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Transnational learning has become a mainstream issue in recent years due to the rise of global education. There are many kinds of overseas learning, including degree-seeking, joint/double degree, student exchange, internship, service learning and so on. The scope of learning may involve research, teaching/learning and community service. The purpose of the case study is to investigate how the Taiwanese students participating in an international internship project of the US–Taiwan Partnerships for International Research and Education (PIRE) acquire professional knowledge and soft skills, including cross-cultural awareness, interdisciplinary communication, skill development and social networking. It also explores how a joint research project contributes into a collaborative educational program.

To better understand participants' experiences in the PRIE, this study held three focus groups and seven in-depth interviews on the students, faculty members and project managers for data collection.

Three major findings are shown in the study. First, participants agreed that the overall learning experiences in knowledge acquisition or skill development have been positive. Second, participants obviously expressed their greater interests in intercultural interaction with the locals, which did not happen quite often during the internship. Third, the extent of interest in applying for the PIRE deg ree program after the internship program is escalating year by year.

More investigation into participants’ social and cultural engagement in similar project will be needed for future research.

The results will be implicated into other cross-border education project evaluation.

This study manages to investigate the cross-border research initiative from different participants' perspectives and received comprehensive feedbacks.

Let H be a connected subgraph of a connected graph G. The H-structure connectivity of the graph G, denoted by κ(G;H), is the minimum cardinality of a minimal set of subgraphs F={H1′,H2′,…,Hm′} in G, such that every H′i∈F is isomorphic to H and removal of F from G will disconnect G. The H-substructure connectivity of the graph G, denoted by κs(G;H), is the minimum cardinality of a minimal set of subgraphs F={J1′,J2′,…,Jm′} in G, such that every Ji′∈F is a connected subgraph of H and removal of F from G will disconnect G. In this paper, we provide the H-structure and the H-substructure connectivity of the circulant graph Cir(n,Ω) where Ω={1,…,k,n−k,…,n−1},1≤k≤⌊n2⌋ and the hypercube Qn for some connected subgraphs H.

With the rapid growth of the Internet of Things (IoT) market and requirement, low power wide area (LPWA) technologies have become popular. In various LPWA technologies, Narrow Band IoT (NB-IoT) and long range (LoRa) are two main leading competitive technologies. Compared with NB-IoT networks, which are mainly built and managed by mobile network operators, LoRa wide area networks (LoRaWAN) are mainly operated by private companies or organizations, which suggests two issues: trust of the private network operators and lack of network coverage. This study aims to propose a conceptual architecture design of a blockchain built-in solution for LoRaWAN network servers to solve these two issues for LoRaWAN IoT solution.

The study proposed modeling, model analysis and architecture design.

The proposed solution uses the blockchain technology to build an open, trusted, decentralized and tamper-proof system, which provides the indisputable mechanism to verify that the data of a transaction has existed at a specific time in the network.

To the best of our knowledge, this is the first work that integrates blockchain technology and LoRaWAN IoT technology.

This paper explores how the student movement in Taiwan transformed after the abolition of martial law. After democratization, there were three large-scale student protests, in 1990, 2008 and 2014. This paper explores the development through this period of student movement organizations, issues and interrelations between organizations and individuals.

The study of the process of transformation and development is based on an analysis of newspaper and magazine articles and books about the student movement. To provide an insider's view, magazines, statements and meeting memos written by activists are also included.

As a legacy of the student movement in the 1980s, the 1990 Wild Lily protest advocated democratization and organized a cross-school alliance. This pattern declined, however, because it proved hard to recruit participants after democratization. Instead, student activists returned to education-related issues, and the scale of student organizations remained small. The 2008 Wild Strawberry protest was carried out by autonomous, self-organized groups, which reflected the emergence of individuals as activists. Afterward, student movement organizations attempted to create multiple networks consisted of various issues and participants. These groups built solidarity by cooperating on education and political issues and became the base for the 2014 Sunflower protest.

This paper explores the rarely described historical context for the student movement between large-scale student protests in Taiwan and provides a more comprehensive understanding of the interrelation of organizations and individuals in contemporary social movements.

Today’s software engineers often work in teams to develop complex software systems. Therefore, successful software engineering in practice require team members to possess not only sound programming skills such as analysis, design, coding and testing but also soft skills such as communication, collaboration and self-management. However, existing examination-based assessments are often inadequate for quantifying students’ soft skill development. The purpose of this paper is to explore alternative ways for assessing software engineering students’ skills through a data-driven approach.

In this paper, the exploratory data analysis approach is adopted. Leveraging the proposed online agile project management tool – Human-centred Agile Software Engineering (HASE), a study was conducted involving 21 Scrum teams consisting of over 100 undergraduate software engineering students in multi-week coursework projects in 2014.

During this study, students performed close to 170,000 software engineering activities logged by HASE. By analysing the collected activity trajectory data set, the authors demonstrate the potential for this new research direction to enable software engineering educators to have a quantifiable way of understanding their students’ skill development, and take a proactive approach in helping them improve their programming and soft skills.

To the best of the authors’ knowledge, there has yet to be published previous studies using software engineering activity data to assess software engineers’ skills.

Against the backdrop of China’s curriculum reform, this paper explores how a Chinese lesson study (CLS) of English literature instruction in a senior high school promotes the teacher participant’s professional development (PD) in teacher beliefs and emotions, teaching contents, teaching approaches and learner outcomes.

This study adopted the CLS approach to explore the teacher participant, Lily’s PD. Three rounds of CLS of short fiction instruction were conducted. Triangulated data including interviews, reflection journals, discussion notes and lesson materials were collected for directed qualitative content analysis.

The results show that through the CLS, Lily has (1) changed her beliefs about the curriculum and literature instruction, and improved her emotion management and become more resilient and motivated; (2) shifted her teaching focus from forms and facts to meanings; (3) adopted a more learner-centred and inquiry-based teaching approach and (4) received satisfactory learner outcomes including increased learner participation and quality output. The follow-up class observations suggest the sustainability of such development.

This study applies and validates a conceptual framework of teachers’ PD, and establishes the value of promoting curriculum reform and facilitating EFL teachers’ PD through CLS and literature instruction.

The aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research.

The data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have been derived. We use recognized bibliometric indicators to evaluate publications and visually analyze them through scientific mapping tools (VOS Viewer and CiteSpace).

The analysis results show that China is the most productive and influential country/region. East Asia countries have strong cooperation with each other and also have cooperation with other countries. The study shows that risk management has been involved in various fields such as credit, supply chain, health emergency and disaster especially in the background of COVID-19. We also found that machine learning, especially deep learning, has been playing an increasingly important role in risk management due to its excellent performance.

This paper focuses on studying risk management in East Asia, exploring its publication's fundamental information, citation and cooperation networks, hotspots, and research trends. It provides some reference value for scholars who are interested or further research in this field.

Poor medication adherence leads to high hospital admission rate and heavy amount of health-care cost. To cope with this problem, various electronic pillboxes have been proposed to improve the medication adherence rate. However, most of the existing electronic pillboxes use time-based reminders which may often lead to ineffective reminding if the reminders are triggered at inopportune moments, e.g. user is sleeping or eating.

In this paper, the authors propose an AI-empowered context-aware smart pillbox system. The pillbox system collects real-time sensor data from a smart home environment and analyzes the user’s contextual information through a computational abstract argumentation-based activity classifier.

Based on user’s different contextual states, the smart pillbox will generate reminders at appropriate time and on appropriate devices.

This paper presents a novel context-aware smart pillbox system that uses argumentation-based activity recognition and reminder generation.

The purpose of this paper is to theorise on the nature of property management broadly understood as resource management and demonstrate the actual and potential contribution of innovative property management to sustainable development.

The approach is analytical and backed by real life examples, using concepts of property rights informed by Coasian neo‐institutional economics and Yu's ideas on the Schumpeterian process in innovation.

There is a fast spread of gated communities in the Pearl River Delta and some private shopping centres provide public facilities and entertainment as a public relation method.

The transformation of negative externalities into positive ones is the crux to achieve win‐win solutions to property management for sustainable development.

A good property manager does not simply perform the role of a passive housekeeper or management fee collector. S/he is, above all, an innovator who applies updated technology and concepts with great sensitivity to the externalities generated by or affecting the resource s/he manages.

This is the first paper that defines for property management a research agenda anchored in Coasian economics and demonstrate the actual and potential contribution of property management.

This study aims to understand the consequences of the decision by some hotels during the COVID-19 pandemic to contract their accommodation to be used as managed isolation and quarantine (MIQ) facilities. Specifically, this study aims to understand the impact of this decision in terms of corporate brand image, brand loyalty, negative word of mouth (NWOM) and purchase intention.

Data were collected through a quasi-experimental research design and was analysed through a t-test.

This study hypothesises that the use of a hotel brand as a COVID-19 MIQ facility will be detrimental to its corporate brand image because of the expectation disconfirmation theory and attribution theory, thus reducing brand loyalty and increasing NWOM. The result supports the hypotheses.

This study does not factor in a time period for the observed effects. While the results indicate that hotels used for MIQ purposes have reduced corporate brand image, brand loyalty and purchase intention, this study does not establish the duration of the damage.

This study provides insight into consumers' perceptions of hotel brands that served as COVID-19 MIQ facilities. The originality lies in the discovery that the decision by hoteliers to opt to use their facilities for COVID-19 MIQ facilities was detrimental to corporate brand image and brand loyalty.