K. Maycock
National College of Ireland, School of Computing, Faculty Member
Research Interests:
Research Interests:
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are constrained by the pedagogical preference of the author of the system and are always... more
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are constrained by the pedagogical preference of the author of the system and are always constrained to the system they were developed for and the domain content. This paper describes a generic framework for adaptive e-learning and evaluates an example implementation of learners engaging with the system against learners engaging within a traditional learning environment. A personal profile is described that can be used to automatically generate instructional content to suit the pedagogical preference and cognitive ability of a learner in real time. There exists two main components for the framework: Content Analyser and a Selection Model. The Content Analyser is used to automatically generate metadata to encapsulate cognitive resources within instructional content. Cognitive resources are resources that stimulate a cognitive response. The analyser is designed to bridge the perceived gap found within instructional repositories between inconsistent metadata created for instructional content and multiple metadata standards being used. All instructional content that is analysed is repackaged as Sharable Content Object Reference Model (SCORM) conforming content. The Selection Model uses an evolutionary algorithm to evolve instructional content to a Minimum Expected Learning Experience (MELE) to suit the cognitive ability and pedagogical preference of a learner. The MELE is an approximation of the expected exam result of a learner after a learning experience has taken place. Additionally the paper investigates the correlation between the cognitive ability and pedagogic preference of an author of instructional content and the cognitive resources used to generate instructional content. Furthermore the effectiveness of the learning component is investigated by analysing the learners increase in performance using the learning component against a typical classroom environment.
Research Interests:
This paper investigates strategies for building an adaptive profile to fully encapsulate a learners learning profile. It details how this profile will fit into the protocol for a Learning Management System (LMS) interacting with a user.... more
This paper investigates strategies for building an adaptive profile to fully encapsulate a learners learning profile. It details how this profile will fit into the protocol for a Learning Management System (LMS) interacting with a user. This paper provides an overview of Adaptive Hypermedia Systems (AHS) and details the restrictions on the possible learning experiences available. Bridging the gap between the Sharable Content Object Reference Model (SCORM) and the design approach of AHS the environmental contexts of the learning experience are discussed, in attempt to fully understand the potential pitfalls when creating the learning profile. The proposed extensions would enable support for a user to effectively create his or her unique learning experience.
Research Interests:
Research Interests:
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are constrained by the pedagogical preference of the author of the system and are always... more
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are constrained by the pedagogical preference of the author of the system and are always constrained to the system they were developed for and the domain content. Understanding the environmental constructs of a learning environment is critical to be able to consider adapting content to individual learners. A sample personal profile is described that can be used to automatically generate instructional content to suit the pedagogical preference and cognitive ability of a learner in real time, in an online learning environment. This paper introduces a Content Analyser (CA) that is used to automatically generate metadata to encapsulate cognitive resources within instructional content. The analyser is designed to bridge the perceived gap found within instructional repositories between inconsistent metadata created for instructional content and...
Research Interests:
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are con-strained by the pedagogical preference of the author of the system and are always... more
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are con-strained by the pedagogical preference of the author of the system and are always constrained to the system they were developed for and the domain content. This thesis presents a novel method for content adaptation. A personal profile is de-scribed that can be used to automatically generate instructional content to suit the pedagogical preference and cognitive ability of a learner in real time. This the-sis discusses the manifestation of measurable cognitive traits in an online learning environment and identifies cognitive resources, within instructional content, that can be used to stimulate these manifestations. There exists two main components for the learning component: Content Anal-yser and a Selection Model. The Content Analyser is used to automatically gen-erate metadata to encapsulate cognitive resources within instruction...
Research Interests:
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are constrained by the pedagogical preference of the author of the system and are always... more
Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques, however, are constrained by the pedagogical preference of the author of the system and are always constrained to the system they were developed for and the domain content. This thesis presents a novel method for content adaptation.A personal profile is described that can be used to automatically generate instructional content to suit the pedagogical preference and cognitive ability of a learner in real time. This thesis discusses the manifestation of measurable cognitive traits in an online learning environment and identifies cognitive resources, within instructional content, that can be used to stimulate these manifestations. There exists two main components for the learning component: Content Analyser and a Selection Model.The Content Analyser is used to automatically generate metadata to encapsulate cognitive resources within instructional cont...
Research Interests:
It is well documented that the traditional protocol for higher education doesn't suit each learner, the rhetorical method of lecturing while presupposing certain domain knowledge and experience is a very inefficient method of... more
It is well documented that the traditional protocol for higher education doesn't suit each learner, the rhetorical method of lecturing while presupposing certain domain knowledge and experience is a very inefficient method of imparting knowledge. An ideal solution is to have a one-to-one system, where an instructor generates mathemagenic content for each learner. Obviously this is not an ideal situation considering the high increase of learners into higher education. One solution is for higher education to partially traverse into an online learning environment with an element of suitable adaptive content. Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system. Most adaptive techniques however are constrained by the pedagogical preference of the author of the system and are always constrained to the system they were developed for and the domain content. This paper describes a personal profile that can be used to automaticall...
Research Interests:
Research Interests:
Research Interests:
Research Interests:
This paper investigates strategies for building an adaptive profile to fully encapsulate a learners learning profile. It details how this profile will fit into the protocol for a Learning Management System (LMS) interacting with a user.... more
This paper investigates strategies for building an adaptive profile to fully encapsulate a learners learning profile. It details how this profile will fit into the protocol for a Learning Management System (LMS) interacting with a user. This paper provides an overview of Adaptive Hypermedia Systems (AHS) and details the restrictions on the possible learning experiences available. Bridging the gap between the Sharable Content Object Reference Model (SCORM) and the design approach of AHS the environmental contexts of the learning experience are discussed, in attempt to fully understand the potential pitfalls when creating the learning profile. The proposed extensions would enable support for a user to effectively create his or her unique learning experience.