to 350 percent increase in axial deformation in rectangular and circular sections respectively, affecting greatly the accomplishment of load capacity and ductility of the concentrated members. Two Artificial Intelligence Models as Extreme Learning Machine (ELM) and Particle Swarm Optimization (PSO) were used to estimating the tensile and flexural strength of specimen. On the basis of the performance from RMSE and RSQR, C-Shape CFRC was greater tensile and flexural strength than any other FRP composite design. Because of the mechanical anchorage into the matrix, C-shaped CFRCC was noted to have greater fiber-matrix interfacial adhesive strength. However, with the increase of the aspect ratio and fiber volume fraction, the compressive strength of CFRCC was reduced. This possibly was due to the fact that during the blending of each fiber, the volume of air input was increased. In addition, by adding silica fumed to composites, the tensile and flexural strength of CFRCC is greatly improved.

Predicting lane speeds from link speeds by using neural networks

  • Pyun, Dong hyun;Pyo, Changwoo
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.69-75
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    • 2022
  • In this paper, a method for predicting the speed for each lane from the link speed using an artificial neural network is presented to increase the accuracy of predicting the required time of a driving route. The time required for passing through a link is observed differently depending on the direction of going straight, turning right, or turning left at the intersection of the end of the link. Therefore, it is necessary to predict the speed according to the vehicle's traveling direction. Data required for learning and verification were constructed by refining the data measured at the Gongpyeong intersection of Gukchaebosang-ro in Daegu Metropolitan City and four adjacent intersections around it. Five neural network models were used. In addition, error analysis of the prediction was performed to select a neural network experimentally suitable for the research purpose. Experimental results showed that the error in the estimation of the time required for each lane decreased by 17.4% for the straight lane, 4.4% for the right-turn lane, and 3.9% for the left-turn lane. This experiment is the result of analyzing only one link. If the entire pathway is tested, the effect is expected to be greater.

The influence of nursing students' perfectionism tendency and perception of instructor caring on incivility experienced by nursing students (간호대학생의 완벽주의 성향과 임상실습현장지도자의 돌봄에 대한 지각이 임상실습 중 경험한 무례함에 미치는 영향)

  • Lee, Eun Nam;Kim, Na Geong
    • The Journal of Korean Academic Society of Nursing Education
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    • v.27 no.4
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    • pp.436-446
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    • 2021
  • Purpose: The purpose of this study was to identify the influences of nursing students perfectionism tendencies and their perception of instructor caring on incivility experienced by nursing students during clinical practice. Methods: A descriptive correlational study was conducted. The participants were 244 nursing students from five universities in B city. Data were analyzed using an independent t-test, ANOVA, Pearson's correlation coefficient, Scheffé test and a stepwise regression analysis. Results: The mean score for incivility in nursing students was 2.61 out of 5 points. The explanatory power of the model for incivility was in nursing students 52.8% of the variance in training in student's university hospital (𝛽=-.15, p=.002), total period of clinical practice (𝛽=.17, p<.001), confidence through caring (𝛽=-.23, p<.001), respectful sharing (𝛽=-.15, p=.005), supportive learning climate (𝛽=-.15, p=.005), self-oriented perfectionism (𝛽=.14, p=.004), and socially prescribed perfectionism (𝛽=.18, p<.001). Conclusion: The research results suggest that instructor caring is an important factor in regard to the incivility of nursing students. Organizational efforts and institutional devices will be needed to improve the incivility in clinical environments. By communicating with students and showing them respect, clinical nurses will help nursing students cope with incivility and recognize the clinical practice education environment positively.

Prediction of pollution loads in agricultural reservoirs using LSTM algorithm: case study of reservoirs in Nonsan City

  • Heesung Lim;Hyunuk An;Gyeongsuk Choi;Jaenam Lee;Jongwon Do
    • Korean Journal of Agricultural Science
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    • v.49 no.2
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    • pp.193-202
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    • 2022
  • The recurrent neural network (RNN) algorithm has been widely used in water-related research areas, such as water level predictions and water quality predictions, due to its excellent time series learning capabilities. However, studies on water quality predictions using RNN algorithms are limited because of the scarcity of water quality data. Therefore, most previous studies related to water quality predictions were based on monthly predictions. In this study, the quality of the water in a reservoir in Nonsan, Chungcheongnam-do Republic of Korea was predicted using the RNN-LSTM algorithm. The study was conducted after constructing data that could then be, linearly interpolated as daily data. In this study, we attempt to predict the water quality on the 7th, 15th, 30th, 45th and 60th days instead of making daily predictions of water quality factors. For daily predictions, linear interpolated daily water quality data and daily weather data (rainfall, average temperature, and average wind speed) were used. The results of predicting water quality concentrations (chemical oxygen demand [COD], dissolved oxygen [DO], suspended solid [SS], total nitrogen [T-N], total phosphorus [TP]) through the LSTM algorithm indicated that the predictive value was high on the 7th and 15th days. In the 30th day predictions, the COD and DO items showed R2 that exceeded 0.6 at all points, whereas the SS, T-N, and T-P items showed differences depending on the factor being assessed. In the 45th day predictions, it was found that the accuracy of all water quality predictions except for the DO item was sharply lowered.

Accurate prediction of lane speeds by using neural network

  • Dong hyun Pyun;Changwoo Pyo
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.5
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    • pp.9-15
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    • 2023
  • In this paper, we propose a method predicting the speed of each lane from the link speed using a neural network. We took three measures for configuring learning data to increase prediction accuracy. The first one is to expand the spatial range of the data source by including 14 links connected to the beginning and end points of the link. We also increased the time interval from 07:00 to 22:00 and included the data generation time in the feature data. Finally, we marked weekdays and holidays. Results of experiments showed that the speed error was reduced by 21.9% from 6.4 km/h to 5.0 km/h for straight lane, by 12.9% from 8.5 km/h to 7.4 km/h for right turns, and by 5.7% from 8.7 km/h to 8.2 km/h for left-turns. As a secondary result, we confirmed that the prediction accuracy of each lane was high for city roads when the traffic flow was congested. The feature of the proposed method is that it predicts traffic conditions for each lane improving the accuracy of prediction.

The effects of a web-based senescence preparation program for a middle-aged group (중년층을 위한 웹기반 노년기 준비프로그램의 학습효과)

  • Jung, Young-Mi
    • 한국노년학
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    • v.29 no.3
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    • pp.1025-1041
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    • 2009
  • The purpose of this study is to evaluate the effects of a web-based senescence preparation program for the provision of information and education on aging. A non-equivalent control group pretest-posttest design was used. The subjects were 70 middle-aged adults (experimental group: 36, control group: 34) living in Daegu city. The experimental group participated in a web-based senescence preparation program for 10 weeks, where 10 subjects were covered (5 physical, 3 mental/psychological, and 2 social/environmental). As compared to the control group, the knowledge of the experimental group increased significantly, and there was a significant change in their attitudes toward the elderly and old age plans. These results suggest that a web-based senescence preparation program can predict people's old age and help in their preparation. Further, this program is expected to offer individualized learning opportunities to many learners in various settings.

Increase in dental hygienists' competency and self-directed capacity after capstone design course on community dental hygiene (캡스톤 디자인 지역사회치위생학 수업이 치과위생사 역량 및 자기 주도력 증가에 미치는 효과)

  • Seon-Ju Sim;Sun-Mi Lee
    • Journal of Korean society of Dental Hygiene
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    • v.24 no.2
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    • pp.99-108
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    • 2024
  • Objectives: This study aimed to verify the effect on students' competency and self-directed capacity after a capstone design teaching method with community dental hygiene class. Methods: The study participants were 34 dental hygiene students taking a 4-year community dental hygiene course at a university located in City C. The research tool consisted of 52 questions on major competency and 20 questions on self-directed capacity. Results: After the capstone design class, overall dental hygienists' competency increased (p<0.05), and competencies of clinical dental hygiene and community health promotion showed a high increase (p<0.001). As a result of analyzing the increase in dental hygienists' competency according to self-directed learning ability, the group with low self-directed capacity showed high improvement in clinical dental hygiene competency and community oral health promotion competency. Conclusions: This study confirmed that the capstone design course in community dental hygiene improved students' competency and self-directed capacity, and suggests that it is an excellent teaching method for training competencies required for future society.

A Study on The Mediating Effect of Cognitive Flexibility on Academic Stress and Subjective Happiness of Nursing Students (간호대학생의 학업 스트레스와 주관적 행복감: 인지적 유연성의 매개효과)

  • JI YEONG NO;EUN JAE KIM
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.1-9
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    • 2024
  • The purpose of this study was to identify the degree of academic stress, subjective happiness, and cognitive flexibility of nursing students, and to identify the mediating effect of cognitive flexibility between learning stress and subjective happiness. The subject of the study was 186 nursing students from a university in J City. The data collection period was from October 4 to October 23, 2023, and the data were analyzed using SPSS 23.0. The results of the study showed a significant correlation between academic stress, cognitive flexibility, and subjective happiness among nursing students, and it was found that cognitive flexibility partially mediated the relationship between academic stress and subjective happiness. Therefore, in order to improve the subjective well-being of nursing students, it is necessary to develop and apply programs that can reduce academic stress and increase cognitive flexibility.