Digital Commons Network^™

Multicultural Online Collaborative Learning: Students’ Engagement In Design Thinking Framework, Shizuyo Asai, Yuli Rahmawati, Fauzan Khairi Che Harun, Tula Jutarosaga

Practice Papers

This paper presents a collaborative learning course in which students from four universities in different Asian countries work in mixed teams to learn how to develop user-centered products and solve problems in a hands-on way using the Design Thinking framework. For the past three years, the courses were conducted entirely online. Cooperation and collaboration among diverse people from different backgrounds are essential to solving the social problems facing the world today. Like many universities, we have been actively sending our students abroad to provide opportunities to experience diverse cultures and values, but the pandemic has made it very difficult to …

What’S Law Got To Do With It? How The Degree Of Legalization Affects The Durability Of Post-Conflict Autonomy Agreements, Felix Schulte, Gene Carolan

Articles

Research has identified several factors that impact the sustainability of post-conflict territorial autonomy arrangements (TAA), including previous levels of violence, economic development in a given territory, or the strategic importance thereof. We argue that a hitherto neglected variable lies in the legal form of the autonomy agreement – that is, the degree to which it has been ‘legalized’ by the language and processes prescribed in the agreement. Based on a qualitative evaluation, we assess the legalization degree of 236 TAA signed between 1990 and 2019. Survival analyses and Cox regression models show that a higher degree of legalization has a …

Where You Are: Location Data In The Synthetic City, Conor Mcgarrigle

Conference Papers

In 2012 Google's Eric Schmidt, in the infamous creepy line interview, claimed that Google (we) “know where you are, know where you've been and can more or less guess what you're thinking”. Schmidt, no stranger to saying the quiet part aloud, tellingly connected locational knowledge with intent and prediction, and in doing so placed location at the heart of Google's data-extractivist model. This paper argues that as the size and complexity of AI models increases cities are key sites of both training data extraction and model deployment, with technology companies competing to build models that offer machinic understandings of cities …

Antecedents Of Information Adoption Of Sharing Mobile Social Commerce Experience: The Mediation Role Of Trust, Fulya Acikgoz, Abdelsalam Busalim, Theo Lynn

Conference Papers

Despite the growing importance of mobile social commerce (Ms-commerce), little research has been conducted on the effects of informational-related factors on Ms-commerce and the role of trust in user willingness to share their experiences. Drawing on the Information Adoption Model, we examine the effect of information usefulness, quality, credibility, and need on information adoption and the effect of information adoption on trust and willingness to share Ms-commerce experience. Using data from 280 UK Ms-commerce users, we applied Partial Least-Squares Structural Equation Modelling (PLS-SEM) to test the model. The findings show that informational-related factors have a significant and positive impact on …

Improving Communication Procedures By Means Of Videorecorded Proposals, Marta Aguilar, Jordi Olivella

Practice Papers

There is an agreement regarding the importance of communication in the promotion processes of all types of technical or entrepreneurial initiatives. Communication skills have to make it possible to obtain the maximum interaction with the agents involved and facilitate the commitment of these agents to a project. In this context, communicators’ erroneous perception of their own abilities and of how they are transmitting the information is a significant drawback that calls for improvement. Video-recording someone when speaking creates an impact on them given that the possibility of seeing themselves implies a significant change in the learning process. This technique has …

Exploring The Impact Of Problem-Based Learning On Student Learning Outcomes: Findings From The Pbl South Asia Project, Andrius Jurelionis, Gintare Stankeviciute, Avinash Dhital, Ellen Van Andel, Julia Sundman, Laura Stasiuliene, Shakuntala Acharya, Riina Subra

Practice Papers

This paper presents the results of surveys conducted among students and teachers / mentors in Nepal, Bhutan, and India, regarding the impact of implementing Problembased learning (PBL) methodology in engineering and multidisciplinary projects. The surveys were carried out under the Erasmus+ funded project, "Strengthening Problembased learning in South Asian Universities" (PBL South Asia). The project aimed to address the issues of education quality, employability, and sustainable development in the region by enhancing students’ practical experience, communication skills, teamwork abilities, as well as academic knowledge through PBL-adapted courses. As a result, South Asian higher education institutions have implemented PBL courses in …

Discovering Child Sexual Abuse Material Creators’ Behaviors And Preferences On The Dark Web, Vuong Ngo, Rahul Gajula, Christina Thorpe, Susan Mckeever

Articles

Background: Producing, distributing or discussing child sexual abuse materials (CSAM) is often committed through the dark web in order to remain hidden from search engines and regular users. Additionally, on the dark web, the CSAM creators employ various techniques to avoid detection and conceal their activities. The large volume of CSAM on the dark web presents a global social problem and poses a significant challenge for helplines, hotlines and law enforcement agencies.

Objective: Identifying CSAM discussions on the dark web and uncovering associated metadata insights into characteristics, behaviours and motivation of CSAM creators.

Participants and Setting: We have conducted an …

Toward Inclusive Online Environments: Counterfactual-Inspired Xai For Detecting And Interpreting Hateful And Offensive Tweets, Muhammad Deedahwar Mazhar Qureshi, Muhammad Atif Qureshi, Wael Rashwan

Articles

The prevalence of hate speech and offensive language on social media platforms such as Twitter has significant consequences, ranging from psychological harm to the polarization of societies. Consequently, social media companies have implemented content moderation measures to curb harmful or discriminatory language. However, a lack of consistency and transparency hinders their ability to achieve desired outcomes. This article evaluates various ML models, including an ensemble, Explainable Boosting Machine (EBM), and Linear Support Vector Classifier (SVC), on a public dataset of 24,792 tweets by T. Davidson, categorizing tweets into three classes: hate, offensive, and neither. The top-performing model achieves a weighted …

Evaluation Of Text Transformers For Classifying Sentiment Of Reviews By Using Tf-Idf, Bert (Word Embedding), Sbert (Sentence Embedding) With Support Vector Machine Evaluation, Mina Jamshidian

Dissertations

As the online world evolves and new media emerge, consumers are sharing their reviews and opinions online. This has been studied in various academic fields, including marketing and computer science. Sentiment analysis, a technique used to identify the sentiment of a piece of text, has been researched in different domains such as movie reviews and mobile app ratings. However, the video game industry has received relatively little research on experiential products. The purpose of this study is to apply sentiment analysis to user reviews of games on Steam, a popular gaming platform, in order to produce actionable results. The video …

Modelling And Mitigating Interlocutor Confusion In Situated Human-Avatar And Human-Robot Interaction, Na Li

Dissertations

Human-Robot Interaction (HRI) is an important but challenging field focused on improving the interaction between humans and robots, to make the interaction more intelligent and effective. However, building a natural conversational HRI is an interdisciplinary challenge for scholars, engineers, and designers. Achieving successful conversational interaction with a social robot necessitates not only observing a user’s active participation in the interaction but also being aware of their emotional and attitudinal states as the interaction progresses. On the topic of attitudinal states, one field that has received little attention to date is monitoring the user for possible confusion states. Confusion is a …

Improving Multiclass Classification Of Fake News Using Bert-Based Models And Chatgpt-Augmented Data, Elena Shushkevich, Mikhail Alexandrov, John Cardiff

Research Outputs: 2025-Present

Given the widespread accessibility of content creation and sharing, false information proliferation is a growing concern. Researchers typically tackle fake news detection (FND) in specific topics using binary classification. Our study addresses a more practical FND scenario, analyzing a corpus with unknown topics through multiclass classification, encompassing true, false, partially false, and other categories. Our contribution involves: (1) exploring three BERT-based models—SBERT, RoBERTa, and mBERT; (2) enhancing results via ChatGPT-generated artificial data for class balance; and (3) improving outcomes using a two-step binary classification procedure. Our focus is on the CheckThat! Lab dataset from CLEF-2022. Our experimental results demonstrate a …

Impact Of Character N-Grams Attention Scores For English And Russian News Articles Authorship Attribution, Liliya Mukhmutova, Robert J. Ross, Giancarlo Salton

Conference papers

Language embeddings are often used as black-box word-level tools that provide powerful language analysis across many tasks, but yet for many tasks such as Authorship Attribution access to feature level information on character n-grams can provide insights to help with model refinement and development. In this paper we investigate and evaluate the importance of character n-grams within an embeddings context in authorship attribution through the use of attention scores. We perform this investigation both for English (Reuters_50_50) and Russian (Taiga) news authorship datasets. Our analysis show that character n-grams attention score is higher for n-grams that are considered to be …

Supporting The Learning Of Women Middle Eastern Students Studying Engineering In Europe, Shannon M. Chance, B. Williams, Ines Direito

Research Outputs: 2025-Present

No abstract provided.

Persuasive Communication Systems: A Machine Learning Approach To Predict The Effect Of Linguistic Styles And Persuasion Techniques, Annye Braca, Pierpaolo Dondio

Articles

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

The Role Of Teacher Agency In Using Gis To Teach Sustainability: An Evaluation Of A Lower Secondary School Story Mapping Gis Initiative In Ireland, Sasha Brown, Zerrin Doganca Kucuk, Angela Rickard, James Lonergan, Rachel Abernethy, Lorraine Mcnerney, Ronan Foley, Avril Behan, Aengus Byrne, Bernard Essel, Jack Ffrench, Jonathan Faull, Conor Cahalane

Articles

This paper investigates the role of teacher agency for those who were trained in using an innovative Geographic Information Systems (GIS) approach and incorporated GIS into their teaching. While national curricula increasingly emphasise STEM and sustainability approaches, there has been limited analysis of how teachers can bring new software, including GIS, and new approaches into the classroom. Through an evaluation of a teaching initiative “5*S: Space, Surveyors and Students – STEM and the Sustainable Development Goals” designed to bring GIS technology, satellite data, and the Sustainable Development Goals (SDGs) into classrooms as activities and resources for teachers and students in …

Queer In Ai: A Case Study In Community-Led Participatory Ai, Anaelia Ovalle, Arjun Subramonian, Ashwiin Singh, Claas Voelcker, Danica Sutherland, Davide Locatelli, Eva Breznik, Felip Klubicka, Hang Yuan, Hetvi J, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Melind Agarwal, Nyx Mclean, Pan Xu, A. Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, S.T. John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew Mcnamara, Raphael Gontijo-Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

Conference papers

Queerness and queer people face an uncertain future in the face of ever more widely deployed and invasive artificial intelligence (AI). These technologies have caused numerous harms to queer people, including privacy violations, censoring and downranking queer content, exposing queer people and spaces to harassment by making them hypervisible, deadnaming and outing queer people. More broadly, they have violated core tenets of queerness by classifying and controlling queer identities. In response to this, the queer community in AI has organized Queer in AI, a global, decentralized, volunteer-run grassroots organization that employs intersectional and community-led participatory design to build an inclusive …

Performance Improvement Of Hybrid System Based Dfig-Wind/Pv/Batteries Connected To Dc And Ac Grid By Applying Intelligent Control, Younes Sahri, Salah Tamalouzt, Sofia Lalouni Belaid, Mohit Bajaj, Sherif S.M. Ghoneim, Hossam Zawbaa, Salah Kamel

Articles

One of the main causes of CO2 emissions is the production of electrical energy. Therefore, many researchers goal’s is to develop renewable power systems. This paper proposes a new intelligent control development of hybrid PV–Wind-Batteries. Neuro-Fuzzy Direct Power Control (NF-DPC) is invested in order to enhance system performance and generated currents quality. An improved MPPT algorithm based on Fuzzy Controller (FC) is invested for PV power optimization. In addition, a new Modified Fuzzy Direct Power Control (MF-DPC) is developed and applied to the grid side converter to control the active and reactive power by monitoring the involved active power flow …

Fostering Spatial Ability Development In And For Authentic Stem Learning, Caiwei Zhu, Chloe Oi-Ying Leung, Eleni Lagoudaki, Mariana Velho, Natalia Segura-Caballero, Dietsje Jolles, Gavin Duffy, Gunter Maresch, Marianna Pagkratidou, Remke Klapwijk

Articles

Empirical interdisciplinary research has explored the role of spatial ability in STEM learning and achievement. While most of this research indicates that fostering spatial thinking in educational contexts has the potential to positively impact students’ enrollment and performance in STEM subjects, there is less agreement on the best approach to do so. This article provides an overview of various types of effective spatial interventions and practices in formal or informal educational contexts, including targeted training of STEM-relevant spatial skills, spatialized curricula embedded in schools, integrated STEM practices addressing students’ use of spatial skills, and spatial activities in informal STEM education. …

Medical Concept Mention Identification In Social Media Posts Using A Small Number Of Sample References, Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Maja Popovic, Nishtha Jain, Patricia Buffini, John Kelleher

Conference papers

Identification of mentions of medical concepts in social media text can provide useful information for caseload prediction of diseases like Covid-19 and Measles. We propose a simple model for the automatic identification of the medical concept mentions in the social media text. We validate the effectiveness of the proposed model on Twitter, Reddit, and News/Media datasets.

Exploring Zero-Shot And Joint Training Cross-Lingual Strategies For Aspect-Based Sentiment Analysis Based On Contextualized Multilingual Language Models, Dang Van Thin, Hung Quoc Ngo, Duong Ngoc Hao, Ngan Luu-Thuy-Nguyen

Articles

Aspect-based sentiment analysis (ABSA) has attracted many researchers’ attention in recent years. However, the lack of benchmark datasets for specific languages is a common challenge because of the prohibitive cost of manual annotation. The zero-shot cross-lingual strategy can be applied to solve this gap in research. Moreover, previous works mainly focus on improving the performance of supervised ABSA with pre-trained languages. Therefore, there are few to no systematic comparisons of the benefits of multilingual models in zero-shot and joint training cross-lingual for the ABSA task. In this paper, we focus on the zero-shot and joint training cross-lingual transfer task for …

Spoken Language To Irish Sign Language Machine Translation: A Linguistically Informed Approach, Jesus Aguilar Lopez, Irene Murtagh, Sheila Castilho

Academic Posters Collection

Many deaf and hard-of-hearing individuals rely on sign language (SL) on a daily basis as a preferred language. Although nowadays there are significant advances on spoken language research, current approaches are often neither linguistically motivated nor tailored to the unique features of SLs. Further research and development are necessary to enhance Sign Language Machine Translation (SLMT) and bring it to a similar level as spoken language MT. This research will endeavour to improve the accuracy and efficiency of SLMT systems, making them more accessible to the Deaf community and empowering deaf and hard of hearing individuals to communicate more effectively …

Towards Accommodating Gerunds Within The Sign Language Lexicon, Zaid Mohammed, Irene Murtagh

Academic Posters Collection

This work is part of ongoing research work that focuses on the linguistic analysis and computational description of five different Sign Languages (SLs) namely Irish Sign Language (ISL), Flemish Sign Language (VGT), Dutch Sign Language (NGT), Spanish Sign Language (LSE), and British Sign Language (BSL) as part of the SignON project. This work will be leveraged to inform the development of SL lexicon entries for a Sign Language Machine Translation (SLMT) system. In particular, this research focuses on ISL. We investigate the existence of constructions similar to or equivalent in functionality to gerunds in spoken language, in particular, English. The …

Equity, Inclusion And Feminist Pedagogies: Supplement No. 14, Barbara Knežević, Michelle Malone

Articles

This paper describes and expands on the contributions the research team at Technological University Dublin have made to the DICO Digital Career Stories Erasmus+ project from March 2021 through February 2023. This paper examines the TU Dublin presentation of specific Fine Art research methods and technical and practical tools, as a unique way to open these discussions around ethical teaching with regards to access, technology, gender, class, ethnic and racial diversity. This paper looks at some of the specific tools and methods common to fine art education and practice in the points of sharing sessions to ask how lecturing staff …

Screw Loose Toolbox, Anton Schaefer

Practice Papers

Blue Engineering is a student-driven course on the environmental and social responsibility of engineers. It has been developed by student initiatives at two German universities since 2010. By 2023, there are more than 15 courses at universities in Germany and in the Netherlands using the open source course design. In assessing the learning outcomes of the participants, the need to promote the skill of transfer of learning of the students became clear. This practice paper presents the current approach: 24 metaphorical tools have been developed, each of which functions like a special lens, allowing to recognise certain patterns of action, …

Detection Of Truthful, Semi-Truthful, False And Other News With Arbitrary Topics Using Bert-Based Models, Elena Shushkevich, John Cardiff, Anna Boldyreva

Conference Papers

Easy and uncontrolled access to the Internet provokes the wide propagation of false information, which freely circulates in the Internet. Researchers usually solve the problem of fake news detection (FND) in the framework of a known topic and binary classification. In this paper we study possibilities of BERT-based models to detect fake news in news flow with unknown topics and four categories: true, semi-true, false and other. The object of consideration is the dataset CheckThat! Lab proposed for the conference CLEF-2022. The subjects of consideration are the models SBERT, RoBERTa, and mBERT. To improve the quality of classification we use …

Show, Prefer And Tell: Incorporating User Preferences Into Image Captioning, Annika Lindh, Robert J. Ross, John Kelleher

Conference papers

Image Captioning (IC) is the task of generating natural language descriptions for images. Models encode the image using a convolutional neural network (CNN) and generate the caption via a recurrent model or a multi-modal transformer. Success is measured by the similarity between generated captions and human-written “ground-truth” captions, using the CIDEr [14], SPICE [1] and METEOR [2] metrics. While incremental gains have been made on these metrics, there is a lack of focus on end-user opinions on the amount of content in captions. Studies with blind and low-vision participants have found that lack of detail is a problem [6, 13, …

Elara Conference - Techniques And Technologies To Support Sustainable Education In The Academic Sphere Year I Book 1, European Common Laboratory For Pedagogical Action-Research And Student-Centred Learning (Elara)

Publications

This research event seeks to encourage a critical dialogue between students, academics and researchers. We aim to promote the student voice within the context of sustainability with a student-centered approach. We also intend to popularise, inspire and share best practices with the purpose of questioning and exploring how to further enhance the learning, teaching and research experience of academics, researchers and students in a digital environment. The event aims to offer a creative space vibrant with participants’ voices debating over innovation and change, thus building a bridge between past achievements, knowledge and expertise, on the one hand, and further investigation, …

Circular Pedagogy To Advance The Integration Of Learning Technologies: Supporting Technological Universities Cultural Transformation, Nadia Barkoczi, Iulia Stefan, Ivaylo Peev, Todor Todorov, Lia Pop, Claudia Marian, Cristina Campian, Sonia Munteanu, Patrick Flynn, Jon-Hans Coetzer, Lucia Morales

Working Papers

European countries need active and proactive educational systems assisted by models that can drive a cultural transformation that supports sustainable socio-economic and environmental development. In this paper, we reflect on the future of European education. We offer some insights on how the foundations of a new educational model (ANEM) could be cemented and solidly supported by pillars that acknowledge our societies' rich and diverse cultures. Furthermore, the European University of Technology's (EUt+) future educational model is taken as a case study to enable us to reflect and analyse the need for novel pedagogies that drive change for a more sustainable …

How Online Discourse Networks Fields Of Practice: The Discursive Negotiation Of Autonomy On Art Organisation About Pages, Tommie Soro

Articles

This article examines how the online discourse of art organisations forges relationships between the artworld and the fields of politics and economy. Combining elements of Pierre Bourdieu’s field analysis and Norman Fairclough’s critical discourse analysis, the article analyses an elite art magazine, e-flux, and an elite art museum, IMMA, and the activities of discourses, genres, and utterances on their about pages. Its results suggest that the about pages of these organisations forge links between the artworld and the fields of politics and economy by mobilising discourse in these fields and by incorporating discourse practices from these fields. The ideological tension …

Ireland: Context - Sociopolitical Background, Tanya Dean

Books/Book Chapters

The period from the 1990s through to 2020 saw a profound shift in the identity of the Republic of Ireland. The early twentieth century was focussed on the move from a colonial to a postcolonial existence, and the majority of the first decades of independence were spent struggling as one of the poorest countries in Western Europe and taking tentative steps onto the single market as a member of the EU (then EEC) after 1973. However, the period of the 1990s to late 2000s saw the nation gradually assert itself as an increasingly liberal, notionally secular, economically vigorous member of …