A Foreign Language Learning Application using Mobile Augmented Reality

Diță, Florentin Alexandru

doi:10.12948/issn14531305/20.4.2016.07

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…TeachAR was developed using the Unity game with the ARToolkit for Unity plugin and is also available in a non-AR version which works with mouse clicks. Dita (2016) proposed an AR app that uses the camera of the mobile device and text recognition to identify written texts. Krystalli et al (2020) used Blippar to develop an AR app based on augmented Greek buildings and spaces of cultural interest for the improvement of speaking skills and the pronunciation of students in the French language.…”

Section: Examples Of Ar Applicationsmentioning

confidence: 99%

Augmented and Mixed Reality in Language Learning

Panagiotidis

2021

European Journal of Education

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The use of Extended Reality technologies in education, and especially in language learning, has attracted the interest of language experts for the last 15 years. However, the recent technological progress as well as the simultaneous dramatic reduction of the cost of the necessary hardware has led to an impressive growth of the XR market, creating, thus, new perspectives concerning the adoption of XR technologies in education. The educational XR market is also growing very fast, not only thanks to the offer of innovative applications, but also due to technological developments in network technologies. Advances in wireless and cellular networks can make XR experiences more immersive and more accessible to local and remote users. This paper aims to present the current developments in the field of utilization of Augmented (AR) and Mixed Reality (MR) technologies in language education and to explore their future perspectives. Towards this end, AR/MR technologies, the theoretical bases of their use in language education, as well as the available for each technology hardware and software solutions are presented in more detail. Examples of AR/MR technologies in language learning applications, as well as the conclusions drawn from the literature review concerning the benefits and limitations AR/MR applications in language learning will also be presented. Finally, market data and future research directions will be discussed, in order to identify the perspectives of these technologies in language learning.

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Section: Examples Of Ar Applicationsmentioning

confidence: 99%

Augmented and Mixed Reality in Language Learning

Panagiotidis

2021

European Journal of Education

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“…[8] proposes applying techniques that use web mining to extract features of the candidate personality depending on their social media activity in microblogging platforms, like Facebook, Instagram and Twitter. Other studies, like [9] and [10] treat the subject from a different perspective, presenting the ontology researches carried out in the e-Recruitment domain. As stated in [11] "An ontology is an explicit, formal specification of a shared conceptualization" (p. 95).…”

Section: Related Workmentioning

confidence: 99%

“…The job seeker is equivalent with a set of skill statements and the job advertisement with a set of requirements (which are divided in must-have and nice-to-have), all represented using Description Logics. In [10], a reference ontology for human resource management is proposed, which is used to describe the CV of a job seeker or the details of a job offer, based on the existing HR standards (NACE, FOET etc.). This reference ontology consists of thirteen modular ontologies: Competence, Compensation, Driving License, Economic Activity, Education, Geography, Job Offer, Job Seeker, Labour Regulatory, Language, Occupation, Skill and Time.…”

Section: Related Workmentioning

confidence: 99%

A Prototype for an e-Recruitment Platform using Semantic Web Technologies

Enachescu¹

2016

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Nowadays, the continuous demand for qualified candidates in the IT domain has empowered the use of e-Recruitment tools, which are becoming more and more exploited at the expense of the traditional methods. This study focuses on the use of ontologies in developing a job recommender system, which helps to automatically match job offers with the candidates' profiles and in reverse. In order to design the IT e-Recruitment ontology we have gathered a list with all the features a platform of this kind should provide, for both the job seeker and the recruiter. Based on the selected requirements, we developed the ontology that offers all the necessary means to implement such a job recommender system, designed to connect people with job opportunities and backwards. The second part of the paper proposes a Java based architecture to implement the e-Recruitment platform. To convert the users' input into RDF description, RDF2Go and RDFBeans APIs are employed. Storing and retrieving the data make use of the Jena Framework, which provides dedicated interfaces for accessing the Fuseki2 Server over HTTP. Finally, the prototype of the e-Recruitment platform is presented, together with its core functionalities.

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