User experience and efficiency for semantic search engine

Fatima, Arooj; Luca, Cristina; Wilson, George

doi:10.1109/optim.2014.6851023

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…Always according to the indications of the UDL framework, it would also be important to choose platforms capable of ensuring an intelligent organization of the material, exploiting the principles of semantic classification and meta-tagging (e.g. by topic or by subject) (Dong et al, 2008;Fatima, Luca & Wilson, 2014). In this way, it would be guaranteed a friendly, intuitive and more inclusive platform since unpleasant situations of bewilderment in front of a vast and disordered mass of material could be avoided.…”

Section: E-inclusive Learning Featuresmentioning

confidence: 99%

Learn by distance: advice for choosing an effective and inclusive e- Learning platform

Ianes

Venturoso

2021

IUL Research

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In this last eventful year, in order to deal with the health emergency, the logistic problems related to it and the imposition of "distance learning", digital e-Learning platforms and tools have been widely used both for teaching and for autonomous work. However, these technologies were often completely new to users and their parents, who had to quickly adapt to the situation by learning how to handle them, not always in the most efficient way. Moreover, many families were not technologically and economically prepared for this situation due to inadequate internet connection, equipment and related tools (Beaunoyer E. 2020, Van Lancker, W. 2020). In this complex scenario, children and adolescents with special educational needs and disabilities (SEND) have suffered the most and the already existing gap with their schoolmates has widened further (Asbury, K. 2020). With the aim of both reducing this gap and improving the school inclusion and distance learning experience, we believe it is necessary to provide families and all those involved in learning environments useful information for choosing such platforms. In this work we have analysed some existing platforms in order to highlight and list the most suitable features for better learning that can somehow both fill the many gaps in distance learning and boost the experience of face-to-face teaching when the health emergency will be over. Features such as cooperative teaching, the availability of a wide variety of evaluation types (true/false, quiz, cloze test etc.), digital repositories and the possibility to set specific and guided learning paths and monitor learning trends should help teachers organize daily activities. Working in small groups, having more listening space, receiving effective feedbacks on progress from tutors and teachers, having materials organized with an appropriate search system based on semantic tagging by topic and subject and the presence of gamification principles (rewards, enhanced visuals and interactivity) should also be considered in the decision process. Furthermore, the selection process must pay proper attention to the characteristics of SEND's. Specifically, it is pivotal to stimulate as much as possible their meta-cognitive strategies and provide proper materials to strengthen existing competences and boost new compensatory strategies.

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Section: E-inclusive Learning Featuresmentioning

confidence: 99%

Learn by distance: advice for choosing an effective and inclusive e- Learning platform

Ianes

Venturoso

2021

IUL Research

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“…In the research work of Bouras and Tsogkas, the WordNet database was used to enrich the ‘bag of words’ used before the clustering process and assisting the label generation procedure following it [14]. Roul and Sahay utilised term-term correlation and support based count for feature selection to remove tags that may cause noises [4]. In this research, since stackoverflow is a large corpus, a support-based method was utilised to filter out unimportant tags.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Search engines are partial remedies but have their limitations. Search engines are usually syntax-based and, as pointed out by Fatima, Luca, and Wilson, 'the existing search engines have some limitations, in particular, their difficulty in returning relevant results' [4]. Semantic-based search technologies, on the other hand, are still emerging and have many challenges to overcome, for example, some knowledge may be too specific to the domain of users [5].…”

Section: Literature Reviewmentioning

confidence: 99%

A semi-hierarchical clustering method for constructing knowledge trees from stackoverflow

Tseng

Lin

2020

Journal of Information Science

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To help students learn how to programme, we have to give them a clear knowledge map and sufficient materials. Question-based websites, such as stackoverflow, are excellent information sources for this goal. However, for beginners, the process can be a little tricky since they may not know how to ask correct questions if they do not have sufficient background knowledge, and a knowledge tree is usually considered more helpful in such a scenario. In this research, a method to infer a knowledge tree automatically from the type of websites and to group documents based on the resulting knowledge tree is proposed. The proposed method mainly addresses two issues: first, the quality of tags cannot be guaranteed, and second, clustering-based methods usually generate the flat schema. The occurrence count and the co-occurrence ratio were used together to identify important tags. Then, an algorithm was developed to infer the hierarchical relationship between tags. Using these tags as centres, the clustering performance is better than applying k-means alone.

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“…16  An easy and friendly user interface that provides certain features to get an understanding of user requirement for the data i.e. spell checking, grammar correction (if possible), auto-suggest [9].  An efficient system that quickly finds results.…”

Section: Introductionmentioning

confidence: 99%