Percorrer por autor "Santos, Arnaldo"
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- Adaptation and personalization of learning management system, oriented to employees’ role in enterprise context: literature reviewPublication . Santos, Arnaldo; Aplugi, GlóriaIn the digital age, the training in companies can be facilitated through a proper system to the company’s demand. A learning platform personalized to the profile of employees can facilitate the selection of training that tailored to their roles. This research aims to investigate the existence of adaptation and personalization of learning management systems (LMS) in enterprise context, that facilitate the selection of learning’s content suited for employees’ roles. This study focuses on literature reviewto understand the importance of a personalized LMS in company, especially in selection of content that adequate to role of each employee.
- An initial framework for adaptive serious games based on a systematic literature reviewPublication . Pistono, Alvaro; Santos, Arnaldo; Baptista, RicardoSerious Games have been used in professional training to increase employee engagement and improve the results of training initiatives. This work intends to investigate the influence of game elements, in adaptable Serious Games, according to the users' interactions, on the increase of engagement in the game itself and, as the main goal, on the learning results and the transfer of the acquired knowledge and practised skills to the daily work activities. Using the Design Science Research - DSR methodology, this study aims to develop a framework for the development and evaluation of Serious Games to improve the user experience, the learning outcomes, the transfer of knowledge to work situations, and the application of the skills practised in the game in real professional scenarios. This paper presents an initial Framework for Adaptive Serious Games derived from a systematic literature review. The next steps in this investigation are pointed out following the DSR methodology.
- Animation learning object: an interactive approach using digital storytelling and serious games techniquesPublication . Braguez, Joana; Santos, ArnaldoThis research describes the development and validation of an interactive Learning Object (LO) designed to teach the 12 principles of 2D Animation, using strategies from Digital Storytelling and Serious Games to foster a more engaging and meaningful learning experience. The solution was implemented on the Moodle platform, incorporating various H5P content types, and complemented by an analytical dashboard, enabling the monitoring of student progress through xAPI data and CSV files exported from Moodle.The pedagogical evaluation combined both qualitative instruments, including diagnostic and final tests, as well as a satisfaction survey validated by experts. The results show a positive evolution in knowledge, high levels of user satisfaction, and ease of platform use. The project confirms the potential of combining digital narrative, gamification, and interactive monitoring as an effective strategy in online learning environments.
- The application of artificial intelligence in recommendation systems reinforced through assurance of learning in personalized environments of e-LearningPublication . Bottaro Fresneda, Fernando Cesare; Santos, Arnaldo; Martins, Paulo; Reis, LeonildeLearning 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.
- Applying large language models to software develop-ment: enhancing requirements, design and codePublication . Santos, Gonçalo; Silveira, Clara; Santos, Vitor; Santos, Arnaldo; São Mamede, HenriqueThis paper explores the potential of Large Language Models (LLM) to optimize various stages of the software development lifecycle, including require-ments elicitation, architecture design, diagram creation, and implementation. The study is grounded in a real-world case, where development time and result quality are compared with and without LLM assistance. This research underscores the possibility of applying prompt patterns in LLM to support and enhance software development activities, focusing on a B2C digital commerce platform centered on fashion retail, designated LUNA. The methodology adopted is Design Sci-ence, which follows a practical and iterative approach. Requirements, design sug-gestions, and code samples are analyzed before and after the application of lan-guage models. The results indicate substantial advantages in the development process, such as improved task efficiency, faster identification of requirement gaps, and enhanced code readability. Nevertheless, challenges were observed in interpreting complex business logic. Future work should explore the integration of LLM with domain-specific ontologies and business rule engines to improve contextual accuracy in code and model generation. Additionally, refining prompt engineering strategies and combining LLM with interactive development envi-ronments could further enhance code quality, traceability, and explainability.
- Applying large language models to software development: enhancing requirements, design and codePublication . Santos, Gonçalo; Silveira, Clara; Santos, Vitor; Santos, Arnaldo; São Mamede, Henrique
- Aprendizagem ao Longo da Vida: a chave para o futuroPublication . Santos, Arnaldo
- A bot spooler architecture to integrate virtual worlds with e-learning management systems for corporate trainingPublication . Morgado, Leonel; Paredes, Hugo; Fonseca, Benjamim; Martins, Paulo; Almeida, Álvaro; Vilela, Andreas; Peixinho, Filipe; Santos, ArnaldoJoining efforts of academic and corporate teams, we developed an integration architecture - MULTIS - that enables corporate e-learning managers to use a Learning Management System (LMS) for management of educational activities in virtual worlds. This architecture was then implemented for the Formare LMS. In this paper we present this architecture and concretizations of its implementation for the Second Life Grid/OpenSimulator virtual world platforms. Current systems are focused on activities managed by individual trainers, rather than groups of trainers and large numbers of trainees: they focus on providing the LMS with information about educational activities taking place in a virtual world and/or being able to access within the virtual world some of the information stored in the LMS, and disregard the streamlining of activity setup and data collection in multi-trainer contexts, among other administrative issues. This architecture aims to overcome the limitations of existing systems for organizational management of corporate e-learning activities.
- Business process automation in SMEsPublication . Moreira, Silvia; São Mamede, Henrique; Santos, ArnaldoBusiness Process Automation has been gaining increasing im- portance in the management of companies and organizations since it reduces the time needed to carry out routine tasks, freeing employees for other more crea- tive and exciting things. The use of process automation seems to be a growing trend in the business's operational restructuring, combined with digital trans- formation. It can be applied in the most varied business areas. Organizations from any sector of activity can also adopt it. Given these benefits, the granted success in transforming business processes would be expected. However, 30 to 50% of automation initiatives with Robotic Process Automation technology fail. In this work, a set of guidelines will be proposed that will constitute, after validation, a framework capable of guiding organizations, with a focus on SMEs, in the procedure of automating their processes, thus obtaining the maxi- mum return of this transformation.
- Business process automation in SMEsPublication . Moreira, Silvia Catarina Oliveira; São Mamede, Henrique; Santos, ArnaldoBusiness Process Automation has been gaining increasing im-portance in the management of companies and organizations since it reduces the time needed to carry out routine tasks, freeing employees for other more crea-tive and exciting things. The use of process automation seems to be a growing trend in the business's operational restructuring, combined with digital trans-formation. It can be applied in the most varied business areas. Organizations from any sector of activity can also adopt it. Given these benefits, the granted success in transforming business processes would be expected. However, 30 to 50% of automation initiatives with Robotic Process Automation technology fail. In this work, a set of guidelines will be proposed that will constitute, after validation, a framework capable of guiding organizations, with a focus on SMEs, in the procedure of automating their processes, thus obtaining the maxi-mum return of this transformation.
