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This study aim was to analyze how lesson study can enhance learning for students with intellectual disability, and how teachers' collaboration affects the design and analysis of the intervention.

Lesson study was used as a methodological framework. Ten special educational needs teachers met the researcher for three collaborative meetings. Between meetings, teachers performed and adjusted a lesson on a particular mathematical issue: quantity and size judgment. To evaluate the lesson design, students completed pre- and post-lesson examinations and attitude tests with Likert-type scales.

Students' knowledge increased during the study. The mean scores for the first group (six students) were 4.3 in the pre-test and 6.5 in the post-test (effect size 0.9). For the second group (four students), the mean score was 3.8 in the pre-test and 4.3 in the post-test (effect size 0.2). Attitude measurement showed split opinions; seven students had a positive experience and three had a predominantly negative experience. Assessment of teacher certainty using transcribed audio recordings of teachers' statements during the collaborative meetings indicated a positive relation between teacher expressions of certainty and student learning. The teacher–researcher collaboration increased teachers' focus on student learning and deepened the researcher's analysis.

There is an urgent need to explore collaborative development in special educational needs teaching. Lesson study is an effective way of examining teachers' collaborative processes using data on teachers' reasoning about teaching and students' learning.

The purpose of this paper is to expand current knowledge about the recent trend of wearable technology to assess both its potential in the work environment and the challenges concerning the utilisation of wearables in the workplace.

After establishing exclusion and inclusion criteria, an independent systematic search of the ACM Digital Library, IEEE Xplore, ScienceDirect and Web of Science databases for relevant studies was performed. Out of a total of 359 articles, 34 met the selection criteria.

This review identifies 23 categories of wearable devices. Further categorisation of the devices based on their utilisation shows they can be used in the work environment for activities including monitoring, augmenting, assisting, delivering and tracking. The review reveals that wearable technology has the potential to increase work efficiency among employees, improve workers’ physical well-being and reduce work-related injuries. However, the review also reveals that technological, social, policy and economic challenges related to the use of wearable devices remain.

Many studies have investigated the benefits of wearable devices for personal use, but information about the use of wearables in the work environment is limited. Further research is required in the fields of technology, social challenges, organisation strategies, policies and economics to enhance the adoption rate of wearable devices in work environments.

Previous studies indicate that occupational stress and injuries are detrimental to employees’ health; this paper analyses the use of wearable devices as an intervention method to monitor or prevent these problems. Introducing a categorisation framework during implementation may help identify which types of device categories are suitable and could be beneficial for specific utilisation purposes, facilitating the adoption of wearable devices in the workplace.

The purpose of this contribution is twofold: at the empirical level, it is shown how in the relationship that subjects are encouraged to construct with their bodies major implications for workers' well-being can be found; at a theoretical level, attention is drawn to the importance of framing the different practices workers may display towards digital wellness programmes not just in terms of acceptance or resistance, but also in terms of appropriation.

Empirically, this study concentrates on the pilot study conducted by a large manufacturing firm that decided to implement a digitally assisted corporate wellness programme. The experimentation involves a sample of the company's workers. The 24 participants were interviewed at the beginning, during the programme and at its end, for a total of 69 interviews. Interviews were transcribed and analysed through a template analysis.

This research emphasizes how workers' well-being manifests in the relationship subjects are fostered to construct with their body and, in parallel, how workers may play an active and unpredictable role in corporate wellness programmes.

Differently from the current literature that frames workers' reactions towards digital corporate well-being initiatives in mainly polarized ways, this contribution leads to a less dichotomic and more nuanced interpretation of the “impacts” wellness programmes may have, showing how workers may display practices not just of acceptance or resistance, but also of appropriation.

The study aims to analyze the different types of risks related to the use of technology and determine their positive or negative influence on teachers' motivation and behavioral intention to use digital tools.

The research is based on survey data from 200 teachers in the Romanian preuniversity education system. The data analysis followed a four-step approach, using a partial least squares structural equation modeling (PLS-SEM) model for hypothesized relationships among research concepts and a PLS prediction-oriented segmentation (POS) procedure.

This study showed that increased risk awareness influences both motivation and, consequently, the intention to adopt digital tools in the preuniversity education system.

The scope of research remains constrained with regard to the examined population, considering the substantial number of teachers within the preuniversity education system. Another limit lies in the basic classification of identified risk types.

School managers should design a strategy to increase the level of motivation for integrating digital tools in the educational process.

Little scholarly attention has been devoted to investigating the risks associated with digitalization in the preuniversity education system. In addition, no prior research has been conducted to assess the influence of risk perception on people's motivation and intention to use digital tools in preuniversity education.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

This Scholarship of Teaching and Learning research is a part of the larger study grant to analyze written reflections through learning log among the third and final year students undertaking BPME 3073 Entrepreneurship module in University Utara Malaysia (UUM). The paper aims to discuss these issues.

The data collection techniques are researcher-directed textual data through reflective learning log, taken from 140 students from three classes. A thematic approach was utilized to present the reflections of the students and all data were recorded in a verbatim format.

The findings show that most students have never written a reflective log or essay in the formative assessment. As a consequence, they had difficulty in writing the reflection when being requested to do so. A total 75 (approximately 55 percent) of the reflective logs were identified as level 1 (from 1 to 5 percent) in which reflections were simply written in a descriptive manner, resulted in a balance of 61 learning logs being utilized for further analysis. The students’ reflections on their entrepreneurship’s experience systematically categorize into four different themes comprised of: the nature of entrepreneurship module, entrepreneurial characteristics, opportunity recognition, and creativity and innovation.

As for the limitation of the study, it is important to not to underestimate the challenges of introducing a grade assessment that most of them are not familiar with in their university academic journey. Students need guidance, assurance and confidence writing something that require personal opinion, own thinking, sensitive and personal nature of narration. For most students as found out in this study, self-confessional writing is hard to come by (they dare not attempt it in the first place), only a handful appreciating the writing start with “I,” “me” as first person. More research in this study should be conducted across the university to gauge the response from the students to see if the result of this study is only applicable to this group of students or to this discipline of studies. The researchers would also like to recommend for future studies which take the form of a longitudinal study of similar kind to examine the problems and challenges with regards to promoting learning reflection at the undergraduate level.

Based on the result of the 61 students who had demonstrated an ability in reflective writing, it is suggested that perhaps the university should consider offering coursework that contains a component of reflective writing as part of the assessment. As such, if this is implemented, students of such ability like the one in this sample group would have been benefitted from such assessment which look at reflective ability (Greene, 2014) and which they were allowed to form a broader perspective in relation to the module undertaken. This in turns will foster the growth of reflective ability which is recognized as a learned behavior (Gustafson and Bennett, 1999). In addition, for the future exercise of this reflective learning log, the researcher opined that we should encourage our students to engage with another student (e.g. close friend) in a way that encourages talking with, questioning, or confronting, helped the reflective process by placing the learner in a safe environment in which self-revelation can take place. In addition, students were able to distance themselves from their actions, ideas and beliefs, by holding them up for scrutiny in the company of a peer with whom they are willing to take such risks (Hatton and Smith, 1995).

The results of this research have strongly suggested the need to urgently develop among the students the skills in writing reflectively as they go through the process of higher education which is useful in molding their future professional and entrepreneurial behavior as when they entered the job market which requires a critical reasoning ability.

Interruptions are prevalent in knowledge work, and their negative consequences have driven research to find ways for interruption management. However, these means almost always leave the responsibility and burden of interruptions with individual knowledge workers. System-level approaches for interruption management, on the other hand, have the potential to reduce the burden on employees. This paper’s objective is to pave way for system-level interruption management by showing that data about factual characteristics of work can be used to identify interrupting situations.

The authors provide a demonstration of using trace data from information and communications technology (ICT)-systems and machine learning to identify interrupting situations. They conduct a “simulation” of automated data collection by asking employees of two companies to provide information concerning situations and interruptions through weekly reports. They obtain information regarding four organizational elements: task, people, technology and structure, and employ classification trees to show that this data can be used to identify situations across which the level of interruptions differs.

The authors show that it is possible to identifying interrupting situations from trace data. During the eight-week observation period in Company A they identified seven and in Company B four different situations each having a different probability of occurrence of interruptions.

The authors extend employee-level interruption management to the system-level by using “task” as a bridging concept. Task is a core concept in both traditional interruption research and Leavitt's 1965 socio-technical model which allows us to connect other organizational elements (people, structure and technology) to interruptions.

This chapter focuses on how the idea of ‘an ordinary day in the life’ can serve as an entry point for understanding media use. I discuss how everyday media use can be conceptualized as mundane and meaningful, and as most easily noticed when changing. Building on day-in-the-life interview segments from qualitative studies, I discuss methodological merits and challenges of this approach. The analysis follows media users an ordinary day from morning to night, as they wake up with the smartphone, navigate across social domains, and seek connection and companionship. I argue that seemingly mundane media use practices are made meaningful through the connection they entail, and particularly discuss the conflicted position of smartphone checking in everyday life. The chapter empirically substantiates the arguments made in Chapter 1 about the centrality of smartphones in digital everyday lives.

This chapter presents the research questions, approaches, and arguments of the book, asking how our everyday lives with media have changed after the smartphone. I introduce the topic of media use in everyday life as an empirical, methodological, and theoretical research interest, and argue for its continued centrality to our digital society today, accentuated by datafication. I discuss how the analytical concepts of media repertories and public connection can inform research into media use in everyday life, and what it means that our societies and user practices are becoming more digital. The main argument of the book is that digital media transform our navigation across the domains of everyday life by blurring boundaries, intensifying dilemmas, and affecting our sense of connection to communities and people around us. The chapter concludes by presenting the structure of the rest of the book, where these arguments will be substantiated in analysis of media use an ordinary day, media use in life phase transitions, and media use when ordinary life is disrupted.