The aim of the study is to determine the attitudes of preschool teachers towards using technological tools and to analyze it in terms of different variables. The research was conducted based on descriptive study model. Working group was consisted of 103 teachers working at kindergartens in city center of Kırsehir and Malatya in the fall semester of 2014-2015 academic years. A personal information form created by researchers and "The Scale of Attitudes towards Using Technological Tools in Preschool Education "developed by Kol (2012) were used to collect data. Frequency, percentage, mean and standard deviation were used in order to analyze the data T-test for independent samples and one-way variance analysis were used in order to determine the relationships between variables. As a result of the study, the teachers showed a very positive attitude towards using technological tools. It was found out that preschool education graduate teachers showed a more positive attitudes towards using technological tools as comparing with the distance education graduate preschool teachers.
his study aimes to investigate the efects of the parent education programmes on the relationship between the parents, who had 5-7 year-old children, and their kids. he parent education programmes are about developmental stages of children, spending eicient time with children, communication with children, peer relations, child behavior problems and ways of coping with those, parents' attitudes, developing child's behavior and habit formation. he population of the study is consisted of parents of ive to seven year old children who were at the kindergartens and irst graders ailiated to the Ministry of National Education in Malatya. In order to identify the efects of parent education on parent-child relationship, the pretest-posttest experimental design was used. T-test was used in order to determine the diference between the control group and the experimental groups and to compare the pre-test and post test scores. As a result of the study, the parent education makes parents know their children better and has a positive efect on their communication with their children.
Parkinson's disease (PD) is a neurological disease that progresses further over time. Individuals suffering from this condition have a deficiency of dopamine, a neurotransmitter found in the brain's nerve cells that is critical for coordinating body movement. In this study, a new approach is proposed for the diagnosis of PD. Common Average Reference (CAR), Median Common Average Reference (MCAR), and Weighted Common Average Reference (WCAR) methods were primarily utilized to eliminate noise from the multichannel recorded walking signals in the resulting PhysioNet dataset. Statistical features were obtained from the clean walking signals following the Local Binary Pattern (LBP) transformation application. Logistic Regression (LR), Random Forest (RF), and K-nearest neighbor (Knn) methods were utilized in the classification stage. A high success rate with a value of 92.96% was observed with Knn. It was also determined that signals on which foot and the signals obtained from which point of the sole of the foot were effective in PD diagnosis in the study. In light of the findings, it was observed that noise reduction methods increased the success rate of PD diagnosis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.