Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
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Item Restricted I'rab a case | إعْرَاب حالة(Pratt Institute, 2024-06-29) Al-Mubarak, Lojain; Gabriele, Cristina; Pharr, Frances; Echeverria, Maria GraciaThis exploratory study is the first to examine family-based treatment (FBT) adherence and association to treatment outcome in the context of a large-scale, multi-centre study for the treatment of adolescents with anorexia nervosa.In a world increasingly interconnected and influenced by globalization, many Arab-speaking communities in Saudi society are today seamlessly integrating English into their spoken and written communication. Through extensive code-switching (CS) between Arabic and English, a hybridized form of language is emerging, characterized by the fluid and dynamic fusion of both languages. This shift is radically transforming the linguistic landscape in Saudi Arabia, blurring the boundaries between the two languages and cultures. Shifting languages between Arabic and English means navigating between two distinct worlds and systems, each with its own set of ideologies and worldviews. In this linguistic transition, where do we find ourselves? Starting with the premise that language encapsulates, carries, shapes, and transforms, and is inseparable from culture, I embark on a journey to demystify this transformation within Generation Z Saudis. Through in-depth ethnographic and qualitative research, I seek to cultivate a space for exploration and dialogue, delving into the intricate codes of code-switching and its impact on cultural identity. Ultimately, this research seeks to investigate the interplay of language, culture, and Identity, and to spark discussions that challenge conventional beliefs about language hybridity.26 0Item Restricted Novice Arabic language Teachers’ Perceptions of their Preparation Programmes and their First Years of Practising Teaching in Saudi Arabia(Open Research Exeter, 2024-03-04) Maash, Wesal; Troudi, SalahThis study explores Arabic language teachers’ perceptions concerning their preparation programmes and their first years of teaching experience in the Kingdom of Saudi Arabia. The study is informed by the interpretive paradigm due to its exploratory nature. A mixed-method sequential design was utilised to collect the data. Quantitative and qualitative approaches were applied consecutively, with more emphasis on the qualitative strand. The study utilised reflective essays and one-to-one semi-structured interviews in the qualitative stage, in addition to an online questionnaire in the quantitative stage. Thematic analysis was conducted for qualitative data and descriptive statistics for the quantitative data. The analysis of both sets of data culminated in the emergence of two main themes: teachers’ perceptions of their preparation programmes and of their novice teaching experiences. The findings highlighted the issue of the admission system, the focus on the theoretical aspect, the neglect of the practical aspect, and the lack of focus on pedagogical content knowledge within these programmes. The findings also highlighted the challenges teachers encountered during the first years of the teaching profession and linked these challenges to their knowledge and preparation. The study concluded by proposing recommendations for the educational authorities and policymakers in Saudi teachers' education programmes.46 0Item Restricted Arabic Short Texts Authorship Verification(Saudi Digital Library, 2023-11-07) Alqahtani, Fatimah; Yannakoudakis, HelenAuthorship verification is the process of determining whether or not two pieces of writing are written by the same author by comparing their writing styles. Technically, it is a branch of the authorship analysis problem, and is considered to be a text classification task that results in (Yes or No) binary output. Despite the widespread usage of Twitter in the Arab world, short text research has so far focused on authorship verification in languages other than Arabic, such as English, Spanish, and Greek. Arabic, with its complex morphology, lack of capitalisation, and short vowels, presents unique linguistic challenges to verifying authorship. This thesis seeks to address that issue by applying different machine learning and deep learning techniques with focusing on extracting the most effective features to solve the problem of authorship verification for Arabic short writing. Due to the lack of publicly available data for this task, an Arabic Twitter corpus was compiled for 100 users, with a minimum of 1,000 tweets and a maximum of 3,000 tweets per user. Different features were used in order to investigate the most predictive features for authorship verification of Arabic short texts (specifically the tweets). This study explores the impacts of using different textual features, such as stylometric features, Term Frequency-Inverse Document Frequency (TF-IDF), Bag Of Words (BOW), and n-gram. A novel Arabic knowledge-base model (AraKB) was created to enhance the authorship verification of the challenging Arabic short texts that yielded promising results. In addition, different deep learning techniques were tested to identify their impact to verify authorship. Long Short-Term Model (LSTM) and Arabic Bidirectional Encoder Representations from Transformers (AraBERT) were applied separately, and resulted in different performance outcomes. In addition, an analytical analysis was done to see how meta-data from Twitter’s postings, such as time and device source, can help to verify users better. The experiments were conducted using different machine learning algorithms which are Gradient Boosting, Random Forest, Support Vector Machine, and k-Nearest Neighbour. The performance was measured using the most commonly used metrics for authorship analysis tasks, which are accuracy, precision, recall, and F1 score. The results provide evidence of the importance of choosing the right features based on the given texts, and indicate that no feature can be generalised to all types of data. To the best of the researcher’s knowledge, no study has been conducted on verifying Arabic social media texts. This study suggests that the ability to verify users on social media platforms provides solutions to different forensics and safety issues, and aids in the prevention of using fake identities to practice fraud, bullying, terrorism, and violence. This research is significant on the subject of digital forensics investigation and cyber safety.29 0