Conclusions: Future Directions in Researching Mobile Learning

Mobile learning is in the process of developing its identity as a distinct field of research with particular concerns and challenges. What can researchers learn from neighbouring disciplines and how can they harness new techniques and technologies, to smooth the way for their research efforts? On the basis of an analysis of key messages and reflections from those conducting mobile learning research, the author proposes four generic principles that can guide future research in mobile learning. The chapter also points to new directions in mobile learning research within the broader research agenda of Technology Enhanced Learning. These indicative directions should be helpful to all involved in setting future agendas for mobile learning research and development

Using activity-oriented design methods (AODM) to investigatemobile learning

The past few years have witnessed significant interest and developments in researching mobile learning, with a lot of important contributions being made towards understanding and defining mobile learning. However, current research efforts are being redirected towards a new agenda to establish appropriate methods for investigating mobile learning, as this book testifies. This chapter contributes to this research effort by articulating how to adapt Activity-Oriented Design Methods (AODM – see Mwanza, 2002) for use in mobile learning research

Establishing the design knowledge for emerging interaction platforms

While awaiting a variety of innovative interactive products and services to appear in the market in the near future such as interactive tabletops, interactive TVs, public multi-touch walls, and other embedded appliances, this paper calls for preparation for the arrival of such interactive platforms based on their interactivity. We advocate studying, understanding and establishing the foundation for interaction characteristics and affordances and design implications for these platforms which we know will soon emerge and penetrate our everyday lives. We review some of the archetypal interaction platform categories of the future and highlight the current status of the design knowledge-base accumulated to date and the current rate of growth for each of these. We use example designs illustrating design issues and considerations based on the authors’ 12-year experience in pioneering novel applications in various forms and styles

Mutual learning as a resource for research design

Copyright 2014 ACM. Mutual learning processes provide the context for this paper. We reflect on the early research design process of an ongoing project that is investigating the potential contributions of the Internet of Things (IoT) to ageing well. While mutual learning is assumed and embedded in Participatory Design tools and methods, it was only when we explicitly used mutual learning processes, as a resource in the research design of the project, that we could make clear and accountable decisions about how to proceed. The paper ends with a reaffirmation of the importance of mutual learning processes in Participatory Design, noting the opportunities, even imperatives, for foregrounding mutual learning processes in the design of IoT applications

Mobile Learning in the Institution of Higher Learning for Malaysia students : Culture Perspectives

Mobile learning usage in a developing country like Malaysia can be considered new. This literature research  is a state of art overview to discuss current issues. The emerging issues come from: types of mobile learning and learning styles; implementation issues of mobile learning; culture dimensions; and user readiness to accept the mobile learning technology. Currently, there is a lack of research about culture aspects to improve mobile learning and university students’ engagement in Malaysia. The objective of this research is to find the gap from the culture perspectives of mobile learning in Malaysia at public institutions of higher learning. The discussions have found that the culture dimensions are not a suitable approach to tackle mobile learning. It is therefore suggested to use a more grounded and sensible cultural  approach for local context

Getting Real: A Naturalistic Methodology for Using Smartphones to Collect Mediated Communications

This paper contributes an intentionally naturalistic methodology using smartphone logging technology to study communications in the wild. Smartphone logging can provide tremendous access to communications data from real environments. However, researchers must consider how it is employed to preserve naturalistic behaviors. Nine considerations are presented to this end. We also provide a description of a naturalistic logging approach that has been applied successfully to collecting mediated communications from iPhones. The methodology was designed to intentionally decrease reactivity and resulted in data that were more accurate than self-reports. Example analyses are also provided to show how data collected can be analyzed to establish empirical patterns and identify user differences. Smartphone logging technologies offer flexible capabilities to enhance access to real communications data, but methodologies employing these techniques must be designed appropriately to avoid provoking naturally occurring behaviors. Functionally, this methodology can be applied to establish empirical patterns and test specific hypotheses within the field of HCI research. Topically, this methodology can be applied to domains interested in understanding mediated communications such as mobile content and systems design, teamwork, and social networks

Dissolving boundaries: social technologies and participation in design

Abstract: The emphasis on participation in social technologies challenges some of our traditional assumptions about the role of users and designers in design. It also exposes some of the limitations and assumptions about design embedded in our traditional models and methods. Based on a review of emerging practice we present four perspectives on design in the context of social technologies. By presenting this âlay of the landâ, we seek to contribute to ongoing work on the nature of participation and design in the context of social technologies. We draw particular attention to the ways in which roles and responsibilities in design are being reassigned and redistributed. As traditional boundaries between design and use and designer and user dissolve, design is becoming more public. In the context of social technologies design is moving out into the wild

My neighbourhood: Studying perceptions of urban space and neighbourhood with moblogging

We describe a novel methodology that examines perceptions of urban space, and present a study using this methodology that explores people’s perceptions of their neighbourhood. Previous studies of spatial cues have involved a variety of tasks such as pointing and sketching to externalise participants’ internal spatial maps. Our methodology extends these approaches by introducing mobile technologies alongside traditional materials and tasks. Participants use mobile phones to carry out self-guided neighbourhood tours. We collected rich qualitative data from 15 participants during two workshops and a self-directed neighbourhood tour. Our study highlights the use of public and private landmarks, differences in spatial maps of rural versus urban dwellers, and individual variance in orientation strategies. These themes suggest guidelines for the design of technologies with personalised spatial profiles

In The Wild Residual Data Research and Privacy

As the world becomes increasingly dependent on technology, researchers in both industry and academia endeavor to understand how technology is used, the impact it has on everyday life, the artifact life-cycle and overall integrations of digital information. In doing so, researchers are increasingly gathering ‘real- world’ or ‘in-the-wild’ residual data, obtained from a variety of sources, without the explicit consent of the original owners. This data gathering raises significant concerns regarding privacy, ethics and legislation, as well as practical considerations concerning investigator training, data storage, overall security and data disposal. This research surveys recent studies of residual data gathered in-the-wild and analyzes the challenges that were confronted. Amalgamating these insights, the research presents a compendium of practices for addressing the issues that can arise in-the-wild when conducting residual data research. The practices identified in this research can be used to critique current projects and assess the feasibility of proposed future research