Personalized System of Instruction Models Using “POJOK” Digital Module Based Toward Basket Ball Learning Outcome

The development of technology demands a lot of changes in the world of education, as well as in physical education learning so that physical education teachers in schools must be able to choose and apply learning models that can be juxtaposed with technology-based learning media, therefore the purpose of this study is to determine the effect of learning models. personalized system of instruction (PSI) based on the application of the electoral module "PJOK" on basketball learning outcomes. To achieve these objectives, the research method used is an experimental method with a one group pre-test-post-test design. The data source of this research involved in this study, namely 120 students aged 13-15 years at SMPN 8 Cimahi with purposive random sampling technique. The research instrument used was a basketball basic movement skills test instrument (ITKG BB) for ages 13-15. The data analysis used was paired simple t-test and the results of this study obtained a t-count value of 61.87 with a significance level of 0.00. Looking at the results of data analysis, the conclusion of this study is that there is an influence of the personalized system of instruction (PSI) learning model based on the application of the electoral module "PJOK" on basketball learning outcomes.Key words: Personalized System of Instructioned models (PSI), E-Modul, Basket Ball

Mobile Apps Based on Keller Personalized System of Instruction to Promote English Vocabulary Acquisition

Mobile learning (or m-learning) is the ability to learn anywhere and at any time using a portable electronic device. Mobile technologies gradually integrate into learnedness. Mobile devices and apps are changing the way learners acquires English. This study aims to develop a mobile Apps based on the Keller Plan Personalized system of instruction (PSI) theory called JuJu English Vocabulary to improve learners’ vocabulary acquisition. The mobile Apps was developed using ADDIE instructional design model. The developed Apps was investigated using a quasi-experimental research design among 60 students separated into two(2) groups: control and experimental groups. Data were analysed using SPSS software. The outcome shows a significant difference between Post-test experimental (using the mobile app) and the control group (traditional learning). This Mobile Apps design allows personalised growth among the experimental group of students in terms of their vocabulary acquisition. The design mimicking a game strategy did help increase their interest to enjoy the learning process.

A Personalized Medical Decision Support System Based on Explainable Machine Learning Algorithms and ECC Features: Data from the Real World

Artificial intelligence can help physicians improve the accuracy of breast cancer diagnosis. However, the effectiveness of AI applications is limited by doctors’ adoption of the results recommended by the personalized medical decision support system. Our primary purpose is to study the impact of external case characteristics (ECC) on the effectiveness of the personalized medical decision support system for breast cancer assisted diagnosis (PMDSS-BCAD) in making accurate recommendations. Therefore, we designed a novel comprehensive framework for case-based reasoning (CBR) that takes the impact of external features of cases into account, made use of the naive Bayes and k-nearest neighbor (KNN) algorithms (CBR-ECC), and developed a PMDSS-BCAD system by using the CBR-ECC model and external features as system components. Under the new case-based reasoning framework, the accuracy of the combined model of naive Bayes and KNN with an optimal K value of 2 is 99.40%. Moreover, in a real hospital scenario, users rated the PMDSS-BCAD system, which takes into account the external characteristics of the case, better than the original personalized system. These results suggest that PMDSS-BCD can not only provide doctors with more personalized and accurate results for auxiliary diagnosis, but also improve doctors’ trust in the results, so as to encourage doctors to adopt the results recommended by the personalized system.

Pengaruh Model Pembelajaran Personalized System of Instruction (PSI) dalam Meningkatkan Aktivitas dan Hasil Belajar Matematika Siswa SMA

This research is motivated by the low activity and learning outcomes of students in one of the public high schools in Bima City. The purpose of this research is to increase students' activities and learning outcomes of mathematics by applying Personalized System of Instruction (PSI) learning. The type of research used in this study is quasi-experimental, it is said that because in this design the researcher cannot control all external variables, namely external factors that are not examined and become a nuisance so that it affects the course of the experiment. The results of this study indicate that all aspects that are assessed appear during the learning process. This is complemented by the results of statistical tests with the results of tcount greater than ttable, namely 2.86 > 1.67 with the acquisition of the average value of learning outcomes in the experimental class which is greater than the control class, which is 65.8 > 53.9. This means that the Personalized System of Instruction (PSI) learning model gives better results than conventional learning. Thus, the steps of the PSI learning model have an influence in increasing students' activities and learning outcomes in mathematics.

PIV measurement of a jet from a gasper in an aircraft cabin mockup

The air conditioning system of most commercial aircrafts consists of a main system, which operates on the principle of mix ventilation, and a personalized system called gasper. Field studies show that passengers prefer to keep gasper parcially open or redirect it away from the head due to the discomfort. Therefore, there is a demand to characterize the flow of this device for future improvements. In this way, the present work aims to experimentally study the gasper jet inside a real cabin mockup using PIV. The results indicate that passengers are subjected to a high speed jet and the air in their breathing zone is mostly supplied by the mixed ventilation system due to the large entrainment ratio.

Specialties of course of early and late preeclampsia in women in Vinnitsya region

Annotation. Preeclampsia is one of the leading causes of maternal and perinatal death, and it complicates from 5 to 8% of all pregnancies. The aim of the research was to show the differences in anamnesis, diagnostics and prognosis, in groups of pregnant with hypertensive disorders. Retrospective investigation included 138 delivery histories and perinatal record cards from Vinnitsya Municipal Clinical Maternity hospital №1, in a period from 2016 till 2018. Women were divided into two investigated groups: I – 36 women with early preeclampsia, and II group – 52 women with late preeclampsia, and a control group of 50 women. The structure of somatic and gynecological diseases of pregnant women was studied, the severity of preeclampsia and the condition of the newborn were assessed according to the Apgar scale. Statistical processing of the obtained results was performed by odds ratio, its standard error and 95% confidence interval were calculated according to D. G. Altman (1991). It is established that in women with obesity or excessive body weight (every second women in groups), and those who had cardiovascular disorders (twice more often with late preeclampsia) developed preeclampsia more often, comparing to control group. All cases of antenatal and early neonatal death of newborn were registered in a group with early preeclampsia, which points out on heavier flow of the disease and different pathogenesis. Cases of early pregnancy toxemia and edema of pregnant occurred twice more often, in group with early preeclampsia, and ran more heavy (up to the development of ascites), comparing to the second group. Debut of symptoms was earlier, that requires earlier prophylaxis (since week 12). Fetal intrauterine growth retardation, reversible and high resistant blood stream during ultrasound were marked only in group with EP. In future, this research together with pathohistological investigation of placentas and immunohistochemical research of those tissues, can underlie predictive and preventive personalized system for early and late preeclampsia.

TOWARDS EVOLVING ENGINEERING EDUCATION BASED ON SYMBIOTIC COGNITIVE DIGITAL TWINS

In the long past, professional education lasted for a lifetime. Since then, the industrial revolutions haveaccelerated the pace of knowledge doubling from a lifetime to months, and shortened the half-life of pertinent knowledge. Those changes have altered the working environment of professionals who have to move between many jobs in their life. Are we capable of adjusting to that pace? How can we learn all that is needed in the old Prussian model of education based on one-program-fits-all? We should revamp theeducational system at the core. The new system must be personalized to match the diversity of individual abilities and styles of learning. The new system must also be based not only on the body of knowledge (BoK), but body of experience (BoX) and body of humanity (BoH). The new personalized system oflearning must be sufficiently agile and interactive so that it would become evolving in its symbiosis with humans. For that to happen, we must coexist with symbiotic autonomous cognitive systems, specifically involving digital twins. This paper addresses some aspects of this view.