dc.contributor.author | Kurilov, Jevgenij | |
dc.contributor.author | Žilinskienė, Inga | |
dc.contributor.author | Dagienė, Valentina | |
dc.date.accessioned | 2023-09-18T20:15:34Z | |
dc.date.available | 2023-09-18T20:15:34Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 0747-5632 | |
dc.identifier.other | (BIS)VUB02-000049697 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/148306 | |
dc.description.abstract | The paper presents a new approach for recommending suitable learning paths for different learners groups. Selection of the learning path is considered as recommendations to choosing and combining the sequences of learning objects (LOs) according to learners’ preferences. Learning path can be selected by applying artificial intelligence techniques, e.g. a swarm intelligence model. If we modify and/or change some LOs in the learning path, we should rearrange the alignment of new and old LOs and reallocate pheromones to achieve effective learning recommendations. To solve this problem, a new method based on the ant colony optimisation algorithm and adaptation of the solution to the changing optimum is proposed. A simulation process with a dynamic change of learning paths when new LOs are inserted was chosen to verify the method proposed. The paper contributes with the following new developments: (1) an approach of dynamic learning paths selection based on swarm intelligence, and (2) a modified ant colony optimisation algorithm for learning paths selection. The elaborated approach effectively assist learners by helping them to reach most suitable LOs according to their preferences, and tutors – by helping them to monitor, refine, and improve e-learning modules and courses according to the learners’ behaviour. | eng |
dc.format | PDF | |
dc.format.extent | p. 550-557 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Current Contents | |
dc.relation.isreferencedby | PubMed | |
dc.relation.isreferencedby | Compendex | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | ScienceDirect | |
dc.source.uri | https://doi.org/10.1016/j.chb.2013.06.036 | |
dc.subject | IK01 - Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems | |
dc.title | Recommending suitable learning scenarios according to learners' preferences: an improved swarm based approach | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 37 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus universitetas Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vilniaus universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | N 009 - Informatika / Computer science | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.lt | Mokymosi ir mokymo metodai | |
dc.subject.lt | Besimokančiųjų tobulinimas | |
dc.subject.lt | Mokomieji objektai | |
dc.subject.lt | Kolektyvinė intelektika | |
dc.subject.lt | Feromonai | |
dc.subject.lt | Skruzdžių kolonijos optimizavimas | |
dc.subject.lt | Mokymosi stiliai | |
dc.subject.lt | E-mokymas(is) | |
dc.subject.lt | Skruzdžių kolonijos optimizavimas, mokymosi stiliai, el. mokymas | |
dc.subject.en | ICT's for human capital | |
dc.subject.en | Learning paths | |
dc.subject.en | Learners' behaviour | |
dc.subject.en | Learning objects | |
dc.subject.en | Swarm intelligence | |
dc.subject.en | Ant colony optimisation algorithm | |
dcterms.sourcetitle | Computers in human behavior | |
dc.description.volume | vol. 30 | |
dc.publisher.name | Pergamon | |
dc.publisher.city | Kidlington | |
dc.identifier.doi | MRU02-000016431 | |
dc.identifier.doi | 10.1016/j.chb.2013.06.036 | |
dc.identifier.elaba | 4865257 | |