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BIM education for construction professionals has tended to lag industry developments. This investigation initiates doctoral research into the use of BIM for construction education. The purpose of this study is to gain an understanding of existing examples of BIM education, their characteristics, the challenges faced in their implementation and any clear trends to focus the doctoral research effort.

A systematic search of peer-reviewed BIM education literature was carried out. From the articles captured, 51 specific cases of BIM education were identified and analysed.

Most cases are from the USA with a more global spread from 2013. A tendency towards interdisciplinary collaboration was apparent though single discipline courses remain important. BIM software in education is dominated by Autodesk products. Most cases were found to be BIM-focused with few examples of BIM-enabled education. This was consistent with the most significant BIM education challenges that were found to relate to the skill levels of students, time and the availability of technical support.

This is an initial study. It is based on only 51 cases of BIM education, which were partially described in peer reviewed conference and journal papers available in international databases.

The investigation has shed some light on existing examples of BIM education and these are useful in designing BIM education initiatives as well as directing further research efforts.

The study offers an original perspective on global BIM education. It also represents the commencement of doctoral research.

This study aims to initiate an investigation into the drop-out rate from building information modelling (BIM) courses.

During 2017-2018, BIM courses (16 weeks) have been developed as active learning modules. Peer instruction was used to engage students and improve the overall student’s performance. Students’ activity data were captured and analysed based on study groups and suggested study module completion dates.

By mapping students’ activity data against suggested completion date at various assessment milestones revealed a possible degradation of motivation throughout the course which, in turn, may have been a possible cause of drop-out.

This paper presents ongoing research and a preliminary understanding about peer instruction effectiveness in BIM-related subjects as high intensity courses. It investigates whether a student’s active participation can improve their motivation to acquire a subject’s learning outcomes and reduce the drop-out.

The peer instruction methodology that is used here is quite universal and can be successfully applied to various other subjects to increase the student’s involvement in the course.

Results are drawn based on students’ involvement at the high intensity course and show the gradual increase of a learner’s motivation once they get continuous support from fellow learners and a teacher.

Technology-facilitated abuse, so-called “tech abuse,” through phones, trackers, and other emerging innovations, has a substantial impact on the nature of intimate partner violence (IPV). The current chapter examines the risks and harms posed to IPV victims/survivors from the burgeoning Internet of Things (IoT) environment. IoT systems are understood as “smart” devices such as conventional household appliances that are connected to the internet. Interdependencies between different products together with the devices' enhanced functionalities offer opportunities for coercion and control. Across the chapter, we use the example of IoT to showcase how and why tech abuse is a socio-technological issue and requires not only human-centered (i.e., societal) but also cybersecurity (i.e., technical) responses. We apply the method of “threat modeling,” which is a process used to investigate potential cybersecurity attacks, to shift the conventional technical focus from the risks to systems toward risks to people. Through the analysis of a smart lock, we highlight insufficiently designed IoT privacy and security features and uncover how seemingly neutral design decisions can constrain, shape, and facilitate coercive and controlling behaviors.

Purpose – The aim of this study is to determine the effects of inquiry instruction incorporating with STEM learning on Chemistry Education of Malikussaleh University students’ science process skills and science attitudes.

Design/Methodology/Approach – The pre-experimental design, which is a mixed method approach is used in the study that included a pretest-posttest one group model and descriptive quantitative.

Findings – As a result of data analysis that STEM learning significantly enhances students’ science process skills and attitudes toward inquiry instruction. This study examines how participation in a semester long inquiry-based STEM learning project that involves interdisciplinary skills, sociological research on attitudes, and behaviors enhances the scientific and quantitative literacies of STEM students.

Research Limitations/Implications – Quantitative research is needed to determine the more common effects of learning outcomes. However, this study only determines a self-assessment on science attitudes. The other one is a limitation on the participants and reviewing aspects of learning with more variables in order to obtain more optimal results.

Practical Implications – The results of this study have practical implications in terms of hands-on activities. The learning model can be used to explain the concept of multidisciplinary studies and particularly to students and their parents. It will be a useful model for lecturers, personal tutors, and any other practitioners involved in hands-on activities.

Originality/Value – This paper innovative at a conceptual level of education development for students, graduates, and it is very simple descriptive papers. It will be of value to anybody with an interest in education competitiveness issues.

This chapter introduces the topic of cooperation and co-innovation between the audiovisual media and education sectors. It first discusses the emergence of educational film approximately a hundred years go – together with a new institutional framework, industry media, rulebooks, etc. It then discusses the ways public service media have addressed educational programming over the decades, including developing complex cross-media strategies and educational content databases more recently. The second half of the chapter is dedicated to the emergence of educational digital games, with their own institutional setups, production cultures, and training programmes. The chapter points, however, to a relative lack of cooperation between commercial game producers and educational institutions to date.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

The chapter discusses the objectives and assumptions of the Time4Help project in Poland, where solutions were developed for the target group of women aged 45–65. The authors described parts of the model solution and the process of testing it which, due to the COVID-19 pandemic, was performed remotely. The conclusions from the testing stage were used to prepare the final version of the Time4Help model.

This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the smart industry context showed that there is limited research on HRC in hybrid teams and even less on effective management of these teams. This book chapter addresses this issue by investigating factors affecting intention to collaborate with a robot by conducting a vignette study. We hypothesized that six technology acceptance factors, performance expectancy, trust, effort expectancy, social support, organizational support and computer anxiety would significantly affect a users' intention to collaborate with a robot. Furthermore, we hypothesized a moderating effect of a particular HR system, either productivity-based or collaborative. Using a sample of 96 participants, this study tested the effect of the aforementioned factors on a users' intention to collaborate with the robot. Findings show that performance expectancy, organizational support and computer anxiety significantly affect the intention to collaborate with a robot. A significant moderating effect of a particular HR system was not found. Our findings expand the current technology acceptance models in the context of HRC. HRM can support effective HRC by a combination of comprehensive training and education, empowerment and incentives supported by an appropriate HR system.

In recent decades, childhood in Japan has undergone significant transformations. Government policies geared at boosting women's labor force participation, a declining fertility rate, rising costs of having children on the one hand, and increased spending on public childcare and support measures for families, on the other hand, contribute to these ongoing changes. Having only one child is becoming the norm while mothers' role in society is shifting. The traditional family structure is moving from the previously predominant male breadwinner model to more dual-earner families. Children now spend significant amounts of time in care and education institutions.

In this chapter, we analyze current configurations of early childhood in institutions and the family from a policy perspective and regarding children's predominant education and care arrangements. Drawing on various survey data sets and evidence from demographic statistics to pedagogical ethnographies, we look at how childcare policies and families reshape the organization of children's lives and outline how institutions and educators create learning experiences aligned with the values of a collectivist society. However, despite being deeply rooted in traditional child-rearing goals, many parents also subscribe to rigorous educational arrangements from early childhood onwards to prepare children for success in a competitive education system. The chapter finishes with an outlook on future directions of how policymakers and the ongoing institutionalization of childhood continue to change children's lives.