Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Eugenijus Kurilovas"'
Publikováno v:
Informatics in Education, Vol 18, Iss 2, Pp 345-358 (2019)
The paper aims to present application of Educational Data Mining and particularly Case-Based Reasoning (CBR) for students profiling and further to design a personalised intelligent learning system. The main aim here is to develop a recommender system
Externí odkaz:
https://doaj.org/article/578d4c280c484e06b06171c5895fc96e
Publikováno v:
Informatics in Education, Vol 16, Iss 1, Pp 61-82 (2017)
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, the results of systematic literature review on Linked Data, RDF "subj
Externí odkaz:
https://doaj.org/article/f889bf2c1c3945eb840880a85d5b1e8e
Publikováno v:
Informacijos Mokslai, Vol 79 (2018)
Straipsnyje yra pristatyta mokymosi personalizavimo pagal besimokančiųjų poreikius metodologija, kurioje yra naudojamos intelektinė daugiaagentė mokymosi sistema ir duomenų tyryba. Mokymosi personalizavimas yra įgyvendinamas remiantis keliais
Externí odkaz:
https://doaj.org/article/e2aca0ad7524476f952b22a6aa531097
Publikováno v:
Informacijos Mokslai, Vol 79 (2018)
Straipsnio tikslas yra pristatyti personalizuotų mokomųjų modulių / scenarijų priimtinumo, naudojamumo ir tinkamumo konkretiems besimokantiesiems metodologiją (t. y. modelį ir metodą). Mokomaisiais moduliais / scenarijais čia vadinamos mokom
Externí odkaz:
https://doaj.org/article/41daed8af9b6427dae9b825f78156674
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 58, Iss B (2017)
The paper aims to present a methodology (i.e. model and method) to evaluate suitability, acceptance and use of personalised learning scenarios. High-quality learning scenarios should consist of the learning components (i.e. learning objects, learning
Externí odkaz:
https://doaj.org/article/48c73414e377476fb6ca8951e951faba
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 58, Iss B (2017)
The paper aims to analyse application trends of intelligent multi-agent systems to personalise learning. First of all, systematic literature review was performed. Based on the systematic review analysis, the main trends on applying multi-agent system
Externí odkaz:
https://doaj.org/article/0222ad551e624bd38b18bc77daab45cf
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 58, Iss B (2017)
The paper aims to suggest a method of using artificial neural for learning personalisation. Learning personalisation consists form learning style identification then linking it to learning activities and objects which correspond to learning style. Bu
Externí odkaz:
https://doaj.org/article/125307a7c77740839c32f4f57380d3ff
Publikováno v:
Informatics in Education, Vol 13, Iss 1, Pp 17-31 (2014)
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 method takes into account student's learning preferences for content and commu
Externí odkaz:
https://doaj.org/article/ce29825ab6604c9993cec0396e5411be
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 57, Iss B (2016)
The paper is aimed to analyse the problem of personalisation of Virtual Reality/Augmented Reality/Mixed Reality (VR/AR/MR) based learning systems. Research results are two-fold: first, the results of systematic literature review are presented, and, s
Externí odkaz:
https://doaj.org/article/ec6583375e21487db8f984238b4ab673
Autor:
Julija Kurilova, Eugenijus Kurilovas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 57, Iss B (2016)
In the paper, learning scenarios (units) quality evaluation and optimisation problems are analysed. Learning scenarios optimisation is referred here as its personalisation according to learners needs. In the paper, comparative analysis of two popular
Externí odkaz:
https://doaj.org/article/a478de9e68f84ecab75c803992162b1c