Encyclopedia

Saudade is a cultural concept expressing a profound sense of longing, nostalgia, or melancholy associated with absence, loss, or unattainable experiences. Emerging in medieval Portugal and shaped by historical, social, and literary developments, it has evolved from an individual emotion into a collective cultural construct reflecting the identity, history, and aesthetic sensibilities of Lusophone communities. Drawing on peer-reviewed scholarship and interdisciplinary research in cultural studies, this entry examines how saudade is expressed in the literature, music, and philosophical discourse, and its role in national memory, emigration, and cultural imagination. While sometimes described as untranslatable, its uniqueness reflects deep historical and cultural embedding rather than a linguistic limitation. Saudade, therefore, functions as a multilayered symbolic category, revealing the interplay between emotion, language, and cultural identity in Lusophone contexts.

Cognitive Learning Analytics (CLA) is an interdisciplinary domain that combines cognitive science and learning analytics to interpret and enhance human learning through theoretically grounded data analysis. It integrates learning analytics with models of cognition to support theoretically grounded interpretation of learner data. Learning analytics, since its inception in 2011, has developed as a research field and applied practice, focusing on “the measurement, collection, analysis, and reporting of data about learners and their contexts.” It focuses on understanding and optimizing learning processes and environments by leveraging large-scale, multimodal educational data. Cognitive science, in parallel, provides established theories of human learning, memory, attention, and metacognition. CLA links observable behaviors with theoretically defined cognitive mechanisms. Through the integration of cognitive theories and computational techniques, CLA models how learners process information, make decisions, and construct knowledge in digital learning environments. CLA employs diverse data sources—including clickstream logs, eye tracking, biometric signals, and linguistic traces—to infer learners’ cognitive and affective states. These inferences inform adaptive learning systems, personalized feedback mechanisms, and intelligent tutoring tools that respond dynamically to the learner’s mental workload, engagement, or metacognitive strategies.

There is no consensus among historians when it comes to the importance of Vincenzo Galilei’s role in the history of music and science, especially when it comes to his contribution to the birth of modern experimentalism. Galilei’s written works, even those left in manuscript form, most of which have now been transcribed and published, do not provide a clear picture of his contribution. Moreover, there is a lack of private documents, such as letters, which informally describe his approach, working hypotheses, and doubts. Nevertheless, his writings enable us to conclude two things with certainty: he believed that reason-mediated experimentation was the only reliable source of knowledge, and he engaged in an intense and interesting experimental activity.