Design of interactive visualization of models and students data

This document reports the design of the interactive visualizations of open student models that will be performed in GRAPPLE. The visualizations will be based on data stored in the domain model and student model, and aim at supporting learners to be more engaged in the learning process, and instructors in assisting the learners

Promoting engagement and learning in first year university studies: The role of personalisation

Student engagement in higher education can be conceptualised as involving three components: students’ social needs and circumstances, the cognitive characteristics of academic studies, and the prevailing institutional ethos or philosophy that specifies the relationships that students have with learning and knowledge. This paper reports on an investigation into student engagement in a first-year human development course at the University of Waikato at Tauranga, New Zealand where the teaching staff has a commitment to relating learning to individual experiences. Information from an end-of-course survey indicates that a philosophy of personalisation promotes learning engagement. Students reported that they were required to think a lot or a great deal, that they put time into the course assessments, and that they valued the human development course itself

Learning Analytics in Higher Education Development: A Roadmap

The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners’ data with the sole aim of using it to improve the student learning experience and the study environment. In this paper, we try to explore the concept and salient features of LA potential in higher education and suggest strategies on how this emerging field can make use of data mining techniques alongside learners’ data to produce useful and informed decision making. Using the Technology-Organisation–Human frameworks, the paper investigates the roadmap for successful implementation of LA in higher Educational Institutions. Keywords: Learning Analytics, Learning Management System, Higher education, Roadma

An IMS-Learning Design Editor for a Higher Education Blended Learning Scenario

The IMS-Learning Design has been developed to support the creation of reusable and pedagogically neutral learning scenarios and content. Although it is especially suitable for eLearning, there is a lot of interest on using it in higher education blended learning scenarios. However there are some related key issues which must be managed such as cultural bias and the need for expensive human resources to design and develop specification compliant units of learning. They can be addressed by the design of ad-hoc editors supporting concrete learning design units of learning. We suggest some solutions to overcome these limitations, based on our experience designing the user interface of an IMS-LD compliant editor, GDUS+. We also explain our user centering approach, and give some conclusions about the benefits of using IMS-LD

Facilitating constructivist e-learning by software agents

University of Technology, Sydney. Faculty of Information Technology.E-learning is being taken as an important means to satisfy the increasing demands for learning in today’s information society. Although considerable research effort has been devoted to facilitating e-learning, very little has been done to support constructivist e-leaming. This research attempts to develop an online constructivist learning environment (CLE) and utilize software agents to provide supportive services for learners to facilitate and assist them to build knowledge by using constructivist ways. Constructivists assume knowledge is constructed by learners. Learners are knowledge-constructors whereas teachers are facilitators for the construction. Constructivist learning theory provides a framework to develop an online CLE. The important issues are concerned with what supportive services should be provided for learners and how to provide these services. The services identified in the work include: • providing access to appropriate learning resources and learning strategies; • fostering meaningful interactions with content, teachers, and fellow learners; • supporting personalized learning for individual learners; • facilitating collaborative learning among learners in groups; and • aiding to timely evaluate learning outcomes. An innovative strategy is adopted to organize these services. They are provided for learners in non-intrusive ways. Learners are not forced to accept any of the services. They can autonomously take control over their learning. Meanwhile, they are offered services through suggestion or advice. These spontaneous services help them solve various possible problems in learning and assist them to progress in the online learning process. All the supportive services are adapted to individual learners. Three key adaptations, service content, presentation manner, and intervention degree, are applied. Profiles are built to characterize individual learning characteristics, including knowledge constitution, cognition ability, and learning styles. All the services are dynamically generated based on actual learning scenes. A learning process specification language, built upon Koper’s EML, is developed to describe the learning activities and processes and the corresponding supportive services. A new type of agents, process agents, is developed to realize the services. Three classes of agents, personal assistant agent, planning agent, and managing agent, have been incorporated into the learning environment to provide support for learners. They work in the background, monitor and evaluate individual learner’s learning, and provide supportive services for learners whenever necessary. Together they play a role of ''constructivist teacher". To demonstrate the work, a system prototype has been developed and a number of services have been implemented. A preliminary evaluation has illustrated the agent-based approach can facilitate construction of knowledge by individual learners

Panning for gold: designing pedagogically-inspired learning nuggets

Tools to support teachers and learning technologists in the creation of effective learning designs are currently in their infancy. This paper describes a metadata model, devised to assist in the conception and design of new learning activities, that has been developed, used and evaluated over a period of three years. The online tool that embodies this model was not originally intended to produce runtime executable code such as IMS-LD, but rather focussed on assisting teachers in the thought processes involved in selecting appropriate methods, tools, student activities and assessments to suit the required learning objectives. Subsequently, we have modified the RELOAD editor such that the output from our tool can be translated into IMS-LD. The contribution of this paper is the comparison of our data model with that of IMS-LD, and the analysis of how each can inform the other

Intelligent Mobile Learning Interaction System (IMLIS): A Personalized Learning System for People with Mental Disabilities

The domain of learning context for people with special needs is a big challenge for digi- tal media in education. This thesis describes the main ideas and the architecture of a system called Intelligent Mobile Learning Interaction System (IMLIS) that provides a mobile learning environment for people with mental disabilities. The design of IMLIS aims to enhance personalization aspects by using a decision engine, which makes deci- sions based on the user s abilities, learning history and reactions to processes. It allows for adaptation, adjustment and personalization of content, learning activities, and the user interface on different levels in a context where learners and teachers are targeting autonomous learning by personalized lessons and feedback. Due to IMLIS dynamic structure and flexible patterns, it is able to meet the specific needs of individuals and to engage them in learning activities with new learning motivations. In addition to support- ing learning material and educational aspects, mobile learning fosters learning across context and provides more social communication and collaboration for its users. The suggested methodology defines a comprehensive learning process for the mentally disabled to support them in formal and informal learning. We apply knowledge from the field of research and practice to people with mental disabilities, as well as discuss the pedagogical and didactical aspects of the design

Context-Aware and Adaptable eLearning Systems

The full text file attached to this record contains a copy of the thesis without the authors publications attached. The list of publications that are attached to the complete thesis can be found on pages 6-7 in the thesis.This thesis proposed solutions to some shortcomings to current eLearning architectures. The proposed DeLC architecture supports context-aware and adaptable provision of eLearning services and electronic content. The architecture is fully distributed and integrates service-oriented development with agent technology. Central to this architecture is that a node is our unit of computation (known as eLearning node) which can have purely service-oriented architecture, agent-oriented architecture or mixed architecture. Three eLeaerning Nodes have been implemented in order to demonstrate the vitality of the DeLC concept. The Mobile eLearning Node uses a three-level communication network, called InfoStations network, supporting mobile service provision. The services, displayed on this node, are to be aware of its context, gather required learning material and adapted to the learner request. This is supported trough a multi-layered hybrid (service- and agent-oriented) architecture whose kernel is implemented as middleware. For testing of the middleware a simulation environment has been developed. In addition, the DeLC development approach is proposed. The second eLearning node has been implemented as Education Portal. The architecture of this node is poorly service-oriented and it adopts a client-server architecture. In the education portal, there are incorporated education services and system services, called engines. The electronic content is kept in Digital Libraries. Furthermore, in order to facilitate content creators in DeLC, the environment Selbo2 was developed. The environment allows for creating new content, editing available content, as well as generating educational units out of preexisting standardized elements. In the last two years, the portal is used in actual education at the Faculty of Mathematics and Informatics, University of Plovdiv. The third eLearning node, known as Agent Village, exhibits a purely agent-oriented architecture. The purpose of this node is to provide intelligent assistance to the services deployed on the Education Pportal. Currently, two kinds of assistants are implemented in the node - eTesting Assistants and Refactoring eLearning Environment (ReLE). A more complex architecture, known as Education Cluster, is presented in this thesis as well. The Education Cluster incorporates two eLearning nodes, namely the Education Portal and the Agent Village. eLearning services and intelligent agents interact in the cluster

An Evolutionary Upgrade of Cognitive Load Theory: Using the Human Motor System and Collaboration to Support the Learning of Complex Cognitive Tasks

Cognitive load theory is intended to provide instructional strategies derived from experimental, cognitive load effects. Each effect is based on our knowledge of human cognitive architecture, primarily the limited capacity and duration of a human working memory. These limitations are ameliorated by changes in long-term memory associated with learning. Initially, cognitive load theory's view of human cognitive architecture was assumed to apply to all categories of information. Based on Geary's (Educational Psychologist 43, 179-195 2008; 2011) evolutionary account of educational psychology, this interpretation of human cognitive architecture requires amendment. Working memory limitations may be critical only when acquiring novel information based on culturally important knowledge that we have not specifically evolved to acquire. Cultural knowledge is known as biologically secondary information. Working memory limitations may have reduced significance when acquiring novel