Ontology-Based E-Learning Personalisation For Disabled Students in Higher Education

Nganji, Julius T.; Brayshaw, Mike; Tompsett, Brian C.

doi:10.11120/ital.2011.10010001

Cited by 27 publications

(19 citation statements)

References 20 publications

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“… Monitor student behavior to explore the propose e-learning system. [4]  Make a model to determine the unambiguous learning process and partial implementation of the learning process [12]  The study of the development of e-learning systems that can meet the needs of students with special needs based ontology [13]  Allows users to browse educational video sources that are linked semantically with enhanced web information from various online sources. [14].…”

Section: E-learningmentioning

confidence: 99%

“…Based on the results of studies on the language used for ontology-based application development most use OWL (57%), while around (10%) use SWRL, at least (10%) use XML while around (5%) the author does not explain the language used. Tabel VI shows some language used to ontology application development [14], [4], [8], [ 6], [10], [11], [13], [18], [20], [23], [ Others [1], [12], [15], [16 ], [19], [21] 6 28.57%…”

Section: Rq3: Languagementioning

confidence: 99%

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Ontological Base Information System in Higher Education

Mulyawan,

Meyliana,

Hidayanto

et al. 2020

IJEAT

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Higher education institutions that produce various documents of scientific information on learning outcomes need tools that can accommodate stakeholders in utilizing various data that has been generated. The application of ontology-based systems can be very helpful in managing knowledge data based on keywords that are difficult to do with traditional methods. In this study aims to find out various studies that have been carried out about ontology base application of information systems in higher education institutions. The steps include the study of literature sourced from major databases such as Science Direct, IEEE Explore Digital Lirary, ACM Digital Library and others credible sources. Set through the selection criteria and data extraction this study from 195 papers, 21 papers were analyzed. The results of the analysis of this paper conclude that the information system that has been developed in Higher Education is an ontology application that is used to carry out various evaluation processes in education, e-learning, academic recommendations, information search, higher education companies, content analysis, knowledge management, documentation, education company, syllabus, knowledge management, and others. From this research it appears that various ontology-based applications have been developed for various information system needs in higher education, where the aim is to facilitate the search for various types of scientific documents and supporting documents precisely and quickly. For application development, the OWL language is the most widely used choice and the protege as a development tool is the main choice of researchers

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Section: E-learningmentioning

confidence: 99%

Section: Rq3: Languagementioning

confidence: 99%

Ontological Base Information System in Higher Education

Mulyawan,

Meyliana,

Hidayanto

et al. 2020

IJEAT

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“…The system should also be capable to dynamically updat e the representation of users performance taking into account the changing state of the leaners and the variations in information that is relevant to each user considering the fact that there is an additional task of matching such learners (user profiles) with solutions that best fits their particular learning needs/requirement (Nganji et al, 2013). According to (Huang and Shiu, 2012;Nganji et al, 2011) the key challenge in developing automated system for learning is to build effectively represented user profile, learning styles and goal to help support reasoning about each learner. Our proposed model is an automated learning system that is capable of detecting changing trends in learning behaviours and abilities of individual users.…”

Section: User-centric Design Model Towards Enhancement Of E-learning mentioning

confidence: 99%

Learning Pattern Discovery: Impact of User-Centric Design Approach towards Enhancement of E-learning Systems

Okoye¹

2018

EasyChair Preprints

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Purpose: The purpose of this paper is to propose a system for automated learning directed towards discovering and enhancement of the set of recurrent behaviours that can be found within a learning knowledge base and how th ey can be modelled to enable a more effective reasoning and tactical strategies for personalized adaptation and decision making. De sign/Methodology/Approach: T he paper introduces a methodology that makes use of information readily available within a learning process to explore and analyse the data to obtain inference knowledge capable of enhancing individual learning performance. The author valuated this approach through a user-centric design prototype and a model developed using Business Process Model Notations to corroborate the focus on improving performance of e-learning systems. Findings: The technological response to satisfying the increasing demand for richer and more precise depiction of e-learning applications capable of providing platforms for pattern exploration where users can browse for knowledge they might consider as interesting; is by providing a personalized adaptive learning system for the users. Adoption of such technological developments will spark a great success for many learners and needed to provide continuous intelligent recommendation, guidance and feedbacks on learner's performance especially in achieving the overall learning objective. Re search limitations/implications: T o meet the overall needs of intended users, there is requirement for e-learning systems to embody technologies that support learners in achieving their learning goals and this process don't happen automatically . Such process should take into account the fact that there is an additional task of matching these persons (user profiling) with solutions that best fits their particular learning needs (personalization). Practical implications: T he work in this paper considers the implication of the user centred design approach, and to this end, identify some of the common design problems with e-learning systems as means to revealing the implications for designers to stick to user-centric standards when developing automated learning systems in order to ensure learners satisfaction and reliability. O riginality/value: The approach and prototype described in this paper provides a more enhanced model for learning which is useful towards the development of e-learning systems that are more intelligent, predictive and robotically adaptive, which also aid in discovery of new learning patterns and enhancement of existing learning processes.

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“…In [4] was developed an ontology called ADOOLES (Abilities and Disabilities Ontology for Online Learning and Services) based on personalized online instruction for disabled students in higher education. This ontology was built on ADOLENA (Abilities and Disabilities Ontology for Enhancing Accessibility) that was developed by [8].…”

Section: Review Of Literaturementioning

confidence: 99%

“…According to [4], with the Semantic Web, there are now new opportunities to build flexible systems that will meet the needs of disabled students. Disability aware systems could be designed using Semantic Web technologies, leading to personalized environments that will enable disabled students to have relevant learning resources and to work independently, with little assistance from a tutor.…”

Section: Introductionmentioning

confidence: 99%

A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People

Rosales-Huamaní¹,

Sequera

Puente-Mansilla³

et al. 2015

JILSA

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In the world, 10% of the world population suffer with some type of disability, however the fast technological development can originate some barriers that these people have to face if they want to access to technology. This is particularly true in the case of visually impaired users, as they require special assistance when they use any computer system and also depend on the audio for navigation tasks. Therefore, this paper is focused on making a prototype of a semantic platform with web accessibility for blind people. We propose a method to interaction with user through voice commands, allowing the direct communication with the platform. The proposed platform will be implemented using Semantic Web tools, because we intend to facilitate the search and retrieval of information in a more efficient way and offer a personalized learning. Also, Google APIs (STT (Speech to Text) and TTS (Text to Speech)) and Raspberry Pi board will be integrated in a speech recognition module.

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Ontology-Based E-Learning Personalisation For Disabled Students in Higher Education

Cited by 27 publications

References 20 publications

Ontological Base Information System in Higher Education

Ontological Base Information System in Higher Education

Learning Pattern Discovery: Impact of User-Centric Design Approach towards Enhancement of E-learning Systems

A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People

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