Experience-Based Recommendation for a Personalised e-Learning System
نویسنده
چکیده
A large amount of learning resources is available to learners on the Web. Users of these resources are often discouraged by the time spent in finding and assembling relevant resources to support their learning goals, and these users often face the information overload problem [4]. Personalisation within e-learning would allow the learning abilities and preferences of individual learners to be taken into account, thus enabling such systems to offer relevant resources to learners [7].
منابع مشابه
The Construction of a Personalised and Social U-Learning Environment for Third Level Education
This paper presents a ubiquitous learning (u-learning) system, the “Personalised Ubiquitous Learning Platform” (PULP), which integrates collaborative and social learning for the enhancement of the third level educational learning experience. University College Dublin (UCD) provides its students with managed learning environments (MLEs) and adaptive learning via UCD Horizon which enables student...
متن کاملInstructional Design, Implementation, and Evaluation of an E-Learning System, an Experience in Tehran University of Medical Sciences
Introduction: Designing e-learning systems based on the principles and prerequisites of teaching and learning theories requires a comprehensive and systematic approach to instructional design procedure. An experience of instructional design, implementation and evaluation of an e-learning system is represented in this study. Methods: In the present action research study, five steps of systemati...
متن کاملPersonalised e-learning system using learner profile ontology and sequential pattern mining-based recommendation
E –learning is a method of learning that is delivered via electronic technology. Most of the E – Learning systems do not consider the individual aspects of the students ignoring the various requirements of the learners. Personalization is widely used in various fields to provide users with more suitable and personalized service. Personalization of E – Learning system is a method of improving th...
متن کاملRecommendation in Personalised Peer-Learning Environments
Recommendation in Personalised Peer Learning Environments (RiPPLE) is an adaptive, crowdsourced, web-based, student-facing, open-source platform that employs exemplary techniques from the fields of machine learning, crowd-sourcing, learning analytics and recommender systems to provide personalised content and learning support at scale. RiPPLE presents students with a repository of tagged multip...
متن کاملEnhanced e-Learning Experience by Pushing the Limits of Semantic Web Technologies
We investigate a novel approach to e-Learning using Semantic Web technologies and aiming to optimise the learners’ experience incorporating pedagogical strategies into the learning process. The increasing availability of Semantic Web based educational resources and the establishment of open metadata standards like IEEE LOM pave the way for enhanced e-Learning systems that support personalised l...
متن کامل