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- Teaching Analytics: An Intelligent Data-Driven Platform for Enhancing Pedagogical Practices in Higher EducationPublication . Ferreira, Henrique Séneca; Silva, Bruno Miguel Correia da; Alves, Helena Maria BaptistaThe present study provides a comprehensive analysis of the educational system, with a particular focus on higher education, specifically in terms of accessibility and innovation. The main focus is on innovation, as this project — Teaching Analytics — has the primary goal of rebuilding a web application, based on an existing one, which aims to transform the educational ecosystem into a more efficient, automated, and data-driven environment. The development of this system is based on the key insights reached throughout the study and research conducted within the scope of this project. These considerations include minimizing disruption in the teacher–student environment and relationship, ensuring ease of use, restricting and controlling student access, automating traditional tasks, guaranteeing accessibility even in limited technological contexts, and ensuring adaptability to the pedagogical diversity present in the educational environment. These principles are explored in even greater depth in the research component focused on artificial intelligence. This part of the study seeks to analyze concepts and potential implementations of this technology within the developed platform. Due to the fragility of the results and the high dependence on external factors, this research focuses on identifying and examining proofs of concept in order to understand their potential in the educational system, particularly in the domain of data collection and reflection. With a focus on prediction and recommendation, this study may eventually refine and improve the platform’s efficiency by exploring areas such as forecasting future performance of courses, students, and classes, as well as generating recommendations based on the collected data.