Individual learning path building on knowledge-based approach

Lendyuk, Taras; Melnyk, Andriy; Rippa, Sergey; Golyash, Iryna; Shandruk, Serhiy

doi:10.1109/idaacs.2015.7341444

Cited by 16 publications

(2 citation statements)

References 5 publications

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“…Learning contents are mostly created statically by educators and learning objects are presented to the student in a certain order in relation to the content. Ordering learning objects for individual learning contributes to learning motivation [24]. Seki et al [25] optimised the learning requirement of the learning object, the learning background information and the curriculum information of the learning object with the genetic algorithm and realised the adaptive sequence of learning objects.…”

Section: Introductionmentioning

confidence: 99%

Automatic e-content sequencing system for personalised learning environments by using fuzzy AHP based on multiple intelligences

İnce

2021

Journal of Information Science

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The use of personalised learning environments (PLEs) and adaptive learning environments (ALEs) in education has increased during the COVID-2019 pandemic. Thus, the need of effective and high-quality PLEs and ALEs has emerged but developing such learning environments has some difficulties such as the need for a huge number of qualified e-contents. Generation of e-contents for these systems is a time-consuming and costly process. Moreover, presenting the same e-content for each student is not effective because each student can have different intelligence type. To overcome these problems, low cost, reusable and dynamic e-contents can be used for PLE and ALE systems. For this purpose, fuzzy analytic hierarchy process (FAHP) was used to provide sequenced e-contents for PLE and ALE systems. This proposed system was used in a case study to investigate its impact on learning process. The performance of the proposed study was compared with analytical hierarchy process (AHP), which is another multi-criteria decision-making (MCDM) method, also further statistical analyses were investigated. The results showed that 84.6% of students showed interest in the proposed system, so the FAHP method can be used for presenting personalised e-content effectively.

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Section: Introductionmentioning

confidence: 99%

Automatic e-content sequencing system for personalised learning environments by using fuzzy AHP based on multiple intelligences

İnce

2021

Journal of Information Science

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“…To deal with this issue, some researchers deal with the depth and breadth of the content to be taught while others are interested in techniques to structure domain knowledge. For instance many techniques are proposed to deal with the instructional design step: graph based presentation of content such as ontology [7] or Bayesian network structure [8], Visual Educational Modeling [9], Using SCORM(Shareable Content Object Reference Model) provided with most learning management systems to create and enable exchange of content [10].…”

Section: Approaches For Instructional Designmentioning

confidence: 99%

Automatic Composition of Instructional Units in Virtual Learning Environments

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Idrissi

Bennani

2018

Int. J. Emerg. Technol. Learn.

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Abstract-In this paper, a new approach for automatic composition of instructional units based on a new variant of Harmony Search Algorithm is proposed. The purpose is to solve curriculum sequencing issue by designing and arranging learning content in a suitable sequence. By suitable sequence we mean a learning sequence that fits learner level and presents the content in a way that conveys its structure to learner. Results show that the proposed approach is promising. For instance, individualized courseware plan are generated "on the spot" carefully considering both students characteristics and subjectmatter coherence.

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