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The purpose of this paper is to provide a novel assembly simulation method to reduce the repetitive and tedious assembly simulation work. Currently, assembly simulation is always carried out by human–computer interaction, which is a time-consuming and tedious work. The most important reason for this problem is that the assembly simulation is a mapping between human intent and movements of models; at the same time, assembly information is transferred from semantic level to geometric level. However, some essential assembly information is lost during the transfer, and it must be accomplished through manual definition. To address the issue, a novel assembly simulation method is proposed in this paper based on semantics and geometric constraint.

First, an assembly operation semantic model is put forward to integrate and manage the semantic information of assembly, and some rules for modeling are generalized. Second, method for transferring assembly information from semantic level to geometric level is presented by dividing assembly operation into a set of simulation actions and providing some rules for this division. Then, a geometric constraint-based calculation method is proposed to obtain the essential parameters of each simulation action. Finally, cases are studied to demonstrate the effectiveness of the method.

Results show that laborious work would be reduced, and the redundant human participation would be avoided in assembly simulation.

It has the potential and possibility to change the current pattern of assembly simulation.

A novel assembly simulation method based on semantics and geometric constraint is presented to make assembly simulation more convenient and faster.

Entrepreneurship education is struggling to define itself, to create a meaningful knowledge base, and to develop, entrepreneurial skills in managers. As an integral part of this process, the utility and appropriate‐ness of various teaching methods are frequently explored. It is suggested that the behavioural simulation technology, which has been successfully used to teach strategic and organisational processes and to diagnose and develop managerial skills, may be appropriate for developing entrepreneurial skills. Empirical data are used to support the argument that behavioural simulations create an appropriate teacher‐learner environment to accomplish many of the learning objectives of entrepreneurship education.

This chapter presents a poverty simulation as a critical pedagogical tool that breaks down preconceptions and provides information about real-life challenges experienced by those who are poor. It allows students to develop the critical thinking skills, perspective-taking, and empathy. It provides an opportunity to take social and intellectual risks, and motivates civic engagement for positive social change. As such, this chapter contributes to the volume’s focus on curriculum and pedagogical changes using education to promote social change. Simulation participants attempt to successfully negotiate four 15-minute weeks within families of various sizes and resources. At the conclusion of the simulation, participants take a few minutes to reflect in writing on their experience. Students identify and discuss the social structures that they felt helped to perpetuate their poverty, as well as how micro-level interactions (i.e., with service providers, teachers, police, people in their neighborhood) affected their outcomes. Results show students increased understanding of the social issues contributing to poverty as well as consequences of poverty, and they report an increased desire to take action to affect positive social change in their community. The chapter concludes with thoughts and recommendations on how students from various disciplines could benefit from this poverty simulation.

The purpose of this paper is to consider how simulations are increasingly used in training programs for the development of skills such as leadership. However, the requirements of leadership development go beyond the development of task specific procedural knowledge or expertise that simulations have typically been used to develop. Leadership requires flexibility in the application of knowledge developed through simulations and the creation of linkages to behavioral execution skills needed to utilize that knowledge effectively in real world settings.

The successful acquisition of flexible expertise and the related execution skills requires instructional techniques that manage cognitive load, delay automatization of responses, and provide diversity in simulated experiences to ensure richness of the mental models developed while working on simulations. The successful transfer of that knowledge to real world settings requires supplemental instructional techniques that link the use of the mental models developed on simulations to the contexts and behavioral requirements of the trainees' roles in real world settings.

If simulations are going to be used effectively for the development of dynamic skills such as leadership there is a need to go beyond their traditional use. The execution of leadership skills requires flexible expertise. The successful acquisition of rich schemata and versatile mental models as the goal of leadership development programs calls for instructional techniques that also facilitate the successful manifestation of flexible expertise.

The paper shows that, when embedded in deliberative processing, application of knowledge developed though simulations and the creation of linkages to behavioral execution skills facilitates successful performance in complex and dynamic real world challenges.

Technology for training military teams has evolved through a convergence of advances in simulation technology for individual and collective training, methods for analyzing teamwork and designing training solutions, and intelligent tutoring technologies that adapt training to the student, to accelerate learning. A number of factors have slowed this evolution toward intelligent team tutoring systems (ITTS), including the challenges of processing communications data, which are the currency of teamwork, and the paucity of automated and generalizable measures of team work. Several systems fulfill a subset of the features required of an ITTS, namely the use of team training objectives, teamwork models, measures of teamwork, diagnostic capability, instructional strategies, and adaptation of training to team needs. We describe these systems: the Advanced Embedded Training System (AETS), Synthetic Cognition for Operational Team Training (SCOTT), the AWO Trainer, the Benchmarked Experiential System for Training (BEST), and the Cross-Platform Mission Visualization Tool. We close this chapter with recommendations for future research.

Using a routine dynamics perspective, the authors address a central question in a practice-driven institutional theory: where does change come from? In particular, the authors focus on the possibility that small variations in routines can accumulate into big changes in institutions. The analysis is limited strictly to endogenous change. The authors use narrative networks to formalize and operationalize key concepts, such as variation and change. The authors reinterpret results from a published simulation model (Pentland, Liu, Kremser, & Hærem, 2020) that examined endogenous change in organizational routines. The simulation suggests that over a wide range of conditions, minor variations can lead to irreversible structural changes in routines. In the absence of exogenous shocks and institutional entrepreneurs, patterns of action that were previously possible can become impossible. The mechanism underlying these changes requires both accumulation and forgetting. Without forgetting, small variations may pile up (like dirty laundry), but they will not result in big changes.

This study aims to advance the proposal to use immersive virtual learning environments to stimulate and reveal deep-seated knowledge about science, giving instructors and researchers unique possibilities for assessing and identifying intuitive physical science knowledge. Aside from the ability to present rich and dynamic stimuli, these environments afford bodily enactment of people’s understanding, which draws less from declarative knowledge stores and more from everyday experiences with the physical world.

The authors ground their proposal in a critical review of the impact of stimulus and task characteristics of traditional physics inventories. Using a grounded theory approach, the authors present classifications and interpretations of observed bodily enactments of physics understandings in a study where participants enacted their understanding of force and motion of space in an immersive, interactive mixed reality (MR) environment.

The authors find that instances of these action categories can be interpreted as relating to underlying knowledge, often identified by other studies. The authors thus replicate a number of prior findings, which provide evidence to establish validation for using MR simulation as a tool for identifying people’s physical intuitions.

This study targeted only a few specific physical science scenarios. Further, while a number of key insights about student knowledge came from the analysis, many of the observations are mere leads in need of further investigation and interpretation rather than core findings.

Immersive digital learning environments are primarily used for instruction. The authors propose to use and design them for assessment as well. This paper should prompt more research and development in this direction.

The purpose of this paper is to examine the impact of experiential simulation-based learning of employee self-efficacy.

The research approach is an exploratory case study of a group of trainees from the same organisation. Using a quasi-experiment, one group, pre-test-post-test design (Tharenou et al., 2007), a questionnaire with validated scales at Time 1 (T1) prior to training and Time (T2) three months after training were used. All scales had been validated by the researchers and had acceptable levels of reliability. In addition interviews are undertaken with the participants immediately at the end of the programme.

The research found strong evidence of the positive impact of the training on skills transfer to the workplace with support from supervisors as key criteria.

There remains a need for additional studies with larger and more diverse samples and studies which incorporate control groups into their design.

This study provided support for the transfer of knowledge using simulation-based training and advances our limited knowledge and understanding of simulation-based training as a form of experiential (management) learning and development.

This is the first study to undertake a longitudinal analysis of the impact on self-efficacy in the workplace and as such adds to the research in this field.

Media considerations are pedagogical rather than technological in nature. In online courses, we use technology to enable learner interaction. In this chapter, we focus on a process through which we identify media that will help bring our course to life. Technology tools come and go, quickly. While some specific tools are suggested, it is the process by which to identify and select media that is enduring. We begin with a discussion of media-enabled course activities that are used to guide the selection process. The 10 activities are organized by type of interaction they represent and the media characteristics they require. Media have affordances or functions that can be matched with identified course activities to meet learner interaction needs. These needs help to narrow the scope of our selection decisions. After exploring a variety of functions and tools, we exemplify the media selection process. We extend the work started in previous chapters by identifying media needs in light of design and interaction decisions under the playground and symphony metaphors. In so doing, we demonstrate how the phases of the redesign process inform our technology choices.

Preparing for a potential bioterroism is a difficult task for health care leaders because of the fundamental unpredictability of bioterroist acts. Complexity science thinking is presented as an approach that can help in this task. Basic concepts from complexity science, especially the role of relationships, are presented. Specific recommendations for action including sensemaking, learning, and improvisation are made. A case study is used to illustrate the power of complexity science thinking in assisting health care leaders addressing potential bioterroism. Questions for further research are presented.