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Le glissement énonciatif sous le regard des inspecteurs pédagogiques de français
This research is framed within the analysis of teacher action (Cicurel, 2013). It investigates the perspectives of educational in spectors regarding the didactic discourse of French as a foreign language teachers in the secondary vocational cycle within the Moroccan context. The objective is to gather and analyze the inspectorate\u27s views on the concept of enunciative shift (Cicurel, 1996), which is defined as the transition from a relatively objective stance in didactic communication to an enunciative position that emphasizes the teacher\u27s subjectivity during interactions with students. The inclusion of the inspection body is driven by a desire to deep enourin quiry, particularly since some interviewed teachers noted a connection during the pre-survey between their subjective enunciative stances and the presence or absence of the inspector. Consequently, we will utilize two tools to collect the inspectors\u27 opinions: pedagogical reports and semi-structured interviews
Linguistique du corpus, littératie scientifique et genre de discours
Literacy, which according to Jaffré (2004:31) designates “the set of human activities which involve the use of writing, in reception and production”, finds its origins in the various research studies relating to anthropology social in Anglo-Saxon countries (cf. Goody, 1979). She is particularly interested in scriptural practices in research writings taking into account their contextual and socio-cultural dimensions. It can be considered both as a term, as a multidisciplinary field, or even as an approach, which is interested in the multiplicity of discourses emanating from teachers and students and which can be written or oral.
Our purpose in this contribution is to account not only for this literacy, or its relationship with the genre of discourse, but also and above all for the impact that corpus linguistics could have, an adequate theoretical framework for this type of literacy
أثر استخدام بيئة تعلم إلكترونية تكيفية قائمة على الذكاء الاصطناعي في تنمية مهارات التفكير العليا في مادة الكيمياء لدى طلبة المرحلة الثانوية
هدف البحث إلى استقصاء أثر استخدام بيئة تعلُّم إلكترونية تكيُّفيّة قائمة على الذكاء الاصطناعي في تنمية مهارات التفكير العليا في مادة الكيمياء لدى طلبة الصف الحادي عشر، وتكونت عينة الدراسة من (60) طالبة من الصف الحادي عشر في العاصمة عمان، تم تقسيمهم إلى مجموعتين، تجريبية وضابطة، تم اختيار افراد العينة بالطريقة القصدية، ولتحقيق هدف الدراسة تم الاعتماد على المنهج شبه التجريبي، وتم إعداد اختبار لقياس مستويات مهارات التفكير العليا في مادة الكيمياء، بعد التحقق من صدقه وثباته ومعاملات الصعوبة والتمييز للفقرات، وقد أظهرت نتائج الدراسة وجود فرق في الأداء البعدي بين المجموعتين في اختبار مهارات التفكير العليا، حيث بلغت قيمة ف (14.74) بمستوى دلالة (0.00) وهذه القيمة دالة احصائياً عند (0.01 ≥ α)، وكان الفرق لصالح طالبات المجموعة التجريبية (بيئة التعلم الإلكترونية التكيُّفيّة القائمة على الذكاء الاصطناعي)، وبناءً على نتائج الدراسة، تمثلت أبرز التوصيات بعقد المزيد من الدورات والورش التدريبية لتنمية مهارات المعلمين في مجال تصميم وتوظيف بيئات التعلم التكيُّفيّة القائمة على الذكاء الاصطناعي.
The article aimed to investigate the effect of using an adaptive electronic learning environment based on artificial intelligence on developing higher-order thinking skills in chemistry among eleventh-grade students. The study sample consisted of (60) eleventh-grade female students in the capital Amman, who were divided into two groups, experimental and control. The sample members were selected purposively, and to achieve the aim of the study, the quasi-experimental approach was relied upon. A test was prepared to measure the levels of higher-order thinking skills in chemistry, after verifying its validity, stability, and difficulty and discrimination coefficients for the items. The results of the study showed a difference in post-test performance. Between the two groups in the higher-order thinking skills test, the “F” value reached (14.74) with a significance level of (0.00) and this value is statistically significant at (0.01 ≥ α), and the difference was in favor of the female students of the experimental group (adaptive electronic learning environment based on artificial intelligence), based on the results of the study, the most prominent recommendations were to hold more training courses and workshops to develop teachers’ skills in the field of designing and employing adaptive learning environments based on artificial intelligenc
محددات الحقوق البيئية بالمغرب وواقع ممارستها
استعرض المقال الإطار النظري والقانوني للتشريع البيئي في المغرب، بالإضافة إلى تحليل التحديات التي تعترض تطبيقه وآفاق تحسينه. وتبرز الدراسة وجود فجوة بين النصوص القانونية البيئية وواقع الممارسة في المغرب مما يقلل من فعالية هذه التشريعات في حماية البيئة. كما تعيق التحديات المؤسسية والإدارية والمالية التطبيق الفعال لهذه التشريعات، إذ تواجه المؤسسات المعنية بحماية البيئة تحديات كبيرة تتعلق بنقص التنسيق والتداخل في الصلاحيات، مما يؤدي إلى ضعف في التنفيذ والمراقبة، حيث تعاني الجهات المسؤولة عن حماية البيئة من نقص في التمويل، مما يؤثر سلباً على قدرتها على تنفيذ البرامج البيئية وصيانة البنية التحتية البيئية. كما أن هناك حاجة ملحة لتعزيز الوعي البيئي لدى المواطنين وتحفيزهم على المشاركة الفعالة في حماية البيئة، من خلال برامج توعوية وتثقيفية مستمرة. لذلك، أوصت الدراسة بضرورة تعديل النصوص القانونية البيئية وتطوير آليات التنفيذ والمراقبة، وتعزيز التنسيق بين الجهات المعنية، وزيادة الوعي البيئي بين المواطنين. وتشجيع التعاون الدولي الذي يمثل فرصة مهمة لتحسين الإطار التشريعي البيئي في المغرب، من خلال الاستفادة من التجارب الدولية ونقل التكنولوجيا الحديثة
The article examined the theoretical and legislative framework of environmental legislation in Morocco, alongside an analysis of the challenges hindering its implementation and prospects for improvement. The study highlights a significant gap between the environmental legal texts and their practical application in Morocco, which diminishes the effectiveness of these legislations in environmental protection. Institutional, administrative, and financial challenges impede the effective enforcement of these laws. Environmental protection agencies face significant issues related to lack of coordination and overlapping authorities, resulting in weak implementation and oversight. Furthermore, these agencies suffer from inadequate funding, adversely affecting their ability to execute environmental programs and maintain environmental infrastructure. There is an urgent need to enhance environmental awareness among citizens and motivate their active participation in environmental protection through continuous awareness and educational programs. Therefore, the study recommends amending environmental legal texts, developing effective implementation and monitoring mechanisms, strengthening coordination among relevant entities, and increasing environmental awareness among the public. Additionally, the study emphasizes the importance of international cooperation as a vital opportunity to improve Morocco\u27s environmental legislative framework by leveraging international experiences and modern technology transfe
Synchronous and Asynchronous Online Learning in a TEFL Course: An Investigation of Student-teachers’ Perceptions
هدف البحث الحالي إلى تسليط الضوء على رأي الطلبة المعلمين في جامعة الأزهر-غزة بالتعلم المتزامن وغير المتزامن والذي تم استخدامه من خلال نشاطات في مساق طرق تدريس اللغة الإنجليزية، وإيجاد هل لمتغير الجنس والمستوى الأكاديمي أثر على آرائهم. اعتمد الباحثان المنهج الوصفي التحليلي، حيث شارك 13 طالباً معلماً و36 طالبة معلمة من كلية التربية في تعبئة الاستبيان. استخدم الباحثان استبيان يحتوي على ثلاثة أقسام لمعرفة رأي المشاركين بالتعلم المتزامن والتعلم غير المتزامن واقتراحاتهم لتحسينه، وتضمنت النتائج أن الطلبة المعلمين في جامعة الأزهر-غزة كانت لديهم اتجاهات إيجابية نحو التعلم المتزامن وغير المتزامن وأن هذا النوع من التعلم عبر الإنترنت يعزز ممارساتهم في تدريس اللغة الإنجليزية كلغة أجنبية بنجاح. وكما أشارت النتائج إلى أن متغير الجنس ليس له أثر على رأي الطلبة المعلمين لكن كان هناك أثر للمستوى الأكاديمي.
This study aimed to highlight TEFL student-teachers\u27 perceptions towards synchronous and asynchronous online learning used to conduct the teaching activities of a TEFL course, and to find out whether the sex and academic achievement variables affect those student-teachers\u27 perceptions at Al-Azhar University-Gaza. The researchers adopted the descriptive analytical approach design in which thirteen male and thirty-six female student-teachers from the Faculty of Education participated in the survey. The researchers used a questionnaire, which included three sections, to reveal the participants’ perceptions towards synchronous and asynchronous online learning and their suggestions to improve the use of this style of learning. Results indicated that Al-Azhar University student-teachers have positive perceptions towards synchronous and asynchronous online learning classes and feel that this type of online learning successfully enhanced their TEFL practices. Results also showed that the sex variable did not affect student-teachers\u27 perceptions, but the academic achievement level variable di
Finite Element Modeling of Newly Developed Cold-Formed Hollow Flanged Z-beams
Cold-formed hollow flanged sections (CFHFS) are considered an innovative advancement in cold-formed steel design. These sections offer large lateral torsional rigidity over the open cold-formed section resulting in enhanced flexural capacity. This paper introduces a numerical study on the section moment capacity of newly developed cold-formed hollow flanged Z-beams (CFHFZBs). CFHFZBs can be easily constructed in the Egyptian market by welding an industrially available main Z-element to two secondary Z-elements to form the hollow flange. This paper presents the finite element modeling of sixteen CFHFZBs in a four-point bending arrangement using ABAQUS software. To obtain verified finite element models (FEMs), the section moment capacity tests performed by [8] on the hollow flanged steel plate girders (HFSPGs) using a four-point bending arrangement were simulated first. The experimental conditions in terms of material properties, initial geometric imperfections, boundary conditions, and lateral supports were modeled carefully. These FEMs were validated by comparing the moment capacity, buckling moments, and buckling modes obtained from the FEMs with those obtained from the literature experiments. The validated FEM is then used in the parametric study. In which, the flexural strength of the CFHFZs under the effect of local buckling is investigated by varying section parameters such as depth, width, and thickness. The paper also involves studying the suitability of the available design rules (Australian/New Zealand Standard and North American Specifications) to predict the flexural strength of the developed CFHFZBs
A Hybrid Binary Grey Wolf Optimizer Based on DE Algorithm for Feature Selection
Feature selection is one kind of optimization problem that has bio-objective functions, where it is necessary to get the minimum number of features that achieve high classification accuracy. According to literature studies, several kinds of meta-heuristic algorithms have been utilized to solve feature selection problems. One of these meta-heuristic algorithms is the Grey Wolf Optimization (GWO) algorithm and its modified variants, including the binary versions. They have yielded competitive results compared to other algorithms. Despite the simplicity and effectiveness of GWO and its modified versions, they face challenges related to the exploitation ability of the local search. To avoid premature convergence as well as limited refinement around promising solutions, further improvements must be included. In our paper, an enhanced hybrid algorithm, named BGWODE, is proposed to improve the performance of the binary GWO (BGWO) in wrapper-based techniques for solving feature selection problems. The proposed BGWODE algorithm is developed by hybridizing the BGWO and differential evolution (DE) algorithms. Incorporating DE improves the search capability of BGWO in terms of exploitation. To evaluate the effectiveness of the proposed BGWODE algorithm, a total of 18 well-known feature selection datasets from UCI Repository were employed. A comparison was conducted between BGWODE and six famous state-of-the-art algorithms. The classification process is done using the k-nearest-neighbour (KNN) classifier. The results demonstrated the ability of BGWODE to achieve high classification accuracy with a reduced number of selected features across the majority of benchmark datasets used in the comparison. For the majority of the tested datasets, BGWODE was able to attain high level of classification accuracy with few numbers of selected features
Nature-Inspired Architectural Design and Its Impact on Health
The report explores the concept of nature-inspired architectural design and its significant impact on human health and well-being. Rooted in biophilic principles, this design philosophy integrates natural elements—like light, plants, organic forms, and natural materials—into built environments to foster a stronger connection between people and nature. Research highlights numerous benefits, including reduced stress, improved mood, better air quality, enhanced sleep cycles, and increased physical activity. Historically, nature has inspired architecture from ancient to modern times, evolving into a sustainable and health-conscious practice. The report discusses how elements such as geometric forms, color schemes, daylight, and green spaces directly contribute to mental and physical wellness. It also examines successful case studies and acknowledges challenges such as cost, material availability, and regulatory constraints. Technological advancements and community engagement are emphasized as key drivers in promoting biophilic design. Ultimately, the report concludes that nature-inspired architecture offers a holistic and sustainable approach to addressing contemporary urban and environmental challenges, making it essential for the future of healthy and resilient cities
Machine Learning-Based Prediction of Load Capacity in Corrugated Concrete-Filled Double Skin Tubes under Axial Load
Concrete-filled double-skin steel tubular (CFDST) columns have become widely utilized in building construction and bridges, thanks to their exceptional structural capabilities. This study investigates the axial compression behavior of corrugated CFDST columns, analyzing the impact of flat or corrugated external/internal plates and varying internal steel tube widths. Furthermore, basic regression analysis fails to precisely forecast the complicated relation between the column properties and their compressive strength. To overcome these challenges, this study suggests two machine learning (ML) models, including the Gaussian process (GPR) and the extreme gradient boosting model (XGBoost). To estimate their strength, these models employ a range of input variables, such as the geometric and material properties of corrugated CFDST columns. The models are trained and evaluated based on two datasets consisting of 243 axially loaded corrugated CFDST columns have done by authors and past researches. This study proposed two machine-learning models to estimate the ultimate compressive strength of corrugated CFDST columns. The findings indicated that the GPR model outperformed the XGBoost model in predicting the bearing capacity of corrugated CFDST columns. Additionally, the Shapley Additive Explanation technique was employed for feature analysis. The outcomes of this analysis revealed that parameters such as section width and concrete strength positively influence the compressive strength index. This suggests that optimizing these parameters could significantly improve the design and performance of corrugated CFDST columns. Future research should focus on further refining these models and exploring additional factors that may affect compressive strength
The Degree of Academic Freedom Available at Al-Balqa Applied University among Faculty Members and its Relationship to their Social Responsibility from their Perspectives
The study aimed to assess the degree of academic freedom at Al-Balqa Applied University among faculty members and its relationship to their social responsibility from their perspective. First, it measured the degree of academic freedom, which consisted of 24 items distributed across three areas: freedom of expression, freedom of research, and freedom of teaching. Second, it measured the level of social responsibility, comprising 25 items. The study was conducted on a sample of 317 faculty members, selected through a simple random method. The results indicated that the degree of academic freedom at Al-Balqa Applied University among faculty members was high, and the level of social responsibility was also high. Additionally, there was a statistically significant positive correlation at the significance level (α = 0.05) between the degree of academic freedom and the level of social responsibility among faculty members. The study recommends that the university, through its faculties, hold intellectual dialogue meetings with faculty members