Arabic Research Articles

Arabic language teachers’ beliefs and practices of using evidence-based practices for students with learning disabilities in the UAE: a mixed-methods study

Arabic language teachers’ beliefs and practices of using evidence-based practices for students with learning disabilities in the UAE: a mixed-methods study

The Impact of Language Immersion on Developing Arabic Language Skills in Non-Native Learners: A Descriptive Study

The Impact of Language Immersion on Developing Arabic Language Skills in Non-Native Learners: A Descriptive Study

Pendidikan Islam pada Zaman Klasik: Masa Rasulullah Saw dan Khulafaur Rasyidin

Islamic education was crucial in fostering a robust Islamic culture during the Khulafaur Rashidin era (11-40 AH/632-661 AD). The caliphs, including Abu Bakr Ash-Shiddiq, Umar bin Khattab, Uthman bin Affan, and Ali bin Abi Talib, continued the Prophet's purpose of spreading Islam, strengthening faith, and building a just and civilised society. The Hadith and the Quran are the main sources of knowledge, covering topics like as religion, ethics, legal concepts, and the Arabic language. Mosques often incorporate teaching methods like as examples, discussions, lectures, and question and answer sessions. This study employs a qualitative methodology that focuses on historical and descriptive analysis. The data were gathered by conducting a comprehensive review of primary and secondary sources pertaining to the Khulafaur Rashidin era. The historical documents underwent interpretation and critical evaluation, while the perspectives of historians were compared. The caliphs systematised the Quran, implemented a structured administrative framework, and facilitated the spread of education to additional regions such as Persia, Egypt, and Sham. The institutionalisation of education commenced with the advent of madrasas and kuttabs. Education not only emphasised religion but also incorporated diverse fields to cultivate an enlightened and virtuous society. The education system established during the period of the Khulafaur Rashidin played a crucial role in the future advancement of Islamic education. It produced a generation of Muslims who were well-equipped to confront the problems of their era and make valuable contributions to human civilization. The current state of Islamic education demonstrates that the integration of religious principles and scientific knowledge may cultivate persons with robust moral character and exceptional abilities.

Implementation of the Use of Instagram @gramatika_arab in Developing Arabic Language Skills for Students of Arabic Language Education of UIN Sunan Kalijaga

Instagram is one of social media equipped with various features and used as a medium of information and communication. One of its functions is to make it easier for Arabic learners to access Instagram accounts that provide several audio-visual-based Arabic content. This research is a qualitative content analysis with Instagram @gramatika_arab as the subject. Data sources in this study consist of primary data sourced from Instagram @gramatika_arab and secondary data in the form of several scientific journals relevant to this study. The data collection method used is the documentation method while data analysis is carried out during the research. The results showed that Instagram @gramatika_arab become one of the accounts providing audio-visual based Arabic content that is widely accessed by Arabic language learners, especially for students of state islamic universities in Indonesia. It is even accessed by several other countries such as Malaysia, Thailand, and Morocco. Content in the form of Arabic quizzes, pamphlets, and handwriting can attract and facilitate Arabic learners in understanding the material. In addition, Arabic language learners can easily access these contents anytime and anywhere.

Lung Cancer Screening Health Belief Model: Psychometric Properties of the Arabic Version and Factors Influencing Screening and Prevention Among Jordanians.

Several screening models have recently been applied to study awareness and help people make informed decisions regarding cancer screening. This study aimed to explore the knowledge, attitudes, and lung cancer screening health beliefs (LCSHBs) among Jordanians. Moreover, we intended to translate the LCSHBs scale into the Arabic language and test its validity and reliability. An online survey (Google Forms) was completed by 916 participants in Jordan via snowball sampling technique from February 10, 2024, to March 2, 2024, assessing lung cancer screening knowledge, lung cancer preventive attitudes, screening-related health beliefs, and stages of screening adoption. Linear regression analysis, correlations, and non-parametric statistics were utilized for statistical inference. Participants had high mean percentage scores of 86.56% and 85.75% for knowledge and preventive attitudes towards lung cancer screening, respectively. The Arabic version of the LCSHBs model was found to be a valid and reliable tool, as indicated by principal component analysis extraction and Cronbach's alpha values. Lung cancer screening knowledge was positively associated with perceived benefits and negatively associated with perceived barriers to screening. Knowledge, perceived barriers, perceived risk of lung cancer, self-efficacy (SE) to screen, and lung cancer preventive attitudes were significantly associated with the perceived benefits of lung cancer screening (p<0.05). We also found that the higher the SE, the higher the physical activity and the lower the perceived barriers. The Arabic version of the LCSHBs model is valid and reliable for assessing health beliefs toward lung cancer screening. We recommend enhancing targeted interventions, educational outreach, and improving health insurance access to reduce lung cancer incidence in Jordan and promote screening behaviors.

Learning Assistance Program through puzzles to Improve Students' Arabic Language Skills

Learning Assistance Program through puzzles to Improve Students' Arabic Language Skills

Improved bidirectional attention flow (BIDAF) model for Arabic machine reading comprehension

Abstract Machine reading comprehension (MRC) refers to the process of instructing machines to comprehend and respond to inquiries based on a provided text. There are two primary methodologies for achieving this: extracting answers directly from the text or predicting them. Extracting answers involves anticipating the specific segment of text containing the answer, pinpointed by its starting and ending indices within the paragraph. Despite the increasing interest in MRC, exploration within the framework of the Arabic language faces limitations due to various challenges. A significant impediment arises from the inadequacy of resources available for Arabic textual content, which impedes the development of effective models. Furthermore, the inherent intricacies of Arabic, manifesting in its diverse linguistic forms including classical, modern standard, and colloquial, present distinctive hurdles for tasks involving language comprehension. This paper proposes an enhanced version of the bidirectional attention flow (BIDAF) model for Arabic MRC, constructed upon the Arabic Span-Extraction-based Reading Comprehension Benchmark (ASER). ASER comprises 10,000 sets of questions, answers, and passages, partitioned into a training set constituting 90% of the data and a testing set making up the remaining 10%. By introducing a new input feature based on parts-of-speech (POS) word embeddings and replacing Bidirectional Long Short-Term Memory (bi-LSTM) with bidirectional gated recurrent unit, significant improvements were observed. Eight different POS word embeddings were generated using both Continuous Bag of Words (CBOW) and Skip-gram methods, with varying dimensionalities. Evaluation metrics, including exact match (EM) and F1-measure, were utilized to assess model performance, with emphasis on the latter for its accuracy. The proposed enhanced BIDAF model achieved a remarkable accuracy of 75.22% on the ASER dataset, demonstrating its efficacy in Arabic MRC tasks. Additionally, rigorous statistical evaluation using a two-tailed paired samples t-test further validated the findings, highlighting the significance of the proposed enhancements in advancing Arabic language processing capabilities.

PENGARUH INTERAKSI EDUKATIF GURU SERTA DISIPLIN BELAJAR SISWA TERHADAP HASIL BELAJAR BAHASA ARAB

This study examines how student learning discipline and teacher-student interactions affect Arabic language learning results at SMP Queen Ibnu Sina Genteng in the 2023–2024 academic year. The study uses a pretest-posttest control group and a quasi-experimental approach. Purposive sampling strategies were used to choose 30 students for the experimental group and another 30 students for the control group. The Arabic language learning outcome is the dependent variable, whereas educational interaction and student learning discipline are the independent variables. The Wilcoxon Signed Rank Test and Mann-Whitney U Test (significance level of 0.05) are used to analyze the data from the interaction and learning discipline assessments that are part of the study instruments. The findings show that learning discipline and educational engagement have a major impact on Arabic language learning outcomes. The two variables have a positive association, as indicated by the Paired Sample T-Test's significant value of 0.000 (&lt;0.05). The students performed well, as evidenced by their average Arabic language acquisition outcome of 96.33. To sum up, learning discipline and teacher-student interaction are essential to improving Arabic language learning results at SMP Queen Ibnu Sina Genteng. signifikan interaksi edukatif serta disiplin belajar terhadap hasil belajar bahasa Arab . Uji Paired Sample T - Test menampilkan nilai signifikan 0 , 000 ( &lt;0 , 05 ) , sehingga ada ikatan positif antara kedua variabel tersebut . Hasil belajar bahasa Arab rata - rata siswa menggapai 96 , 33 , menampilkan hasil yang baik . Akhirnya , interaksi edukatif guru serta disiplin belajar berfungsi berarti dalam tingkatkan hasil belajar bahasa Arab di SMP Queen Ibnu Sina Genteng

Arabic pronunciation instruction

Abstract This study examined learner beliefs about Arabic pronunciation instruction and how classroom pronunciation practices affect learners’ speech comprehensibility. To this end, 10 native Arabic speakers and 16 English learners of Arabic with two different proficiency levels were recruited: novice high and intermediate, who answered questionnaires and provided samples for pre and posttests of comprehensibility. The results provided a lens through which to see the status of pronunciation instruction in Arabic language classes. The two groups of learners underlined the importance of pronunciation instruction for their learning, complained of a lack of useful pronunciation materials, and reported a desire to enhance their pronunciation accuracy. There was no change in the learners’ pronunciation on the basis of the learners’ pre- and post-test results assessing comprehensibility. Findings are discussed in relation to current research on the teaching of Arabic pronunciation to provide pedagogical implications.

Implementation of Direct Correction Technique in Improving Students’ Motivation towards Arabic Language Learning at MTs Muhammadiyah Pasui

Direct correction technique is part of the evaluation method that has an important role in improving language mastery, and has implications for increasing student motivation. This study aims to analyse whether Direct correction can increase students’ learning motivation in Arabic language learning with the object of research at Islamic Junior High School (MTs) Muhammadiyah Pasui. Then there are two problem formulations. First, what are the factors or obstacles that affect Arabic language learning at MTs Muhammadiyah Pasui. Second, how Direct correction increases the motivation of learning Arabic vocabulary of MTs Muhammadiyah Pasui students’. To answer the research problem, this research uses a descriptive Quantitative method with data collection methods using interviews and questionnaires. The analysis technique uses validity test and reliability test. This study concluded that first, students’ obstacles in learning are influenced by the lack of mufradat vocabulary and the majority of students’ have difficulty in reading the Qur'an, which has an impact on their inability to identify letters. Second, students’ lack of interest is influenced by students’ low level of understanding of the material, with the application of Direct correction teachers can measure students’ level of understanding and students’ can immediately correct mistakes after evaluation activities. Third, with the application of Direct correction the teacher is able to foster student learning motivation, the indicators are that students’ are active in learning, students’ pay more attention to learning, students’ become more excited and feel facilitated.

Design and Development of the Game "Kitabah For Kids" Augmented Reality Technology for Arabic language learning

Penelitian ini membahas tentang rancang bangun aplikasi "Kitabah for Kids" untuk mendukung pembelajaran bahasa Arab bagi anak-anak. Aplikasi ini dirancang untuk menyediakan media pembelajaran yang interaktif, menarik, dan sesuai dengan kebutuhan anak-anak. Dalam proses pengembangannya, penilaian dari para ahli di bidang desain dan konten pembelajaran menjadi input yang berharga untuk memastikan aplikasi ini memenuhi standar kualitas yang dibutuhkan. model pengembangan yang digunakan adalah pegembangan stanford university dengan tahapan empathy, define, ideate, prototype, dan test untuk merancang dan mengembangkan aplikasi "kitabah for kids" sebagai media pembelajaran bahasa arab untuk anak-anak. Hasil validasi dari para ahli menunjukkan bahwa aplikasi "Kitabah for Kids" telah mempertimbangkan dengan baik aspek desain dan konten pembelajaran bahasa Arab. Dari sisi desain, aplikasi ini dinilai intuitif, mudah diakses, dan mampu menjaga atensi anak-anak melalui fitur interaktif yang menarik. Sedangkan dari sisi konten, materi pembelajaran yang disajikan dianggap sesuai dengan kurikulum bahasa Arab yang berlaku, sehingga dapat menjadi sumber belajar yang efisien dan relevan. Meskipun demikian, masukan dari para ahli juga mengidentifikasi beberapa aspek yang perlu ditingkatkan, seperti penyempurnaan navigasi, struktur informasi yang lebih jelas, serta penambahan fitur interaktif lainnya. Dengan memperhatikan saran-saran tersebut, pengembangan aplikasi "Kitabah for Kids" diharapkan dapat menjadi alat bantu pembelajaran bahasa Arab yang efektif dan menyenangkan bagi anak-anak.

Automatic Gesture-Based Arabic Sign Language Recognition: A Federated Learning Approach

Featuring machine learning algorithms for recognizing hand gesture patterns adjusted for individuals with disabilities is an expanding trend in assisted living. This paper addresses the challenge of interpreting the semantics of image-based hand gestures by introducing a federated deep learning architecture for Arabic sign language recognition. The proposed model manages distributed learning through a client-server paradigm, wherein several edge nodes collaborate to jointly learn the discriminative features of confidential data without breaching its privacy. This model will enable more accessibility for people with deafness or impairment using image gestures. The federated learning procedure is primarily based on the ResNet32 deep backbone and federated averaging mechanism. The experimental results show the effectiveness of the proposed FL model, achieving an accuracy of 98.30% with 33 seconds on average for each client in a single training round. This demonstrates its high capabilities in recognizing Arabic sign language and improving the communication experience for people with disabilities.

AUTOMATED GESTURE RECOGNITION USING APPLIED LINGUISTICS WITH DATA-DRIVEN DEEP LEARNING FOR ARABIC SPEECH TRANSLATION

Gesture recognition for Arabic speech translation includes developing advanced technologies that correctly translate body and hand movements corresponding to Arabic sign language (ArSL) into spoken Arabic. This leverages machine learning and computer vision techniques in complex systems simulation platforms to scrutinize the gestures utilized in ArSL, detecting mild differences in facial expressions, hand shapes, and movements. Sign Language Recognition (SLR) is paramount in assisting communication for the Deaf and Hard-of-Hearing communities. It includes using vision-based methods and Surface Electromyography (sEMG) signals. The sEMG signal is crucial for recognizing hand gestures and capturing muscular activities in sign language. Researchers have comprehensively shown the capability of EMG signals to approach specific details, mainly in classifying hand gestures. This progression is a stimulating feature in extracting the interpretation and recognition of sign languages and investigating the phonology of signed language. Leveraging machine learning algorithms and signal processing techniques in complex systems simulation platforms, researchers aim to extract relevant traits from the sEMG signals that correspond to different ArSL gestures. This study introduces an Enhanced Dwarf Mongoose Algorithm with a Deep Learning-Driven Arabic Sign Language Detection (EDMODL-ASLD) technique on sEMG data. In the initial phase, the presented EDMODL-ASLD model is subjected to data preprocessing to change the input sEMG data into an attuned format. In the next stage, feature extraction with fractal theories is used to gather relevant and nonredundant data from the EMG window to construct a feature vector. In this study, the absolute envelope (AE), energy (E), root-mean square (RMS), standard deviation (STD), and mean absolute value (MAV) are the five time-domain extracted features for the EMG window observation. Meanwhile, the dilated convolutional long short-term memory (ConvLSTM) technique is used to identify distinct sign languages. To improve the results of the dilated ConvLSTM model, the hyperparameter selection process is executed using the EDMO model. To illustrate the significance of the EDMODL-ASLD technique, a brief experimental validation is made on the Arabic SLR database. The experimental validation of the EDMODL-ASLD technique portrayed a superior accuracy value of 96.47% over recent DL approaches.

Application of AI in Turkish Sign Language Translation: A Case Study of its Use and Purpose

In Turkey, around 3 million people have hearing impairments, and the shift to digital platforms during the pandemic has worsened accessibility challenges as websites and apps often ignore their needs. Research shows that 50% of hearing-impaired individuals struggle to understand written text due to Turkish Sign Language being their first language, with Turkish serving as a second language. Differences in grammar between Turkish and Turkish Sign Language, along with a limited sign language vocabulary, further hinder comprehension. To solve this, we developed AI-powered sign language translation systems that allow people who are deaf or hard of hearing to access digital content in Turkish Sign Language. SignForDeaf's system translates text into sign language videos using Natural Language Processing (NLP) and generates seamless videos with smooth word transitions. Currently, this system supports Turkish Sign Language, with future plans to include other languages like Arabic, American, British, and Finnish Sign Language. The system was designed in collaboration with sign language experts to ensure accuracy and an inclusive development of a digital environment.

Translate Arabic Text to Arabic Gloss for Sign Language

Arabic Sign Language (ArSL) is a language used by the deaf community across Arab countries, but the lack of familiarity with ArSL among the hearing population often leads to social isolation for deaf individuals. The structural differences between ArSL and spoken Arabic pose significant challenges for machine translation. In this study, we enhance Arabic to ArSL gloss translation by employing data augmentation techniques, expanding the dataset from 600 to over 23,328 samples using sequence-to-sequence transformer models. Our approach achieved a substantial performance improvement, increasing the BLEU score from 11.1% in the baseline model to 52.72% on original test set. The best model achieved a BLEU score of 85.17% on augmented data test, underscoring the effectiveness of data augmentation in enhancing ArSL translation quality.

Attitudes of the Harbi Arabic Speakers Toward their Dialect

This study explores the attitudes of Harbi speakers toward the Harbi Arabic dialect, a Bedouin dialect spoken in Saudi Arabia. Using a descriptive analysis approach, the research investigates how these speakers perceive their own dialect. The study employs a qualitative research design, with a sample of five females aged 20 to 27. The findings reveal that Harbi speakers are motivated to integrate into the social fabric of the Arras community, leading to convergence with other dialects. Overall, the results indicate positive attitudes of Harbi speakers toward their dialect. For future research, the researcher recommends expanding the sample to include male participants and broadening the scope to further validate the findings.

Arabic Curriculum Planning Management

This study aims to explore the management of Arabic curriculum planning in Indonesian higher education, focusing on the effectiveness of planning in addressing challenges in teaching and learning Arabic. Utilizing a qualitative approach and library research methods, the study analyzes literature related to curriculum management and its implementation at three higher education institutions. The findings reveal that the curriculum planning process involves stages of needs analysis, goal formulation, content development, teaching strategies, and evaluation, although the depth and approach vary between institutions. The study identifies that while the integration of technology into the curriculum has begun, the level of implementation differs. Multicultural aspects and labor market orientation are also focal points, with results showing that while some institutions have integrated modules for business and diplomatic Arabic, multicultural aspects remain limited. These findings underscore the need for a more holistic curriculum planning approach that is responsive to digital advancements and sensitive to cultural diversity and labor market needs. The study recommends developing a comprehensive curriculum management model to enhance the relevance and effectiveness of Arabic language learning in Indonesia.

Cognitive Integration and Its Manifestations Between the Arabic Language and the Sciences of the Qur’an

This study aims to highlight the role played by the Arabic language in the statement of the various sciences of the Qur'an, and to reveal what distinguished it from the status that made it qualified to be the language of the last Holy heavenly books. This is done by extrapolating the Quranic verses that highlight the status of Arabic, tracking what has been written about the sciences of the Qur'an and what has to do with the Arabic language, then analyzing that information; using books; to deduce the status of Arabic in the Qur'an and the limits of its relationship with its Sciences; in order to describe the results after extrapolating the information. The study reached the most important results: Arabic is considered an important basis in understanding the sciences of the book, such as the science of interpretation, and the verses of judgement, and Arabic facilitates the derivation of meanings, as in the science of Waqf and initiation., And its role in repelling suspicions.

Methods of Arabic Language Learning

implemented in educational settings, including the Direct Method, Natural Method, Grammar-Translation Method, Audiolingual Method, and Suggestopedia. A qualitative approach is employed to evaluate the strengths and weaknesses of each method, as well as their impact on students' language proficiency. The findings reveal that each method possesses unique advantages in enhancing Arabic language skills, with different emphases on aspects such as communication, grammatical understanding, and context of use. The Direct and Natural Methods are found to be effective in improving speaking and listening skills, while the Grammar-Translation Method provides a deeper understanding of language structure. Additionally, Suggestopedia offers an innovative approach through relaxation and motivation techniques. The study concludes that a combination of various methods, tailored to meet students' needs, can create a more comprehensive and effective learning experience in mastering the Arabic language.

A Semantic Study of the Beautiful Names of Allah and His Supreme Attributes

the correct understanding of God Almighty is not only the most necessary but the primary prerequisite of religious life, and knowledge of His names and attributes is also connected with this comprehension. Nonetheless, knowledge in this area has never been without significant and stormy adversities whereby many notions related to the names and attributes of God have become displaced and misinterpreted over time. Since Arab accent is crucial in appropriate understanding of these subjects Arabic is thus a powerful and key tool for dealing with these issues. Arabic language is relevant in this study in light of the fact that it is very relevant in crafting right conceptions of the aforementioned concepts. The language’s ignorance has led to many misunderstandings. The research entitled: ‘A Semantics Investigation of the Beautiful Names of Allah and the Supreme Qualities of Allah: A Pragmatic Analysis of Sahih Al Bukhari’. The importance of this issue cannot be overemphasized because it restores the original methodology of the early generations of approaching the understanding of the names and attributes of God. The purpose of this work is to recall the intentions of the first generations in the recognition of God’s names and qualities. I hope that this work helps fulfill the reason for the creation of humanity and jinn, as stated in the Quran: Thus, the Quran says:. existing and based,"Upon the authority of Allah, it stated: “And I did not create the jinn and mankind except to worship Me” Quran 51:56. For this study I carried out a comprehensive study of Sahih Al-Bukhari and its explanations and Arabic dictionaries for all the information on the topic to be sourced. It is made up of two major parts and is followed by the introduction and preface and contains findings from the study. Based on the method used in this piece of research, the analysis is analytical, because it is only possible to choose hadiths that are most discussed in scholarly conversations due to the fact that there is a large number of prophetic hadiths that refer to the names and attributes of Allah.