LUVE: A Constructive Learning Approach for Working with Parents

2002 ◽  
Vol 83 (3) ◽  
pp. 275-284 ◽  
Author(s):  
Lucía Santelices Cuevas ◽  
Verónica Astroza

This study examines the application of a didactic teaching strategy called LUVE. Based on a constructivist learning approach, LUVE's purpose is to develop collaborative links between schools and parents, so that parents can improve their daily educational practices with their children and assume a more active role in their children's education. The project took place in Santiago, Chile, and was implemented in two stages. The first stage included a cross-sectional descriptive study with an experimental design, focusing on parents. The second stage involved teachers and parents who applied and carried out the LUVE strategy, The project's content focused on sex education, as this was the topic of interest to parents. The findings indicate that the strategy was a successful experience for the parents.

2021 ◽  
Vol 9 ◽  
Author(s):  
Mai Aldhahri ◽  
Rana Alghamdi

Background: Infection prevention and control measures are critical for the prevention of the spread of COVID-19.Aim: In this study, we aimed to measure and evaluate the level of awareness and knowledge of the prevention, symptoms, and transmission control of COVID-19 before and after quarantine among the residents of Rabigh city and adjacent villages in Saudi Arabia.Methods: A cross-sectional online survey was conducted in two stages: the first stage took place before quarantine and the second stage took place after quarantine. The survey was filled out electronically.Results: A total of 448 participants responded and filled out the questionnaires. Females (73.70%) formed the largest number of participants for both stages. The majority of the participants were <30 years old (50.90%) and had a high education level in various sectors and levels (97.1%). It was noticeable that during the first stage, the participants' awareness of COVID-19 symptoms was not very high: 13.62% did not know about the symptoms. However, by the second stage, awareness about symptoms had increased (9.6%).Conclusion: The residents of Rabigh city and the surrounding villages had good levels of knowledge about COVID-19.


2020 ◽  
Vol 5 (2) ◽  
pp. 122-132
Author(s):  
Lilia Pasca Riani ◽  
Muhammad Roestam Afandi

The objectives of this study are forecast the demand for batik cloth and batik clothing in May 2020 and analyze the accuracy of forecasting demand for batik cloth and batik clothing. This research is a descriptive study with a quantitative approach. Using data by interviews with Batik Fendy Business Managers and actual sales data from November 2019 to April 2020. There are two stages of data analysis that is calculating demand forecasting of batik cloth and batik clothing for May 2020 with the Linear Exponential Smoothing method uses a combination of α 0,8 / β 0,1 and α 0,9 / β 0,2 constant. While the second stage is to analyze the accuracy of the method of demand forecasting using the MAPE Technique. The results of this study are for batik cloth products, predicted sales demand for May 2020 is 316 pieces with 30% MAPE. As for the batik clothing forecasting demand for May 2020 is 432 pieces with a MAPE of 19,8%.


Author(s):  
Alireza Taheri Fard ◽  
Mehdi Kafi ◽  
Hassan Ahmadinia ◽  
Keramat Rahmanian ◽  
Mohsen Rezaeian

Background: Welders are exposed to different chemical damaging factors such as fumes, gases and dusts caused by welding. Some studies have referred to a possible association between occupational exposure and engaging with metabolic syndrome. Metabolic syndrome is a set of factors such as abdominal obesity, high blood pressure (hypertension), high blood sugar, high triglycerides and High-density lipoprotein (HDL) levels that are a fundamental risk factor for diabetes, cardiac disease and stroke. Hence, we accordingly decided to investigate the incidence of metabolic syndrome among welders in Rafsanjan. Methods: This is a cross-sectional descriptive study performed on 78 door and window welders in Rafsanjan in 2018. Data collection was carried out at two stages, first stage was based on a checklist containing demographic information and the second one included laboratory tests, and finally by recording data in SPSS software, quantitative data was reported as “mean ± standard deviation” and qualitative data was reported as “number (percent)”.Results:43 out of 78 welders were tested by anthropometric and blood tests, 29 (67.4%) had central obesity. Of these 29, 15 (51.7%) had at least two of four conditions, indicating their metabolic syndrome. After central obesity, the most common factors among these 43 patients respectively were hypertension (55.8%), high triglyceride (37.2%), and high fasting blood sugar (20.9%).Conclusion: The findings of the present study revealed that about half of the studied welders had at least two metabolic syndrome indices. In future studies, implementation of partnership building strategies and increased collaboration incentives to achieve a larger sample size are recommended.


2020 ◽  
Vol 21 (S6) ◽  
Author(s):  
Wessam Elhefnawy ◽  
Min Li ◽  
Jianxin Wang ◽  
Yaohang Li

Abstract Background One of the most essential problems in structural bioinformatics is protein fold recognition. In this paper, we design a novel deep learning architecture, so-called DeepFrag-k, which identifies fold discriminative features at fragment level to improve the accuracy of protein fold recognition. DeepFrag-k is composed of two stages: the first stage employs a multi-modal Deep Belief Network (DBN) to predict the potential structural fragments given a sequence, represented as a fragment vector, and then the second stage uses a deep convolutional neural network (CNN) to classify the fragment vector into the corresponding fold. Results Our results show that DeepFrag-k yields 92.98% accuracy in predicting the top-100 most popular fragments, which can be used to generate discriminative fragment feature vectors to improve protein fold recognition. Conclusions There is a set of fragments that can serve as structural “keywords” distinguishing between major protein folds. The deep learning architecture in DeepFrag-k is able to accurately identify these fragments as structure features to improve protein fold recognition.


Author(s):  
Ali Zabihi ◽  
Seyedeh Roghayeh Jafarian Amiri ◽  
Mojtaba Qanbari Qalehsari

Context: Hepatitis B is the most prevalent chronic viral infection in humans, which imposes limitations on patients and has many physical, psychological, and social consequences due to its chronic nature. The purpose of this study was to evaluate the physical, psychological, and social challenges of patients with hepatitis B virus (HBV). Evidence Acquisition: First, a set of keywords, including hepatitis B, challenge, physical, psychological, and social, were searched in databases, such as Google Scholar, PubMed, SID, Magiran, and IranMedex. Then, the articles published between 2009 and 2019 were reviewed according to the inclusion and exclusion criteria in two stages – the title and the abstract in the first stage and the whole paper in the second stage. Finally, 34 articles were selected out of 1426 articles. Results: The articles used in this study were as follows: descriptive and cross-sectional studies (10 articles), review studies (9 articles), qualitative studies (9 articles), cohort studies (3 articles), randomized controlled trials, mixed-methods studies, and field studies (one article each). Most studies had considered patients with hepatitis B with an emphasis on physical issues (10 articles), social stigma (7 articles), psychological reactions (5 articles), the discovery of patients’ experiences (3 articles), and discrimination (2 articles). In 25 studies, the samples were patients with HBV. Conclusions: It is necessary to understand and support the patients to treat them properly and help them live with minimum challenges and limitations. Therefore, it is necessary to consider educational and counseling programs to identify different aspects of this disease.


2019 ◽  
Vol 6 (2) ◽  
pp. 116
Author(s):  
Reza Maghfirotun Nisa ◽  
Livana PH ◽  
Triana Arisdiani

ABSTRAKPasien yang menjalani operasi akan muncul perasaan ansietas seperti ketakutan atau perasaan tidak tenang, marah dan kekhawatiran. Ansietas tersebut dapat dilihat dari dukungan keluarga salah satu anggota keluarga sangat berperan aktif dalam mengurangi tingkat ansietas. Penelitian ini betujuan untuk mengetahui hubungan karakateristik dan dukungan keluarga dengan tingkat ansietas pasien pre operasi mayor. Penelitian ini menggunakan metode kuantitatif melalui pendekatan cross sectional, pengumpulan data menggunakan kuesioner dengan 16 pertanyaan tentang dukungan keluarga yang telah dilakukan uji validitas dengan nilai r variabel 0,90, tekhnik sampel menggunakan purposive sampling dengan jumlah sampel167 responden. Penelitian menunjukkan bahwa ada hubungan yang signifikan antara karakteristik dukungan keluarga dengan tingkat ansietas pasien pre operasi mayor dengan nilai p value <0,005. Keluarga disarankan dapat melakukan dukungan terhadap anggota keluarga yang akan dilakukan tindakan operasi.  Kata kunci :Karakteristik, Dukungan Keluarga, Ansietas Pre-operasi THE RELATIONSHIP KARAKATERISTIK AND FAMILY SUPPORT WITH ANXIETY LEVELS OF PATIENTS PRE MAJOR SURGERY ABSTRACTPatients undergoing surgery are afraid of anesthesia, fear of pain and death about ignorance or deformity or other threats to the body image resulting in anxiety, the anxiety can be seen from several characteristics of age, sex, education level, and occupation, so family support of one family member plays an active role in reducing the level of anxiety. This study aims to determine the relationship karakateristik and family support with anxiety levels of patients pre major surgery in RSUD Dr. H. Soewondo Kendal. This research uses quantitative method through cross sectional approach, data collecting using  questionnaires with 16 question about family support which has been done validity test with r value of variable 0,90, the sample technique used purposive sampling with 167 respondents. The results showed that there was a significant relationship between the characteristics of family support with anxiety levels of patients pre major surgery with p value <0.005. Families are advised to support family members for surgery. Keywords: Characteristics, Family Support, Ansietas Pre-operation


2017 ◽  
Vol 10 (26) ◽  
pp. 35-56
Author(s):  
Eyvind Elstad ◽  
Knut-Andreas Christophersen ◽  
Are Turmo

Introduction. The purpose of this article was to explore the influence of parents and teachers on the deep learning approach of pupils by estimating the strength of the relationships between these factors and the motivation, volition and deep learning approach of Norwegian 16-year-olds.Method. Structural equation modeling for cross-sectional survey data was used to estimate the path coefficients. A total of 1,112 students voluntarily participated. The analysis indicated that the teachers’ perceived efforts to influence and stimulate the deep learning approach of the pupils had some effect.Results. Parental efforts in this respect did not appear to have any noticeable influence on the pupils’ motivation, volition or deep learning approach. Teacher pressure was found to influence the motivation and deep learning approach, and teachers can make conscious use of this effect in order to improve the students’ performance.Conclusion. For pupils who lack educational motivation, the teacher has an important function in motivating greater effort with schoolwork and stimulating a more effective deep learning approach. The current study provides new knowledge concerning the influence of teachers and parents on students’ learning efforts.


Author(s):  
Dale E. Bockman ◽  
L. Y. Frank Wu ◽  
Alexander R. Lawton ◽  
Max D. Cooper

B-lymphocytes normally synthesize small amounts of immunoglobulin, some of which is incorporated into the cell membrane where it serves as receptor of antigen. These cells, on contact with specific antigen, proliferate and differentiate to plasma cells which synthesize and secrete large quantities of immunoglobulin. The two stages of differentiation of this cell line (generation of B-lymphocytes and antigen-driven maturation to plasma cells) are clearly separable during ontogeny and in some immune deficiency diseases. The present report describes morphologic aberrations of B-lymphocytes in two diseases in which second stage differentiation is defective.


2020 ◽  
Vol 39 (6) ◽  
pp. 8139-8147
Author(s):  
Ranganathan Arun ◽  
Rangaswamy Balamurugan

In Wireless Sensor Networks (WSN) the energy of Sensor nodes is not certainly sufficient. In order to optimize the endurance of WSN, it is essential to minimize the utilization of energy. Head of group or Cluster Head (CH) is an eminent method to develop the endurance of WSN that aggregates the WSN with higher energy. CH for intra-cluster and inter-cluster communication becomes dependent. For complete, in WSN, the Energy level of CH extends its life of cluster. While evolving cluster algorithms, the complicated job is to identify the energy utilization amount of heterogeneous WSNs. Based on Chaotic Firefly Algorithm CH (CFACH) selection, the formulated work is named “Novel Distributed Entropy Energy-Efficient Clustering Algorithm”, in short, DEEEC for HWSNs. The formulated DEEEC Algorithm, which is a CH, has two main stages. In the first stage, the identification of temporary CHs along with its entropy value is found using the correlative measure of residual and original energy. Along with this, in the clustering algorithm, the rotating epoch and its entropy value must be predicted automatically by its sensor nodes. In the second stage, if any member in the cluster having larger residual energy, shall modify the temporary CHs in the direction of the deciding set. The target of the nodes with large energy has the probability to be CHs which is determined by the above two stages meant for CH selection. The MATLAB is required to simulate the DEEEC Algorithm. The simulated results of the formulated DEEEC Algorithm produce good results with respect to the energy and increased lifetime when it is correlated with the current traditional clustering protocols being used in the Heterogeneous WSNs.


Author(s):  
Fitriah Khoirunnisa ◽  
Friska Septiani Silitonga ◽  
Veri Firmansyah

Penelitian ini bertujuan menganalisis kebutuhan petunjuk praktikum berbasis Keterampilan Proses Sains (KPS) untuk mencapai kemampuan merancang eksperimen pada materi kalor reaksi kalorimetri. Penelitian dilakukan terhadap peserta didik kelas XI SMA Negeri 2 Kota Tanjungpinang. Variabel penelitian mencakup analisis kebutuhan bahan ajar dan analisis kesesuaian Kompetensi Inti (KI) dan Kompetensi Dasar (KD). Jenis penelitian yang dilakukan adalah penelitian deskriptif kualitatif. Tahapan pertama dalam penelitian ini adalah menganalisis kebutuhan bahan ajar dengan cara membandingkan dua petunjuk praktikum yang selama ini telah digunakan di sekolah tersebut, ditinjau dari aspek struktur format penulisan, aspek kreativitas, dan aspek keterampilan proses sains yang terdapat dalam petunjuk praktikum. Sehingga didapatkan kesimpulan bahwa petunjuk praktikum yang selama ini digunakan tidak memberikan kesempatan kepada peserta didiknya untuk merancang eksperimen yang telah ditentukan. Tahapan kedua yaitu menganalisis kesesuaian kompetensi inti dan kompetensi dasar, yang bertujuan untuk menentukan indikator pencapaian kompetensi (IPK) yang akan menjadi acuan dalam mengembangkan petunjuk praktikum berbasis keterampilan proses sains. Dari kedua tahapan yang telah dilakukan maka dapat disimpulkan bahwa peserta didik memerlukan petunjuk praktikum yang mampu mengonstruksi pikiran dan mengaktifkan kinerja mereka, sehingga pendekatan Keterampilan Proses Sains menjadi pilihan dalam mengembangkan petunjuk praktikum yang sesuai dengan karakteristik kurikulum 2013.   This research aims to analyze the needs of Science Process Skills based Practical Instruction to achieve the ability to design experiments on the calor of reaction. This research was done to the students of class XI SMA Negeri 2 Tanjungpinang City. Research Variable includes the analysis of the needs of the learning materials and analysis of the suitability of the Core Competence (KI) and Basic Competence (KD). The type of research conducted is descriptive qualitative research. The first stages in this research is to analyze the needs of learning materials by comparing two practical instructions that had been implementing in the school, from the aspects of the structure of writing format, creativity, and science process skills embedded in practical instructions. The conclusion of this research that current practical instructions does not give an opportunity to the participants to design determined experiments. The second stage, namely analyzing the suitability of core competence and basic competence, which aims to determine the indicators of achievement of the competencies (GPA) which will be a reference in developing process skills-based teaching instructions science. Of the two stages that has been done then it can be concluded that learners need practical instructions to construct  thinking and and their performance, so the Science Process Skills approach is an option in developing practical instruction suitable for the characteristics of the curriculum of 2013.


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