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The purpose of this paper is to discuss the progress of iRadio OUM over the years, the evolution of technology used and its overall significance to OUM’s continual growth and development.

Reports the results from web analytic data from previous years in terms of listening and downloading habits and trends. Reviews of how other institutions and/or organisations use podcasting or audio learning material in the teaching and learning process are also included.

Outlines the progress of iRadio OUM through the years in terms of content development, listening and downloading trends as well as research and development carried out. This paper summarises the changes in how segments are structured, produced and delivered. It also outlines the evolution of the technology used, mainly in terms of how content is delivered to the audience.

The scope of the paper is such that it only highlights the experiences of iRadio OUM alone.

Offers practical advice in terms of the planning, development and implementation of an educational internet radio for higher learning institutions.

This paper is written by key team members of iRadio OUM itself and highlights the experiences and ultimately the best practices discovered by actual web-broadcast practitioners and audio learning materials instructional designers.

Measuring internal response of online learning is seen as fundamental to absorptive capacity which stimulates knowledge assimilation. However, the evaluation of practice and research of validated instruments that could effectively measure online learning response behavior is limited. Thus, in this study, a new instrument was designed based on literature to determine the structural variables that exist in the online learning response behavior.

A structured survey was designed and distributed to 410 Malaysian students enrolled in higher-education institutions. The questionnaire has 38 items, all of which were scored using a seven-point likert scale. To begin with, exploratory factor analysis with three types of extraction methods (i.e. principal component, principal axis factoring and maximum likelihood) was used as the method for comparing the outcomes of each extraction method's grouping variables by constantly using a varimax rotation method. In the second phase, reliability analysis was performed to determine the reliability level of the grouping variables, and finally, correlation analysis was performed to determine the discriminant nomological validity of the grouping variables.

The findings revealed that nine grouping variables were retrieved, with all items having a good value of factor loading and communalities, as well as an adequate degree of reliability. These extracted variables have good discriminant and nomological validity, as evidenced by correlation analysis, which confirmed that the directions of relationships among the extracted dimensions follow the expected theory (i.e. positive direction) and the correlation coefficient is less than 0.70.

This study proposes a comprehensive set of questionnaires that measure the student's online learning response behavior. These questionnaires have been developed on the basis of an extensive literature review and have undergone a rigorous process of validity and reliability for the purpose of enhancing students' online learning response behavior.

This study's findings will aid academic practitioners in assessing the online learning response behavior of students, as well as enhancing the questionnaire's boost factor when administered in an online learning environment.

This paper aims to explore the role of social and cultural sustainability in shaping smart urban development in the Arab Region, focusing on three cities, i.e. Sharjah Sustainable City (UAE), Lusail Smart City (Qatar) and SEKEM (Egypt). The research looks into how cultural aspects are integrated into the United Nations 2030 sustainable development goals (SDGs) and their relationship in the achievement of SDGs and sustainable city pillars.

By following a mainly qualitative research approach and methodology of interviewing experts about the cities and carrying out an intensive literature review and case studies, this research analyzes the key cultural elements essential for the evolution of smart and/or sustainable cities. It highlights the importance of preserving cultural heritage, enhancing social cohesion and promoting inclusivity, all within the framework of the established sustainability standards.

By following a detailed approach to case studies and rigorous research methods, this study provides valuable insights for architects, urban planners, policymakers and researchers. The research highlighted the importance of engaging the communities and local population in the urban planning processes to ensure that the voices of potential residents are heard and that development projects meet the needs of the local population. The research also concluded that the formation of a social and sustainability index is crucial in the Arab Region.

The study’s utilization of secondary data and expert interviews may introduce biases, hence constraining the extent of analysis. Moreover, the concentration on a restricted set of towns may not adequately depict the variety of urban growth throughout the Arab region. Future studies would be enhanced by expanding their scope to include a wider range of case studies and utilizing mixed approaches to gain a more nuanced comprehension of sustainable strategies.

The findings offer a foundation for thoughtful and sustainable urban planning in Arab cities. The research emphasizes the vital connection between cultural preservation and sustainability goals and the importance of the inclusion of cultural dimensions in sustainability frameworks to create more inclusive and resilient smart cities.

The study illustrates that incorporating cultural values into urban planning promotes social cohesiveness and inclusivity, hence enhancing the sustainability and resilience of communities. This method guarantees that urban development is both ecologically sustainable and culturally considerate, promoting the conservation of local identities and customs.

This study deepens the understanding of how cultural preservation and sustainability intersect in urban development. It provides important insights that can guide the development of smart cities, particularly in the Arab region, by ensuring that cultural values are integral to sustainable urban growth.

The purpose of this research is to explore the transformative impact of AI-augmented tools on design pedagogy. It aims to understand how artificial intelligence technologies are being integrated into educational settings, particularly in creative design courses, and to assess the potential advancements these tools can bring to the field.

The research adopts a case-study approach, examining three distinct courses within a creative technology curriculum. This methodology involves an in-depth investigation of the role and impact of AI in each course, focusing on how these technologies are incorporated into different creative disciplines such as production design, fine arts, and digital artistry.

The research findings highlight that the integration of AI with creative disciplines is not just a passing trend but signals the onset of a new era in technological empowerment in creative education. This amalgamation is found to potentially redefine the boundaries of creative education, enhancing various aspects of the learning process. However, the study also emphasizes the irreplaceable value of human mentorship in cultivating creativity and advancing analytical thinking.

The limitations of this research might include the scope of the case studies, which are limited to three courses in a specific curriculum. This limitation could affect the generalizability of the findings. The implications of this research are significant for educational institutions, as it suggests the need for a balanced interaction between AI's computational abilities and the intrinsic qualities of human creativity, ensuring that the core essence of artistry is preserved in the age of AI.

The originality of this paper lies in its specific focus on the intersection of AI and creative education, a relatively unexplored area in design pedagogy. The value of this research is in its contribution to understanding how AI can be harmoniously integrated with traditional creative teaching methods. It offers insights for educational institutions preparing for this technological transformation, highlighting the importance of maintaining a balance between technological advancements and humanistic aspects of creative education.

As the 4th industrial revolution (4IR) unfolds, there is an increasing awareness that its implications for workforce transformation and shifts in workforce demand will profoundly impact the future of work. Specifically, the paper seeks to answer the following research questions: i) how does Students’ Industrial Work Experience Scheme (SIWES) equip young people for the real world of work, especially in the era of the third industrial revolution?; ii) does SIWES support the exposure of young people to the world of digitalization?; and iii) what are the effects of the SIWES exposure on the employability of young people? This paper aims to evaluate the University Internship system and preparation of young people for the world of work in the 4th industrial revolution.

This paper used a mixed method to unravel the objectives of this study, that is, quantitative and qualitative methods. For the former, structured questionnaires were used to elicit a response from 249 young people drawn from tertiary institutions across Lagos State, Nigeria. The latter used an in-depth interview method conducted among 45 respondents (25 employers of labor and 20 lecturers).

The findings reveal that: SIWES contributes meaningfully to the advancement of knowledge and capacity building among young people; SIWES exposes young people to the world of digitalization, depending on the organization where the internship takes place; and SIWES pays little attention to financial rewards and more attention to the acquisition of skills that are relevant to the world of work. The practical and policy implications of the findings are critically discussed.

This paper critically evaluates the SIWES policy amidst the growing threats of widening skills gap, greater inequality and broader polarization.

This study aims to investigate the evolving role and impact of ChatGPT in higher education. It seeks to understand the applications, benefits and challenges associated with ChatGPT, focusing on its potential to enhance teaching, learning and assessment while addressing ethical considerations in the educational context.

Using a comprehensive literature review approach, this study systematically examined 29 existing studies and scholarly works related to ChatGPT in higher education. Synthesizing these findings offers a multifaceted view of the subject, encompassing applications, advantages, limitations and ethical implications.

The study indicates that ChatGPT can have a significant impact on personalized learning, lesson planning, providing feedback, creating study materials, generating quizzes and exam questions, supporting language learning, offering virtual teaching assistance, tutoring and fostering critical thinking. However, it also sheds light on the ethical issues and challenges associated with its use, including privacy and data protection, transparency and alignment with educational principles.

This study underscores the practical applications of ChatGPT in higher education, offering insights that can significantly enhance teaching, learning and assessment practices. By leveraging ChatGPT, institutions can personalize learning experiences and provide tailored feedback and streamlined assessment processes, thereby improving student engagement and understanding. In addition, the integration of ChatGPT as a virtual teaching assistant can enhance teaching effectiveness and efficiency by supporting classroom activities, providing additional resources and answering students’ questions in real-time.

The originality of this study lies in its comprehensive exploration of ChatGPT’s applications in higher education, offering a balanced perspective on opportunities and ethical considerations. By providing valuable insights, it equips educators and institutions with a deeper understanding of the ChatGPT’s potential and challenges in the educational landscape.

This article describes a university administrator’s leadership experiences during the COVID-19 pandemic. Drawing upon a blend of authentic and servant leadership frameworks, the author argues that in times of crisis, a leader must focus on “self” and “other” related competencies in order to cultivate a sense of resilience. The author explores and reflects critically upon her short term and long term responses to the pandemic as a leader and discusses implications for helping future leaders build a sense of resilience.

This study aims to address the noted gap in comprehensive overviews detailing the developmental trajectory of Islamic finance (IF) as an interdisciplinary academic field.

The study introduces a unique approach using the combined methodologies of co-word analysis and main path analysis (MPA) by examining a broad collection of IF research articles.

The investigation identifies dominant themes and foundational works that have influenced the IF discipline. The data reveals prominent areas such as Shariah governance, financial resilience, ethical dimensions and customer-centric frameworks. The MPA offers detailed insights, narrating a journey from the foundational principles of IF to its current challenges and opportunities. This journey covers harmonizing religious beliefs with contemporary financial models, changes in regulatory landscapes and the continuous effort to align with broader socioeconomic aspirations. Emerging areas of interest include using new technologies in IF, standardizing global Islamic banking and assessing its socioeconomic effects on broader populations.

This study represents a pioneering effort to map out and deepen the understanding of the IF field, highlighting its dynamic evolution and suggesting potential avenues for future academic exploration.

Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students’ engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived autonomy (PA), digital informal learning (DIL) and students’ engagement.

The study collected survey data from 409 participants at Saudi Arabian universities, ultimately using 387 valid responses for analysis. This dataset was subjected to a thorough examination to confirm the validity of our proposed model. To decipher the complex interactions within our model, we utilized partial least squares structural equation modeling (PLS-SEM). The study adopted a disjoint two-stage method to formulate a reflective-formative higher-order construct (HOC).

The study's findings showed that cognitive learning (CL), metacognitive learning (MCL) and social and motivational learning (SML) are the essential components of DIL. Significantly, the study determined that AI competence, chatbot usage, PA and DIL markedly affect students’ engagement. Moreover, the R² value of 0.592 for student engagement indicates the model's robustness in explaining 59.2% of the variance, highlighting its effectiveness in identifying key drivers of student engagement in DIL contexts.

This research enhances understanding by detailing the intricate relationships among AI competence, chatbot usage, and students’ engagement in informal digital learning. It extends SDT to emphasize intrinsic motivations and AI capabilities, introducing reflective-formative HOCs for comprehending educational intricacies. It provides practical strategies for enhancing AI abilities and chatbot use in education, promoting personalized, engaging and autonomous digital learning spaces, thereby advancing educational theory and practice.

Purpose – The purpose of this research is to synthesize modified thermoplastic sago starch (TPS) through in-situ mechanism by reacting sago starch with diphenylmethanediisocyanate (MDI) and castor oil simultaneously, resulting in a more homogenous and finer-sized polyurethane prepolymer (PUP).

Design/Methodology/Approach – The methods used were Thermal Gravimetric Analysis (TGA) and Differential Scanning Calorimetry (DSC) for thermal characterization and stability of PUP, modified TPS non-extracted and extracted with toluene and water.

Findings – TGA test results presented shows that PUP begins to decompose thermally at a temperature of 300–500 °C. Weight loss occurs rapidly between these temperatures and is completely discharged at a temperature of 500°C, which is called weight loss transition.

Research Limitations/Implications – When extracted with toluene and a water solvent, the melting point and latent heat of fusion slightly decreased; however, it is still higher than the original value of sago. In terms of thermal stability, modified TPS decomposes and loses weight at 150–200 °C in small quantities, continues with weight loss rapidly, and is completely discharged at 500°C. The thermal stability is considered high; thus, modified TPS application can be varied.

Practical Implications – DSC analysis and TGA shows that modified TPS has good thermal characteristics and thermal stability. Modified TPS has a melting point of 104.69°C, and the latent heat of fusion (ΔH) is 234.27 J/g. This value is close to the PUP melting point and latent heat of fusion, which reveals the formation of cross-link between the starch and PUP.