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Teachers’ Practices and Perceptions of the Flipped Classroom Approach: A Case Study of the English Department of Faculty of Arts and Humanities Kairouan in Tunisia
Get PDFDespite the importance of the flipped classroom approach, few studies have investigated its implementations in Tunisia. This study attempts to fill this gap by exploring the different applications of flipped classroom approach, its spread, and its applicability in Tunisia. This study aims to study the Flipped classroom approach’s practices in the English department within the Faculty of Arts and Humanities Kairouan (FLSHK). It also focuses on the English professors’ perceptions regarding this approach. Two research methods were used to collect data; observation of five English classes and interviews with nine FLSHK English professors. This research is of great value in understanding Tunisian professors’ perceptions of the flipped classroom and its applications within Tunisian English classrooms to seek better learning experiences. The findings have significant implications on teaching, teachers, and learners’ experiences.
A Theoretical Exploration of Teacher Credibility and Immediacy as Influential Factors in Learning and Teaching
Get PDFThis review study aims to fill a research gap by examining the role of two critical teacher interpersonal behaviors, immediacy and credibility, based on existing evidence. By analyzing the available literature, this study will offer valuable insights for educators, policymakers, and researchers in the field of language education. The empirical and theoretical evidence presented in this review study unequivocally demonstrates the importance of teacher credibility and immediacy in shaping EFL learners' perceptions of classroom justice. These factors significantly impact learners' understanding and evaluation of distributive, interactional, and procedural justice, profoundly influencing their overall satisfaction and engagement in the educational process. Furthermore, the study highlights that teacher credibility is a strong predictor of learners' perceived cognitive, affective, and behavioral learning in the classroom, while teacher immediacy predicts students' perception of interactional justice. Lastly, the review examines the impact of both nonverbal and verbal teacher credibility on learning outcomes
Utilization of camel’s milk for preparation of banana, guava, persimmon, and mango ice milk
Get PDFThe present work was focused on application of camel's milk with banana, guava, persimmon, and zebda-mango fruits for preparation ice milk. Four ice milk treatments [TB (banana), TG (guava), TP (persimmon), and TZ (zebda-mango)] besides the first control [C* (contains cow’s milk)] and second control [C** (contains camel’s milk)] were prepared. The chemical analysis between different fruits showed noticeable differences in the total solids (TS), fat, protein, ash, crude fiber, carbohydrate, total soluble solids (TSS), pH value, radical scavenging activity (RSA), and total phenolic compounds (TPC). The physicochemical properties (especially freezing point, pH value and acidity) besides the rheological parameters of ice milk mixtures showed significant (p < 0.05) changes between controls and fruits treatments, in addition the rheological parameters (except flow behaviour index) of TG > TZ > TP > TB > C* ≈ C**. During aging times from fresh up to 4 hrs, the rheological parameters (apparent and plastic viscosities, and consistency coefficient) were increased significantly, but the yield stress and flow behaviour index were decreased significantly. The physicochemical properties of fruits ice milk treatments whether at 1 or 30 days showed significant differences between controls and fruits ice milk treatments. With regard to the RSA and TPC of ice milk treatments, the treatments were recorded significant increases in the previous parameters than controls. Through the storage periods, the significant decreases in each RSA and TPC values were reported. The melting rates of C** ≈ C* > TB > TP > TZ > TG were noticed throughout the storage periods of 1 and 30 days. Zebda-mango ice milk was ranked the best treatment according to the panelist’s judgment, followed by banana, persimmon, and then guava ice milk treatments. The total production costs showed that the TP > C** ≈ TG ≈ TZ > TB > C*, in addition the profits of C* > TB > C** ≈ TG ≈ TZ > TP, when the present treatments compared with the selling price in supermarket
Convolutional Neural Networks for Defect Detection on LV cables
Get PDFA convolutional neural network (CNN) is a machine learning algorithm that is particularly well-suited for tasks such as object recognition, image captioning, and speech recognition. CNNs are particularly effective at detecting features in images that are not easily observable by other machine learning algorithms, such as defects in manufacturing. By analyzing large collections of images, CNNs are able to find patterns that are indicative of defects. Power cables are an important part of manufacturing, as they allow machines to be operated and communicated with. Recently, great importance has been offered in making electricity generation, transmissions, distribution and storage smart. However, the shift to smart grid should include intelligent methods of detecting the reliability of electrical connections. Several types of electrical cables are used to transmission and distribution of electrical energy. Due to excellent electrical and mechanical properties, cross-linked polyethylene (XLPE) cables are widely used in power systems. Poor manufacturing techniques in the production and installation of cable joints will cause insulation defects. Some suggest, the use of interdigital capacitive (IDC) for online monitoring on XLPE cables. Others suggest The use of a continuous wave (CW) terahertz (THz) imaging technology could help display and detect interior faults in cross-linked polyethylene (XLPE) plates used for power line insulation. In this paper, I developed models which predominantly use locally collected custom dataset to forecast individual power cable physical safety status. The model is aimed at replacing the physical inspection with computer vision and image processing techniques to classify defective power cable from non-defective ones. The project is implemented using the Python programming language, the Tensorflow library, and a Convolutional neural network.The Convolutional Neural Network (CNN)-based method is purposefully chosen and applied in this project for power cable defect classification. The project culminates by recommending the use of same or additional datasets and provide modalities to detect power cable defect from live video
Uncovering Iranian EFL Learners’ Repair Operations’ Employment in Story-Retelling
Get PDFAbstract: Although Iranian EFL learners’ practices concerning the process of repair have been investigated by some researchers the state of Iranian EFL learners’ use of repair operations in narratives and story-retelling is underexplored. This study aimed to investigate how Iranian EFL learners manage communication during story retelling and identify the repair operations they use to overcome communication breakdowns. Based on Schegloff's theoretical framework of 10 repair operations, this study examined the preferences of forty EFL learners regarding the use of repair operations. In addition, the relationship between the gender and English proficiency level of EFL learners and repair operations in story retelling was investigated. After analyzing forty monologues totaling 183 minutes, the findings show that nonlinguistic repair operation and parenthesizing are the most and least frequently used operation. Moreover, recycling, replacing, deletion and insertion are found to be the second, third, fourth and fifth most frequent repair operations while abortion, searching, reformatting and sequence jumping are considered less used by the EFL learners. Additionally, the results of crosstabulation and chi-square tests show no statistically association between proficiency levels and repair operations as well as gender and repair operations employment by EFL learners in story-retelling. The findings might be useful to researchers, language educators and syllabus designers
Exploring Perspectives and Reform Dynamics: English Language Instruction in Tunisian Elementary Schools
Get PDFIn this study, our objective was to delve into the perspectives of Tunisian public elementary school English as a Foreign Language (EFL) teachers regarding the merits of introducing English at a younger age. We sought to test the hypothesis that an early start in English language instruction, following the "the younger the better" notion (Lenneberg, 1967; Penfield, 1959), would yield positive outcomes. To accomplish this, we collected data through a quantitative approach, involving a sample of 30 teachers, and conducted interviews with five English language inspectors representing different regions of Tunis.
The analysis of the data revealed that a significant number of teachers in the observed Tunisian elementary schools acknowledged the importance of initiating English education at an earlier stage, recognizing the pivotal role English plays in the curriculum, and acknowledging children's remarkable enthusiasm for foreign language learning. However, despite this recognition, the Ministry of Education has not taken substantial steps towards implementing changes in the educational system.
The findings of this study underscore the significance of English language instruction in Tunisian schools, and both educators and policymakers concur that lowering the age at which English is introduced offers distinct advantages to young second language learners by increasing their exposure to the language. The growing prominence of English education in public schools indicates its potential influence on future educational enhancements in Tunisian public schools.
 
A SURVEY ON PROMISING DATASETS AND RECENT MACHINE LEARNING APPROACHES FOR THE CLASSIFICATION OF ATTACKS IN INTERNET OF THINGS
Get PDFSecuring Internet of Things (IoT) against attacks is a very interesting area of research. A cyberattack refers to as any form of malicious activity that targets IT systems, networks and/or people with a view to gaining illegal access to systems and data they contain. Attacks are in various forms as found in computer systems, networks and the cyber space. The immense increment in the amount of internet applications and the appearance of modern networks has created the need for improved security mechanisms. A good example of such modern technology is Internet of Things (IoTs). An IoT is a system that uses the Internet to facilitate communication between sensors and devices. Several approaches have been used to build attacks detection system in the past. The approaches for classifying attacks have been categorised as signature-based and Machine learning based. However, ML techniques have been argued to be more efficient for the identification of attacks or intrusions when compared to signature-based approaches. This study sourced for relevant literature from notable repositories and then surveyed some of the recent datasets that are very promising for ML-based studies in attack classification in IoT environments. The study equally provided a survey of evolving ML-based techniques for the classification of attacks in IoT networks. The study provided clear directions to researchers working in this area of researches by making the necessary information available more easily for the researcher to go about achieving improved ML-based approaches in this area
Lignin used as a green and sustainable Agriculture biomass for renewable application. A Comprehensive review
Get PDFThe use of renewable energy sources is receiving more and more attention, because of the various adverse consequences related to utilizing non-sustainable power sources. In addition to other things, the biomass of horticultural harvests has been demonstrated to be a feasible nonrenewable energy source, pursuing it a seriously charming decision to separate or make steam-added items. These days, the pulp and paper sector produces 50 to 70 million tonnes of lignin annually, and most of it is burned to recover energy. Because it is a naturally occurring aromatic polymer rich in functional hydroxyl groups, lignin has attracted interest from both academia and business for its potential use in the production of polymeric products. Polyurethanes (PUs) are among the most significant polymers that may be produced from lignin, particularly given the variety of uses for which they are used. Lignin has a variety of uses, including those of glue, adhesive, sticky material, furniture, building structures, cement, and biomaterials. In an assortment of specialized, modern, and other environmentally friendly power applications, rice husk and debris are utilized in the ongoing examination to explore new and late green/supportable use. The foundation data on agro-squander applications is additionally given, and how much silica can be delivered from rice husk against other agro-squander sources is differentiated
Attitudes towards Online Teaching: Gender, Experience, and Age among Iranian English Language Teaching Teachers
Get PDFThe field of education is currently experiencing a profound technological revolution, driven by the pervasive influence of the internet. This transformation has made the integration of technology indispensable. This research explores the nuanced influence of gender, age, and experience on the attitudes of 160 Iranian English as a Foreign Language (EFL) teachers toward online teaching. Central to this investigation is the 'Teachers' Attitude Towards Online Teaching' (TAtOT) questionnaire, thoughtfully adapted and validated for Iranian EFL teachers by Kianinezhad (2023). The study reveals a significant gender-based disparity, with male teachers exhibiting a more favorable perspective on online teaching. Additionally, the research establishes a negative correlation between attitudes and both experience and age, indicating that teachers tend to view online teaching less favorably as they gain more experience and age. This study underscores the critical importance of tailored training, well-designed support systems, continuous professional development, collaborative initiatives, and substantial investments in policies and infrastructure to foster a positive attitude toward technology integration among educators. In conclusion, the research not only highlights but also underscores the dynamic interplay of gender, age, and experience in shaping attitudes among Iranian EFL teachers. This understanding empowers educational institutions to develop strategies for promoting technology integration and, consequently, enhancing the quality of online education in the EFL context. Further research in this field is strongly recommended to refine and expand upon these insights, guiding evidence-based practices in teacher education and support in the future
Existence theory and stability analysis to a coupled nonlinear fractional mixed boundary value problem
Get PDFIn this manuscript, we conclude a comprehensive approach to a class of nonlinear coupled system of fractional differential equations with mixed type boundary value conditions. Subsequently, the solution of coupled system exists and unique under mixed type boundary value conditions with the reference of Schaefer and Banach fixed-point theorems. Further, we developed the Hyers- Ulam stability for the considered problem. Finally, we set an example for the support of our results