Digital Commons Network^™

Social-Emotional Intelligence (Ei), Graduates And The Workplace – A Study Of A Tailored Approach To Ei Competency Development For Final Year Engineering Students, Ailish Jameson

Dissertations

Previous research has demonstrated that higher social and emotional competence (EI) results in increased life and career success. To date, EI coaching programmes have been delivered in higher education and in the workplace and have demonstrated success in terms of increased EI competence, post intervention. However, to date no attempt has been made in an Irish context to design and deliver a tailored EI coaching programme, based on the stated needs of employers. This study aimed to address this gap in EI research. It was exploratory in nature with a mixed method design being employed. In Phase One, a survey …

Pilgrimage, Existence, And Psychic Distress: An Exploration Of The Bodily And Psychic Phenomenon Of Pilgrimage, Christine Jamieson

International Journal of Religious Tourism and Pilgrimage

In ‘Pilgrimage, Existence, and Psychic Distress,’ Christine Jamieson draws on the work of psychoanalyst and linguist Julia Kristeva, tracking the haunting desire for healing and liberation inherent in pilgrimage as it touches the deep and irresolutely corporeal experience of what it means to be human.

Introduction : The Body Is The Place Where Pilgrimage Happens, Sara Terreault

International Journal of Religious Tourism and Pilgrimage

This paper lays the groundwork for reflection on pilgrimage in Christian and postChristian contexts, specifically as a cluster of performative practices of movement through time and across space, originating and substantiated in the lived flesh of pilgrim bodies-in-the-world. Thinking with Eade, Sallnow, and Poteat, no less than with Badiou, Eagleton, and Ricoeur, the author theorises the pilgrim body at the nexus of bodies, topographies, mobilities, and narratives.

Waiting For The Arrival Of The Text: Poetics In John Mcgahern's The Dark, Martin Keaveney

Journal of Franco-Irish Studies

No abstract provided.

De-Colonising The Western Gaze: The Portrait As A Multi-Sensory Cultural Practice, Angelika Boeck

Doctoral

This art practice-based thesis addresses the ocularcentric approach inherent in Western representations of ‘otherness’ with a view to expanding notions of the ‘portrait’ as a culturally specific practice. Drawing on a selection of projects conducted over two decades across diverse cultural contexts, together with written publications, the thesis explores possible ways to identify and theorise alternative methodological and analytical frameworks through which the Other can be represented. Turning the gaze upon the artist/researcher in performative acts of mutual representation as a dialogical method, cross-cultural projects addressed in the thesis include the indigenous Sámi’s yoik, the Aboriginal Australian’s track reading and …

Automatic Acquisition Of Annotated Training Corpora For Test-Code Generation, Magdalena Kacmajor, John D. Kelleher

Articles

Open software repositories make large amounts of source code publicly available. Potentially, this source code could be used as training data to develop new, machine learning-based programming tools. For many applications, however, raw code scraped from online repositories does not constitute an adequate training dataset. Building on the recent and rapid improvements in machine translation (MT), one possibly very interesting application is code generation from natural language descriptions. One of the bottlenecks in developing these MT-inspired systems is the acquisition of parallel text-code corpora required for training code-generative models. This paper addresses the problem of automatically synthetizing parallel text-code corpora …

Inferential Models Of Mental Workload With Defeasible Argumentation And Non-Monotonic Fuzzy Reasoning: A Comparative Study, Lucas Rizzo, Luca Longo

Conference papers

Inferences through knowledge driven approaches have been researched extensively in the field of Artificial Intelligence. Among such approaches argumentation theory has recently shown appealing properties for inference under uncertainty and conflicting evidence. Nonetheless, there is a lack of studies which examine its inferential capacity over other quantitative theories of reasoning under uncertainty with real-world knowledge-bases. This study is focused on a comparison between argumentation theory and non-monotonic fuzzy reasoning when applied to modeling the construct of human mental workload (MWL). Different argument-based and non-monotonic fuzzy reasoning models, aimed at inferring the MWL imposed by a selection of learning tasks, in …

Embedding Oer's For The Development Of Information Literacy In The Foreign Language Classroom, Odette Gabaudan, Susanna Nocchi

Books/Book Chapters

Despite a rapid growth of Open Educational Resource (OER) availability, Thoms and Thoms (2014) note that few empirical studies examine the impact of OERs on foreign language learning and teaching. This paper presents an action research study investigating the embedding of selected components of DigiLanguages, an OER for Digital Literacies (DLs) for Foreign Languages (FL) within a Bachelor of Arts (BA) in International Business and Languages at the Technological University Dublin. Digilanguages.ie is an open portal developed collaboratively by six tertiary education institutions in Ireland. Digital literacies for FL learning and teaching is a key strand in this resource. The …

An Investigation Of Three Subjective Rating Scales Of Mental Workload In Third Level Education, Nha Vu Thanh Nguyen

Dissertations

Mental Workload assessment in educational settings is still recognized as an open research problem. Although its application is useful for instructional design, it is still unclear how it can be formally shaped and which factors compose it. This paper is aimed at investigating a set of features believed to shape the construct of mental workload and aggregating them together in models trained with supervised machine learning techniques. In detail, multiple linear regression and decision trees have been chosen for training models with features extracted respectively from the NASA Task Load Index and the Workload Profile, well-known self-reporting instruments for assessing …

An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment, Mrunal Tipari

Dissertations

One of the key goals of Pedagogy is to assess learning. Various paradigms exist and one of this is Cognitivism. It essentially sees a human learner as an information processor and the mind as a black box with limited capacity that should be understood and studied. With respect to this, an approach is to employ the construct of cognitive load to assess a learner's experience and in turn design instructions better aligned to the human mind. However, cognitive load assessment is not an easy activity, especially in a traditional classroom setting. This research proposes a novel method for evaluating learning …

The Dark Sky Character Of Archaeological Landscapes: Cultural Meaning And Conservation Strategies, Frank Prendergast

Book/Book Chapter

This paper presents the first ever study of light pollution at selected Irish prehistoric archaeological landscapes. The concepts of cosmology and landscape are first briefly described and followed by a summary of early human settlement of the island. Building on this, the extant corpus of early prehistoric megalithic burial tombs is illustrated to show their contrasting distribution patterns and typology. Analysis of tomb locations using nearest-neighbour statistical methods reveals evidence of intentional clustering. Further geo-statistical analysis identifies the geographical locations and the density ranking of these nucleated clusters - a feature especially evident in the passage tomb tradition on this …

On The Mental Workload Assessment Of Uplift Mapping Representations In Linked Data, Ademar Crotti Junior, Christophe Debruyne, Luca Longo, Declan O'Sullivan

Conference papers

Self-reporting procedures have been largely employed in literature to measure the mental workload experienced by users when executing a specific task. This research proposes the adoption of these mental workload assessment techniques to the task of creating uplift mappings in Linked Data. A user study has been performed to compare the mental workload of “manually” creating such mappings, using a formal mapping language and a text editor, to the use of a visual representation, based on the block metaphor, that generate these mappings. Two subjective mental workload instruments, namely the NASA Task Load Index and the Workload Profile, were applied …

The Use Of Deep Learning Distributed Representations In The Identification Of Abusive Text, Susan Mckeever, Hao Chen, Sarah Jane Delany

Conference papers

The selection of optimal feature representations is a critical step in the use of machine learning in text classification. Traditional features (e.g. bag of words and n-grams) have dominated for decades, but in the past five years, the use of learned distributed representations has become increasingly common. In this paper, we summarise and present a categorisation of the stateof-the-art distributed representation techniques, including word and sentence embedding models. We carry out an empirical analysis of the performance of the various feature representations using the scenario of detecting abusive comments. We compare classification accuracies across a range of off-the-shelf embedding models …

Analysing The Impact Of Machine Learning To Model Subjective Mental Workload: A Case Study In Third-Level Education, Karim Moustafa, Luca Longo

Conference papers

Mental workload measurement is a complex multidisciplinary research area that includes both the theoretical and practical development of models. These models are aimed at aggregating those factors, believed to shape mental workload, and their interaction, for the purpose of human performance prediction. In the literature, models are mainly theory-driven: their distinct development has been influenced by the beliefs and intuitions of individual scholars in the disciplines of Psychology and Human Factors. This work presents a novel research that aims at reversing this tendency. Specifically, it employs a selection of learning techniques, borrowed from machine learning, to induce models of mental …

Distance,Time And Terms In First Story Detection, Fei Wang

Doctoral

First Story Detection (FSD) is an important application of online novelty detection within Natural Language Processing (NLP). Given a stream of documents, or stories, about news events in a chronological order, the goal of FSD is to identify the very first story for each event. While a variety of NLP techniques have been applied to the task, FSD remains challenging because it is still not clear what is the most crucial factor in defining the “story novelty”. Giventhesechallenges,thethesisaddressedinthisdissertationisthat the notion of novelty in FSD is multi-dimensional. To address this, the work presented has adopted a three dimensional analysis of the …

Contextual Word Embeddings - Trained On English Wikipedia Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Datasets

This archive contains a collection of computational models called word embeddings. These are vectors that contain numerical representations of words. These have been trained on real language sentences collected from the English Wikipedia. As such, they contain contextual (thematic) knowledge about words (rather than taxonomic).

Taxonomic Word Embeddings - Trained On English Wordnet Random Walk Pseudo-Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Datasets

This archive contains a collection of computational models called word embeddings. These are vectors that contain numerical representations of words. They have been trained on pseudo-sentences generated artificially from a random walk over the English WordNet taxonomy, and thus reflect taxonomic knowledge about words (rather than contextual).

Persistence Pays Off: Paying Attention To What The Lstm Gating Mechanism Persists, John D. Kelleher, Giancarlo Salton

Articles

Language Models (LMs) are important components in several Natural Language Processing systems. Recurrent Neural Network LMs composed of LSTM units, especially those augmented with an external memory, have achieved state-of-the-art results. However, these models still struggle to process long sequences which are more likely to contain long-distance dependencies because of information fading and a bias towards more recent information. In this paper we demonstrate an effective mechanism for retrieving information in a memory augmented LSTM LM based on attending to information in memory in proportion to the number of timesteps the LSTM gating mechanism persisted the information.

Is There A Correlation Between Wikidata Revisions And Trending Hashtags On Twitter?, Paula Dooley

Dissertations

Twitter is a microblogging application used by its members to interact and stay socially connected by sharing instant messages called tweets that are up to 280 characters long. Within these tweets, users can add hashtags to relate the message to a topic that is shared among users. Wikidata is a central knowledge base of information relying on its members and machines bots to keeping its content up to date. The data is stored in a highly structured format with the added SPARQL protocol and RDF Query Language (SPARQL) endpoint to allow users to query its knowledge base.

Detection Of Offensive Youtube Comments, A Performance Comparison Of Deep Learning Approaches, Priyam Bansal

Dissertations

Social media data is open, free and available in massive quantities. However, there is a significant limitation in making sense of this data because of its high volume, variety, uncertain veracity, velocity, value and variability. This work provides a comprehensive framework of text processing and analysis performed on YouTube comments having offensive and non-offensive contents.

YouTube is a platform where every age group of people logs in and finds the type of content that most appeals to them. Apart from this, a massive increase in the use of offensive language has been apparent. As there are massive volume of new …

The Role Of Previous Discourse In Identifying Public Textual Cyberbullying, Aurelia Power, Anthony Keane, Brian Nolan, Brian O'Neill

Articles

In this paper we investigate the contribution of previous discourse in identifying elements that are key to detecting public textual cyberbullying. Based on the analysis of our dataset, we first discuss the missing cyberbullying elements and the grammatical structures representative of discourse-dependent cyberbullying discourse. Then we identify four types of discourse dependent cyberbullying constructions: (1) fully inferable constructions, (2) personal marker and cyberbullying link inferable constructions, (3) dysphemistic element and cyberbullying link inferable constructions, and (4) dysphemistic element inferable constructions. Finally, we formalise a framework to resolve the missing cyberbullying elements that proposes several resolution algorithms. The resolution algorithms target …

A Situational Analysis Of The Current Level Of Lecturers’ Engagement With Internationalisation Of The Curriculum In Ireland’S First Technological University, Deirdre Ryan, Fiona Faulkner, Dominic Dillane, Robert Flood

Journal Articles

The educational value of internationalisation in higher education is of critical importance for both domestic and international students. While national and institutional policies globally are increasingly prioritising internationalisation, the resultant consequences for the teaching and learning context are not adequately being explored. Understanding engagement with Internationalisation of the Curriculum from the lecturers’ perspective allows for a greater insight into the inherent implementation gap between the theory and practice of the process. This knowledge may then help inform strategies to address the gap. The present study details the current level of engagement between lecturers and Internationalisation of the Curriculum in Ireland’s …

Multi-Element Long Distance Dependencies: Using Spk Languages To Explore The Characteristics Of Long-Distance Dependencies, Abhijit Mahalunkar, John Kelleher

Conference papers

In order to successfully model Long Distance Dependencies (LDDs) it is necessary to under-stand the full-range of the characteristics of the LDDs exhibited in a target dataset. In this paper, we use Strictly k-Piecewise languages to generate datasets with various properties. We then compute the characteristics of the LDDs in these datasets using mutual information and analyze the impact of factors such as (i) k, (ii) length of LDDs, (iii) vocabulary size, (iv) forbidden strings, and (v) dataset size. This analysis reveal that the number of interacting elements in a dependency is an important characteristic of LDDs. This leads us …

The Political Power Of Twitter, James Usher, Pierpaolo Dondio, Lucia Morales

Conference papers

In June 2016, the British voted by 52 per cent to leave the EU, a club the UK joined in 1973. This paper examines Twitter public and political party discourse surrounding the BREXIT withdrawal agreement. In particular, we focus on tweets from four different BREXIT exit strategies known as “Norway”, “Article 50”, the “Backstop” and “No Deal” and their effect on the pound and FTSE 100 index from the period of December 10th 2018 to February 24th 2019. Our approach focuses on using a Naive Bayes classification algorithm to assess political party and public Twitter sentiment. A Granger causality analysis …

Music Information Retrieval For Irish Traditional Music Automatic Analysis Of Harmonic, Rhythmic, And Melodic Features For Efficient Key-Invariant Tune Recognition, Pierre Beauguitte

Doctoral

Music making and listening practices increasingly rely on techno logy,and,asaconsequence,techniquesdevelopedinmusicinformation retrieval (MIR) research are more readily available to end users, in par ticular via online tools and smartphone apps. However, the majority of MIRresearchfocusesonWesternpopandclassicalmusic,andthusdoes not address specificities of other musical idioms. Irishtraditionalmusic(ITM)ispopularacrosstheglobe,withregular sessionsorganisedonallcontinents. ITMisadistinctivemusicalidiom, particularly in terms of heterophony and modality, and these character istics can constitute challenges for existing MIR algorithms. The bene fitsofdevelopingMIRmethodsspecificallytailoredtoITMisevidenced by Tunepal, a query-by-playing tool that has become popular among ITM practitioners since its release in 2009. As of today, Tunepal is the state of the art for tune recognition in ITM. The research in …

Intellectual Output 1 (I01): Skillsfocus 2030: A Model Of Skills And Attributes Needed For Engineers To Achieve The Sdgs, Una Beagon, Brian Bowe, Klara Kövesi, Christiane Gillet, Brad Tabas, Bente Nørgaard, Claus Spliid, Riitta Lehtinen

Reports

No abstract provided.

Report On The Future Role Of Engineers In Society And The Skills And Competences Engineering Will Require, Brad Tabas, Una Beagon, Klara Kövesi

Reports

This literature review outlines the current state of the art knowledge in relation to the influence of diversity, attractiveness of the engineering profession and the skills and competencies required of engineers to achieve the SDGs. We aim to answer the overall research question: How do engineering educators develop new learning and teaching approaches (methods) that will attract a diverse group of students (and mature learners) whilst achieving the SDGs in 2030? The main objective of the A-STEP 2030 project is to create an attractive and fascinating learning environment to encourage young people with diverse backgrounds to engage in engineering studies …

A Guide For Vet Teachers With A Focus On Aquaculture: Using Student Rapid Response Systems (Srrs) For Formative Assessment And For Recognition Of Prior Learning (Rpl), Anne Murphy, Aiden Kenny, Martyn Haines, Christine Dudgeon, Dag Willmann

Other resources

Introduction: This Optimal Guide is organised into 6 Parts as illustrated below. The reader is free to follow the sequence of parts or simply go to the parts of relevance.

The Case Of Inter-Expert Creative Collaboration In Science Gallery Dublin: A Discourse Analytical Approach, Diane Tangney [Thesis]

Doctoral

The phenomenon of creativity has been a focus of enquiry by psychologists for many years. Compared with individual creativity, much less is known about creativity in collaborative contexts (Glăveanu, 2010; Sawyer, 2010). Taking a sociocultural view of creativity, this study contributes to an emerging strand of research that focusses centrally on how creativity unfolds in the performance of creative collaboration.

The research design followed an inductive path conducive to theory building and employed a single case study method (Yin, 2009). Science Gallery Dublin, part of Trinity College Dublin (TCD), is presented as a special place for creative collaboration.

In response …

Re-Assessing The Place Of The “Silent Period” In The Development Of English As An Additional Language Among Children In Early Years Settings, Ruth Harris

Articles

This paper explores the acceptance of a “silent period” as a stage in second language development for children acquiring English as an Additional Language in Early Years settings. Current views suggest that it is normal for children to very quickly stop using their mother tongue and enter a period of silence. A positive perspective on this is that children may be using this time to observe and grow in understanding of the second language. However, there may also be negative effects, as children may become withdrawn and miss out on opportunities to develop relationships and language. It is the argument …