English teachers in Iraq and other countries around the world up to this time use traditional methods to help students memorize new vocabularies. The sense of words or structure is not to be given in either the native tongue or the target language by definition, but is induced by the way the form is used in the situation. Situational Language Teaching (SLT) has recently become the needed method for improving speaking skills. It indicates the application of learning the language in actual and social exchange expressions so as to let learners do as required in classroom and non-classroom circumstances. This pilot study seeks to answer the following questions: Can SLT improve English speaking skills of target learners? How SLT contribute to the learning process at the Iraqi private schools? Based on Tompkin’s questionnaire and the characteristics and notions of SLT, random selection of 38 teachers, currently teaching English at the Second Al-Karkh district-Baghdad were recruited in this experiment. In order to make the study feasible, size sample should be in small scale up to 12 per school. Because of the economic situation, private schools has been forced to hire only 2 teachers to teach English at Elementary, Intermediate, and Secondary levels in times of the outbreak of COVID-19 Pandemic. Sample size calculations have reported in qualitative and quantitative research. The study suggests that teachers should bear in mind the significant role of role playing and conversation in the situational and environmental contexts.
Measuring Situational Language Teaching to English Student's Speaking in Private Schools
Situational Language Teaching (SLT)
Speaking Skills
Private Schools
Visual and physical objects
Role-playing and conversation
Real-life activities
Publication Date
Tue Dec 31 2019
Journal Name
Journal Of Economics And Administrative Sciences
Comparing Different Estimators for the shape Parameter and the Reliability function of Kumaraswamy Distribution
Kumaraswamy distribution
the shape parameter
reliability function
maximum likelihood
Bayes method
prior distributions (exponential distribution
chi-squared distribution and Erlang-2 type distribution)
the squared error loss function.
توزيع Kumaraswamy
معلمة الشكل
دالة المعولية
الإمكان الاعظم
طريقة بيز
التوزيعات الأولية (التوزيع الاسي
توزيع مربع كاي
توزيع ارلنك)
دالة الخسارة التربيعية.
In this paper, we used maximum likelihood method and the Bayesian method to estimate the shape parameter (θ), and reliability function (R(t)) of the Kumaraswamy distribution with two parameters l , θ (under assuming the exponential distribution, Chi-squared distribution and Erlang-2 type distribution as prior distributions), in addition to that we used method of moments for estimating the parameters of the prior distributions. Bayes
Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study
Synthesis
Fused Pyrazoles
1-(3
6-dimethyl-4-oxo-1
4-dihydro-5H-pyrazolo [4
3-C] pyridin-5-yl)-1H-pyrrole-2
5-Dione S1
1-[2-(3
6-dimethyl-4-oxo-1-phenyl-1
4-dihydro-5H-pyrazolo[4
3-C]pyridin-5-yl)ethyl]-1H-pyrrole-2
5-DioneS2 and 1-(3
6-dimethyl-4-oxo-1-phenyl-1
4-dihydro-5H-pyrazolo[4
3-C]pyridin-5-yl)-1H-pyrrole-2
5-Dione S3
reactivity ratios
copolymer composition
Mean Sequence lengths.
Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study