درخت حوزه‌های تخصصی

This study examined the possible effects of orthographic/phonologic priming techniques on the receptive language skills of Iranian EFL learners with different proficiency levels. From an initial pool of 700 EFL learners from a language learning institute, two hundred and seventy learners from both genders were selected based on their performance on an English proficiency test and classified into six experimental and three control groups. After gaining certitude about the participants’ English proficiency levels, the semantic and orthographic/phonologic priming phase was conducted, and consequently, the participants’ contextualized comprehension of the primed words was assessed via a set of reading and listening comprehension tasks. The performances of the participants on the designed tasks indicated that semantic primes were more efficient for improving both comprehension skills compared with the orthographic-phonologic primes. Moreover, based on the results, language proficiency affected the success of the primes on both reading and listening comprehension tasks; advanced learners showed a greater improvement than the beginners and the intermediates under the influence of the priming techniques. Orthographic-phonologic primes were found to be more efficient for beginners, whereas the advanced learners showed an enhanced performance with regard to semantic primes. Overall, semantic primes showed more facilitative effects across various comprehension tasks due to their activation of deeper cognitive processing. Orthographic-phonologic primes were also successful. However, they were more efficient in the early stages of language learning, where visual recognition played a more critical role.

The present research was targeted toward examining the relationship between cultural intelligence (CQ), emo-sensory intelligence (ESQ), language learning strategies (LLS), and students’ language achievement (LA). A number of 300 EFL Iraqi students studying at the English Language Department of AL-Qadisiyah University, Iraq was selected through convenience sampling. The participants filled out the cultural intelligence questionnaire, emo-sensory intelligence scale, and the language learning strategy inventory. Students’ final scores were used as a means through which their language achievement could be gauged. The data were analyzed using Pearson Product-Moment Correlation and Structural Equation Modeling (SEM) analysis. The findings indicated a significant relationship between ESQ, CQ, learning strategies, and students’ language achievement. In addition, it was found that CQ and language learners’ strategy could directly predict the language achievement of Iraqi EFL learners. ESQ, could only predict language learners’ achievement through the mediation of language learning strategies.

This article sketches the application of Wendy B. Faris’s primary features of narrative techniques in magical realist fiction in the selected novels The War of Don Emmanuel's Nether Parts (1990) by the British novelist Louis de Bernières and I Stared at the Night of the City (2008) by Kurdish novelist Bakhtiyar Ali, while keeping an eye on Chanady’s and Hegerfeldt’s perspectives where relevant. The focus is on the authors' use of Faris's features; namely the phenomenal world, unsettling doubts, merging-realms, irreducible elements and disruptions of time, space and identity, to depict their war-torn communities. These novelists have manipulated these characteristics from their diverse viewpoints. Despite their different cultural backgrounds and intellectual perspectives, both novelists attempt to convey a sense of reality by exploring the enigmatic nature of human behaviour and psychology, politics, and life in general. In this study, the researchers aim to elucidate the significance of these features in the selected novels to demonstrate the dilemma of war-stricken communities. Essentially, the researchers seek to unravel how these literary elements help in representing the complex and multifaceted nature of societies grappling with the impacts of conflict. The authors' manipulation of Faris's features becomes a lens through which they examine and articulate the intricate realities of war-stricken communities in their respective works.

The ongoing increase in the population of Kurdish as Heritage Language (HL) learners encouraged the present study to explore the learners’ motivations as well as the influential factors on its development. Second Language Motivational Self-System (L2MSS) was adopted as the theoretical framework wherein, the subscales of the Ideal-self, Ought-to self and Motivational Intensity were explored. The study drew on a mixed-methods design in which semi-structured interviews were conducted with four undergraduate participants and a total number of 213 undergraduate Iranian learners of Kurdish participated in a survey. The qualitative results indicated that the interviewees had a positive experience of learning Kurdish in the classroom and were more enthusiastic to get engaged in the process of learning in the future . Furthermore, the quantitative results indicated that the participants more often pursued Kurdish in terms of the Ideal self and that learning Kurdish revealed to be an opportunity to fulfill the learners’ wishes. It was also found that the male participants were propelled by stronger motivational force which was more probably due to stronger sense of identity among male participants.

Predicting the development of cancer has always been a serious challenge for scientists and medical professionals. The prompt identification and prognosis of a disease is greatly aided by early-stage detection. Researchers have proposed a number of different strategies for early cancer detection. The purpose of this research is to use meta-learning techniques and several different kinds of convolutional-neural-networks(CNN) to create a model that can accurately and quickly categorize breast cancer(BC). There are many different kinds of breast lesions represented in the Breast Ultrasound Images (BUSI) dataset. It is essential for the early diagnosis and treatment of BC to determine if these tumors are benign or malignant. Several cutting-edge methods were included in this study to create the proposed model. These methods included meta-learning ensemble methodology, transfer-learning, and data-augmentation. With the help of meta-learning, the model will be able to swiftly learn from novel data sets. The feature extraction capability of the model can be improved with the help of pre-trained models through a process called transfer learning. In order to have a larger and more varied dataset, we will use data augmentation techniques to produce new training images. The classification accuracy of the model can be enhanced by using meta-ensemble learning techniques to aggregate the results of several CNNs. Ensemble-learning(EL) will be utilized to aggregate the results of various CNN, and a meta-learning strategy will be applied to optimize the learning process. The evaluation results further demonstrate the model's efficacy and precision. Finally, the suggested model's accuracy, precision, recall, and F1-score will be contrasted to those of conventional methods and other current systems.

This study represents the inaugural attempt at assessing the authenticity of the tasks encompassed in the IELTS Speaking Module. The evaluation is conducted from the vantage points of applied linguistics and general education, and serves to enhance comprehension of authenticity and authentic assessment. In order to achieve this objective, an analysis was conducted on the Speaking Module tasks using Bachman and Palmer's (1996; 2010) model of test usefulness from the discipline of applied linguistics, as well as Herrington and Herrington's (1998; 2006) inventory of the fundamental attributes of genuine assessment from the realm of general education. The results of both task analyses revealed low indices of authenticity of the tasks. The high degree of the convergence of the results from the analyses could open new horizons to experts in applied linguistics to exchange ideas about authentic language assessment with those in general education. Furthermore, such characteristics as problem-solving skills, higher-order thinking skills, integrated assessment, and multiple indicators of learning, are not included in Bachman and Palmer’s framework.