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While most language departments of the university offer service-learning (SL) subjects based on language teaching, such as “Teaching Chinese as a Second Language in Local Schools” and “Serving the Community through Teaching English,” this paper aims to argue that teaching students to teach language(s) is yet to be the best strategy to serve the service recipients.

SL is widely understood as an experiential learning pedagogy that integrates academic focus, reflection and community service and is shown to be impactful. In Hong Kong, the first university that has made SL a graduation requirement is the Hong Kong Polytechnic University (the University). Considering this, new SL courses have proliferated over the past decade. Adopting a narrative inquiry approach, this paper examines personal narratives from a new SL subject aiming to raise awareness of refugees in Hong Kong. The data includes students’ reflective journals, co-created personal narratives and podcasts and semi-structured interviews.

This paper finds that crafting and recording narratives of shared experiences deepens cultural understanding, cultivates empathy and facilitates language learning in a genuine setting.

Ultimately, this paper advocates a well-designed SL that combines language, content and technology as a powerful, transformational experience for both college students and service recipients.

This paper focuses on a brand new SL course, “Storytelling for Understanding: Refugee Children in Hong Kong,” offered in Semester 1, 2022–2023. The subject was developed by the two authors from a language division affiliated to the University. The deliverables were podcast recordings, co-authored and co-edited by the students and the children.

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.

The purpose of this paper is to discuss the progress of iRadio OUM over the years, the evolution of technology used and its overall significance to OUM’s continual growth and development.

Reports the results from web analytic data from previous years in terms of listening and downloading habits and trends. Reviews of how other institutions and/or organisations use podcasting or audio learning material in the teaching and learning process are also included.

Outlines the progress of iRadio OUM through the years in terms of content development, listening and downloading trends as well as research and development carried out. This paper summarises the changes in how segments are structured, produced and delivered. It also outlines the evolution of the technology used, mainly in terms of how content is delivered to the audience.

The scope of the paper is such that it only highlights the experiences of iRadio OUM alone.

Offers practical advice in terms of the planning, development and implementation of an educational internet radio for higher learning institutions.

This paper is written by key team members of iRadio OUM itself and highlights the experiences and ultimately the best practices discovered by actual web-broadcast practitioners and audio learning materials instructional designers.

The paper provides a summary of the findings from GOOD Awaits – The Regenerative Tourism New Zealand (NZ) Podcast and envisions a regenerative future for tourism in Aotearoa.

This paper is based on the findings from the GOOD Awaits Podcast, a series of interviews with pioneers and practitioners of regenerative tourism. The podcast was created as a platform for the collective discovery of a new way forward for tourism in the wake of COVID-19, and the series provides a detailed summary of the regenerative tourism movement in NZ.

Through these interviews, a vision for a regenerative visitor economy in Aotearoa emerged. This new model is rooted in indigenous knowledge and living systems theory. It is a paradigm shift that allows us to see tourism as a living ecosystem and requires innovative economic models, such as social entrepreneurship, systems level changes to the way tourism operates and is governed, local tourism solutions with community thriving as the primary aim and much more collaboration both within tourism and across sectors.

Regenerative tourism is an emerging model and one that is rapidly gaining traction in NZ and globally. The GOOD Awaits podcast is a unique, thoughtful and practical demonstration of what this model could look like in Aotearoa. It demonstrates the potential and feasibility of regenerative tourism practice, and the response has shown the desire for these conversations at a national and international scale. This paper is an accessible summary of the podcast's first season and has value for anyone interested in the regenerative tourism movement in Aotearoa.

This article explores, identifies and conceptualises everyday audiobook reading practices amongst young adults.

Semi-structured interviews were conducted with ten Swedish audiobook users aged 18–19. The material was analysed using qualitative content analysis and focused on their audiobook use during an average weekday, as this was the time that they listened the most. The theoretical framework consists of theories on practice, time and everyday routine.

Five timespaces emerged when audiobook practices were most prevalent: morning routines, commuting routines, school routines, after school routines and bedtime routines. Within these timespaces, several practices could be identified and conceptualised. Three mobile practices were commute listening, exercise listening and chore listening while more stationary practices were homework listening, schoolwork listening and leisure listening. An unexpected finding was how audiobooks routinely were used to aid respondents’ wellbeing. This wellbeing listening was used to alleviate stress, loneliness and help listeners relax or fall asleep. Furthermore, respondents switch between Music, Audiobooks and Podcasts, which is conceptualised as MAP-switching.

There is a scarcity of research on audiobook use, and this paper contributes with new knowledge on audiobook reading practices, how audiobooks fit into everyday routine and provides concepts to aid further research on audiobook practices.

The purpose of this paper is to investigate how new technology-based firms (NTBFs) overcome established notions of scale and scope through business model innovation, leveraging the value from digitalization.

The study adopts an exploratory research design, drawing on a novel data set of 50 publicly available interviews with vertical farming (VF) industry leaders and insiders who represent 36 different organizations from North America and Europe.

The study develops a framework showing how NTBFs leverage the value from digitalization via a paradoxical approach combining both efficiency and novelty value drivers.

The study extends current theorizing on the desirability of a combined business model approach leveraging both efficiency and novelty from digitalization. Furthermore, the study is among the first to investigate the unique and highly technological context of VF.

This paper aims to identify and evaluate resolutions to key learning and teaching challenges in very large courses that involve practical mathematics, such as foundational finance.

A design-based research approach is used across three semesters to iteratively identify practical problems within the course and then develop and evaluate resolutions to these problems. Data are collected from both students and teachers and analysed using a mixed-method approach.

The results indicate that key learning and teaching challenges in large foundational finance courses can be mitigated through appropriate consistency of learning materials; check-your-understanding interactive online content targeting foundational concepts in the early weeks; connection points between students and the coordinator to increase teacher presence; a sustained focus on supporting student achievement within assessments; and signposting relevance of content for the broader program and professional settings. Multiple design iterations using a co-design approach were beneficial to incrementally improve the course and consider multiple perspectives within the design process.

This paper develops a set of design principles to provide guidance to other practitioners who seek to improve their own courses.

The use of design-based research and mixed-method approaches that consider both student and teacher perspectives to examine the design of very large, foundational finance courses is novel.

This paper intended to explore the knowledge and use of the digital verbs and tools by the students and teachers for conceptual understanding in the virtual and conventional learning environment. The study also explored the use of such digital tools for lower- and higher-order thinking.

A survey research method was used for the study. All the students and teachers of the faculty of education from one virtual and one conventional university were the population of this study. Teachers were selected through census sampling. Student enrollment in the faculty of education of the virtual university during Spring 2019 was 1,139 while the conventional university had 1,809 students. In total, 20% of the students from each of the two universities were sampled by using a convenient proportionate sampling technique. A questionnaire was developed by the researchers and validated by three experts before administration. The reliability of the instrument was a = 0.934. Mean, SD, parametric and nonparametric statistics were applied for data analysis.

The study reveals that the students of ODL are far better in using digital tools and activities that is, googling, collaborating and Skyping. They are good at understanding and application levels and are involved in higher-order thinking tasks, that is, publishing and podcasting as well. Unlike the students, the teachers of the virtual university are using digital tools of lower-order thinking. The authors infer that the students and teachers of the online universities are using these tools regularly because of the demands of the ODL environment. These findings suggest further research to explore the factors that hinder the use of higher-order thinking skills by the teachers in the online environment.

The study suggests the adoption of Bloom's digital taxonomy in teaching–learning processes, that is, curriculum, instructions and assessment for the millennials. The findings may motivate the online and conventional higher education institutions to adopt digital pedagogy for instructional purposes as the students of the digital age are already extensively involved with digital tools.

The purpose of this study is to explore the impact of the Covid-19 crisis at the level of individual information behavior among citizens from the German-speaking countries, Austria, Germany and Switzerland.

An online survey was conducted among 308 participants gathered through convenience sampling in April and May 2020, focusing on how citizens changed their mix and usage intensity of information sources and according to which criteria they chose them during the Covid-19 crisis. A Wilcoxon signed-rank test was used for testing central tendencies. Effect sizes were considered to support the interpretation.

The results show first that the Covid-19 crisis has led to an increased demand for reliable information. This goes alongside a significant increased use of public broadcasting, newspapers and information provided by public organizations. Second, the majority (84%) of the participants reported being satisfied with the information supply during the Covid-19 crisis. Participants who were less satisfied with the information supply used reliable sources significantly less frequently, specifically public television, national newspapers and information provided by public organizations. Third, the amount of Covid-19-related information led some participants to a feeling of information overload, which resulted in a reduction of information seeking and media use.

This paper is one of the first to analyze changes of information behavior patterns of individuals during crises in the current information environment, considering the diversity of resources used by individuals.

Value creation based on artificial intelligence (AI) can significantly change global healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind this change. This article aims to study the process of start-ups' value creation within healthcare.

A multiple case study method and a business model design approach were used to study nine European start-ups developing AI healthcare solutions. Obtained information was performed using within and cross-case analysis.

Three unique design elements were established, with 16 unique frames and three unifying design themes based on business models for AI healthcare start-ups.

Our in-depth framework focuses on the features of AI start-up business models in the healthcare industry. We contribute to the business model and business model innovation by systematically analyzing value creation, how it is delivered to customers, and communication with market participants, as well as design themes that combine start-ups and categorize them by specialization.