Virtual pedagogical model: development scenarios

info:eu-repo/semantics/publishedVersio

Mobile Learning: location, collaboration and scaffolding inquiry

Critiques of mobile learning pedagogy are concerned with whether such approaches are technology led. This chapter discusses how the particular features of mobile learning can be harnessed to provide new learning opportunities in relation to collaboration, inquiry and location-based learning. Technology supported inquiry learning is a situation rich with possibilities for collaboration. In particular, mobile learning offers new possibilities for scaffolding collaboration together with its other better-known features such as scaffolding the transfer between settings and making learning relevant by making use of the possibilities of location-based learning. These features are considered as part of mobile learning models, in particular mobile collaborative learning models

Mobile learning application website for educators

PDA’s, mobile phone and smart phone are the example of personal mobile devices that is has the ability to provide educational content. Followed by the transactional distance theory is relevant to the template design in mobile learning application for education through a website. The idea suggested that the transactional distance includes the psychological rather than geographical distance among the educators and students which it is link to the balance of the dialogue, structure (course design), and autonomy of learner (Moore & Kearsley, 2005). This study addresses the suitable design patterns layout for mobile learning application based on the student preferences in the terms of navigation menu, learning contents view, searching method and sorting method, enhance a mobile learning application model and test. The objective of this research was to help the educators creating the mobile learning application through a website. The study of design patterns for mobile learning application template is, by analyze the student preferences with quantitative method survey. Generic design templates for mobile learning application will be develop with the ADDIE model concepts. A working prototype system website will be develop after the findings of the design patterns based on the preferences of students in UTMs' postgraduate master student will be discussed and evaluated

Adoption of innovative e-learning support for teaching: A multiple case study at the University of Waikato

In response to recent social, economic, and pedagogical challenges to tertiary-level teaching and learning, universities are increasingly investigating and adopting elearning as a way to engage and motivate students. This paper reports on the first year of a two-year (2009-2010) qualitative multiple case study research project in New Zealand. Using perspectives from activity theory and the scholarship of teaching, the research has the overall goal of documenting, developing, and disseminating effective and innovative practice in which e-learning plays an important role in tertiary teaching. A “snapshot” of each of the four 2009 cases and focused findings within and across cases are provided. This is followed by an overall discussion of the context, “within” and “across” case themes, and implications of the research

Psychological contract and knowledge management mediated by cultural dynamics

Contact centres are the vital link in the value chain between the organisation and its customers because they offer essential front line sales and services of products. Evaluation of their success can be assessed in terms of customer retention, up selling and the promotion of the brand. This is brought into sharp focus if the centre is outsourced because of the impact of the strategic behaviour of the principal and its relation with its agents. The association of employees with the brand in outsourced operation is not as effective as in captive operations partly because communications from principal to agent are attenuated. Emotional connectivity, diagnostic skill set, requirement gathering, and knowledge are some of the most sensitive qualities required in agents working in the contact centres. These characteristics are found to differ according to whether this is in-house or outsourced operation and affect the psychological contract between the service provider and its employees. In addition, the employees are unlikely to achieve any rewards and are unable to offer any commitments to the customer in an outsourced operation; hence the “psychological contract” is breached. One of the consequences of this breach is on knowledge management. The knowledge of an employee regarding the products and services is lost with that employee’s attrition. Also employees’ then have little interest towards customer service and organizational welfare, which impacts on the customer centric goals of the principal. We argue that the psychological contract between employer and an employee and has positive influence on Knowledge Diffusion, mediated by cultural dynamics, which further contributes to the overall organizational effectiveness. This paper aims to investigate, as a pilot study, the elements of organisational culture and secondly its role in the diffusion of knowledge in contact centres, in-house and outsourced. We demonstrate how by deploying a blend of qualitative methods, it is possible to perceive the effect of each element of the cultural web on diffusion. Finally we propose a hypothesis of the role that Power Distance (Hofstede, 1980) can play, as a proxy for the Psychological Contract to leverage knowledge diffusion

Understanding the role of demographic, perceptual and personality factors in the use of mobile data services

Conventional telecommunication technologies, characterised by wires and fixed locations, are rapidly giving way to mobile data services (MDSs). Recent technological developments have opened up possibilities for various applications of MDSs. This thesis specifically focuses on two promising MDS applications: mobile banking (m-banking) and mobile learning (m-learning). It signifies an important step in the testing of theories related to demographics, perceptions and personality traits in the use of MDSs, through three studies. In Study 1, which examines the digital divide in the use of MDSs, I analyse the effects of gender and age differences on the usage of MDSs. An online survey was disseminated in the United Kingdom (UK), and completed responses were received from 2,000 mobile phone users and non-users on both sides of the divide (i.e., with or without access to mobile information and communication technologies (IeTs)). I developed eight hypotheses and used logistic regression and chi-square tests to test them. My findings demonstrate that men are more likely than women to use MDSs, and that young people are more likely than their older counterparts to use MDSs. The study contributes to the literature on MDSs by highlighting the issue of the digital divide. The study also provides insights to MDS providers and policymakers on how to develop and promote MDSs for different socio-demographic groups. In Study 2, I examine m-banking which is regarded as a killer application amongst all MDSs. This study has two parts. In Study 2 (Part I), I present a literature review of, and a classification framework for, the existing m-banking literature. Sixty-five articles related to m-banking were published in major journals and presented at conferences between January 2000 and June 2010. They belong to various disciplines, including information systems (IS), technology innovation, management and marketing. Study 2 (Part I) classifies these articles into five main categories: (1) m-banking overview and conceptualisation; (2):) m-banking applications and cases; (3) m-banking behaviour; (4) m-banking infrastructures; and (5) m-banking strategic, legal and ethical issues. Several new research questions that could yield valuable results in the m-banking field are given, including a fundamental question on users' switching behaviour from other banking channels to m-banking which is examined in further detail in Study 2 (Part II). In Study 2 (Part II), I develop a model that is anchored by expectancy theory and validate it using data collected from 493 mobile phone users in order to predict intentions to switch to m-banking. I chose the m-banking context because recent advances in mobile devices have made m-banking an attractive option for banks and mobile service providers; however, consumer demand for m-banking is low. The findings suggest that perceived mobility, relative advantage and self-efficacy are positively related to user intentions to switch banking channels. Perceived complexity is negatively related, whereas perceived financial resources and risk are not related to intentions to switch. Study 3 examines another key MDS, m-leaming which proposes to use a text messaging service as a tool to stimulate learners' activities. It examines whether learners' personalities influence their reactions to accessing course materials through m-learning messages. The Myers-Briggs Type Indicator (MBTI) was used to categorise learners into different personality groups. After conducting a field study with 217 students, it was found that learners of different personalities showed different levels of activities when receiving m-learning messages

When Things Matter: A Data-Centric View of the Internet of Things

With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. While IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume, but also noisy, and continuous. This article surveys the main techniques and state-of-the-art research efforts in IoT from data-centric perspectives, including data stream processing, data storage models, complex event processing, and searching in IoT. Open research issues for IoT data management are also discussed