The Attitude of Undergraduates Towards Computer-based English Language Exams: A Case Study of An-Najah National University, Palestine

This paper examines the attitudes of undergraduates at An-Najah National University towards computer-based English language exams. The study adopts both quantitative and qualitative methods. Data was collected from a paper-based group-administrated questionnaire totalling 27 items and a focus group discussion. The population of this study consisted of 2021 undergraduates who were taking an English language core requirement course (English Language Course I) during Spring Semester 2016/2017. A simple random sample of 513 undergraduates was selected from all of the 49 classes of the course to fill in the questionnaire. Nine students were randomly chosen to participate in the focus group discussion. The results reveal that while the undergraduates at An-Najah National University had a positive attitude towards computer-based English language exams, they preferred paper-based to computer-based exams. This initial study recommends providing undergraduates with adequate training in computer-based exams, and it offers some suggestions for improving their experience. It paves the way for further research to find out whether the students’ attitude towards computer-based English language exams affects their performance

A School-Based Measure of Culturally Responsive Practices

Acknowledgements: The author wish to acknowledge the support and contributions of Alison Gilmore, Denise Quinlan, and NMSSA project team and thank all principals, teachers, and students who participated in the 2014 NMSSA study. Funding: The National Monitoring Study of Student Achievement (NMSSA) project is funded by the Ministry of Education, New Zealand. Copyright: © 2017 Asil. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Peer reviewedPublisher PD

The media played an important role in Recep Tayyip Erdoğan’s presidential election victory in Turkey

Turkey held the first direct presidential elections in its history on 10 August, with the country’s prime minister, Recep Tayyip Erdoğan, winning enough support in the first round of voting to secure the presidency. Asli Tunc argues that while Erdoğan undoubtedly has widespread support across the country, the role of the media was nevertheless important in securing his victory in the election. She notes that the key focus for Erdoğan will now be to increase the relatively limited powers assigned to the president

Sexual intelligence training effect on marital sexual function

Background and aims: Sexual intelligence is one of the new theories in post-modern world that responds to many complicated questions in sexual relationships area. The aim of the present research was to determine sexual intelligence education effect on sexual function marital referred to medical-hygienic centers of Shahrekord in 2013. Methods: This study is of semi-experimental type having 2 groups of experimental and control. Research sample include couples referred to medical-hygienic centers of Shahrekord that 20 couples attracted voluntarily for education and after pre-test divided randomly into 2 groups. Measurement tools include 2 questionnaires of sexual function of women (FSFI), sexual function of men(IIEP). Finally, data were analyzed by variance analysis of replicated measurements statistically. Results: Results indicated positive effect of sexual intelligence education on marital sexual function (P<0.001), sexual function of women (P<0.001), and sexual function of men (P<0.001). Conclusion: According to the results, intelligence education effect on sexual function had positive effect and the claim of theorists of sexual intelligence based on its performance for all cultures is confirmed

Respon Pertumbuhan Dan Produksi Sawi ( Brassica Juncea L ) Terhadap Pemberian Urine Kelinci Dan Pupuk Guano

Farm waste recycling have a role in prevent cause of environment pollute, and in other side canincrease of plant production. One thing which real enough that a lot of farm waste can changebecame organic fertilizer. This reasearch is proposed to find out effect of growth and productionresponse of mustard ( Brassica juncea L. ) as guano and rabbit urine given. The research startedfrom november 2011 until january 2012. The design use randomized block design factorial with 2aspect. The first aspect is guano consist of four stages those are G0 ( 0 g/plant ), G1 ( 4 g/plant ), G2( 8 g/plant ), G3 ( 12 g/plant ). The second factor is rabbit urine consist four stages those are U0 ( 0ml/L water ), U1 ( 20 ml/L water ), U2 ( 40 ml/L water ), U3 ( 60 ml/L water ). Guano givenperform real effect to plant height, number of leaf, leaf area, fresh weight per plant, dry weight perplant, production per plot, but not gave any influenced to production per hectare and harvest index.Rabbit urine given perform real effect to plant height, number of leaf, leaf area, fresh weight perplant, dry weight per plant, production per plot, but not gave any influenced to plant height at 2MST, number of leaf 2 MST, production per hectare and harvest index. The interaction betweenboth aspect influenced on plant fresh weight, dry weight, production per plot but not gave anyinfluenced to plant height, number of leaf, production per hectare and harvest index

The Factors That Affect Undergraduates’ Attitudes Towards Computer-Based English Language Exams: A Case Study of An-Najah National University, Palestine

This paper investigates the impact of undergraduates’ gender, major, academic year level, computer skills, and level of English on their attitude towards computer-based English language exams at An-Najah National University. A simple random sample of 312 females and 201 males were chosen from all of the 49 classes of an English language core requirement course (English Language Course I) to fill in a paper-based group-administrated questionnaire consisting of 27 items. Five females and four males were randomly selected to participate in a focus group discussion. The data collected from the questionnaire was statistically analysed using the Statistical Package for the Social Sciences (SPSS), and a probability of p&lt;0.05 was considered statistically significant. The data collected from the discussion was analysed thematically. While the statistical analyses revealed statistically significant differences in attitude towards computer-based English language exams due to gender, computer skills, major, and academic year level, no statistically significant differences were found due to their level of English. Female students, first-year students, those whose computer skills are low, and those who lack experience with computers need to receive more training in computer-based exams to reduce their anxiety and make the exams fairer to all groups

Chancay Style Textiles in the Canadian Museum of History

This thesis is a study of a collection of 202 ancient Andean objects in the Canadian Museum of History (CMH). These artifacts are from the Central Coast of Peru and are associated with the Chancay culture of the Late Intermediate Period (A.D. 1000-1476). The aim of this research project is to help document the general technical and stylistic characteristics of Chancay weaving and potentially help narrow down the origin of some of the fabrics under study. The main objectives of this thesis are 1) to document the technical and aesthetic characteristics of the CMH fabrics and 2) to compare this collection to other published datasets. The study first involved the systematic examination of textiles, recording technical and decorative information for each piece. In the museum, fabrics were analyzed using a worksheet that helped record a number of attributes. Each textile was also photographed and sketches were also drawn. Basic exploratory analyses using SPSS were subsequently carried out to identify patterns related to technological choices and the local textile making operational sequence. It was found that the CMH collection is similar in most respects to other Chancay-style textile collections, although differences are also noted

Investigation of Neurotransmitter’s Knockdown Effect on Drosophila Melanogaster Female Aggression

Drosophila melanogaster (D. melanogaster) is a popular model organism in neurobiology. While aggression has been studied heavily in male drosophila, there\u27s minimal research on aggression in female drosophila. Neurotransmitters influencing aggressive behaviour in female D. melanogaster are poorly understood. Various neurotransmitters such as dopamine, octopamine, and serotonin influence aggression in D. melanogaster Further investigation of the role of neurotransmitters on aggression is thus important. The purpose of our experiment is to observe the effect of the knockdown of dopamine, octopamine and glutamate on aggression in female D. melanogaster

Proposing a new method of image classification based on the AdaBoost deep belief network hybrid method

Image classification has different applications. Up to now, various algorithms have been presented for image classification. Each of these method has its own weaknesses and strengths. Reducing error rate is an issue which much researches have been carried out about it. This research intends to optimize the problem with hybrid methods and deep learning. The hybrid methods were developed to improve the results of the single-component methods. On the other hand, a deep belief network (DBN) is a generative probabilistic modelwith multiple layers of latent variables and is used to solve the unlabeled problems. In fact, this method is anunsupervised method, in which all layers are one-way directed layers except for the last layer. So far, various methods have been proposed for image classification, and the goal of this research project was to use a combination of the AdaBoost method and the deep belief network method to classify images. The other objective was to obtain better results than the previous results. In this project, a combination of the deep belief network and AdaBoost method was used to boost learning and the network potential was enhanced by making the entire network recursive. This method was tested on the MINIST dataset and the results were indicative of a decrease in the error rate with the proposed method as compared to the AdaBoost and deep belief network methods.