Introduction to location-based mobile learning

[About the book] The report follows on from a 2-day workshop funded by the STELLAR Network of Excellence as part of their 2009 Alpine Rendez-Vous workshop series and is edited by Elizabeth Brown with a foreword from Mike Sharples. Contributors have provided examples of innovative and exciting research projects and practical applications for mobile learning in a location-sensitive setting, including the sharing of good practice and the key findings that have resulted from this work. There is also a debate about whether location-based and contextual learning results in shallower learning strategies and a section detailing the future challenges for location-based learning

Augmenting the field experience: a student-led comparison of techniques and technologies

In this study we report on our experiences of creating and running a student fieldtrip exercise which allowed students to compare a range of approaches to the design of technologies for augmenting landscape scenes. The main study site is around Keswick in the English Lake District, Cumbria, UK, an attractive upland environment popular with tourists and walkers. The aim of the exercise for the students was to assess the effectiveness of various forms of geographic information in augmenting real landscape scenes, as mediated through a range of techniques and technologies. These techniques were: computer-generated acetate overlays showing annotated wireframe views from certain key points; a custom-designed application running on a PDA; a mediascape running on the mScape software on a GPS-enabled mobile phone; Google Earth on a tablet PC; and a head-mounted in-field Virtual Reality system. Each group of students had all five techniques available to them, and were tasked with comparing them in the context of creating a visitor guide to the area centred on the field centre. Here we summarise their findings and reflect upon some of the broader research questions emerging from the project

Connecting Couples in Long-Distance Relationships : Towards Unconventional Computer-Mediated Emotional Communication Systems

The number of couples who find themselves in a long-distance relationship (LDR) is increasing for a wide range of reasons, such as overseas employment, academic pursuits, military duty, and similar circumstances. With the myriad of communication channels enabled by the low cost and ubiquity of computer-mediated communication technologies, couples in LDRs are able to stay in touch with each other around the globe. However, recent studies have revealed that the mainstream communication tools are inadequate to support the full spectrum of communication needed in intimate relationships. Emotional communication is one of the fundamental needs in close relationships, as it forms an important part of intimacy. This dissertation argues that there is a gap between what is known about LDR couples’ needs in research and what has been implemented for them in practice. The aim of this work is to bridge this gap by mediating emotional communication through unconventional user interfaces that use interaction solutions outside of the scope of their conventional use, with a particular focus on couples who sustain a committed LDR. Here, taking research through design as a core approach, a variety of qualitative methods were employed to seek answers to the research questions. This dissertation includes eight case studies, each of which is dedicated to answering its corresponding research question(s). Study I presents a systematic literature review which explored the current state of the art and identified the design opportunities. Study II introduces a series of co-design activities with five couples in LDRs to reveal the needs and challenges of users in an LDR. Studies III and IV propose two functional prototypes for unconventional communication systems to connect couples in LDRs. Study V showcases 12 design concepts of wearables created by the participants to support their own LDR. Study VI describes how four low-resolution prototypes created for mediating LDRs by the participants in the workshop would be used in real-world contexts. Studies VII and VIII each present a novel design tool to be used as a scaffold when designing communication systems for supporting LDRs: specifically, a conceptual design framework and a card-based design toolkit. This dissertation contributes new knowledge to the field of human-computer interaction through design interventions. It showcases a spectrum of practices which can be seen as a first step towards mediating emotional communication for couples in LDRs using unconventional communication systems. The findings comprise theoretical and empirical insights—derived from the eight case studies in which the author identified design opportunities and design considerations—relating to how couples in LDRs can be better supported by unconventional computer-mediated emotional communication systems

Mobile-assisted language learning [Revised and updated version]

Mobile-assisted language learning (MALL) is the use of smartphones and other mobile technologies in language learning, especially in situations where portability and situated learning offer specific advantages. A key attraction of mobile learning is the ubiquity of mobile phones. Typical applications can support learners in reading, listening, speaking and writing in the target language, either individually or in collaboration with one another. Increasingly, MALL applications relate language learning to a person’s physical context when mobile, primarily to provide access to location-specific language material or to enable learners to capture aspects of language use in situ and share it with others. Mobile learning can be formal or informal, and mobile devices may form a bridge connecting in-class and out-of-class learning. When learning takes place outside the classroom, it is often beyond the reach and control of the teacher. This can be perceived as a threat, but it is also an opportunity to revitalize and rethink current approaches to teaching and learning. Mobile learning appeals to a wide range of people for a variety of reasons. It may exclude some learners but it is often a mechanism for inclusion. It is likely that the next generation of mobile learning will be more ubiquitous, which means that there will be smart systems everywhere for digital learning. Mobile learning is proving its potential to address authentic learner needs at the point at which they arise, and to deliver more flexible models of language learning

Location-based and contextual mobile learning. A STELLAR Small-Scale Study

This study starts from several inputs that the partners have collected from previous and current running research projects and a workshop organised at the STELLAR Alpine Rendevous 2010. In the study, several steps have been taken, firstly a literature review and analysis of existing systems; secondly, mobile learning experts have been involved in a concept mapping study to identify the main challenges that can be solved via mobile learning; and thirdly, an identification of educational patterns based on these examples has been done. Out of this study the partners aim to develop an educational framework for contextual learning as a unifying approach in the field. Therefore one of our central research questions is: how can we investigate, theorise, model and support contextual learning

Thinking outside the box – A vision of ambient learning displays

Börner, D., Kalz, M., & Specht, M. (2011). Thinking outside the box – A vision of ambient learning displays. International Journal Technology Enhanced Learning, 3(6), 627–642.With a focus on the situated support of informal and non-formal learning scenarios in ubiquitous learning environments the presented paper outlines the authors’ vision of ambient learning displays - enabling learners to view, access, and interact with contextualised digital content presented in an ambient way. The vision is based on a detailed exploration of the characteristics of ubiquitous learning and a deduction of informational, interactional, and instructional aspects to focus on. Towards the vision essential research questions and objectives as well as a conceptual framework that acquires, channels, and delivers the information framed in the learning process are presented. To deliver scientific insights into the authentic learning support in informal and non-formal learning situations and to provide suggestions for the future design of ambient systems for learning the paper concludes with a research agenda proposing a research project including a discussion of related issues and challenges

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

OpenLearn and knowledge maps for language learning

This chapter presents new methodologies designed to facilitate language acquisition in open learning communities via open educational resources and knowledge mapping. It specifically focuses on the OpenLearn project developed by the Open University. This offers a virtual learning environment based on Moodle platform with free educational materials and knowledge media tools such as the instant messaging MSG, the video webconference FlashMeeting and the knowledge mapping software tool Compendium. In this work, these technologies and mapping techniques are introduced in order to promote open language learning. Ways in which teachers and students can make use of these OpenLearn tools and resources are discussed and some benefits fully described

RTST Trend Report: lead theme Contextualisation

Specht, M., Börner, D., Tabuenca, B., Ternier, S., De Vries, F., Kalz, M., Drachsler, H., & Schmitz, B. (2012). RTST Trend Report: lead theme Contextualisation. Deliverable 1.7 of STELLAR network of excellence. Heerlen, The Netherlands.In summary this trend-scouting report highlights different design dimensions of contextualizing learning. On the one hand designing educational context: the components and constituents of the educational setting, which also have to be orchestrated in an instructional design or the process of orchestration (Luckin, 2010, Specht, 2009) on the other hand bridging and linking learning contexts for seamless learning support: Wong et al. define design dimensions of seamless learning experiences and which gaps they identify and what challenges must be tackled to create seamless learning experiences (Wong, 2011).STELLAR Network of Excellence, Grant 23191