Safe, Remote-Access Swarm Robotics Research on the Robotarium

This paper describes the development of the Robotarium -- a remotely accessible, multi-robot research facility. The impetus behind the Robotarium is that multi-robot testbeds constitute an integral and essential part of the multi-agent research cycle, yet they are expensive, complex, and time-consuming to develop, operate, and maintain. These resource constraints, in turn, limit access for large groups of researchers and students, which is what the Robotarium is remedying by providing users with remote access to a state-of-the-art multi-robot test facility. This paper details the design and operation of the Robotarium as well as connects these to the particular considerations one must take when making complex hardware remotely accessible. In particular, safety must be built in already at the design phase without overly constraining which coordinated control programs the users can upload and execute, which calls for minimally invasive safety routines with provable performance guarantees.Comment: 13 pages, 7 figures, 3 code samples, 72 reference

Collaborative Experimentation and Simulation: A Pathway to Improving Student Conceptualization of the Essentials of System Dynamics and Control Theory

The overarching goal of this research is to improve conceptualization of System Dynamics and Controls concepts by incorporating a Web-facilitated curriculum to enable intercampus collaboration and remotely-accessible or virtual systems. This approach will complement lecture-based curricula and will strongly enhance students’ conceptualization and exposure to System Dynamics and Controls fundamentals by providing less restricted exposure to a variety of systems that encompass the more important Dynamic Systems concepts. The plan involves the development of a System Dynamics Concepts Inventory and the implementation and assessment of three Web-enabled laboratory formats: (1) inter-campus collaborative experimentation, (2) remotely-accessible experiments, and (3) virtual system experiments. Each format has its inherent advantages and disadvantages. Remotely-accessible experiments, for example, can be made more readily available to students outside of regular laboratory hours, but the lack of hands-on exposure limits the potential scope of the experiments. Each format has been preliminarily implemented using a variety of dynamics systems that reflect some of the more important fundamentals pertinent to System Dynamics. These activities are currently being incorporated into a laboratory course at the University of Texas at San Antonio (UTSA) and a lecture course at the University of Texas - Pan American (UTPA). A preliminary Course Inventory is being developed in collaboration with faculty at both institutions. An initial assessment of each laboratory format has been completed. This paper reports on the findings including a detailed discussion of the development of the Course Inventory, a discussion of the pros and cons of implementing each format, and an evaluation of the impact of each format in addressing student conceptualization of a few key fundamentals

PILAR: a Federation of VISIR Remote Laboratory Systems for Educational Open Activities

Social demands have promoted an educational approach based on an “anywhere and anytime” premise. Remote laboratories have emerged as the answer to the demands of technical educational areas for adapting themselves to this scenario. The result has not only benefit distance learning students but has provided new learning scenarios both for teachers and students as well as allowing a flexible approach to experimental topics. However, as any other solution for providing practical scenarios (hands-on labs, virtual labs or simulators), remote labs face several constraints inherited from the subsystems of its deployment hardware (real instruments, equipment and scenario) and software (analog/digital conversions, communications, workbenches, etc.). This paper describes the Erasmus+ project Platform Integration of Laboratories based on the Architecture of visiR (PILAR) which deals with several units of the federation installed in different educational institutions and devoted to analog electronics and electrical circuits. Based on the limitations of remote labs, the need for the federation will be justified and its benefits will be described by taking advantage of its strengths. The challenges that have come up during the different stages and the different approaches to design are also going to be described and analyzedinfo:eu-repo/semantics/publishedVersio

Enabling peer-to-peer remote experimentation in distributed online remote laboratories

Remote Access Laboratories (RALs) are online platforms that allow human user interaction with physical instruments over the Internet. Usually RALs follow a client-server paradigm. Dedicated providers create and maintain experiments and corresponding educational content. In contrast, this dissertation focuses on a Peer-to-Peer (P2P) service model for RALs where users are encouraged to host experiments at their location. This approach can be seen as an example of an Internet of Things (IoT) system. A set of smart devices work together providing a cyber-physical interface for users to run experiments remotely via the Internet. The majority of traditional RAL learning activities focus on undergraduate education where hands-on experience such as building experiments, is not a major focus. In contrast this work is motivated by the need to improve Science, Technology, Engineering and Mathematics (STEM) education for school-aged children. Here physically constructing experiments forms a substantial part of the learning experience. In the proposed approach, experiments can be designed with relatively simple components such as LEGO Mindstorms or Arduinos. The user interface can be programed using SNAP!, a graphical programming tool. While the motivation for the work is educational in nature, this thesis focuses on the technical details of experiment control in an opportunistic distributed environment. P2P RAL aims to enable any two random participants in the system - one in the role of maker creating and hosting an experiment and one in the role of learner using the experiment - to establish a communication session during which the learner runs the remote experiment through the Internet without requiring a centralized experiment or service provider. The makers need to have support to create the experiment according to a common web based programing interface. Thus, the P2P approach of RALs requires an architecture that provides a set of heterogeneous tools which can be used by makers to create a wide variety of experiments. The core contribution of this dissertation is an automaton-based model (twin finite state automata) of the controller units and the controller interface of an experiment. This enables the creation of experiments based on a common platform, both in terms of software and hardware. This architecture enables further development of algorithms for evaluating and supporting the performance of users which is demonstrated through a number of algorithms. It can also ensure the safety of instruments with intelligent tools. The proposed network architecture for P2P RALs is designed to minimise latency to improve user satisfaction and learning experience. As experiment availability is limited for this approach of RALs, novel scheduling strategies are proposed. Each of these contributions has been validated through either simulations, e.g. in case of network architecture and scheduling, or test-bed implementations, in case of the intelligent tools. Three example experiments are discussed along with users' feedback on their experience of creating an experiment and using others’ experimental setup. The focus of the thesis is mainly on the design and hosting of experiments and ensuring user accessibility to them. The main contributions of this thesis are in regards to machine learning and data mining techniques applied to IoT systems in order to realize the P2P RALs system. This research has shown that a P2P architecture of RALs can provide a wide variety of experimental setups in a modular environment with high scalability. It can potentially enhance the user-learning experience while aiding the makers of experiments. It presents new aspects of learning analytics mechanisms to monitor and support users while running experiments, thus lending itself to further research. The proposed mathematical models are also applicable to other Internet of Things applications

Innovating Pedagogy 2015: Open University Innovation Report 4

This series of reports explores new forms of teaching, learning and assessment for an interactive world, to guide teachers and policy makers in productive innovation. This fourth report proposes ten innovations that are already in currency but have not yet had a profound influence on education. To produce it, a group of academics at the Institute of Educational Technology in The Open University collaborated with researchers from the Center for Technology in Learning at SRI International. We proposed a long list of new educational terms, theories, and practices. We then pared these down to ten that have the potential to provoke major shifts in educational practice, particularly in post-school education. Lastly, we drew on published and unpublished writings to compile the ten sketches of new pedagogies that might transform education. These are summarised below in an approximate order of immediacy and timescale to widespread implementation

Primary Preservice Science Teachers’ Perceptions of Practical Work in Remote Learning Environments

Science practical work is renowned for providing authentic environments for science learning in ways that reduce the abstractness of concepts. Significant resources are used to provide facilities such as laboratories to ensure that practical work is implemented in science learning. Practical work is important for primary preservice science teachers, who in turn will implement the instructional strategy in their future classrooms. The rise in remote learning has prompted researchers and instructors to reimagine ways of facilitating practical work in ways that involve human-machine interactions in significant ways. This study used an interpretive paradigm and an explorative single-case-study design to explore primary preservice science teachers’ perceptions of conducting practical work in remote learning environments. A framework based on the Internet of Things- (IoT) enabled tools was used to mediate the understanding of the study findings. Data were collected from 25 preservice teachers by means of experiment reports and observation of practical work activities. The findings of the study showed that in the absence of proper systems for conducting practical work remotely and limited internet connectivity, the participating preservice teachers used internet searches to inform them of how to conduct experiments using household materials. The experiment reports comprised experiment demonstrations developed through the use of filmmaking applications, cloud computing tools, and social media collaborations. The paper makes recommendations to expand preservice teachers’ technological competencies to include the use of virtual laboratories to conduct practical work in remote learning environments