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  • From data to action: how AI and learning analytics are shaping the future of distance education
    Publication . Dias, João Tiago; Santos, Arnaldo; São Mamede, Henrique
    This chapter examines how Artificial Intelligence (AI) and Learning Analytics (LA) are transforming distance education, accelerated by the COVID-19 shift to e-learning. By using data from Learning Management Systems (LMS), these technologies can personalize learning, improve student retention, and automate tasks. AI, particularly machine learning, enables dynamic adaptation to student needs, while LA provides valuable insights for informed instructional decisions. However, ethical concerns, including data privacy and algorithmic bias, must be addressed to ensure equitable access and fair learning outcomes. The future of distance learning lies in responsible integration of AI and LA, creating immersive and inclusive educational experiences.
  • Maximising attendance in higher education: how AI and gamification strategies can boost student engagement and participation
    Publication . Limonova, Viktoriya; Santos, Arnaldo; São Mamede, Henrique; Filipe, Vítor Manuel de Jesus
    The decline in student attendance and engagement in Higher Education (HE) is a pressing concern for educational institutions worldwide. Traditional lecture-style teaching is no longer effective, and students often become disinterested and miss classes, impeding their academic progress. While Gamification has improved learning outcomes, the integration of Artificial Intelligence (AI) has the potential to revolutionize educational experience. The combination of AI and Gamification offers numerous research opportunities and paves the way for updated academic approaches to increase student engagement and attendance. Extensive research has been conducted to uncover the correlation between student attendance and engagement in HE. Studies consistently reveal that regular attendance leads to better academic performance. On the other hand, absenteeism can lead to disengagement and poor academic performance, stunting a student's growth and success. This position proposes integrating Gamification and AI to improve attendance and engagement. The approach involves incorporating game-like elements into the learning process to make it more interactive and rewarding. AI-powered tools can track student progress and provide personalized feedback, motivating students to stay engaged. This approach fosters a more engaging and fruitful educational journey, leading to better learning outcomes. This position paper will inspire further research in AI-Gamification integration, leading to innovative teaching methods that enhance student engagement and attendance in HE.
  • The application of artificial intelligence in recommendation systems reinforced through assurance of learning in personalized environments of e-Learning
    Publication . Bottaro Fresneda, Fernando Cesare; Santos, Arnaldo; Martins, Paulo; Reis, Leonilde
    Learning environments unquestionably enable learners to develop their pedagogical and scientific processes efficiently and effectively. Thus, con-sidering the impossibility of not having conditions of autonomy over the routine underlying the studies and, consequently, not having guarantees of the learning carried out makes the learners experience gaps in the domain of materials ade-quate to their actual needs. The paper's objective is to present the relevance of the applicability of Artificial Intelligence in Recommendation Systems, reinforced through the Assurance of Learning, oriented towards adaptive-personalized prac-tice in corporate e-learning contexts. The research methodology underlying the work fell on Design Science Research, as it is considered adequate to support the research, given the need to carry out the design phases, development, construc-tion, evaluation, validation of the artefact and, finally, communication of the re-sults. The main underlying results instigate the development of an Adaptive-Per-sonalized Learning framework for corporate e-learning, provided with models (methods and algorithms) of Artificial Intelligence and guided using the Assur-ance of (the) Learning process. It becomes central that learners can enjoy ade-quate academic development. In this sense, the framework has an implicit struc-ture that promotes the definition of personalized attributes, which involves rec-ommendations and customizations of content per profile, including training con-tent that will be suggested and learning activity content that will be continuously monitored, given the specific needs of learners.
  • An LMS with personalized content selection for professional training
    Publication . Aplugi, Glória; Santos, Arnaldo
    A Learning management system (LMS) is considered appropriate for company training. It is increasingly used in companies or organizations as a tool to manage their online training. The company or organization should consider the implementation of an LMS that provides ease in training content selection to achieve the best use and satisfaction of its employees in the learning process. From this perspective, the present study aims to investigate the implementation of a personalized LMS to facilitate the formative content selection tailored to employees’ roles. A Survey research methodology was used to achieve this objective. Based on the literature and survey results, we propose an approach to reach the personalization of content selection.
  • Applying large language models to software development: enhancing requirements, design and code
    Publication . Santos, Gonçalo; Silveira, Clara; Santos, Vitor; Santos, Arnaldo; São Mamede, Henrique
  • Evolution of an adaptive serious games framework using the design science research methodology
    Publication . Pistono, Alvaro; Santos, Arnaldo; Baptista, Ricardo
    Games with purposes beyond entertainment, the so-called serious games, have been useful tools in professional training, especially in engaging participants. However, their evaluation and, also, their adaptable characteristics to different scenarios, audiences and contexts remain challenges. This paper examines the application of serious games in professional training, their results and adaptable ways to achieve certain goals. Using the Design Science Research (DSR) methodology, a framework was built to develop and evaluate serious games to improve user experience, learning outcomes, knowledge transfer to work situations, and the application of the skills practised in the game in real professional settings. At this stage, the investigation presents a framework regarding the triangulation of data collected from a systematic literature review, focus groups and interviews. Following the DSR methodology, the next steps of this investigation, listed at the end of the paper, are the demonstration of the framework in serious game development and the evaluation and validation of this artefact.
  • Highly efficient software development using DevOps and microservices: a comprehensive framework
    Publication . Barbosa, David; Santos, Vitor; Silveira, Maria Clara; Santos, Arnaldo; São Mamede, Henrique
    With the growing popularity of DevOps culture among companies and the corresponding increase in Microservices architecture development—both known to boost productivity and efficiency in software development—an increasing number of organizations are aiming to integrate them. Implementing DevOps culture and best practices can be challenging, but it is increasingly important as software applications become more robust and complex, and performance is considered essential by end users. By following the Design Science Research methodology, this paper proposes an iterative framework that closely follows the recommended DevOps practices, validated with the assistance of expert interviews, for implementing DevOps practices into Microservices architecture software development, while also offering a series of tools that serve as a base guideline for anyone following this framework, in the form of a theoretical use case. Therefore, this paper provides organizations with a guideline for adapting DevOps and offers organizations already using this methodology a framework to potentially enhance their established practices.