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This study aims to develop a machine learning model to detect structure fire fatalities using a dataset comprising 11,341 cases from 2011 to 2019.

Exploratory data analysis (EDA) was conducted prior to modelling, in which ten machine learning models were experimented with.

The main fatal structure fire risk factors were fires originating from bedrooms, living areas and the cooking/dining areas. The highest fatality rate (20.69%) was reported for fires ignited due to bedding (23.43%), despite a low fire incident rate (3.50%). Using 21 structure fire features, Random Forest (RF) yielded the best detection performance with 86% accuracy, followed by Decision Tree (DT) with bagging (accuracy = 84.7%).

Limitations of the study are pertaining to data quality and grouping of categories in the data pre-processing stage, which could affect the performance of the models.

The study is the first of its kind to manipulate risk factors to detect fatal structure classification, particularly focussing on structure fire fatalities. Most of the previous studies examined the importance of fire risk factors and their relationship to the fire risk level.

The purpose of this paper is to explore four Korean teacher learners’ academic experiences in an Australian Teaching English to Speakers of Other Languages (TESOL) master’s programme. By investigating the ways they encounter the overseas teacher education programme and how to interact with different meanings, this study reveals Korean teacher learners’ multiple selves and several meaning systems embedded in them. The understandings from the case provide some implications for curriculum internationalisation in higher education as well as TESOL.

Interviews, a focus group discussion and metaphors were used as data, and from these narratives, the participants’ experience was categorised into the programme’s aspects of the methods, contents and applicability, materials and usefulness, assessment criteria and feedback and communication and support. Each interview was undertaken in a library for around one and a half hours. At the end of the interviews, participants were required to produce a metaphor of desirable teacher/lecturer roles. For triangulation, a focus group discussion was conducted for approximately two hours, in which three participants could represent social worlds, evaluate them and establish themselves as members of particular groups. All the questions were semi-structured and about teaching and learning experiences in Korea and Australia and ideas of lecturers’ roles, practices and desirable pedagogy.

From the analysis of the participants’ experiences in these, it was revealed that their identity was tangled with that of the (English) teacher, consumer, (international) student and non-native speaker. The meaning systems of these identities were based on the mixture of the Korean traditional and Western or modern educational values: positive attitude towards communicative language teaching and its contexutalisation, pursuit of practical knowledge and pragmatic ideas, favour for discussions and getting confirmation from authorities and being positioned in the weak and using different communication rules, etc.

From the insights from this case, the lecturers and programme coordinators in intercultural TESOL courses will gain some ideas for a curriculum responsive to international needs. While it cannot be denied that the small scale of the study has limitations for generalisation, this research will be one of the required literatures which examines East Asians or Koreans in Western academic institutions, given that this qualitative study complements the findings of the quantitative studies by specifically disclosing the ways Korean teacher learners’ identity and the meaning systems of desirable pedagogies.

For the curriculum internationalisation in TESOL and several higher education (HE) courses, the lecturers’ and the institutions’ awareness of cultural differences and reducing stereotyping, language support and being explicit about new rules in the new game and communication for support and respectful and professional encounters are essential, alongside the learners’ voluntary endeavour for academic adaptation in their overseas learning.

The effort to understand each other in education is a good start for intercultural communication, that is, curriculum internationalisation in TESOL as well as higher education.

Different from other studies in similar areas, this study discloses the multiple selves/identities and meaning systems of the teacher learners in TESOL, by maximising the benefits of a qualitative study. The understandings from this approach help the researcher draw out practical implications for curriculum internationalisation in TESOL and HE.

A strong relationship exists in many cultures between ethnic identity and educational success. This study was conducted at a teacher training university in Southwest China in 1997. It examines how ethnic minority students, through a series of micro-level interactions, construct “scholar selves” within their families, villages, and schools. The study also looks at how macro-level structural supports, built into the Chinese education system, help minority students overcome obstacles to academic success. These supports include special schools and classes for ethnic students, training teachers for nationality areas, financial support for minority education and additional points awarded on national examinations. The chapter suggests what scholars and practitioners might learn from an educational system that demonstrates the characteristics of flexibility, inclusiveness and cohesiveness.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

This paper aims to examine the effect of shared leadership on student project team processes and outcomes. The authors focused on shared leadership and its association with team processes (coordination, goal commitment and knowledge sharing) and team performance.

To examine the shared leadership, team processes and performance model, the authors conducted two separate surveys of 158 graduate and undergraduate students working in project teams at a large southwestern university.

Results showed that shared leadership positively affected coordination activities, goal commitment and knowledge sharing, which in turn positively affect team performance. Each team process factor had a mediation effect, although shared leadership had no direct effect on team performance.

This research adds to the knowledge of important team process factors through which shared leadership indirectly affects team performance.

Based on the findings, the authors provided implications for students and instructors that shared leadership can facilitate team performance by enabling team members to coordinate activities, commit to goals and share knowledge effectively.

This study presents an initial understanding of the shared leadership-team performance relationship by introducing influential variables, such as coordination activities, goal commitment and knowledge sharing in a team.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

This article aims to study the determinants of e-learning acceptability by university students based on their experiences with distance learning during the coronavirus disease 2019 (COVID-19) pandemic.

A questionnaire was used to collect data from 448 students enrolled in a Moroccan business school's fourth and fifth years. The technology acceptance model (TAM) was the primary framework used for this analysis, into which variables from the expectation confirmation model were injected, namely facilitating conditions, social influence, expectation confirmation and satisfaction. The proposed conceptual model was tested and evaluated using the partial least squares structural equation modeling (PLS-SEM) technique. Then the authors have offered an in-depth analysis by employing the importance-performance map analysis (IPMA) approach.

The investigation suggested that the proposed measurement scale effectively assesses the factors impacting students' decision to continue using e-learning in the future. This study’s results show that e-learning acceptance depends significantly on the students' satisfaction, perceived ease of use (PEU) and perceived usefulness (PU). In contrast, the facilitating conditions are not a valid measurement scale to determine students' attitudes toward e-learning.

This is one of the first studies in the Moroccan context to evaluate e-learning acceptability by management students after COVID-19 using a unique research model.

Despite children’s academic excellence in East Asian countries, school education in this region faces a range of challenges to build inclusive and quality education for all. This chapter aims at examining how these challenges occur and what actions have been taken to deal with them. By focusing on China, Japan, and the Republic of Korea, the chapter first reviews reforms of school education since the 1990s in these countries. The subsequent sections then present educational disparity and a new mode of teaching and learning in these countries. It concludes by addressing that East Asian countries must explore more common ground for building a more collective sense and identity to share responsibility for building a resilient, inclusive and sustainable world through global citizenship education and education for sustainable development.