Educational Data Mining: The Analysis of the Factors Affecting Science Instruction by Clustering Analysis

Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD) countries participating in the PISA 2015 test and sampled by systematic sampling method are obtained by K-Means Clustering and Two-Step Cluster Analysis using the factor scores and PISA science literacy average scores. It is thought that the study is of great importance in terms of dividing individuals into clusters according to science instruction methods and the mean of plausible values and having an idea about how each cluster is defined. As a result of the K-means cluster analysis, it was determined that the input variable with the highest level of importance in the formation of the first and third clusters in which the students with the highest scores were included was teacher-directed science instruction, and after this variable, the input variable with the highest level of importance was the perceived feedback from science teachers. Within the scope of the Two-Step Clustering Analysis, it was determined that teacher-directed science instruction has the most importance in terms of the decomposition of clusters, followed by adaptive instruction in science lessons in terms of importance level

A Phenomenological Study on the Effectiveness of Curriculum and Course Information Packages in the Bologna Process

The aim of the present study is to analyze the School of Education and Department of Educational Sciences' curricula (program and course information packages) with respect to the Bologna process. Designed in line with phenomenology, the study focuses on the phenomenon of "the effectiveness of curricula with respect to the Bologna process". The data were collected by interviewing two separate focus groups of students and lecturers, and analyzed by using Miles and Huberman's stages. The results of the three research questions are explained in terms of preparation, implementation, follow-up and revision, and quality assurance. The results are as follows: Considering the positive aspects of the process, both lecturers and students agreed that the process eased access to information and course selection with the help of elective courses; however, all participants complained about the lack of information flow, unclear tasks and process, disbelief in the importance of the process, resistance to the preparation process, unfair work distribution, and the mismatch between competencies and courses. Lecturers also mentioned problems related to the revision and feedback processes

Development Of Exposure To English Scale And Investigation Of Exposure Effect To Achievement

An absence of a scale for measuring exposure to the English language, which has a significant effect on English achievement, was detected in the literature. For this reason, in this study, a six-dimensional scale was developed to detect the level of English language exposure and its construct validity was tested. The factor structure of the scale was determined by exploratory factor analysis with the data collected from 784 university students, 726 of whom are undergraduate and 58 of whom are Master's and Ph. D. students. Confirmation of the factor structure of the scale was carried out with a measurement model specified in a structural equation model. A structural equation modeling study was performed along with 233 students from English preparation classes at a university. In the structural model, the effect of exposure to English on the students' scores received from writing in English, speaking in English and the total score (grammar, vocabulary, reading and listening scores) was examined. It was found that exposure to English has a significant effect on all of the three variables. Exposure to English explained the variance of the speaking variable most, while that effect is the least for the writing variable.Wo

Investigation Of The Variables Affecting The Students' Science Achievement With Multilevel Regression Model

This study investigated the variables affecting the science achievement of eighth-grade students by multi-level regression analysis. The variables included in this research were students' attitudes, confidence level, value, engagement in science, socioeconomic status, school type, school region, and teacher experience. The study group consisted of 1049 students and 41 teachers. In the first research question, differences in students' science achievement scores among their schools were investigated. According to the results, the students' achievements differed among their schools. Approximately 16.3% of the differences observed in science achievement were stem from the differences among schools, and 83.6% stem from the differences among students. In the second research question, student characteristics that explain the differences among the science achievements of the schools have been examined. Students' socioeconomic level, attitude, and confidence level were only variables that have statistically significant relationship with achievement. Socioeconomic and confidence level variables have a positive effect on achievement, but attitude variable has a negative effect on achievement. In the third research question, student and school characteristics that affect science achievement have been examined simultaneously. The school characteristics that have been included in the regression model were teacher experience, region, and school type. It was determined that none of the regression coefficients for the school characteristics variables were statistically significant in the regression model.Wo

Clinical findings of patients with cystic fibrosis according to newborn screening results.

Background Cystic fibrosis (CF) is a lethal recessive genetic disease caused by loss of function associated with mutations in the CF trans-membrane conductance regulator. It is highly prevalent (approximately 1 in 3,500) in Caucasians. The aim of this study was to compare demographic and clinical features, diagnostic tests, treatments, and complications of patients with CF whose newborn screening (NBS) with twice-repeated immune reactive trypsinogen testing was positive, normal, and not performed. Methods In this study, 359 of all 1,488 CF patients recorded in the CF Registry of Turkey in 2018, who had been born through the process of NBS, were evaluated. Demographic and clinical features were compared in patients diagnosed with positive NBS (Group 1), normal (Group 2), or without NBS (Group 3). Results In Group 1, there were 299 patients, in Group 2, there were 40 patients, and in Group 3, there were 20 patients. Among all patients, the median age at diagnosis was 0.17 years. The median age at diagnosis was higher in Groups 2 and 3 than in Group 1 (P = 0.001). Fecal elastase results were higher in Group 2 (P = 0.033). The weight z-score was lower and chronic Staphylococcus aureus infection was more common in Group 3 (P = 0.017, P = 0.004, respectively). Conclusions Frequency of growth retardation and chronic S. aureus infection can be reduced with an early diagnosis using NBS. In the presence of clinical suspicion in patients with normal NBS, further analyses such as genetic testing should be performed, especially to prevent missing patients with severe mutations

Clinical features and accompanying findings of Pseudo-Bartter Syndrome in cystic fibrosis

Background Pseudo-Bartter syndrome (PBS) is a rare complication of cystic fibrosis (CF) and there are limited data in the literature about it. We aimed to compare clinical features and accompanying findings of patients with PBS in a large patient population

Cystic fibrosis in Turkey: First data from the national registry.

Background Cystic fibrosis (CF) care has been implemented in Turkey for a long time; however, there had been no patient registry. For this purpose, the Turkish National CF Registry was established. We present the first results of registry using data collected in 2017. Methods The data were collected using a data-entry software system, which was accessed from the internet. Demographic and annually recorded data consisted of 15 and 79 variables, respectively. Results There were 1170 patients registered from 23 centers; the estimated coverage rate was 30%. The median age at diagnosis was 1.7 years (median current age: 7.3 years); 51 (4.6%) patients were aged over 18 years. Among 293 patients who were under 3 years of age, 240 patients (81.9%) were diagnosed through newborn screening. Meconium ileus was detected in 65 (5.5%) patients. Genotyping was performed in 978 (87.4%) patients and 246 (25.2%) patients' mutations were unidentified. The most common mutation was deltaF508 with an allelic frequency of 28%, followed by N1303K (4.9%). The median FEV1% predicted was 86. Chronic colonization with Pseudomonas aeruginosa was seen in 245 patients. The most common complication was pseudo-Bartter syndrome in 120 patients. The median age of death was 13.5 years in a total of 15 patients. Conclusions Low coverage rate, lack of genotyping, unidentified mutations, and missing data of lung functions are some of our greatest challenges. Including data of all centers and reducing missing data will provide more accurate data and help to improve the CF care in Turkey in the future

Patients eligible for modulator drugs: Data from cystic fibrosis registry of Turkey

Background A better understanding of cystic fibrosis transmembrane conductance regulator biology has led to the development of modulator drugs such as ivacaftor, lumacaftor-ivacaftor, tezacaftor-ivacaftor, and elexacaftor-tezacaftor-ivacaftor. This cross-sectional study evaluated cystic fibrosis (CF) patients eligible for modulator drugs