A group learning management method for intelligent tutoring systems

In this paper we propose a group management specification and execution method that seeks a compromise between simple course design and complex adaptive group interaction. This is achieved through an authoring method that proposes predefined scenarios to the author. These scenarios already include complex learning interaction protocols in which student and group models use and update are automatically included. The method adopts ontologies to represent domain and student models, and object Petri nets to specify the group interaction protocols. During execution, the method is supported by a multi-agent architecture

The Metadata Education and Research Information Commons (MERIC): A Collaborative Teaching and Research Initiative

The networked environment forced a sea change in Library and Information Science (LIS) education. Most LIS programs offer a mixed-mode of instruction that integrates online learning materials with more traditional classroom pedagogical methods and faculty are now responsible for developing content and digital learning objects. The teaching commons in a networked environment is one way to share, modify and repurpose learning objects while reducing the costs to educational institutions of developing course materials totally inhouse. It also provides a venue for sharing ideas, practices, and expertise in order to provide the best learning experience for students. Because metadata education has been impacted by rapid changes and metadata research is interdisciplinary and diffuse, the Metadata Education and Research Information Commons (MERIC) initiative aims to provide a virtual environment for sharing and collaboration within the extensive metadata community. This paper describes the development of MERIC from its origin as a simple clearinghouse proof-of-concept project to a service-oriented teaching and research commons prototype. The problems of enablers and barriers to participation and collaboration are discussed and the need for specific community building research is cited as critical for the success of MERIC within a broad metadata community

Collaborative hybrid agent provision of learner needs using ontology based semantic technology

© Springer International Publishing AG 2017. This paper describes the use of Intelligent Agents and Ontologies to implement knowledge navigation and learner choice when interacting with complex information locations. The paper is in two parts: the first looks at how Agent Based Semantic Technology can be used to give users a more personalised experience as an individual. The paper then looks to generalise this technology to allow users to work with agents in hybrid group scenarios. In the context of University Learners, the paper outlines how we employ an Ontology of Student Characteristics to personalise information retrieval specifically suited to an individual’s needs. Choice is not a simple “show me your hand and make me a match” but a deliberative artificial intelligence (AI) that uses an ontologically informed agent society to consider the weighted solution paths before choosing the appropriate best. The aim is to enrich the student experience and significantly re-route the student’s journey. The paper uses knowledge-level interoperation of agents to personalise the learning space of students and deliver to them the information and knowledge to suite them best. The aim is to personalise their learning in the presentation/format that is most appropriate for their needs. The paper then generalises this Semantic Technology Framework using shared vocabulary libraries that enable individuals to work in groups with other agents, which might be other people or actually be AIs. The task they undertake is a formal assessment but the interaction mode is one of informal collaboration. Pedagogically this addresses issues of ensuring fairness between students since we can ensure each has the same experience (as provided by the same set of Agents) as each other and an individual mark may be gained. This is achieved by forming a hybrid group of learner and AI Software Agents. Different agent architectures are discussed and a worked example presented. The work here thus aims at fulfilling the student’s needs both in the context of matching their needs but also in allowing them to work in an Agent Based Synthetic Group. This in turn opens us new areas of potential collaborative technology

A Network and Repository for Online Laboratory based on Ontology

Our propose is to build a network of virtual laboratories and also use it as a global repository of online laboratory’s and experiences. This set of virtual and online laboratories can be “stored” in an “virtual closet”, and also the system will allow us to build new experiences and online laboratories, and store them is this “virtual closet”. With the drawing of this new standard we pretend define methods for storing and retrieving learning objects for remote laboratories. The objective of this standard is also define methods for linking learning objects to design and implement smart learning environments for remote online laboratories. The objects defined by this standard are, for example, interfaces for devices connected to user computers over computers networks and the devices themselves. They are also learning scenarios or collaboration tools for communications necessary to conduct an activity of practical online laboratory work, they will allow to design and implement mechanisms that make smart learning environment formed by the ad hoc aggregation of learning objects taking always into account the pedagogical context for their use. This will allow to easy design and implement the pedagogically driven remote laboratory environment and experiments as also is learning environments. The experiences and laboratories are build using the parts and separate components that we have in a separate “virtual closet” with parts, components, and already build experiences. To build this complex network we need to find a system that supports effectively this structure. This probably will be a enormous database of v-labs and independent elements, where will be possible sometimes to “recycle” some of the elements. For this structure we propose an Ontology because it allows to “re-use” the same element several times in many experiences, and provide a very detailed description of each kind of element through is classes and sub-classes.Com o apoio RAADRI

A Network and Repository for Online Laboratory based on Ontology

Our propose is to build a network of virtual laboratories and also use it as a global repository of online laboratory’s and experiences. This set of virtual and online laboratories can be “stored” in an “virtual closet”, and also the system will allow us to build new experiences and online laboratories, and store them is this “virtual closet”. With the drawing of this new standard we pretend define methods for storing and retrieving learning objects for remote laboratories. The objective of this standard is also define methods for linking learning objects to design and implement smart learning environments for remote online laboratories. The objects defined by this standard are, for example, interfaces for devices connected to user computers over computers networks and the devices themselves. They are also learning scenarios or collaboration tools for communications necessary to conduct an activity of practical online laboratory work, they will allow to design and implement mechanisms that make smart learning environment formed by the ad hoc aggregation of learning objects taking always into account the pedagogical context for their use. This will allow to easy design and implement the pedagogically driven remote laboratory environment and experiments as also is learning environments. The experiences and laboratories are build using the parts and separate components that we have in a separate “virtual closet” with parts, components, and already build experiences. To build this complex network we need to find a system that supports effectively this structure. This probably will be a enormous database of v-labs and independent elements, where will be possible sometimes to “recycle” some of the elements. For this structure we propose an Ontology because it allows to “re-use” the same element several times in many experiences, and provide a very detailed description of each kind of element through is classes and sub-classes.Com o apoio RAADRI

Collaboration in the Semantic Grid: a Basis for e-Learning

The CoAKTinG project aims to advance the state of the art in collaborative mediated spaces for the Semantic Grid. This paper presents an overview of the hypertext and knowledge based tools which have been deployed to augment existing collaborative environments, and the ontology which is used to exchange structure, promote enhanced process tracking, and aid navigation of resources before, after, and while a collaboration occurs. While the primary focus of the project has been supporting e-Science, this paper also explores the similarities and application of CoAKTinG technologies as part of a human-centred design approach to e-Learning