Informática e Sistemas de Informação | Capítulos/artigos em livros internacionais / Book chapters/papers in international books
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- 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.
- Maximising attendance in higher education: how AI and gamification strategies can boost student engagement and participationPublication . Limonova, Viktoriya; Santos, Arnaldo; São Mamede, Henrique; Filipe, Vítor Manuel de JesusThe 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.