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Learner-centered interactions determine the look and feel of online courses, influencing the way learners experience them. In this chapter we investigate considerations related to three types of interactions: learner–content, learner–instructor, and learner–learner. Learners interact with content through the course structure and layout. They also interact with peers who may be cast in the role of community members, there to provide social support, or they may be more prominently cast as information providers and/or collaborators. The learner is at the center of both content and peer interactions. Instructor interactions set expectations for learners and facilitate learner interactions with content and peers. Instructors are instrumental forces in bringing about connections between learners, enabling the social presence necessary for collaboration. Instructor interaction may also be relational, enabling individualized connections between learners and the instructor. Redesign decisions center on creating a course structure that fits the learner and content and results in a satisfying course experience. We use the power of metaphor to bring into focus the most relevant considerations. In the end, we illustrate the redesign of a single course through the lens of three separate metaphors to demonstrate how metaphor shapes the process, bringing together design and interaction decisions to create unique and elegant course designs.

To create circular economies, we need supply systems to convey materials between their use lives. Often, though, it is not possible to control an entire supply network. Without a coordinator to implement circular economy principles, how can circular supply systems come to be? This chapter sets out to build on complex adaptive systems (CAS) theory and circular economy research to conceptualize how information flows between actors can facilitate the emergence of a circular supply system. It begins by outlining why a supply network can be considered a CAS, as well as the CAS progression from information to adaptation to emergence. Next, it argues that information on local supply networks, extended supply systems, and biosphere impacts is particularly important for circular production. Finally, it concludes with two potential types of emergence that can stem from these information flows: (1) new actor roles and networks and (2) new spatial and temporal patterns. Ultimately, this conceptual overview aims to give researchers and practitioners a CAS frame for thinking about how continual adaptation to information flows can enable change toward circular supply systems.

This study examines the scheduling problem for a two-stage flowshop. All jobs are immediately available for processing and job characteristics including the processing times and due dates are known and certain. The goals of the scheduling problem are (1) to minimize the total flowtime for all jobs, (2) to minimize the total number of tardy jobs, and (3) to minimize both the total flowtime and the total number of tardy jobs simultaneously. Lower bound performances with respect to the total flowtime and the total number of tardy jobs are presented. Subsequently, this study identifies the special structure of schedules with minimum flowtime and minimum number of tardy jobs and develops three sets of heuristics which generate a Pareto set of bicriteria schedules. For each heuristic procedure, there are four options available for schedule generation. In addition, we provide enhancements to a variety of lower bounds with respect to flowtime and number of tardy jobs in a flowshop environment. Proofs and discussions to lower bound results are also included.

To address management issues in the development of flexible production systems in the enterprises of knowledge-intensive industries, this chapter considers four basic approaches to planning production processes. Based on these approaches, the methodology of the agent-based approach, which satisfies the fundamental requirements of today's production systems, is formulated, with much attention paid to the rules of dispatching as a key tool of operational control over the production plan and its implementation. The advantage of simulation-based approaches is that they can dynamically adjust the ongoing integration of planning, depending on the state of flexible production systems, in the use of combined approaches and methods of management of production processes.

The intention of this article is to show possible contributions of the concept of autonomous cooperation to enable complex adaptive logistics systems (CALS) to cope with increasing complexity and dynamics and therefore to increase the systems' information-processing capacity by implementing autopoietic characteristics. In order to reach this target, the concepts of CALS and autopoietic systems will be introduced and connected. The underlying aim is to use the concept of self-organization as one of their essential similarities to lead over to the concept of autonomous cooperation as the most narrow view on self-organizing systems, which is discussed as a possible approach to enable systems to handle an increasing quantity of information. This will be analyzed from both a theoretical and an empirical point of view.

The purpose of this chapter is to present a summary of the literature related to homework. First, information on the search procedures is provided, including the criteria for inclusion in this review. Second, a historical overview of homework in the United States is provided, including definitions and major changes in public opinion over time. The third section addresses the difficulties experienced by students with emotional disabilities in regard to homework. The fourth section reviews the homework policies presently in place at local school districts across the U.S. The fifth section discusses the effects of homework when basic classroom strategies, cooperative homework teams, self-management and goal setting, and assignment completion strategies are used. The sixth section describes the homework practices used, as reported by teachers and students. The seventh section describes the problems experienced by students with disabilities, from the perspective of teachers, parents, and students. A final section describes the kinds of problems associated with home-school communication.

Increasing constraints on personnel and resources have led to a focus on alternative methods of transmitting knowledge to novices, whether university students or newly hired staff. This chapter focuses on one such alternative through the use of a technology-based educational delivery system (TBEDS). Prior research has addressed individual components of technology-supported systems or performed experiments of limited time and direct external relevance to the participants, but has not addressed the effect of a holistic approach to technology-based learning on users. This study capitalizes on a unique, holistically designed TBEDS to longitudinally examine the impact of systems on novices' procedural knowledge acquisition under conditions of actual usage. The longitudinal data also illustrates the role of user-determined experiential practice on achievement as moderated by comfort with technology. The findings indicate a strong relationship between the use of a TBEDS for repeated experiential practice and procedural knowledge acquisition. Individual components of effort (quantity of problems attempted, frequency of practice sessions, and quality of practice) are examined, with quantity being significantly positively related to performance, as is quality when the user is accountable to an external authority for that quality.

A survey of multi-objective scheduling techniques on the job shop problem is offered in this chapter. The survey traces the development of techniques from Integer programming to genetic algorithms that take advantage of the power of recent computing technology. Applications are in areas as diverse as job scheduling, nurse scheduling, and groundwater monitoring.