Exploring the State of the Art in Adaptive Distributed Learning Environments

Çiloğlugil, Birol; İnceoğlu, Mustafa Murat

doi:10.1007/978-3-642-12165-4_44

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…The system's architecture allows the interoperability between learning management systems and interactive student simulations designed to improve both learning and assessment. Ciloglugil and Inceoglu discuss the personalization issues in e‐learning systems and the technologies that are used for designing and developing adaptive distributed learning environments. They present a number of technologies that can be used to achieve personalization in adaptive distributed learning environments, such as: (1) web services; (2) Semantic Web; and (3) AI techniques.…”

Section: Related Workmentioning

confidence: 99%

Athena: A hybrid management system for multi‐device educational content

Vásquez-Ramírez

Alor-Hernández

Rodríguez-González

2012

Comp Applic In Engineering

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Over the past few years, a number of software applications have been proposed to tackle the administration, documentation, tracking, and reporting of training programs and contents such as CMS (Content Management System) and LMS (Learning Management System). However, CMS focuses on the administration and development of websites, while LMS is mainly focused on the management of training through the use of learning objects. CMS and LMS have features that can be used in conjunction in order to create educational environments which enhance the teaching–learning process in classrooms. This article presents a hybrid management system called Athena for multi‐device educational content providing a set of Web‐based interfaces for managing, presenting, and generating PHP‐based applications with educational content, reducing both the time and effort invested during the development process of this type of software. Athena borrows the main features of both CMS and LMS in order to manage and reuse educational content. Athena allows the user to develop platform‐independent multi‐device educational software using existing educational content. Athena aims to provide new forms of accessibility to educational content, envisioning a better future for online education. To demonstrate Athena's capabilities, we have presented a case study for generating a multi‐device physics course to emphasize our contribution.© 2012 Wiley Periodicals, Inc. Comput Appl Eng Educ 22:750–763, 2014; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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Section: Related Workmentioning

confidence: 99%

Athena: A hybrid management system for multi‐device educational content

Vásquez-Ramírez

Alor-Hernández

Rodríguez-González

2012

Comp Applic In Engineering

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“…It is based on CBR, but aided by data mining to extract user patterns and knowledge adaptation from users' interaction history. Ciloglugil and Inceoglu (2010) think the use of one-size-fits-all approach is getting replaced by the adaptive, personalised perspective in recently developed learning environments. This study takes a look at the need of personalisation in e-learning systems and the adaptivity and distribution features of adaptive distributed learning environments.…”

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confidence: 99%

On Application of Case-Based Reasoning to Personalise Learning

Mamčenko¹,

Kurilovas²,

Krikun³

2019

Informatics in Education

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The paper aims to present application of Educational Data Mining and particularly Case-Based Reasoning (CBR) for students profiling and further to design a personalised intelligent learning system. The main aim here is to develop a recommender system which should help the learners to create learning units (scenarios) that are the most suitable for them. First of all, systematic literature review on application of CBR and its possible implementation to personalise learning was performed in the paper. After that, methodology on CBR application to personalise learning is presented where learning styles play a dominate role as key factor in proposed personalised intelligent learning system model based on students profiling and personalised learning process model. The algorithm (the sequence of steps) to implement this model is also presented in the paper.

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Use of Metaverse in Education

İnceoğlu

Çiloğlugil

2022

Lecture Notes in Computer Science

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Exploring the State of the Art in Adaptive Distributed Learning Environments

Cited by 7 publications

References 12 publications

Athena: A hybrid management system for multi‐device educational content

Athena: A hybrid management system for multi‐device educational content

On Application of Case-Based Reasoning to Personalise Learning

Use of Metaverse in Education

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