Ontology-based architecture with recommendation strategy in java tutoring system

Vesin, Boban; Ivanović, Mirjana; Klašnja-Milićević, Aleksandra; Budimac, Zoran

doi:10.2298/csis111231001v

Cited by 42 publications

(25 citation statements)

References 12 publications

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“…For example, Shen and Shen (2005) and Vesin et al (2013) described a mechanism focused on how to organize the learning materials based on domain ontology, which can guide the learning resources recommendation according to learning status. A multi-attribute assessment method proposed in Lu (2004) justifies a learner's need and deploys a fuzzy matching method to find suitable learning contents to best perform each learner need.…”

Section: The Most Important Requirements and Challenges For Designingmentioning

confidence: 99%

Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

2015

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With the development of sophisticated e-learning environments, personalization is becoming an important feature in e-learning systems due to the differences in background, goals, capabilities and personalities of the large numbers of learners. Personalization can achieve using different type of recommendation techniques. This paper presents an overview of the most important requirements and challenges for designing a recommender system in e-learning environments. The aim of this paper is to present the various limitations of the current generation of recommendation techniques and possible extensions with model for tagging activities and tag-based recommender systems, which can apply to e-learning environments in order to provide better recommendation capabilities.

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Section: The Most Important Requirements and Challenges For Designingmentioning

confidence: 99%

Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

2015

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“…The MAL platform represents an attempt to build Moodle platform that supports personalized access to learning materials. Although the system architecture is gained from similar LMSs and learning platforms supported by ontologies , our approach differs regarding several aspects. The proposed approach is based on implementing D2RQ server and Jena framework.…”

Section: Discussionmentioning

confidence: 99%

A semantic approach to enhance moodle with personalization

Perišić

Milovanović

Kazi

2018

Comp Applic In Engineering

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The purpose of this paper is to present a framework for an adaptive mechanism implemented in Moodle in order to improve learning outcomes and students' satisfaction with the learning process. The proposed mechanism adapts the learning content within the course according to students' characteristics expressed by their learning style. In our study, student's learning style is dynamically determined by monitoring students’ actions and activities during the learning process, and detecting patterns of behavior that correspond to specific learning style. Semantic web technologies are in the background of the entire adaptive system. In order to examine the effectiveness of the proposed model and students' feedback, an evaluation study was conducted on two groups of students. Students from the control group had access to standard Moodle course, while students from experimental group had access to personalized learning content. The results indicated that students' performance was improved by using the proposed framework, while the student's feedback from regarding its usefulness was positive.

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“…In terms of domain ontology (see, e.g. [VIK13]), the graphs (in a narrow sense) can be seen as ontology models to model and understand a particular domain (in our case CS e-learning based on using robots).…”

Section: Discussion and Evaluation Of The Approachmentioning

confidence: 99%

Smart Learning Objects for Smart Education in Computer Science

Štuikys

2015

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Ontology-based architecture with recommendation strategy in java tutoring system

Cited by 42 publications

References 12 publications

Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

A semantic approach to enhance moodle with personalization

Smart Learning Objects for Smart Education in Computer Science

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