Personalised e-learning through an educational virtual reality game using Web services

Katsionis, George; Virvou, Maria

doi:10.1007/s11042-007-0155-2

Cited by 31 publications

(16 citation statements)

References 15 publications

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“…Content analysis of the final pool of papers ( 115) is based on a text-mining technique to find the latest topics in the literature review. This type of technique is widely used to reveal Macfadyen and Dawson (2012) Experience, e-learning and engagement Survey-panel Tak acs (2011) Experience and telepresence Case study Alterman et al (2011) Experience and e-learning Qualitative approach Packman and Meredith (2011) Experience and e-learning Qualitative approach Cheng and Wang (2011) Experience and e-learning Case study Guttentag (2010) Experience, e-learning and authenticity Case study Cheong (2010) Experience and collaborative learning Survey Gustavsson et al (2009) Experience and e-learning Case study Shuhuai et al (2009) Experience and virtual environment Case study Katsionis and Virvou (2008) Experience, e-learning, emotions and gamification Case study Holobar et al (2008) Experience and e-learning Case study Bouras and Tsiatsos (2006) Experience and e-learning Case study Saxena (2006) Experience and e-learning Case study Mikropoulos et al (2003) Experience, virtual environments, presence and interaction Survey Parkinson and Hudson (2002) Experience and interactive learning environments…”

Section: Content Analysis and Clusteringmentioning

confidence: 99%

Virtual reality and gamification in marketing higher education: a review and research agenda

Loureiro

Bilro

Angelino

2020

SJME

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Purpose The purpose of this paper is to review studies on the use of virtual reality (VR) and gamification to engage students in higher education for marketing issues to identify the research topics, the research gaps and to prepare a future research agenda. Design/methodology/approach A literature review is performed based on two search terms applied to Web of Science, resulting in a final pool of 115 articles. A text-mining approach is used to conduct a full-text analysis of papers related to VR and gamification in higher education. The authors also compare the salient characteristics presented in the articles. Findings From this analysis, five major research topics are found and analysed, namely, teaching methodologies and education, experience and motivation, student engagement, applied theories in VR and gamification. Based on this and following the theory concept characteristics methodology framework, the paper provides directions for future research. Originality/value There is no comprehensive review exploring the topics, theories, constructs and methods used in prior studies concerning VR and gamification applied to higher education services based on all the articles published in well-regarded academic journals. This review seeks to provide deeper insights, to help scholars contribute to the development of this research field.

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Section: Content Analysis and Clusteringmentioning

confidence: 99%

Virtual reality and gamification in marketing higher education: a review and research agenda

Loureiro

Bilro

Angelino

2020

SJME

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“…Similar to backup policies, scalability for repository-based solutions that contain terabytes of files is unfeasible unless expensive hardware is used. In the future it will be essential to establish more efficient ways for handling large amounts of unstructured data, considering that there are promising e-learning projects that are increasingly multimedia related (Katsionis and Virvou, 2008).…”

Section: Current Architecturementioning

confidence: 99%

Enhancing the management of unstructured data in e-learning systems using MongoDB

Stevic

Milosavljević

Perišić

2015

Program

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Purpose -Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach -Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability.Findings -This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data.Research limitations/implications -The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning solutions. Practical implications -This research enables an efficient file handling not only for e-learning systems, but also for any system where file handling is needed. Originality/value -It is expected that future single/joint e-learning initiatives will need to manage huge amount of files and they will require effective file handling solution. The new architecture solution for file handling is offered in this paper: it is different from current solutions because it is less expensive, more efficient, more flexible and requires less administrative and development effort for building and maintaining.

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“…Another computer-based program on second language acquisition is Diglot Reader, which was developed by (Christensen et al 2007) and is used in a way that students may read a native language text with second language vocabulary and grammatical structures increasingly embedded within the text. VIRGE, developed by (Katsionis & Virvou 2008), works as an adventure virtual reality game but it has educational content as well and supports personalized learning based on a student modeling component.…”

Section: Related Workmentioning

confidence: 99%

Comulang: towards a collaborative e-learning system that supports student group modeling

2013

Self Cite

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This paper describes an e-learning system that is expected to further enhance the educational process in computer-based tutoring systems by incorporating collaboration between students and work in groups. The resulting system is called “Comulang” while as a test bed for its effectiveness a multiple language learning system is used. Collaboration is supported by a user modeling module that is responsible for the initial creation of student clusters, where, as a next step, working groups of students are created. A machine learning clustering algorithm works towards group formatting, so that co-operations between students from different clusters are attained. One of the resulting system’s basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.

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Personalised e-learning through an educational virtual reality game using Web services

Cited by 31 publications

References 15 publications

Virtual reality and gamification in marketing higher education: a review and research agenda

Virtual reality and gamification in marketing higher education: a review and research agenda

Enhancing the management of unstructured data in e-learning systems using MongoDB

Comulang: towards a collaborative e-learning system that supports student group modeling

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