Writing in English is one of the essential factors for successful EFL learning .Iraqi students at the preparatory schools encounter problems when using their background knowledge in handling subskills of writing(Burhan,2013:164).Therefore, this study aims to investigate the 4thyear preparatory school students’ problems in English composition writing, and find solutions to these problems through a suggested schematic language learning strategy training approach dealing with writing problems .The researcher made a survey at eight preparatory schools of AL-Risafa (1) General Directorate of Education :(316) from the scientific branch (159 males &157 females) and (284) from the literary branch (145 males &139 females), in Baghdad, during the second term of the academic year 2014-2015.In this regard, a suitable questionnaire is designed and exposed to a jury of specialists in ELT. The results indicate that the subjects of the study,i.e.preparatory school students are poor in English composition writing due to poor teaching methods, students’lack interest in vocabulary, grammar knowledge ,cultural knowledge, and schema .Then, the study advocates that writing problems can be reduced to a minimum if students are taught by using schema .With this orientation, this study suggests a schematic language learning strategy training that enables students to overcome their writing problems by developing their linguistic schema, formal schema and content schema .Conclusions, recommendations ,and suggestions are made.
Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le
... Show More
(12)
(4)
(6)
(5)
استهدفت الدراسة الحالية تحديد طبيعة العلاقة الارتباطية بين التعاطف والسلوك العدواني لدى عينة من طلبة المرحلة المتوسطة. تكونت العينة من طلبة الصف الأول المتوسط بغداد/ تربية الرصافة الثانية من كلا الجنسين، شملت 218 طالباً وطالبة، وطبق مقياس التعاطف، ومقياس السلوك العدواني. وبعد معالجة البيانات، أظهرت النتائج تمتع طلبة الصف الأول المتوسط بالنزعة أو الميل للتعاطف، وتبين أن الإناث أكثر تعاطفاً من الذكور، ومستوى
... Show MoreThe research aims to identify the impact of using the electronic participatory learning strategy according to internet programs in learning some basic basketball skills for middle first graders according to the curricular course, and the sample of research was selected in the deliberate way of students The first stage of intermediate school.As for the problem of research, the researchers said that there is a weakness in the levels of school students in terms of teaching basketball skills, which prompted the researchers to create appropriate solutions by using a participatory learning strategy.The researchers imposed statistically significant differences between pre and post-test tests, in favor of the post tests individually and in favor of
... Show MoreThe current paper examines the Arab EFL teacher view on the application of AI-based chatbots as a method of aiding writing instruction. It explores pedagogy, didactic difficulties and ethics. The overall aim is to clarify the perception that teachers have of AI chatbots as a useful tool in the writing process and to find out to what degree these perceptions are reflected in instructional decision-making and classroom behaviors. A quantitative study was conducted using a structured questionnaire that was given to forty Arab EFL teachers, using a sequential explanatory mixed-method design. To elaborate and contextualize the survey results, qualitative enquiry was implemented through semi-structured interviews with twelve teachers. Fin
... Show More
The current study aims to investigate the second cycle students’ motives for using electronic games in Oman. The sample consisted of (570) students, (346 males and 224 females). The participants completed an open-ended question which was analyzed based on ground theory. The results showed that (46.820%) of the males and (77.678) of the females played electronic games for pleasure, entertainment, and fun. This first category of motivation got the highest percentage of frequency (58.947%). The motive to become a hacker, a popular YouTuber got the lowest percentage (2.280%). Other students’ motives toward playing electronic games included: filling the leisure time, overcoming boredom, feeling adventures, getting science fiction and chal
... Show MoreThe research aimed to identifying :
- Egocentrism of the university students .
- Academic adaptation of the university student.
- Differences in Egocentrism according to the both variable ( Gender and Specialization ) of the university student.
- Differences in academic adaptation according to the both variable ( Gender and Specialization ) of the university student .
- The Contribution of academic adaptation to Egocentrism of the university student .
The sample of the research consisted of ( 400 ) students.
Tow instruments have been us
This study depicts the removal of Manganese ions (Mn2+) from simulated wastewater by combined electrocoagulation/ electroflotation technologies. The effects of initial Mn concentration, current density (C.D.), electrolysis time, and different mesh numbers of stainless steel screen electrodes were investigated in a batch cell by adopting Taguchi experimental design to explore the optimum conditions for maximum removal efficiency of Mn. The results of multiple regression and signal to noise ratio (S/N) showed that the optimum conditions were Mn initial concentration of 100 ppm, C.D. of 4 mA/cm2, time of 120 min, and mesh no. of 30 (wire/inch). Also, the relative significance of each factor was attained by the analysis
... Show More
(6)
This study depicts the removal of Manganese ions (Mn2+) from simulated wastewater by combined electrocoagulation/ electroflotation technologies. The effects of initial Mn concentration, current density (C.D.), electrolysis time, and different mesh numbers of stainless steel screen electrodes were investigated in a batch cell by adopting Taguchi experimental design to explore the optimum conditions for maximum removal efficiency of Mn. The results of multiple regression and signal to noise ratio (S/N) showed that the optimum conditions were Mn initial concentration of 100 ppm, C.D. of 4 mA/cm2, time of 120 min, and mesh no. of 30 (wire/inch). Also, the relative significance of each factor was attained by the analysis of variance (ANO
... Show More
(6)
(2)
(2)