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In this article, we study a generalized Yosida variational inclusion problem involving multi-valued operator with XOR operation. It is shown that the generalized Yosida variational inclusion problem involving multi-valued operator with XOR operation is equivalent to a fixed point equation. We have proved that the generalized Yosida approximation operator is Lipschitz continuous. Finally, we prove an existence and convergence result for our problem.

The study evaluated the self-instructional materials of M.Ed level of Allama Iqbal Open University, considering eight parameters i.e. introduction, objectives, contents of units and its organizations, format, presentation style, visual materials, individualized learning, examples from daily life, summary at the end of unit and glossary. All over Pakistan 585 students, 70 tutors, 20 Unit writers and 8 Course coordinators constituted the population of the study which was taken as a sample i.e.100% sampling. Data were collected through four questionnaires. The major results of the study portrayed that introduction of units has been written clearly, provides the introductory summary of the course units and each unit objectives are relevant to M.Ed programme. The organization of contents is in a logical sequence and distance education philosophy is incorporated in the format, presentation style of materials. The enough visual materials are included in the content. The materials of distance education of AIOU facilitate individualized learning while the quoted examples in the material are not match with the daily life and local situation of the distance learners. However, there was no summary and glossary of unit.

This study aims to enhance business sustainability in the context of Higher Education Institutions (HEIs) by utilizing AI and forecasting techniques. It explores the development and comparison of prediction models, including the use of dashboard development, to support decision-making processes within HEIs. The study covers various aspects, including the background of forecasting and prediction models, the use of specific models such as the Prophet Model, Long Short-Term Memory (LSTM) Model, and Polynomial Regression Model, as well as the importance of dashboards for HEIs. The methodology section outlines the data collection and preparation process, model selection, approach, diagrams, functional and non-functional requirements, justification of tools, and libraries and models used. The implementation section delves into the system design and development of the dashboard, including the login page, homepage, forecast page, and insert data page. As for the findings, the LSTM Model has proven to be the most accurate and suitable model to be implemented for forecasting student enrolment data in this study. The dashboard's future enhancements involve adding more faculties, predictive features for resource allocation, refining the visual identity, improving user registration on the login page, and exploring better models for student enrolment predictions. Overall, the study provides valuable insights into the application of AI and forecasting techniques in HEIs, aiming to enhance business sustainability and decision-making processes. It contributes to the growing body of knowledge on the use of technology-enabled AI in higher education institutions, with a focus on forecasting student enrolment data and developing prediction models. [ABSTRACT FROM AUTHOR]

The rise of online learning has brought about a close connection between micro-credentials and lifelong learning, employability, and new models of digital education. Micro-credentials are considered instrumental in transforming higher education today. This study aims to examine the extent to which micro-credentials have been adopted in Malaysia, focussing on the viewpoint of Higher Education Providers (HEPs). It seeks to identify the challenges faced by HEPs when offering micro-credentials, encompassing technological, organisational, and people-related obstacles. By analysing empirical data, this research intends to propose a conceptual framework that can guide the successful adoption and implementation of micro-credentials within educational institutions. By addressing these recommendations, HEPs in Malaysia can successfully adopt and implement micro-credentials within their institutions. This will not only enhance the learning experience for students but also contribute to the overall transformation of higher education, keeping pace with the demands of the digital age and fostering a culture of continuous learning and skill development. [ABSTRACT FROM AUTHOR]

In the past few years many choreographers have focused upon implementation of computer technology to enhance their artistic skills. Computer vision technology presents new methods for learning, instructing, developing, and assessing physical movements as well as provides scope to expand dance resources and rediscover the learning process. This work reviews the study done over AR based learning technologies for the development of inter personal skills. This paper further elaborates the literature done till date within the scope of AR based training for educational aspects. The review focuses on the techniques categorized according to the type of dance learning method which can further be enhanced and addressed by means of novel AR based technology. The authors aim to provide an overview for learning standards based on AR Kinect sensors. In addition the future work is toward exploring the latest version of Kinect V2 for dance training that could become the next futuristic virtual educator.

Vision and mission statements are mostly studied with a focus on organizations. This study moves away from the traditional approach by integrating the knowledge of vision/mission/value statements and ads on the same designated object. The organizations involved in the discourse of the China-Pakistan Economic Corridor (CPEC discourse) use an emergent hybrid strategy of utilizing vision/mission/value statements and ads under the umbrella of economic incentives to project the Chinese language as a power-tool in the context of CPEC. Based on the criteria/drivers for strategic communication in Zerfass et al. (2018), CPEC discourse fulfills 6/7 criteria/drivers mentioned: it is resource-driven, competition-driven, environment-driven, innovation-driven, engagement-driven, and operationally-driven. Power theory has been applied, linking the statements and ads to power discourse to find out how different themes carry an underlying power structure exercised by the stakeholders. Using thematic analysis supported by word-clouds as an analytical tool, this study finds out that the intended signaling-effect of the Chinese language in CPEC projects is received willingly by the consumers and stakeholders who, in turn, learn and promote this language as a skill/resource for employability and exertion of power. The findings show that these communicative sources can be utilized strategically in a competition-driven environment. [ABSTRACT FROM AUTHOR]