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Article
Publication date: 11 September 2017

Dimitrios Koutsomitropoulos, Georgia Solomou and Katerina Kalou

The purpose of this paper is to propose a framework and system to address the inability to discover new and authentic learning material and the lack of a single access point for…

260

Abstract

Purpose

The purpose of this paper is to propose a framework and system to address the inability to discover new and authentic learning material and the lack of a single access point for search and browsing of remote learning object repositories (LORs).

Design/methodology/approach

The authors develop a framework for keyword-based query expansion using SKOS domain terminologies and implement a federated search mechanism integrating various disparate LORs within a learning management system (LMS).

Findings

The authors show that the expanded query achieves improved information gain and it is applied for federated information access, by simultaneously searching within a number of repositories. Results can be seamlessly aggregated back within the LMS and the course context.

Practical implications

It is possible to retrieve additional learning objects (LOs) and achieve a corresponding increase in recall, while maintaining precision. SKOS expansion behaves well in a scholarly setting, which, combined with federated search, can contribute toward LOs’ discovery at a balanced cost. The system can be easily integrated with other platforms as well, building on open standards and RESTful communication.

Originality/value

To the authors’ knowledge, this is the first time SKOS-based query expansion is applied in a federated setting, and for the discovery and alignment of learning objects residing within LORs. The results show that this approach can achieve considerable information gain and that it is possible to strike a balance between search effectiveness, query drift and performance.

Details

Journal of Enterprise Information Management, vol. 30 no. 5
Type: Research Article
ISSN: 1741-0398

Keywords

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Article
Publication date: 2 February 2015

Georgia Solomou and Dimitrios Koutsomitropoulos

Successful learning infrastructures and repositories often depend on well-organized content collections for effective dissemination, maintenance and preservation of resources. By…

990

Abstract

Purpose

Successful learning infrastructures and repositories often depend on well-organized content collections for effective dissemination, maintenance and preservation of resources. By combining semantic descriptions already lying or implicit within their descriptive metadata, reasoning-based or semantic searching of these collections can be enabled and produce novel possibilities for content browsing and retrieval. The specifics and necessities of such an approach, however, make it hard to assess and measure its effectiveness. The paper aims to discuss these issues.

Design/methodology/approach

Therefore in this paper the authors introduce a concrete methodology toward a pragmatic evaluation of semantic searching in such scenarios, which is exemplified through the semantic search plugin the authors have developed for the popular DSpace repository system.

Findings

The results reveal that this approach can be appealing to expert as well as novice users alike, improve the effectiveness of content discovery and enable new retrieval possibilities in comparison to traditional, keyword-based search.

Originality/value

This paper presents applied research efforts to employ semantic searching techniques on digital repositories and to construct a novel methodology for evaluating the outcomes against various perspectives. Although this is original in itself, value lies also within the concrete and measurable results presented, accompanied by an analysis, that would be helpful to assess similar (i.e. semantic query answering and searching) techniques in the particular scenario of digital repositories and libraries and to evaluate corresponding investments. To the knowledge there has been hardly any other evaluation effort in the literature for this particular case; that is, to assess the merit and usage of advanced semantic technologies in digital repositories.

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Article
Publication date: 6 February 2025

Maria Socratous, Georgia Thrasyvoulou and Christiana Stylianou

This paper aims to explore how technological developments can position Cyprus at the forefront of sustainable tourism through the perspectives of key policymakers. It examines the…

20

Abstract

Purpose

This paper aims to explore how technological developments can position Cyprus at the forefront of sustainable tourism through the perspectives of key policymakers. It examines the potential impacts, challenges and opportunities of integrating technological developments in the Cyprus tourism industry.

Design/methodology/approach

A qualitative research methodology was employed, using a focus group comprising nine key policymakers from the tourism industry in Cyprus. A thematic analysis was conducted on the collected data.

Findings

The findings underscore significant challenges in implementing technological advancements in Cyprus, including the need for substantial investments, bureaucratic processes and reliance on outdated systems. However, there is a clear recognition of the importance of technological developments, with many innovative ideas being proposed to overcome obstacles and drive progress in sustainable tourism.

Originality/value

This paper provides a unique perspective by focusing on the role of technology in promoting sustainable tourism in Cyprus through the lens of key policymakers. Its value lies in exploring specific challenges and opportunities in integrating technology into the tourism sector, particularly within the context of a small island nation. The study offers practical solutions for overcoming barriers, emphasising the importance of stakeholder collaboration and investment in technological advancements to enhance Cyprus as a destination that has many aspects to offer in sustainable tourism.

Details

Worldwide Hospitality and Tourism Themes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-4217

Keywords

Available. Open Access. Open Access
Article
Publication date: 27 May 2024

Surbhi Seema Sethi and Kanishk Jain

This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings.

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Abstract

Purpose

This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings.

Design/methodology/approach

A systematic review of emerging AI technologies such as virtual reality, chatbots, sentiment analysis tools, gamification and wearable devices is conducted to assess their applicability in enhancing SEL.

Findings

AI technologies present opportunities for personalized support, increased engagement, empathy development and promotion of well-being within SEL frameworks.

Research limitations/implications

Future research should focus on addressing ethical concerns, fostering interdisciplinary collaborations, conducting longitudinal studies, promoting cultural sensitivity and developing robust ecosystems for AI in SEL.

Originality/value

This study contributes by outlining pathways for leveraging AI to create inclusive and supportive learning environments that nurture students' socio-emotional competencies, preparing them for success in a globally connected world.

Details

Journal of Research in Innovative Teaching & Learning, vol. 17 no. 2
Type: Research Article
ISSN: 2397-7604

Keywords

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