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التعرف التلقائي على شعراء الشعر العربي باستخدام تقنيات التعلم العميق (LSTM و Bi-LSTM)
No full textArabic poetry with its beauty, deep cultural importance and linguistic features, has always been a subject of attraction for scholars and readers. It attracted numerous researchers and writers to analyze and extract deep poetic features from various poems. As the literature review shows, there are numerous successful attempts to identify these traits and characteristics such as categorizing the used poetry metric and identifying the poets behind these poems.
In our research, we introduce a comprehensive approach to Arabic poetry text classification using deep learning techniques. We have used an almost one-million record dataset of Arabic poetry verses extracted from a poetry encyclopedia. These verses are labeled with different nine poets and cover both classical and modern poetic styles.
Due to the complexity of Arabic poetry such as the excessive use of metaphors, figurative language, unlimited imagination, and the diversity of styles from one poet to another and from one poem to another, we tackle these challenges by careful employment of preprocessing steps, feature engineering and selection. We also explore a range of algorithms, including traditional classifiers and deep learning models, to determine and select the most suitable and accurate models of identifying poets' names from the verses.
We have decided to employ LSTSM and Bi-LSTM as our main baseline models. The reason behind selecting such models is observing a concentration on RNN (Recurrent Neural Network) and its variants when it comes to text classification. LSTM has proven its capability for sequential data analysis in many different languages.
Our reported results have shown promising classification accuracy with an average of 92.35%. This sheds some light on the feasibility of automating the classification of a morphologically complex language text (Arabic). Bi-LSTM has slightly outperformed the classic LSTM in normal situation with average accuracy of 92.15% and 92.56% for LSTM and Bi-LSTM respectively. We discuss what would be the impact of our research findings on Arabic literature in particularly Arabic poetry. We also address the challenges associated with this study
The Influence of Chatbots on Customer Satisfaction in the Banking Sector
No full textTechnology has overtaken the world through artificial intelligence (AI) in this digital era. UAE has been one of pioneers to implement AI-enabled chatbots in its banking sector. The purpose of this thesis was to investigate the influence of chatbots’ service quality on customer satisfaction in UAE’s banking sector. Technology Acceptance Model 2 (TAM 2) was used to better understand the topic under investigation. The thesis used qualitative research, employing stratified purposeful sampling and expert interviews with bank customers. The sample size for this thesis was determined to be 25, sufficient to achieve data saturation. Overall, a total of eleven major themes and sixteen sub-themes emerged from the gathered data, resulting in seven aggregate dimensions. The thesis developed a conceptual framework identifying factors causing customer satisfaction over time, with experience, and increased exposure when they interacted with chatbots. It contributed to the progression of TAM 2 with new determinants of its existing variables emerging as a result of this thesis; chatbot service quality, customer satisfaction, responses and intentions, chatbots replacing humans, implementing right infrastructure, emotional connection and safety, trust and privacy of interaction. Results highlighted that chatbots have an influence on customer satisfaction in the banking sector of UAE. Banks must devise new strategies to satisfy customers by providing them easy to use services, improving chatbot service quality. Developing emotional bonds with chatbots can cultivate deeper connections with customers, improving trust, loyalty and favourable experiences. Embedding chatbots with emotional intelligence can enrich customer engagement, adding value to the banking services offered
An Investigation of the Development and Implementation of Teacher's Licensing in Saudi Arabia Based on Local Stakeholders’ Perceptions, Compared with International and Regional Practices
No full textThis open access book presents contributions on a wide range of scientific areas originating from the BUiD Doctoral Research Conference (BDRC 2023)Saudi Arabia- is moving steadily toward Vision 2030. Accordingly, the Educational & Training Evaluation Commission (ETEC) has teamed up with the Ministry of Education in Saudi Arabia to update and raise the ‘Teacher Licensure Programme’ bar.
Purpose- The study aimed to investigate the development and implementation of the 2019 teacher licensure program in Saudi Arabia.
Methodology- The study adopted the exploratory sequential mixed method. The paper consisted of three stages. Initially, six policies were reviewed to compare international, regional, and local licensures. Second, the study collected quantitative data from 300 teachers from public schools through an online survey. The last stage collected qualitative data through a school leaders’ questionnaire.
Findings- Stage one findings were linked to international and regional practices. A comparative study revealed a lack of career development at the college level and during in-service training in Saudi Arabia. Furthermore, there is a need for a standardized teacher evaluation system that includes constructive feedback and reflection. Based on stage two findings, teachers expressed negative views regarding the current licensing programme. In addition, stage three findings confirmed stage two results from the perspective of school leaders and policymakers.
Implications- Educators should consider building long-life learners by aligning licensing standards with the exam and desired outcomes, ensuring stakeholders’ involvement, create a continuous PD program.
Originality/value- This study filled a critical gap in the theoretical field of teacher licensing in the Gulf Region. Additionally, the research suggested a flexible framework based on the best practices and the perceptions and experiences of the stakeholders. The framework asserted that the licensing examination is one of a number of methods for evaluating teachers
Evaluating the Effectiveness of a Behavioural Training Programme for Primary School Teachers in Al Dhafra Private Schools to Modify the Behaviour of Students With ASD
No full textThis study aims to evaluate the effectiveness of a behavioural training programme for primary school teachers at Al Dhafra Private Schools in modifying the behaviour of students with Autism Spectrum Disorder (ASD). Despite the increasing prevalence of ASD, teachers often lack the necessary training to effectively support these students in educational settings. Using a mixed-methods approach, the study explores teachers' perceptions, experiences, and beliefs regarding the programme's impact on supporting students with ASD. The research objectives include assessing the overall effectiveness of the programme, exploring teachers' experiences with implementing strategies, investigating the influence on student outcomes, and identifying successes and challenges in implementation. Quantitative data were collected through questionnaires distributed to 30 teachers, while qualitative data were gathered from in-depth interviews with six selected teachers. The data were analysed using the Statistical Package for the Social Sciences for the quantitative data and thematic analysis for the qualitative data.
The quantitative results revealed a significant positive impact of the training programme, with 92.0% of the teachers reporting improved knowledge and 91.4% exhibiting more positive attitudes towards students with ASD. Additionally, there was a high level of teacher confidence in applying behaviour modification techniques, particularly Applied Behaviour Analysis (ABA), post-training. The qualitative data supported these findings, indicating significant improvements in student behaviour, social skills, and attention as perceived by the teachers. The teachers effectively utilised various behaviour management strategies, such as visual supports and token economy systems, despite facing challenges like time constraints and administrative burdens.
This comprehensive analysis aims to determine the significance of the relationship between the training programme and student outcomes, providing valuable insights to enhance teacher preparedness and support inclusive education for students with ASD. The findings contribute to the improvement of educational quality and student well-being at Al Dhafra Private Schools.
Keywords: Autism Spectrum Disorder, behavioural modification, primary school teachers, inclusive education, student behaviou
Impact of Ethical Decisions on Sustainable Development Related to Social Issues in the UAE
No full textUnderstanding the role of leaders in projects is as important as the success expected to be achieved in the end. As a result, leadership styles, leadership commitment, ethical decision-making and ethical leadership principles have an important role to play when handling engineering projects with the aim of attaining sustainable development and handling social issues surrounding the project. Regression analysis done with the beta is 0.319, and its p-value is 0.002, which is less than the 0.05 cutoff p-value, leading to the conclusion that ethical decision-making has a significant effect on sustainable development and related social issues in the UAE. On considering whether leadership styles have any significant effect on sustainable development and related social issues in the UAE, the results indicated that truly, leadership styles do impact sustainable development and related social issues. Regression analysis yields a beta of 0.452 and a p-value of 0.004, below the cutoff p-value of 0.05, leading to the conclusion that leadership styles do affect sustainable development. At the same time, regression analysis with the beta is -0.14, and its p-value is 0.023, less than the 0.05 criterion, leading to the conclusion that leadership commitment has a significant effect on sustainable development and related social issues. On the same note, regression analysis yields a beta of 0.24 and a p-value of 0.001, below the cutoff p-value of 0.05, indicating that ethical leadership principles have a significant effect on sustainable development and related social issues
Connection - Issue 4 Summer 2024
No full textTable of Contents
Students Articles
01 The Innateness Theory - Nature vs Nurture / Abdulsalam Alturk
04 Customer Loyalty in the Context of Governance and Corporate Social Responsibility / Abeer Al Yammahi
07 Unlocking Student Potential: How the Harkness Method Transforms Secondary Education / Amr Elshemy
10 Exploring the Link Between Business Profitability and CSR Strategy / Dalia Barrani
13 Characters as Mirrors: Reflections of Reality Through Literature / Fakeha Ansari
15 From Diapers to Dissertations: A Mom's PhD Journey / Farrah Zafar
17 Collectivism vs Individualism / Noor Al Swailmeen
20 The Three Big Greek Philosophers / Rand Abu Sirdaneh
24 Navigating the Tides of Change / Sally Abdel Gawad
26 Navigating the Middle / Vanessa Fernando
29 Free Will and How it Affects Good and Evil / Wafiq Abo Daken
Academic Articles
32 Podcasting: The Subtle Art of Conversation / Professor Chris Hill
33 Academic Excellence Meets Industry Relevance / Dr Rekha Pillai
34 Breaking Through First Time Anxiety / Dr Nahia Moura
No Title
No full textCorrective Feedback (CF) in the second language (L2) Writing is deemed one of the most contentious topics in the field of L2 writing research. Various questions pertaining to the topic are still actively discussed and debated by researchers in the pedagogical landscape. The present study is endeavoring to investigate the effectiveness of direct and indirect CF in treating three recurrent grammatical errors (use of the subject-verb agreement, preposition and definite article) among Intermediate level Arabic L2 learners in the UAE, understand their perceptions regarding the provided CF and comprehend the factors that affect their engagement with the provided CF. Furthermore, the study is designed to examine the short-term and long-term effects of the provided feedback through a quasi-experiment involving four stages of pre-test, immediate post-test, post-test and a delayed post-test spanning 2 months. By way of including a delayed post-test, the researcher intends to find out the retention of the provided feedback in improving writing accuracy. To obtain a holistic perspective, a mixed method approach is chosen and the opted instruments are quasi-experiment, questionnaire and semi-structured interview. Upon analyzing the data, it was observed that the participants treated with direct feedback exhibited significant improvement in the target errors, followed by the indirect feedback group in the quasi-experiment. Moreover, the participants revealed their strong preference for direct feedback in the interviews and the surveys. The obtained results are expected to contribute significantly to the existing literature and aid L2 instructors, learners, policy-makers and other researchers in the field
Impact of Disruptive Innovation on Business Performance: Mediating Role of Crisis Management and Resilience
No full textWith the advent of disruptive innovations, traditional business models in the commercial banking sector of the United Arab Emirates (UAE) are encountering substantial uncertainties. These uncertainties resemble internal business crises, necessitating effective crisis management strategies and the enhancement of organisational resilience. However, the existing literature lacks a thorough examination of the intricate relationship between disruptive innovation, crisis management and organisational resilience, particularly within the banking sector. This study aims to fill the existing void in the literature. This study is based on a positivistic philosophy and employs a deductive, quantitative approach. A meticulously designed seven-point Likert scale survey was distributed to employees of commercial banks throughout the UAE. The data yielded significant findings through the utilisation of sophisticated analytical tools, such as IBM SPSS, Version 21, and SmartPLS 3.0. Based on the results, one significant finding of this study is the strong positive relationship between disruptive innovation and business performance. This highlights the transformative potential of disruptive innovations in enhancing competitive advantage and supporting long-term growth. Additionally, the research emphasises the crucial roles of organisational resilience and crisis management in navigating challenges and capitalising on opportunities presented by disruptive innovations. Importantly, a synergistic relationship was observed between organisational resilience and crisis management, highlighting the significance of resilient organisations in effectively mitigating and managing crises. This study makes significant contributions to the existing literature in three ways. Firstly, it contextualises the interplay between disruptive innovations, crisis management and organisational resilience within the UAE banking sector, an area that has been largely overlooked. Secondly, it enhances the understanding of the multifaceted impact of disruptive innovation on business performance, particularly within the banking industry. Finally, the study emphasises the importance of organisational resilience and crisis management in successfully navigating the challenging landscape of disruptive innovations. In conclusion, this thesis comprehensively examines the complex relationship between disruptive innovation, organisational resilience, and crisis management within the UAE banking sector. The insights gained highlight the importance of banking institutions strategically positioning themselves so as to withstand the challenges posed by disruptions and to leverage them as catalysts for growth and innovation
The Role of Artificial Intelligence Technologies in Activating Educational Administration in the United Arab Emirates: An Applied Study on Private Schools in the Emirate of Sharjah
No full textThis study examines the role of artificial intelligence (AI) in enhancing educational administration within private schools in Sharjah, UAE. Recognising the gap between the potential benefits of AI and its actual implementation, the study utilises a mixed-methods approach, incorporating data from a survey of 108 teachers and administrators, and a comprehensive review of relevant literature. The analysis focuses on the impact of AI on data analysis and decision support, resource management, administrative efficiency, and leadership practices. The findings reveal a significant positive correlation between AI implementation and improved administrative efficiency, particularly in areas such as student performance data analysis and decision-making accuracy. However, challenges related to infrastructure, resources, and ethical considerations, including data privacy and potential bias, are acknowledged as potential barriers to effective AI adoption. The study advocates for the continued integration of AI in Sharjah's private schools while emphasising the importance of addressing these challenges to fully realise AI's transformative potential in creating a more data-driven and efficient educational system
The Impact of Job Satisfaction on Teachers’ Performance in the UAE
No full textThis open access book presents contributions on a wide range of scientific areas originating from the BUiD Doctoral Research Conference (BDRC 2023)Job satisfaction greatly affects job performance. This is of a prodigious value in education as the teachers’ performance impacts the quality of education and thus the Human Development Index (HDI) of the nation.
Purpose: to investigate the effect of job satisfaction on the performance of teachers in the United Arab Emirates (UAE) utilizing a scale that was used in business management previously.
Methodology: The research used a quantitative empirical method, whereby the impact of the independent variable (teachers’ satisfaction) was measured on the dependent variable (teachers’ performance). The data used was primary data collected via a survey distributed to a convenient sample. Respondents included 112 teachers working in UAE. SPSS application was used for data analysis. Reliability, factor analysis and construct validity were tested, and shown adequate sample and reliable tool. Regression model was applied, in order to test the two developed hypotheses.
Findings: revealed that job satisfaction is associated with job performance among teachers.
Implications: Results may help decision makers to enhance the teachers’ satisfaction in order to improve teachers’ performance