Application of resource description framework to personalise learning: Systematic review and methodology

T Jevsikova, A Berniukevičius, E Kurilovas - Informatics in Education, 2017 - ceeol.com
The paper is aimed to present a methodology of learning personalisation based on applying
Resource Description Framework (RDF) standard model. Research results are two-fold: first …

Enhancing e-learning systems with personalized recommendation based on collaborative tagging techniques

A Klašnja-Milićević, M Ivanović, B Vesin, Z Budimac - Applied Intelligence, 2018 - Springer
Personalization of the e-learning systems according to the learner's needs and knowledge
level presents the key element in a learning process. E-learning systems with personalized …

Evaluation of quality and personalisation of VR/AR/MR learning systems

E Kurilovas - Behaviour & Information Technology, 2016 - Taylor & Francis
The paper aims to analyse the problem of quality evaluation and personalisation of virtual
reality/augmented reality/mixed reality (VR/AR/MR). First of all, systematic review of relevant …

Iterative user and expert feedback in the design of an educational virtual reality biology game

A Wang, M Thompson, D Roy, K Pan… - Interactive Learning …, 2022 - Taylor & Francis
This study focuses on an educational game titled Cellverse, a two-player cross-platform VR
project intended to teach high school biology students about cell structure and function. In …

Education 3.0 system to enhance twenty-first century skills for higher education learners in Thailand

N Songkram, S Chootongchai, J Khlaisang… - Interactive Learning …, 2021 - Taylor & Francis
This paper proposes an education 3.0 system called Mutual Learning Community (MLCOM)
by combining the subsystems of the Virtual based Learning Classroom (VLC), Mobile based …

On using learning analytics to personalise learning in virtual learning environments

J Mamcenko, E Kurilovas - European conference on e …, 2017 - search.proquest.com
The paper aims to analyse application of learning analytics (LA) to support learning
personalisation in virtual learning environments, namely Moodle. In the paper, first of all …

On suitability index to create optimal personalised learning packages

E Kurilovas, J Kurilova, T Andruskevic - Information and Software …, 2016 - Springer
The paper aims to present a novel probabilistic method to creating personalised learning
packages. The method is based on learning components' suitability to students needs …

[HTML][HTML] 融入学习者模型在线学习资源协同过滤推荐方法

刘芳, 田枫, 李欣, 林琳 - 智能系统学报, 2021 - html.rhhz.net
刘芳, 田枫, 李欣, 等. 融入学习者模型在线学习资源协同过滤推荐方法[J]. 智能系统学报, 2021,
15 (6): 1117-1125. DOI: 10.11992/tis. 202009005.LIU Fang, TIAN Feng, LI Xin, et al. A …

Evaluating the quality of student-generated content in learnersourcing: A large language model based approach

K Li, C Qian, X Yang - Education and Information Technologies, 2024 - Springer
In learnersoucing, automatic evaluation of student-generated content (SGC) is significant as
it streamlines the evaluation process, provides timely feedback, and enhances the objectivity …

On recommending Web 2.0 tools to personalise learning

A Juškevičienė, J Kurilov - 2014 - ceeol.com
The paper aims to present research results on using Web 2.0 tools for learning
personalisation. In the work, personalised Web 2.0 tools selection method is presented. This …