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- A survey on association rule mining for enterprise architecture model discoveryPublication . Pinheiro, Carlos; Guerreiro, Sérgio; São Mamede, HenriqueAssociation Rule Mining (ARM) is a field of data mining (DM) that attempts to identify correlations among database items. It has been applied in various domains to discover patterns, provide insight into different topics, and build understandable, descriptive, and predic- tive models. On the one hand, Enterprise Architecture (EA) is a coherent set of principles, methods, and models suit- able for designing organizational structures. It uses view- points derived from EA models to express different concerns about a company and its IT landscape, such as organizational hierarchies, processes, services, applica- tions, and data. EA mining is the use of DM techniques to obtain EA models. This paper presents a literature review to identify the newest and most cited ARM algorithms and techniques suitable for EA mining that focus on automating the creation of EA models from existent data in application systems and services. It systematically identifies and maps fourteen candidate algorithms into four categories useful for EA mining: (i) General Frequent Pattern Mining, (ii) High Utility Pattern Mining, (iii) Parallel Pattern Mining, and (iv) Distribute Pattern Mining. Based on that, it dis- cusses some possibilities and presents an exemplification with a prototype hypothesizing an ARM application for EA mining.
- Learning analytics to close the gap in digital literacy of SMEsPublication . Silva, Rui Pedro; São Mamede, HenriqueTo transform an organization, it isn’t possible to ignore the people aspect and the significant impact of talent development in any transformation process. While in larger organizations, there is often access to more resources that ultimately could bring the needed competencies to successfully run such a complex program, in small or medium enterprises, the resources are more limited and the access to talent more difficult, forcing a potential more aggressive strategy in developing the digital skills needed to enable their transformation. This work aims to review some of the literature and better comprehend the role of learning analytics as a practice that could potentially be used to enhance the learning process within Small and Medium Enterprises and support the improvement of digital literacy within these companies.
- Pesquisa de conceitos em Microsoft Cognitive SearchPublication . Diogo, José; São Mamede, HenriqueO processo de revisão sistemática de literatura em investigação continua a apresentar-se como um processo com um elevado custo de recursos humanos e de tempo. Com vista em otimizar este processo pretende-se estudar a performance da ferramenta de pesquisa Cognitive Search da Microsoft que contem funcionalidades de inteligência artificial (IA). Neste trabalho foi implementada uma solução de pesquisa, i.e., parametrização do serviço de pesquisa, que produz uma classificação de relevância dos artigos científicos. Uma análise qualitativa aos artigos científicos foi efetuada para analisar a performance da solução de pesquisa e habilidades de inteligência artificial da ferramenta. O tema da revisão sistemática é “how is artificial intelligence (AI) being used in Higher Education (HE) today, involving tree dimensions: learning with AI, learning about AI and learning for AI”.
- Combining low-code development with ChatGPT to novel no-code approaches: a focus-group studyPublication . Martins, José; Branco, Frederico; São Mamede, Henrique; Martins, JoséLow-code tools are a trend in software development for business solutions due to their agility and ease of use. There are a certain number of vendors with such solutions. Still, in most Western countries, there is a clear need for the existence of greater quantities of certified and experienced professionals to work with those tools. This means that companies with more resources can attract and maintain those professionals, whilst other smaller organizations must rely on an endless search for this scarce resource. We will present and validate a model designed to transform ChatGPT into a low-code developer, addressing the demand for a more skilled human resource solution. This innovative tool underwent rigorous validation via a focus group study, engaging a panel of highly experienced experts. Their invaluable insights and feedback on the proposed model were systematically gathered and meticulously analysed.
- Artificial intelligence applied to potential assessment and talent identification in an organisational contextPublication . França, Tiago Jacob Fernandes; São Mamede, Henrique; Barroso, João Manuel Pereira; Santos, Vítor Manuel Pereira Duarte dosOur study provides valuable insights into the relationship between artificial intelligence (AI) and Human Resource Management (HRM). Using a systematic literature review and the PRISMA statement, we have minimised bias and ensured reliable findings. Our comprehensive synthesis of the included studies, along with a bibliometric analysis of articles, journals, indexes, authors' affiliations, citations, keyword co-occurrences, and co-authorship analysis, has produced robust results. The discussion of our findings focuses on key areas of interest, such as AI and Talent, AI Bias, Ethics and Law, and their impact on Human Resource (HR) management. Our research highlights the recognition by organisations of the importance of talent management in achieving a competitive advantage as higher-level skills become increasingly necessary. Although some HR managers have adopted AI technology for talent acquisition, our study reveals that there is still room for improvement. Our study is in line with previous research that acknowledges the potential for AI to revolutionise HR management and the future of work. Our findings emphasise the need for HR managers to be proactive in embracing technology and bridging the technological, human, societal, and governmental gaps. Our study contributes to the growing body of knowledge on AI and HR management, providing essential insights and recommendations for future research. The importance of our study lies in its focus on the role of HR in promoting the benefits of AI-based applications, thereby creating a larger body of knowledge from an organisational perspective.
- The research context of artificial intelligence and gamification to improve student engagement and attendance in higher educationPublication . Limonova, Viktoriya; Santos, Arnaldo; São Mamede, Henrique; Filipe, VítorA significant concern that is widely discussed in the field of Higher Education is declining student participation. In several institutions, attendance is optional, allowing students to attend lectures at their convenience. This study proposes the integration of Artificial Intelligence and Gamification to improve student engagement and attendance rates. The initiative combines advanced technological strategies with conventional educational methodologies to enhance the lecture experience. The initiative is significant as formal lectures often witness dwindling student interest and frequent absenteeism, undermining the educational process and student's future career prospects. This combination has the potential to revolutionise Higher Education by providing a more interactive and engaging learning experience. While gamification has positively impacted learning in various contexts, integration with Artificial Intelligence is a game-changer, paving the way for a modernised educational experience. This innovative exploration of the AI-gamification blend sets the stage for future research and the implementation of updated academic strategies, ultimately addressing student engagement and attendance. This position paper presents the bases and foundations for understanding the problem of student attendance and engagement and the role of AI and gamification in Higher Education in alleviating it.