With the dynamic development of internet, various protocols and applications had been gradually matured on the network. The network has objective merits such as getting beyond the limits of time and space and change the tradition teaching model. Otherwise, the learning portfolios documented by on-line learning websites help teachers keep track of students¡¦ learning process. With the educational information, teachers would be more able to observe students¡¦ learning in real time and provide students with different decision rules under various time frames for teachers to understand both students¡¦ learning behaviors and process instantaneously. Nevertheless, technology mediated learning (TML) refers to an environment in which the learner interacts with learning materials, peers, and/or instructors that are mediated through advanced information technology. Recently, there have been increasing interests in investigating if TML can yield positive learning outcome. However, the rapid growth of information technology concerning analyzing the learning track is of various analytic approaches and thus is really complicated. The lack of one integrative analysis of all the possible use of the diverse analyzing frameworks prevents teachers from picking one most appropriate analyzing framework for their own teaching. Accordingly, this research compares and contrasts the most prevailing data analyzing technique¡Ðdata mining and the traditional statistical analysis approaches with the hope to allocate matching analyzing tools for various kinds of courses as well as to provide teachers with immediate decision rules as bases for predicting students¡¦ possible learning behaviors.

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In recent years, learning technology has become a very important addition to the toolkit of instructors at any level of education and training. Not only offered as a substitute in distance education, but often complementing traditional delivery methods, e-learning is considered an important component of modern pedagogy. Particularly in the last decade, learning technology has seen a very rapid growth following the large-scale development and deployment of e-learning financed by both Governments and commercial enterprises. These turned e-learning into one of the most profitable sectors of the new century, especially in recession times when education and retraining have become even more important and a need to maximise resources is forced by the need for savings. Interestingly, however, evaluation of e-learning has been primarily based on the consideration of users’ satisfaction and usability metrics (i.e. system engineering perspective) or on the outcomes of learning (i.e. gains in grades/task performance). Both of these are too narrow to provide a reliable effect of the real impact of learning technology on the learning processes and lead to inconsistent findings. The key purpose of this thesis is to propose a novel, data-driven framework and methodology to understand the effect of e-learning by evaluating the utility and effectiveness of e-learning systems in the context of higher education, and specifically, in the teaching of psychology courses. The concept of learning is limited to its relevance for students’ learning in courses taught using a mixture of traditional methods and online tools tailored to enhance teaching. The scope of elearning is intended in a blended method of delivery of teaching. A large sample of over 2000 students taking psychology courses in year 1 and year 2 was considered over a span of 5 five years, also providing the scope for the analysis of some longitudinal sub-samples. The analysis is accomplished using a psychologically grounded approach to evaluation, partially informed by a cognitive/ behavioural perspective (online usage) and a differential perspective (measures of cognitive and learning styles). Relations between behaviours, styles and academic performance are also considered, giving an insight and a direct comparison with existing literature. The methodology adopted draws heavily from data mining techniques to provide a rich characterisation of students/users in this particular context from the combination of three types of metrics: cognitive and learning styles, online usage and academic performance. Four different instruments are used to characterise styles: ASSIST (Approaches to learning, Entwistle), CSI (Cognitive Styles Inventory, Allinson & Hayes), TSI (Thinking Styles Inventory and the mental self-government theory, Sternberg) and VICS-WA (Verbal/Imager and Wholistc/Analytic Cognitive style, Riding, Peterson) which were intentionally selected to provide a varied set of tools. Online usage, spanning over the entire academic year for each student, is analysed applying web usage mining (WUM) techniques and is observed through different layers of interpretation accounting for behaviours from the single clicks to a student’s intentions in a single session. Academic performance was collated from the students’ records giving an insight in the end-of-year grades, but also into specific coursework submissions during the whole academic year allowing for a temporal matching of online use and assessment. The varied metrics used and data mining techniques applied provide a novel evaluation framework based on a rich profile of the learner, which in turn offers a valuable alternative to regression methods as a mean to interpret relations between metrics. Patterns emerging from styles and the way online material is used over time, proved to be valuable in discriminating differences in academic performance and useful in this context to identify significant group differences in both usage and academic performance. As a result, the understanding of the relations between e-learning usage, styles and academic performance has important practical implications to enhance students’ learning experience, in the automation of learning systems and to inform policymakers of the effects of learning technology has from a user and learner-centred approach to learning and studying. The success of the application of data mining methods offers an excellent starting point to explore further a data-driven approach to evaluation, support informed design processes of e-learning and to deliver suitable interventions to ensure better learning outcomes and provide an efficient system for institutions and organization to maximise the impact of learning technology for teaching and training.

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While extensive research has been done on technology-mediated learning (TML) in North America, such research is not easily transferable to the Caribbean, as there are notable socio-cultural and economic factors that affect such methods of course delivery. Limited research has been recorded about TML within a Caribbean context. This study employed a qualitative research methodology to gain an understanding of the individual and collective experiences of Jamaican educators who are using technology-mediated learning within the classroom. The methodology employed solicited the participation of one group of educators for this research. The two approaches that were used to collect data were group interviews and one-on-one interviews. The findings revealed that while faculty were keen on leveraging the available technology, there were still faculty, student and institutional challenges that were being encountered, ultimately affecting the effectiveness of the technology used to complement the teaching and learning process. / Adult Education

With the increasing access to mobile devices in developing countries, the number of pilots and projects embracing mobile devices as learning tools is also growing. The important role it can play in improving education is also positively received within education communities. But, providing a successful mobile learning service is still significantly challenging. The considerable problems arise due to existing pedagogical, technological, political, social and cultural challenges and there has been a shortage of research concerning how to deploy and sustain this technology in a resource constrained educational environment. There are studies mainly conducted in sub-Saharan countries, India, and Latin America, which provide some guidelines for incorporating technology in the existing educational process. However, considering the contextual differences between these regions and other countries in Asia, such as Nepal, it requires a broader study in its own challenging socio-cultural context. In response to this difficulty, the aims of this exploratory research work are to study the distinct challenges of schools’ education in Nepal and evaluate the use of open-source devices to provide offline access to learning materials in order to recommend a sustainable mobile learning model. The developmental study was conducted in University of West London in order to assess the feasibility of these devices. The main study in Nepal explored i) the overall challenges to education in the challenging learning environment of schools with limited or no access to ICT, ii) how ICT might be helping teaching and learning in the rural public schools, and iii) how an offline mobile learning solution based on the open source platforms may facilitate English language teaching and learning. Data collection primarily involved interviews, questionnaires, observations and supplemented by other methods. This thesis presents the sustainable model for deploying and supporting mobile technology for education, which is based on the findings emerging from completed exploratory studies in Nepal. It highlights all the aspects that need to be addressed to ensure sustainability. However, to translate this understanding to a design is a complex challenge. For a mobile learning solution to be used in such challenging learning contexts, the need is to develop simple and innovative solutions that provide access to relevant digital learning resources and train teachers to embed technology in education. This thesis discusses these findings, limitations and presents implications for the design of future mobile learning in the context of Nepal.

yes / The introduction in the early 1990s of the world wide web was a significant factor in the creation of a global information society, allowing new possibilities to work, entertain and communicate, from home, at the workplace or on the move. In recent years, there have been significant advances in information technology (IT), while a new generation of applications that are able to harness the power of the world wide web has been introduced under the banner of Web 2.0. The increased capabilities of IT and the nature of Web 2.0 applications have attracted interest from the academic community as a means of enhancing the delivery of higher education. This paper considers the implications of introducing technology into the higher education sector from the perspectives of academic staff and students, with particular emphasis on the use of technology and Web 2.0 applications, and the relationship between technology and teaching and learning.

yes / The delivery of higher education, as with many aspects of society in general, is becoming increasingly shaped by the availability of the Internet in our everyday lives. Associated with the growth in Internet availability, web 2.0 technologies have become increasingly popular over recent years, especially with the `Google Generation¿, a term used to describe those brought up with the Internet. The exploitation of such tools has led to the widespread take-up of social networking sites, the growth in blogging and twitter, and the adoption of wikis and social media sites for the sharing and publishing of content. The opportunities introduced by technology enhanced learning (TEL), and in particular web 2.0 tools and applications, are now starting to attract significant interest from within the academic community. The lecture begins by describing the advances in digital communication technologies that are allowing new approaches to teaching and learning to be investigated. A review of how technology is currently employed in higher education then follows, before proceeding to outline the latest developments associated with web 2.0 tools and applications and the opportunities these present. A review of significant findings from within the academic research community is then given. To conclude, an assessment of what are the likely drivers that are creating a need for change within the higher education sector is presented before outlining the implications of introducing TEL from the perspectives of both students and teaching staff.

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