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The purpose of this paper is to examine the student mobility programs of the three initiatives – in Southeast Asian Ministers of Education Organization-Regional Institution of Higher Education and Development, University Mobility in Asia and Pacific (UMAP), and Campus Asia – and provide a comparative analysis of the respective programs in terms of the role of government, institutional involvement, quality assurance, and challenges. In addition, the paper will assess their impacts on higher education regionalization by regulatory models toward the end of the paper.

The study adopts qualitative document analysis as a major research method to explore the developmental models of three student mobility programs. Document analysis is an approach used to gather and review the content of existing written documentation related to the study in order to extract pieces of information in a rigorous and systematic manner.

ASEAN International Mobility for Students (AIMS), Collective Action for Mobility Program of University Student in Asia (CAMPUS Asia), and UMAP student mobility schemes have a shared purpose in higher education regionalization, but with different regulatory frameworks and Functional, Organizational, and Political approach models. AIMS and CAMPUS Asia as a strong network and government-led initiatives adopt a combination of functional, organizational, and political approaches; UMAP provides university-driven regional mobility programs with a hybridized force. However, all three of them face the same challenges at regional and national levels, such as different national regulation, coordination among participants, and implementation of credit transfer schemes.

The scale of three student mobility programs is still low, which results in limited impact on higher education regionalization in Asia. However, a stronger decision-making model and increased financial support to universities and students are desirable for the creation of a sustainable and effective network.

This is an original research and makes a great contribution to Asian nations.

Research in undergraduate mathematics education (RUME), the study of teaching and learning of college mathematics, is a new area of research in mathematics. Information to support this discipline is found in publications from all over the world, in the form of monographs, reports, research guidelines and resource manuals, as well as journal articles. Researchers in RUME require access to materials that are specific not only to their field, but also to the broader literature of mathematics, education, learning theories, instructional strategies, alternative assessment techniques, cognitive development and human behavior. This annotated bibliography is designed to be a template for a comprehensive and up‐to‐date collection of RUME resources. World Wide Web (Web) locations for many of the items are provided, as are descriptions of several Web sites that present information of interest to RUME researchers.

Single-shot multi-category clothing recognition and retrieval play a crucial role in online searching and offline settlement scenarios. Existing clothing recognition methods based on RGBD clothing images often suffer from high-dimensional feature representations, leading to compromised performance and efficiency.

To address this issue, this paper proposes a novel method called Manifold Embedded Discriminative Feature Selection (MEDFS) to select global and local features, thereby reducing the dimensionality of the feature representation and improving performance. Specifically, by combining three global features and three local features, a low-dimensional embedding is constructed to capture the correlations between features and categories. The MEDFS method designs an optimization framework utilizing manifold mapping and sparse regularization to achieve feature selection. The optimization objective is solved using an alternating iterative strategy, ensuring convergence.

Empirical studies conducted on a publicly available RGBD clothing image dataset demonstrate that the proposed MEDFS method achieves highly competitive clothing classification performance while maintaining efficiency in clothing recognition and retrieval.

This paper introduces a novel approach for multi-category clothing recognition and retrieval, incorporating the selection of global and local features. The proposed method holds potential for practical applications in real-world clothing scenarios.

The purpose of this paper is to present a general overview of the kinds of regional cooperation that are commonly found in the higher education (HE) sector among countries in Asia and the Pacific.

The research methodology is literature review, collecting primary data from the web sites set up by the various organizations that are being reviewed.

The types of university exchanges can be broadly categorized as academic exchange, research collaboration and university‐community engagement. Some of the regional cooperation are initiated by intergovernmental organizations while others are initiated by non‐governmental organizations. The paper reviews intergovernmental initiatives by UNESCO, SEAMEO RIHED, ASEAN, ASEM, EAS, and APEC. It also reviews several higher education networks including ASAHIL, UMAP, APRU, AUF, AAOU and APAIE, as well as two regional initiatives, APQN and the UNESCO Regional Convention on the Recognition of Studies, Diplomas and Degrees in Higher Education in Asia and the Pacific.

This is an original piece of analytical work on the roles and functions of various HE organizations and networks in the Asia‐Pacific region.

This article reviews developments in the field of applied knowledge management dating from 1990 and argues that a fragmented mosaic of programs and problematics currently exists, at various levels of incompatibility. Using a software product, we map the information space around applied knowledge management as an illustration of this basic fact. We then describe a research program that extends this logic and develop a model on four dimensions that appears to order the various programs, practices and processes in this divergent field. Implications for managers of knowledge management initiatives are discussed, and avenues for future research suggested.

This paper explores the issue of developing and enhancing intra-ASEAN international student mobility given the context of ASEAN integration, regionalization of ASEAN higher education and the various intra‐ASEAN student mobility schemes currently implemented.

It explores higher education policies, available higher education and international student mobility data, as well as the various intra‐ASEAN (and relevant) student mobility schemes to present the current status of intra‐ASEAN student mobility, challenges and opportunities to further enhance student mobility within the ASEAN region.

Aside from showing that intra‐ASEAN student mobility is significantly low compared to outbound student mobility from ASEAN countries, the paper also highlights the relationship between a country’s income status with choice of intra‐ASEAN or extraASEAN student mobility. Finally, it recommends developing a comprehensive intra‐ASEAN mobility scheme taking the merits of the various intra‐ASEAN mobility schemes currently implemented and guided by developments in the European ERASMUS mobility programs.

This is probably the first (in fact, it is an exploratory) paper that address the issue of intra‐ASEAN international student mobility, which aims to explore relevant issues to address the development of a comprehensive ASEAN mobility scheme.

The purpose of this paper is to see if economic regionalization in Asia is a trend for the future, and if it heralds educational regionalization, thus uniting economic internationalization and education.

This has been shown to be the case in the European Union where it is still a work in progress and may well be sliding backward, and it is certainly the case in Asia where despite or perhaps because of the plethora of regional organizations (well over 100), policies and programs, to say nothing of the continuing historical tensions between nations and sub‐regions, the process of harmonization has lurched along and questions remain as to its long‐term substance.

It is suggested that the proposition of these goals is much easier than the implementation for a variety of political, economic, and cultural reasons.

In this study a conceptual framework utilizing the concepts of centripetal and centrifugal forces is introduced to facilitate a focus on the forces and factors affecting regionalization and harmonization of higher education in the Asian region.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

Provides brief overviews of new interactive tools and indicators surrounding content analysis on the web, focusing on those windows and tools that are publicly accessible on the web. Contends emerging Internet indicators need to be further analysed if they are to be applied usefully in assisting the building of strategies. Finishes with a Table showing the structure of different domains mapped by AltaVista.