Recent Articles

Researchers agree that teachers are one of the most important school-based resources in determining students’ future academic success and lifetime outcomes, yet have simultaneously had difficulties in defining what teacher characteristics make for an effective teacher. This paper reviews the large body of literature on measures of teacher effectiveness, underscoring the diversity of methods by which the general construct of “teacher quality” has been explored, including experience, professional knowledge, and opportunity to learn. Each of these concepts comprises a number of different dimensions and methods of operationalizing. Despite a voluminous research literature on the question of teacher quality, evidence for the impact of teacher characteristics (experience and professional knowledge) on student outcomes remains quite limited. There is a smaller, but more robust set of findings for the effect of teacher support on opportunity to learn. There are measures which may be associated with higher student achievement: teacher experience, teacher professional knowledge, and teacher provision of opportunity to learn.

The aim of the current study was to develop the linguistic outcomes of people with a simple mental retardation (55 – 70) degree. The existence of a mentally retarded child is a problem facing the family as well as the society due to the difficulty of dealing with this child with limited abilities. The current study is of practical importance in the development of the linguistic outcome of mentally retarded children especially in the class in which the study deals and which need programs to qualify them and enrich their language. The proportion of mentally retarded in Saudi Arabia is about 3%. Use the researcher’s experimental approach to consider the relevance of this research following the experimental design and Study Tools Student data form Testing the drawing of the man to Godfn – Harris The validity of the test was verified and validated the test of the linguistic crop preparation Dalia Mostafa, Before and after training on the program until it took its final form and applied the program to the same number (17) students in the city of Arar in the first three grades in the schools of Abdullah bin Abbas and Ibn Jubair primary and indeed was investigated the first purpose of the existence of differences of statistical significance between the performance of mentally retarded students before training on the program The results also showed that there were no statistically significant differences between mentally retarded people with mental disabilities and those who were mentally retarded in the linguistic yield test in response to this program according to the results of the test.

Introduction: Head and neck cancer, especially lesions in oral cavity and oropharynx, is a public health problem in the world, and is usually associated with low rates of cure and survival due to the small number of cases diagnosed in the early stages. Objectives: This article proposes to report a case of a patient diagnosed with cancer late, exemplifying the Brazilian reality, in the State of Pernambuco. Results: The delay in the diagnostic process is influenced by the lack of initial pain symptomatology, the reduced knowledge about the disease among patients and professionals, the fear of diagnosis and the difficulties of access to the specialized service. Conclusion: Late diagnosis is still a reality, leading to a worse prognosis and a reduction in the survival rate.

Information and communication technology (ICT) is an effective tool which can support young children’s reading skills in English as a foreign language (EFL), while teachers’ perceptions influence their classroom practices; however, there is limited empirical evidence on students’ perceptions on the use of ICT to enhance early reading skills in EFL. This study investigated early childhood student teachers’ perceptions regarding children’s reading skills in EFL via ICT, in Vietnam. A questionnaire was administered to 100 students. Students expressed positive perceptions indicating their willingness-intention to use ICT in teaching reading in EFL to young children. The skills and strategies most reported were that they will use computers high percentage of agreement in their classrooms for the extension of children’s vocabulary and the motivation of children to read and to like reading. Students perceived as major barriers the technical support and the availability of resources. The greater the year of study, the more positive were their perceptions. Implications for early childhood pre-service teacher training and educational policy are discussed.

Improving the quality of teaching and learning is an ultimate goal of continuous assessment (CA). This study attested that the perceived opportunities of continuous assessment for quality teaching and learning in Dire Dawa University, Ethiopia. To this study purpose survey research design was employed. A sample of 73 instructors and 289 students were involved in this study. The data collected through five-point Likert’s scale questionnaire was analyzed using SPSS 20 and one-sample t-test was used as data analysis method. The reliability of instruments was computed using Cronbach alpha and therefore, all instruments had presumably acceptable liability coefficients. The study found that the instructors and students have acknowledged the opportunities of CA to improve the quality of teaching and learning in HEIs. If CA is to fit for purpose the need to re-balance assessment for grading (summative assessment) and assessment for learning (formative assessment) and to design competency-based assessment rubric was recommended.

This study employed ex-post facto research design to ascertain non-parametric qualities of past undergraduate biology examinations questions in a Nigeria university. The study covered a period of five years examination sessions from 2012/2013 to 2017/2018 but excluded 2016/2017.One hundred and seven examination question papers with a total One thousand one hundred and ninety eight mainly essay and sub-essay questions were collected for this study. Using descriptive content analysis method, the study analysed the content validity and the cognitive content of the biology examination papers. Descriptive statistics, mainly percentage was used to determine the proportion of the questions set on the content of each course in context of the National Universities Commission (NUC), Abuja, Nigeria, Benchmark for Minimum Academic Standard (BMAS, 2007) and the in-use university academic prospectus undergraduate biology curriculum. The analysis revealed; i.80% of the content of the biology curriculum was tested and ii.(ii) the examination tested more of lower order cognitive abilities; knowledge and comprehensive (76.11%) with deviation +36.11, application/problem solving (1.83%) and cognitive abilities; analytical, creative and evaluative thinking (22.02%); higher order total 23.85% with deviation -36.15 The implications of the findings to quality of students learning were discussed. Appropriate recommendations that could lead to improvement of the content validity of the examinations questions, increasing proportion of problem solving/application and broad range of higher level analytical, creative and evaluative thinking questions were made. It was concluded that the examination question papers could be considered suitable assessment tool that satisfy content validity but low towards the attainment of cognitive objectives of biology of the undergraduate programme. The overall finding calls for further improvement in the qualities of the examination questions.

Recommender Systems are intelligent applications designed to assist the user in a decision-making process whereby user wants to choose one item amongst the potentially overwhelming set of alternative products or services. This work focused on using users bank statements that explicitly shows inflow and outflow of funds. The dataset used is real and reliable because the use of non-reliable data in a recommender system causes users lack of trust in the system. However, the data collected were anonymized for privacy reasons. The recommender system was developed as a web application using Java programming language. Unlike other recommender systems, the graph-oriented database management system was used. In Google news, 38% of the total views are the result of recommendations; similarly, 60% of the rented movies from Netflix come from recommendations and more than that Amazon sales percentage due to recommendations are 35%. Successful integration of recommendation system by online companies like Amazon, eBay, Flipkart amongst others impelled the research community to avail similar benefits in financial domain to recommend product and services (Lim, 2015). Therefore, recommendation systems are considered an expedient factor in business nowadays. The aim of all recommender systems is to provide recommendation that will be favourably evaluated and accepted by its users. This work provides detailed descriptions of methods employed to proffer solutions to intelligent recommender system with explicit feedback mechanism. The methodology of this research work refers to the research approach adopted by the researcher to tackle the research problem as stated in earlier chapter. Since the efficiency and maintainability of any application is solely dependent on how the designs are prepared, this chapter describes the various processes, methods and procedures used to achieve set objectives and the conceptual structure within which the research was conducted.

Prediction models are usually built by applying a supervised learning algorithm to historical data. This involves the use of data analytics system that uses real-time integration and dynamic real time responses data to detect churn risks. Subscribe are increasingly terminating their membership agreement with telecommunication companies through mobile number portability (MNP) in order to subscribe to another competitor companies. To model the Customer prediction, a Markov Chain Model will be used. The Markov model allows for more flexibility than most other potential models, and can incorporate variables such as non-constant retention rate, which is not possible in the simpler models. The model allows looking at individual customer relationships as well as averages, and its probabilistic nature makes the uncertainty apprehensible. The Markov Decision Process is also appealing, but since dynamic decisions along the lifetime of the customer will not be evaluated the Markov Chain is the simplest model that still meets the requirements. Each state in the Markov Chain will represent a person being a customer for one month, with an infinite number of states. The transition probability to move from one state to the next is equivalent to a customer retaining with the operator to the next month. A customer that has churned will be considered lost forever. Once the retention and churn rates are determined, the reference churn value for each customer will be computed. The churn rate will be calculated using MATLAB Monte Carlo simulations, running a large number of fictitious customer-company relationship processes, and extracting the results of the average customer. Using simulation approach gives better result than analytical methods, since an indefinite number of states make matrix algebra complicated. It also allows visualizing the distribution of the results more easily than with algebraic calculation easily than with algebraic calculation. To the telecom companies the result…

The use of injectable cell therapies to treat tendon pathology has become significantly more popular in recent years. They are appealing treatment modalities as they are minimally invasive, autologous, non-surgical management options which theoretically allow tendon regeneration and return to function. This case report will focus on the use of autologous tenocyte implantation (ATI) injection therapy to treat chronic degenerative rotator cuff tendinopathy.

Relevance. The reason for this study was the discovery of patients with clinical and laboratory manifestations of chronic kidney disease (CKD) in the lumen of the tubules of red blood cells and their decay products during nephrobiopsy1. It is known that the appearance of glucose in urine makes an ideal nutrient base for microorganisms that provoke chronic microbial inflammatory damage to the kidneys. Glycated hemoglobin is included in 5% of red blood cells in healthy adults. Its increase is associated with episodes of glycemia exceeding 6.5 mmol/l. which occuts in diabetes decompensation. Moreover, glycated hemoglobin has toxic properties with respect to the viability of the surrounding cytomembranes. This explains the large number of multiple organ diabetic complications 2,3. At the same time, it was found that the biochemical process of glycation of not only hemoglobin, but also other cellular glucoproteins is accompanied by oxidative damage to cytomembranes leading to their structural and functional failure 4,5. However, the role of glycated hemoglobin and glucose released during the deteriation of erythrocytes in the renal tubules, as one of the possible pathogenetic factors in the occurrence of chronic kidney disease, no one has previously analyzed.