Artificial intelligence (AI) is a hot topic that presents new challenges and opportunities for the improvement of educational processes. The disruptive and transformative force of this new technological development implies the adaptation of educational ecosystems for its use and integration as a didactic and pedagogical resource. From this perspective, a systematic literature review has been conducted to analyze the didactic potential of generative AI tools in the field of promoting artistic creativity in music education. The research results confirm that the incorporation of AI in music education is paving the way for a more personalized, interactive and efficient learning experience. In addition, the analysis suggests nine fundamental fields of IA implementation in music education: virtual and augmented reality (VR; VA); learning personalization, intelligent tutoring systems; composition assistants; improved historical and contextual learning; assessment systems; interactive ear training and music theory systems; tools for music collaboration and performance; and assistive technologies. Furthermore, the challenges presented by the intersection of AI and digital didactics in the field of music education are discussed.

In tonal music, musical tension is strongly associated with musical expression, particularly with expectations and emotions. Most listeners are able to perceive musical tension subjectively, yet musical tension is difficult to be measured objectively, as it is connected with musical parameters such as rhythm, dynamics, melody, harmony, and timbre. Musical tension specifically associated with melodic and harmonic motion is called tonal tension. In this article, we are interested in perceived changes of tonal tension over time for chord progressions, dubbed tonal tension profiles. We propose an objective measure capable of capturing tension profile according to different tonal music parameters, namely, tonal distance, dissonance, voice leading, and hierarchical tension. We performed two experiments to validate the proposed model of tonal tension profile and compared against Lerdahl’s model and MorpheuS across 12 chord progressions. Our results show that the considered four tonal parameters contribute differently to the perception of tonal tension. In our model, their relative importance adopts the following weights, summing to unity: dissonance (0.402), hierarchical tension (0.246), tonal distance (0.202), and voice leading (0.193). The assumption that listeners perceive global changes in tonal tension as prototypical profiles is strongly suggested in our results, which outperform the state-of-the-art models.

El presente trabajo aborda de manera crítica los condicionantes y consideraciones que subyacen a la proyección de las Humanidades Digitales, como disciplina operativa, al ámbito de la praxis educativa. La colonización de este nuevo espacio competencial consolida la tendencia de traslación de las Humanidades Digitales, desde su consideración como aparato metodológico al servicio de la investigación, al entorno de la praxis profesional en diversas áreas de conocimiento. Para abordar esta cuestión se establece una delimitación conceptual que permita caracterizar las Humanidades Digitales en el entorno académico, frente al uso común del concepto TIC en Educación. Desde esta perspectiva se aborda el desarrollo de las nuevas culturas epistémicas en función de los nuevos modos de pensamiento que implican los flujos y canales de recepción del conocimiento en los entornos educativos digitales. También se discute la necesidad de integrarlas en estos ecosistemas de cara a diseñar e implementar herramientas y fuentes de información semánticamente adaptadas a las necesidades propias del entorno. Para ello se consideran los distintos requerimientos curriculares o las perspectivas pedagógicas de cada contexto académico. Finalmente se hace una breve alusión a como todas estas cuestiones confluyen en lo que se ha dado en llamar “didácticas digitales”, entendidas como el conjunto de estrategias que inspiran los nuevos procesos de enseñanza-aprendizaje optimizando las posibilidades pedagógicas que brindan las nuevas tecnologías.

Orally transmitted traditional music constitutes an invaluable intangible legacy for understanding the development of local cultures and observing social dynamics over time. The Co-Poem project aims to make a significant corpus of these musical cultures available to any user in the Mediterranean basin by creating the I-Folk database, which allows access and consultation through semantic technologies and artificial intelligence, to promote knowledge of this cultural reality and perpetuate its intergenerational transmission. The conceptualization of both resources is oriented to the practice of music teaching in primary education. From this point of view, the structure of metadata that musically describes each work and the implementation of access resources to the corpus under study are analyzed from the point of view of the pedagogical function. All these issues are materialized in creation of various educational resources based on the possibilities of the I-Folk database to promote meaningful and interactive learning of musical content (melody, rhythm, dance, etc.) based on the defining characteristics of this type of repertoire. Recent interventions and didactic activities in primary schools show that both the I-Folk database and the associated resources and the search and comparative analysis functionalities between repertoires from different territories constitute a tool highly appreciated by teachers and arouses great interest among students.