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Oil and gas industries play a major role for the growth of world economy, and drilling operation is considered as most important and hazardous procedure at the same time for oil and gas drilling crew because of the lack of effectual and user-friendly safety and health teaching and learning aids with updated knowledge and training capability. According to the previous studies, there is an urgent industrial need for user interactive technological aid for enhancing the teaching and learning of oil and gas drilling crew and safety officials at onshore and offshore drilling domains to fulfill the requirements of fourth industrial and educational revolutions. Therefore, this proposed virtual reality (VR)-based Hazard Free Operation (HAZFO Expert 2.0) teaching and learning aid to reduce the workplace risk and hazards to enhance the vestibule and experiential learning performance of oil and gas drilling process at Pakistani drilling industries.

In this proposed product based study for interactive teaching and learning application for industry, sequential explanatory research design will be adopted to prevent the accidents according to the modern technologies in this era of IR 4.0. Whereas, for the development of VR-based educational aid for Pakistani oil and gas industries, Autodesk 3ds Max, visual studio and MySQL software’s will be used.

This new concept of VR-based interactive educational aid (HAZFO Expert 2.0) for accident prevention at oil and gas drilling industries will be based on potential hazards and their suitable controlling measures for onshore and offshore drilling sites.

VR-based interactive educational aid for oil and gas workforce will facilitate the health and safety professionals for the elimination of potential hazards associated with oil and gas drilling activities to the next level of identification of hazards which has been identified in HAZFO Expert 1.0 at onshore and offshore drilling sites.

This proposed VR-based interactive educational aid for safe drilling process will be the first visual teaching and e-learning technology which covers all onshore and offshore drilling operations in Pakistani oil and gas industries and provides effective hazard controlling strategies to overcome challenging industrial hazards.

The purpose of the study is to classify the radiographic images into three categories such as fillings, cavity and implant to identify dental diseases because dental disease is a very common dental health problem for all people. The detection of dental issues and the selection of the most suitable method of treatment are both determined by the results of a radiological examination. Dental x-rays provide important information about the insides of teeth and their surrounding cells, which helps dentists detect dental issues that are not immediately visible. The analysis of dental x-rays, which is typically done by dentists, is a time-consuming process that can become an error-prone technique due to the wide variations in the structure of teeth and the dentist's lack of expertise. The workload of a dental professional and the chance of misinterpretation can be decreased by the availability of such a system, which can interpret the result of an x-ray automatically.

This study uses deep learning (DL) models to identify dental diseases in order to tackle this issue. Four different DL models, such as ResNet-101, Xception, DenseNet-201 and EfficientNet-B0, were evaluated in order to determine which one would be the most useful for the detection of dental diseases (such as fillings, cavity and implant).

Loss and accuracy curves have been used to analyze the model. However, the EfficientNet-B0 model performed better compared to Xception, DenseNet-201 and ResNet-101. The accuracy, recall, F1-score and AUC values for this model were 98.91, 98.91, 98.74 and 99.98%, respectively. The accuracy rates for the Xception, ResNet-101 and DenseNet-201 are 96.74, 93.48 and 95.65%, respectively.

The present study can benefit dentists from using the DL model to more accurately diagnose dental problems.

This study is conducted to evaluate dental diseases using Convolutional neural network (CNN) techniques to assist dentists in selecting the most effective technique for a particular clinical condition.

Internet technology in the classroom has become the primary demand of every student in this era. Moreover, information and communication technology aids students' learning involvement and progress by providing learning assistance by improved instructor, pupil and interactions with fellows. Using an asynchronous Web-based learning environment (WBLE) is one way to manage such assistance. This study aims to identify to what extent the asynchronous WBLE affects students' interest and motivation in learning mathematics at Shah Abdul Latif University (SALU), Khairpur.

This research uses a survey research design under a quantitative approach. Therefore, data are collected through a questionnaire about students' motivation and interest in learning mathematics via asynchronous WBLE. Data are collected from the students of four departments (BEd, BSCS, BBA, BS Mathematics) of SALU, Khairpur. However, as the nature of this study is quantitative, both descriptive and inferential statistics were used in the results and discussion, and a one-way ANOVA test was used. The Cronbach alpha test was also used to assess the item's reliability, and the items were found to be acceptable.

The findings of this study discovered that asynchronous WBLE has a significant impact on students' intrinsic, extrinsic and interest levels. The results indicated that there is a positive impact based on the level of mean range of asynchronous WBLE on mathematics students.

The outcome of this study can be used as a guideline to understand and further plan or develop educational interventions based on the level of motivation and interest of mathematics students towards asynchronous WBLE in other contexts.

This is first study of its nature in the context of Khairpur district of Sindh that emphasizes on the motivation and interest of mathematics students toward asynchronous WBLE.

The purpose of the study was to evaluate the impact of Introduction of Smart Teaching and Learning (INSTAL) project on students' academic achievements in terms of students' science scores. Information and communication technologies (ICT)-based initiative was introduced in Sindh Education Foundation (SEF) schools at District Khairpur, Sindh, Pakistan. The aim of the study was to identify whether science test scores of students have been improved with the use of INSTAL facility at schools or remained the same at SEF-supported schools.

The quantitative research approach has been used in the current study, and within it a quasi-experimental research design was employed. The descriptive (mean, standard deviation) and inferential statistics (independent sample t-test and paired sample t-test) were computed to find the pre- and post-difference in science scores of students. Both primary and secondary data were used. The primary data were gathered through questionnaire from 48 science teachers. Whereas, secondary data of 382 students who used ICT-based facility under INSATL project for two academic years were taken from quality assessment test (QAT) scores conducted by third party in SEF-assisted schools in District Khairpur.

The findings of the study revealed that the students' science scores improved by 10% in one year and 23% in two years with the use of ICT-based facilities under INSTAL project. Also, it can be concluded from the results that ICT has a positive as well as statistically significant impact on students' science learning by using INSTAL facility in schools. Results of the study show that students' level of interest toward learning science has been enhanced by the use of ICT.

As the world is rapidly moving toward digitalization, the modes of teaching and learning have been changing. ICT plays a very significant role in the betterment of education. ICT helps to achieve socio-economic development of a country. However, Pakistan, being a developing country, has not that much resources, and ICT-based learning is not common in Pakistan. Therefore, it is very important to be aware people about the usage of technology in teaching and learning. The present study is an attempt to create such type of awareness. Moreover, the current study may be the first kind of study in the context of Pakistan which used TPACK as theoretical framework, and this study may contribute to the body of knowledge in the context of ICT.

Implementing ICT-based software for teaching and learning in rural context of Pakistan was a challenging task, but it has brought positive results in terms of student's achievement. This may be the first study that has been conducted in the context of adopted schools of SEF.

This paper holds considerable importance in the educational dynamics specifically ChatGPT as generative multimedia in English language writing pedagogy and presents a unique lens, as it uses a narrative literature review to view this cutting-edge topic. This paper compiles the knowledge and information already available regarding the views and integration of ChatGPT in English writing pedagogy. This review attempts to determine the potential that ChatGPT provides for improving pedagogical practices and facilitating individualized learning by looking at the experiences and viewpoints of educators. Simultaneously, it addresses the crucial challenges educators must overcome to optimize the advantages of artificial intelligence (AI) while preserving academic fairness and honesty. The ultimate goal of this paper is to offer a nuanced understanding of ChatGPT’s role in education, especially in English language writing pedagogy, educating researchers, teachers and policymakers on how to integrate generative multimedia successfully AI into teaching and learning and aiding in the creation of inclusive and more effective teaching strategies.

The review was done using a narrative approach by analyzing the latest international and national studies, research papers, blog posts, newspaper articles and documentaries, and by collecting the data, facts, figures and pictures. This narrative literature review approach provides a contextual understanding of how different English language teachers view ChatGPT in English writing pedagogy allowing for a comprehensive synthesis of data about its opportunities and challenges as well. It also helps in finding patterns and gaps in the body of knowledge, directing future studies and emphasizing areas that require more research, which is important for this new cutting-edge invention. The narrative approach, in contrast to systematic reviews, enables a detailed qualitative analysis that is necessary for delving into complex topics. This review offers useful insights into the prospects and practical challenges of integrating ChatGPT in English language writing pedagogy by concentrating on the experiences of teachers. The narrative literature review is a useful and relevant means of comprehending and using AI in educational settings since its ultimate goal is to synthesize current knowledge and provide practical recommendations for teachers, students, administrators and, last but not least, policymakers for the effective integration of ChatGPT as generative multimedia specifically in the English language writing pedagogy.

Grounded on findings, it is essential to mention here that ChatGPT holds immense value in terms of English language writing pedagogy. The findings deal with the three research questions: each research question has a main theme followed by sub-themes about the views of teachers on ChatGPT integration into English writing pedagogy, its benefits and, last but not least, challenges; however, very few traces of AI have been found in the early most downloaded Language learning apps, but ChatGPT covers it all with the features like personalized learning, contextually adaptable feedback, human-like conversational skills and preparation of standard tests, which make ChatGPT stand apart and stand tall in the race of new AI inventions. On the contrary, the paper identifies vital challenges associated with ChatGPT. First, there is a severe concern that students’ creativity may be at risk. Second, the concern of data privacy is a critical consideration. Finally, dealing with the trust issue of English language teachers regarding the use of ChatGPT for English language writing pedagogy and, last but not least, the paper also talks about low digital literacy as an additional challenge to integrating ChatGPT in educational settings. The incorporation of ChatGPT is not only a new trend but also a door to future AI wonders, so the education community needs to make the most of it.

The paper has broad implications that address multiple aspects of educational theory, practice, policy and future research when incorporating AI systems such as ChatGPT into English language writing pedagogy. The findings imply that ChatGPT can result in more dynamic and customized learning experiences, which has important implications for improving English language writing pedagogy with the integration of ChatGPT. AI can help teachers customize lessons to each student’s needs, which could increase student engagement in writing classes and improve learning results. Additionally, for the school administration and policymakers, the integration of ChatGPT depends upon access to smooth internet connection and other resources needed for effective learning of the students. Policymakers can develop policies as per the changing needs of the hour by providing professional development training to the teachers for the incorporation of AI inventions such as ChatGPT for English language writing pedagogy. Furthermore, the research also highlights significant ethical and policy issues, especially those dealing with academic integrity. Policies by the administration and teachers must be developed to stop students from misusing ChatGPT and to guarantee that AI tools are applied morally and responsibly in educational contexts because students can utilize the tool to complete assignments in an unethical manner.

This narrative literature review is unique as it provides insights into the new invention of OpenAI ChatGPT from the education perspective, specifically about the teaching of English language writing pedagogy, and offers some exciting revelations that have not been done previously.

In the current period quality assurance (QA) and technical vocational education and training (TVET) are known as the two comprehensively examined ideas in schooling, dependent on exceptional abilities in this modern era of Industrial Revolution (IR) 4.0. The incapability or need for QA of technology-oriented programs has been dissected by policy makers as a hindrance in accomplishing the TVET objectives. Consequently, the reason for this exploration paper was to contemplate over the impact and association of QA on TVET programs and level of preparedness of TVET teachers for the market of IR 4.0 in Pakistan.

In this study a quantitative research method with survey-based research has been used whereas, two research questions and hypotheses were structured and explained to lead the study. The research sample was 475 TVET teachers having technical competence for Pakistan using the random sampling technique. The instrument was an adapted questionnaire using five Likert scales. Moreover, mean and standard deviation was utilized while one-way ANOVA and Pearson correlation was used to test the hypothesis.

The findings of this study uncovered that there is no significant impact of QA of TVET programs to fulfill the need of IR 4.0 in Pakistan. But there is strong and positive association between QA of TVET programs as per the demand of IR 4.0 and level of preparedness of teachers toward it. The study suggested that in order to meet the labor market's requirements according to IR 4.0, future employment demand could be met by assuring their TVET programmers' QA and putting them into practice in accordance with the indicators and the TVET framework suggested in literature and by United Nations Educational, Scientific and Cultural Organization (UNESCO), which is widely accepted. The findings will also help to detect current trends in teaching, providing important insights in terms of QA and the focus of digitalization in TVET education.

The implication of this study is that in order to influence TVET's technological development, employment and national development, policy makers, TVET principals, coordinators and teachers must work on important aspects of their access that are very important on inclusion, financing and quality – the assurance of standards, as it meets the needs of the country according to the IR 4.0 labor market.

This is one of the unique studies of its nature which has focused on the QA on TVET programs for the digital employment market of IR 4.0 in Pakistan and South Asia.

Every year, hundreds of people have died and thousands have been injured because of insufficient management of well control at oil and gas drilling and production sites. Major causes which have been reported in previous studies included uncontrollable blowouts and failure of blowout preventers because of insufficient safety practices. These onshore and offshore blowout disasters not only harm the work force but also critically affect the environment and marine life. In this research paper, a detailed quantitative survey and qualitative risk assessments (RA) have been carried out for assessing the potentially hazardous activities associated with well control along with their appropriate controls and risk reduction factors and mitigating measures in Middle East and south East Asian countries.

The sequential explanatory research design has been adopted in this study. Whereas, descriptive statistical approach has been used for the quantitative data analysis of this study. While, in-depth interview approach has been used for qualitative data collection. Similarly, what-if analysis method has been adopted in this study for the identification of effective safety and health risk mitigating factors because it provides in-depth information from health and safety environment experts.

The cumulative quantitative results based on the response from Saudi Arabian drilling industry have indicated that the well control operation is highly hazardous then Malaysian and Pakistani oil and gas industries. Likewise, findings from what-if analysis approach demonstrate that the drilling crewmembers have repetitively faced life threatening hazards which occur (safety and chemical) during well control onshore and offshore operation because of oil base mud, confined space at site, pinch points and falling during working on blow out preventers. According to the overall result, respondents have highly recommended engineering and administrative hazard controlling factors as most suitable for the elimination of safety and chemical hazards during well control activities.

Besides, the developed methodological framework for the identification of suitable hazard controls can also be effectively used for potential hazards reorganization and identification of suitable hazard controls for other drilling and production industries and regions for accident prevention and safety and health management.

This is a first comparative research study which has been carried out in Malaysian, Saudi Arabian and Pakistani onshore and offshore oil and gas industries for well control health and safety management and reorganization of most effective hazards mitigating factors at drilling sites.

Annually, hundreds of drilling crew suffer from major injuries during performing oil and gas drilling operation because of the deficiency of an adequate hazard safety management system for real-time decision-making in hazardous conditions. According to previous studies, there is a sheer industrial need for an effective industrial safety management decision support system for accident prevention at oil and gas drilling sites at both drilling domains. Therefore, this paper aims to focus on the design and development of knowledge base decision support system (KBDSS) for the prevention of hazardous activities at Middle Eastern and South Asian origins’ onshore and offshore oil and gas industries during drilling operations.

In this study, data were gathered from safety and health professionals from targeted oil and gas industries in Malaysia, Saudi Arabia and Pakistan through quantitative and qualitative approaches. Based on identified data, KBDSSs (HAZFO Expert 1.0) were systematically developed and designed by adopting Database Development Life Cycle and Waterfall Software Development Life Cycle models. MySQL and Visual Studio 2015 software were used for developing and designing knowledge base and graphical user interface of the system.

KBDSS (HAZFO Expert 1.0) for accident prevention at onshore and offshore oil and gas drilling industries based on identified potential hazards and their suitable controlling measures aligned with international safety standards and regulations. HAZFO Expert 1.0 is a novel KBDSS that covers all onshore and offshore drilling operations with three and nine outputs, respectively, to achieve the current trend of Industry Revolution 4.0 and Industrial IoTs for workforce safety.

This industrial safety management system (HAZFO Expert 1.0) will be efficiently used for the identification and elimination of potential hazards associated with drilling activities at onshore and offshore drilling sites with an appropriate hazard controlling strategy.

Moreover, the developed KBDS system is unique in terms of its architecture and is dynamic in nature because it provides HAZFO Expert 1.0 data management and insertion application for authorized users. This is the first KBDSS which covers both drilling domains in Malaysian, Saudi Arabian and Pakistani industries.

This proposed research study aims to focus on the development and implementation of a new safety and health educational management information system (hazard-free production operation [HAZ-PRO]) based on effective hazards controlling factors and mitigating measures for safe onshore and offshore oil and gas drilling operation in Saudi Arabian, Malaysian and Pakistani industries. According to previous studies, there is a sheer industrial need of an effective management information system for decision-making to prevent life-threatening accidents at oil and gas production sites based on innovative hazard controlling strategies from different production origins. Similarly, that safety and health management information system will also enhance the decision-making skills of oil and gas production crew through effective accident prevention strategies.

In this study, 100 drilling crew are randomly selected for quantitative research phase. Similarly, 3 safety experts are purposively selected for qualitative research from each drilling domain from Saudi Arabia, Malaysia and Pakistan, whereas for the identification of hazard controlling measures, what-if analysis and thematic analysis approaches are adopted. Furthermore, the educational management information system (HAZ-PRO) for safety and health has been developed by using ADDIE Model based. Whereas, Visual Studio (2017) and MySQL software are used for the database and user interface development of the safety and health management information system for the safety and health of production crew.

This study proposes the research framework for the development and implementation of a new safety and health educational management information system (HAZ-PRO) based on identified effective hazard controls and mitigating measures in support of accident prevention and effective decision-making in hazardous events at Saudi Arabian and Pakistani onshore and offshore production domains. Whereas, this proposed safety and health management information system will assist and facilitate the safety professionals and production crew to prevent the injuries in hazardous work environments of onshore and offshore oil and gas industries according to international safety standards.

This safety and health management information system can be utilized by oil and gas industries (oil and gas production crew) in Saudi Arabia, Malaysia and Pakistan for accident prevention and suitable decision-making prior to the actual onshore and offshore operations. Also, the proposed system development framework will be useful as an effective source for the elimination of life-threatening drilling hazards associated with its activities in oil and gas industries. Similarly, the proposed framework can also be implemented in other oil and gas work-based accident prevention and effective decision-making designs.

This proposed safety and health management information system will be the first system for oil and gas production operation that covers all onshore and offshore operations for Saudi Arabian, Malaysian and Pakistani oil and gas industrial settings. Also, the system development methodology and design framework, which will be used, is novel and unique based on their characteristics and functionalities.

The research explores how artificial intelligence-driven natural language processing can be integrated into digital game-based learning to enhance science education worldwide. It conducted a thorough literature review focusing on electronic bibliographic databases, identifying nine key themes. The chapter discusses the potential of digital games to improve science education, including theoretical frameworks, integration techniques and problem-solving methods. It also examines the impact of gaming on critical thinking and natural language processing. The findings suggest that integrating natural language processing into digital game-based learning shows promise for improving inquiry-based teaching and student performance in science education. Digital platforms can offer personalized feedback, support natural language interactions and customize content for each student. However, addressing pedagogical concerns and technological limitations is crucial for fully realizing these benefits. Practically, the research offers guidance for educators, curriculum developers and policymakers. It emphasizes the importance of educating educators on natural language processing, developing inquiry-driven digital learning platforms and establishing supportive policies. This signifies a move toward student-centered learning and the integration of innovative technologies into education. In terms of originality and value, the study contributes to the existing knowledge by discussing challenges and potential strategies for integrating digital game-based learning with natural language processing globally. It suggests that future research and practical efforts in this area can benefit from a comprehensive understanding of the opportunities and implications of this educational approach, informed by extensive research across various themes.