Work-in-progress—ARETE - An Interactive Educational System using Augmented Reality

Masneri, Stefano; Dominguez, Ana; Wild, Fridolin; Pronk, Jeroen; Heintz, Matthias; Tiede, Jennifer; Nistor, Adina-Loredana; Chiazzese, Giuseppe; Mangina, Eleni

doi:10.23919/ilrn47897.2020.9155186

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…The next most common method the studies used was prediction analysis (18) which included objectives such as prediction of students' grade value, detection of predictor factors and dropping out estimation. Fewer studies were based on process mining (9) and clustering (5) and targeted on objectives such as students' behaviour and learning strategy detection and performance predictors estimation for detecting students at risk. Even less on social network analytics (3) and text mining (1).…”

Section: Discussionmentioning

confidence: 99%

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Review of Learning Analytics and Educational Data Mining Applications

Mangina¹,

Psyrra²

2021

EDULEARN Proceedings

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During the past decade the educational data research is rapidly growing. The use of technology in education has created the need to store and manage large amounts of data that come from various sources and have different formats. Educational data can be used to benefit educational systems and the science of learning. The project "Augmented Reality Interactive Educational System" (ARETE) funded by EU Programme Horizon 2020 aims to support interactive technologies for the provision of Augmented Reality (AR) content through an open source learning management system and authoring toolkit for the broader community of users. The utilisation of educational data is vital for the efficient data management and the two relevant areas of focus in review that focus on the use of educational data to support education are the Educational Data Mining (EDM) and Learning Analytics (LA). Several studies have been published recently focusing on applications using educational data, revealing that educational data analytics is an evolving science, where researchers have explored the various use cases of applying data mining and analytics techniques on the educational domain. However, there is still a need for exploring the main objectives of applying EDM and LA techniques and defining the specific problems in the educational domain they try to resolve. The aim of this analysis is to identify studies' objective trends that recent applications are trying to achieve and to identify potential research gaps. The possible correlation between the use of particular types of techniques used by the EDM/LA applications in relation to the goals they are trying to achieve is also being presented. This paper presents the review of EDM and LA empirical studies that have been published between 2016 to 2020. To gain insight into the trend direction of the different projects, the publications are clustered based on the methods applied and the purposes those studies tried to accomplish. Studies that applied more than one technique were assigned to the method groups more than once. This paper will provide an association table of EDM/LA techniques and the objectives for which they have been used, and will serve as a model for other researchers in order to choose the method for their own specific goals. Finally, the goals that recent EDM and LA applications are approaching will be presented, which can be a source of inspiration for further research questions, by providing information on areas of educational goals that remain unexplored or have not received much attention so far.

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Section: Discussionmentioning

confidence: 99%

“…For the needs of the ARETE H2020 project [5] [6], we have reviewed the methods and techniques that EDM and LA utilised for consideration of the future development of the ARETE platform.…”

Section: Introductionmentioning

confidence: 99%

Review of Learning Analytics and Educational Data Mining Applications

Mangina¹,

Psyrra²

2021

EDULEARN Proceedings

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“…Through AR applications, learning becomes dynamic and user centered. All of the previous studies in AR are implemented in the context of the classroom environment but it has not been explored in the personal devices outside the classroom with an organized system like ARETE [99]. The shift of the current learning scenario has created a need of implementing new types of learning pedagogies using collaboration factor as mentioned in section 4.8.…”

Section: F Empowering Remote Learning In Armentioning

confidence: 99%

Current Challenges and Future Research Directions in Augmented Reality for Education

Iqbal¹,

Mangina²,

Campbell³

2021

Preprint

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Innovation in formal and practical learning is an accepted progression and its adoption in learning methodologies is a sign that a respective society is open to new technologies, ideas, and, thus, to advancement. The latest innovation in teaching is the use of Augmented Reality. Applications using this technology have been deployed successfully in STEM(Science, Technology, Engineering, and Mathematics) education for delivering the practical and creative parts of the education. Since Augmented Reality technology has already a large volume of published studies about education that reports advantages, limitations, effectiveness, and challenges of AR in education, classifying these projects will allow for a review of the success of Augmented Reality integration in the different educational settings and discover current challenges and future research areas.<div>The main findings of this paper are the generation of a detailed taxonomy of the current literature which outlines the current challenges, the use of this taxonomy to identify future research areas, and finally to report on the development of two case studies that can highlight the first steps need to address these research areas. The result of this research ultimately is to detail the research gap that is needed to be filled to facilitate real-time touchless hand interaction, kinesthetic learning, machine learning agents with a remote learning pedagogy.</div>

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“…Therefore, we propose a 2-hour workshop organized in three sessions. In the first session the workshop organizers will at first present the ARETE EU project with its goals, use cases and pilots [5]. The second session will be focused on the work on authoring tools developed in the context of the project, explaining the functionalities provided by the core libraries and showing their use in different multi-user collaborative scenarios.…”

Section: Workhop Description and Session Planmentioning

confidence: 99%

Workshop - Authoring Tools for XR Applications in Education

Masneri

Dominguez

Mangina

2021

2021 7th International Conference of the Immersive Learning Research Network (iLRN)

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In the last few years there has been a steady release of XR-based tools to enhance the learning experience. Until now the focus of researchers has been on the creation of content, but there is currently a lack of tools facilitating the creation of XR experiences for education. The objective of this workshop is to present the work fulfilled in the H2020 ARETE project (www.areteproject.eu) and to stimulate the discussion around what has been done and what is still left to do to enable researchers and enterprises to easily create XR experiences.

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Work-in-progress—ARETE - An Interactive Educational System using Augmented Reality

Cited by 9 publications

References 6 publications

Review of Learning Analytics and Educational Data Mining Applications

Review of Learning Analytics and Educational Data Mining Applications

Current Challenges and Future Research Directions in Augmented Reality for Education

Workshop - Authoring Tools for XR Applications in Education

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