Speakers
Dr.Shantala Hegde
Ms.Riddhi Doshi Patel
Dr.Pallavi Vedantam
Professor Samuel Quinto,FRSA
Antonella Di Giulio
Conductor Charalampos Makrsi
Dr.Ramya Palacholla , MD MPH
Professor Dr. Vinod Vidwans
WORLD MUSIC CONFERENCE - ABSTRACTS
Professor Dr.Francisco Tigre Moura
ARTIFICIAL INTELLIGENCE AND THE NEW CREATIVE
PARADIGM
The rapid advancement of artificial intelligence (AI) tools capable of generating high-quality content has challenged longstanding paradigms in creative sectors, particularly within the arts. Traditionally, intentionality and creativity have been considered unique to humans and central to the understanding of our species. Creative AI systems now independently generate outputs
indistinguishable from human-made ones, thus, raising questions involving the role of
intentionality in creative tasks. This groundbreaking scenario calls for a need to develop a
new paradigm that views AI as an enabler and partner in creative processes, on par with
human intentionality. It also calls for the recognition of the growing intentionality of
algorithms.
Historically, human intentionality in creative tasks has been seen as a conscious effort to
express genuine aspirations, emotions, and motives. However, with the rise of AI tools, the
expertise required for creative tasks has diminished significantly. AI democratizes the ability
to generate creative outputs, making creative expression accessible to a broader audience.
Thus, AI should be seen as a facilitator for human expression, regardless of individual
creative skill or expertise. This new creative paradigm should then focus on intrinsic motives rather than the process used to express intent. After all, soon most creatives and non-creatives will co-create with AI to augment their creativity.
Moreover, AI generated outputs are often indistinguishable from human created ones,
which poses a challenge in determining the nature of the creative process. Consequently, the trust between creator and receiver becomes even more essential to the determine the value of the output, as the awareness or assurance of the creative process becomes unclear or impossible to determine.
Additionally, one must also consider the intentionality of intelligent systems. AI often carries a form of intentionality, as it is engineered to fulfil specific goals and objectives. As AI tools become more prevalent, the recognition of AI intentionality will become a focal point in
creative industries and impact the acceptance of AI-generated or co-created outputs.
As AI adoption grows, concerns arise about the potential loss of human exclusivity in
creativity, and the forms of adoption of AI tools across different cultures, industries, and
demographics. Consequently, ethical, and legal frameworks, particularly concerning
intellectual property, authorship, and responsibility for creative outputs in human-AI
collaborations, need to be addressed as they grow in complexity and relevance.
Finally, in face of the unprecedented speed of technological change driven by AI, the broad
acceptance of a new paradigms surrounding intentionality in creative processes might occur earlier than expected, due to increasing exposure. We must then explore and adapt to this paradigm shift in various sectors and levels of human involvement with technology,
particularly focusing on intentionality in autonomous systems and artificial co-creation. This is crucial for the understanding of the impact of transformative AI on creative tasks aad the evolving dynamics within society.
Professor Dr. Islah Ali-MacLachlan
In the realm of Irish traditional music (ITM), the wooden flute stands as a prominent melodic instrument, bearing profound cultural significance. The unique charm of ITM emerges through the intricate personal stylization exhibited by musicians. This stylization is a multifaceted expression, drawing from technical prowess, educational background, cultural heritage, and diverse musical influences. Proficiency in mastering the wooden flute becomes evident when a musician can seamlessly infuse a traditional melody with individuality in real-time, accomplished through nuanced ornamentation, dynamic variations, phrasing subtleties, and timbral transformations. In this presentation, we explore the realm of automatic analysis tools designed to unravel the stylistic traits embedded in ITM flute performances. This pursuit necessitates the application of specialized computational techniques capable of discerning critical elements such as note onset, ornamental embellishments, and the identification of specific players. The configuration of these analytical tools is guided by insights collected from ethnomusicological investigations into the art of creating ITM on the wooden flute. The discussion encompasses a comprehensive exploration of the instrument itself, its operational intricacies, historical context, and a broad overview of the chronological evolution of ITM. The integration of computational analysis into the delineation of stylistic variations between musicians aims to offer objective metrics for ethnomusicological research and to provide valuable educational resources for practitioners. To facilitate the development of the proposed systems, two corpora have been established. The first corpus comprises a collection of publicly available recordings, encompassing 18,000 meticulously annotated events, capturing vital data on pitch, timing, and note types. The second dataset is bespoke, and strategically recorded to facilitate controlled comparative studies. This dataset features performances of a number of popular tunes, offered both with and without specified timing constraints, showcasing the virtuosity of six accomplished professional players. These datasets serve as the foundation for a series of evaluations, aimed at gauging the efficacy of the proposed systems. The results of these evaluations are illuminating. The note onset detection system attains an F-measure of 88.5, surpassing the capabilities of existing state-of-the-art systems. The ornament detection system exhibits a mean accuracy of 84% across a diverse range of musical contexts, outperforming conventional generalized systems. Perhaps most notably, the player recognition system showcases an accuracy rate of 90% in identifying individual musicians. These outcomes underscore the intrinsic value of the proposed systems, emphasizing the critical importance of tailoring models to accommodate style-specific training. Furthermore, they reaffirm the necessity for a deep well of historical and musicological domain knowledge, which underpins the pursuit of computational methodologies in the realm of ethnomusicology.
ProfessorNassim Aissa Belbaly
Generative AI is revolutionising the music industry by offering innovative solutions for creating unique compositions, melodies, and harmonies. In the current landscape, a majority of businesses in the music sector, approximately 95%, rely on system integrators that connect with APIs, predominantly utilizing platforms like OpenAI's ChatGPT. However, there is a growing demand for tailored Generative AI solutions specifically designed for the intricacies of the music domain. To address the unique needs of the music industry and provide bespoke solutions, companies should consider transitioning to proprietary, personalized Generative AI models. This approach allows businesses to address specific challenges and mitigate risks. At Empathetic AI, we have developed a robust framework leveraging Recurrent Neural Network (RNN) algorithms, machine learning tools, and automation for the generation of authentic text content. Our focus extends to crafting genuine conversations. As the process of creating text or music follow the same process, we can employ a dual strategy of refining existing compositions and creating entirely new musical pieces. Throughout the development of these customized solutions, we prioritize factors such as data privacy, safety, ethical and copyrights considerations. This ensures that Generative AI applications not only meet the high standards of the music industry but also adhere to ethical guidelines and user expectations.
Dr.Pallavi Vedantam
Music industry is constantly changing the dynamics of creating music in this current day and age with the introduction of programs that can create music and affect culture via different AI platforms. Machine learning algorithms are designed to sift through a huge pile of information/data, analyze existing data and create new information based on the historical data in real time. AI is enabling the music industry with vast tools to use that can revolutionize the music production business. Such ramifications can be felt through altered creativity in cultural music which is deeply traditional and transformative. There is a critical bond between an individual, his existence and relevance to existence validated through cultural music. Music creation using AI can be productive and counterproductive depending on the intended outcome. The process of making music is aesthetic, long, laborious and collaborative. AI can shorten the time it takes to make new musical compositions by screening complex pieces of music compositions, audio recordings, music scores and arrangements in a matter of seconds and efficiently generate new music structured on the patterns learned from existing compositions. Apart from time and efficiency, the styles of music are fluidic with the help of AI as evolving AI algorithms can generate music in various styles which can be trained to generate music in a wide range of styles, like classical, rock, jazz, hip-hop and electronic. Therefore, it can be a versatile tool in music production to create unique musical styles that are not possible with traditional methods. Any technology that provides such efficiency comes with its own set of risk that need to be kept in mind. Primarily it lacks the primary element of emotion and creativity in music and should allow music producers augmenting workflow to ensure creativity. The audience appeal is the central focus of music industry and to make sure that AI generated music is indeed cultural and palatable, at the same time, it is important to keep it culturally relevant. Another challenge AI-generated music faces are issues of legal protection for digital intellectual property and copyright law. Significant measures need to be taken to keep all AI-generated music patented by music producers to receive appropriate compensation and hence, establishing, legalizing and protecting AI-generated music needs to be discussed. Culturally music industry is sophisticated in myriad ways and continues to advance in different dimensions. Personalized music is a hot topic that AI algorithms will allow music producers to use to deliver personalized music for individual listeners tailored to their specific taste. Creative music engagement can be achieved universally with a click of a button. Emphasis now should be on the fact that AI-generated music has all the buzz however, it has long ways to go before it takes flight in the right direction. Conversations with music producers, artists, community, historians and AI tool generators must take place to understand how rapid, unpredictable, advancing, groundbreaking and efficient is AI-generating music as a business model which can be well received by listeners.
Professor Samuel Quinto FRSA
The art of music has captivated human hearts and minds for centuries, with musicians and aspiring artists constantly seeking the most effective methods for honing their craft. One fundamental question that pervades the world of music education and practice is whether there is a "right" way to practice music intelligently. This abstract delves into the multifaceted facets of music practice, aiming to uncover the secrets behind intelligent musical development.
In the quest for musical excellence, it is crucial to recognize that there is no one-size-fits-all approach to practicing music. Music is a highly subjective and personal endeavor, and what works for one musician may not be the best method for another. Nevertheless, certain principles and strategies can guide musicians towards more intelligent and effective practice sessions.
This abstract investigates the various aspects of practicing music intelligently, taking into consideration the following key elements:
1. Goal Setting: Effective music practice begins with setting clear and attainable goals. Musicians must have a precise vision of what they want to achieve in a practice session, whether it's mastering a challenging passage, improving overall technique, or interpreting a piece with emotional depth.
2. Deliberate Practice: Coined by psychologist Anders Ericsson, deliberate practice emphasizes focused and structured training with the intention of continuous improvement. Musicians must identify their weaknesses and work systematically to address them.
3. Mindful Practice: Mindfulness techniques borrowed from meditation and yoga can be valuable in music practice. Being fully present in the moment, concentrating on the sound and sensations, can enhance musicians' connection to their instruments and the music they create.
4. Repetition and Variation: Repetition is an integral part of practicing music. However, combining it with variation can help prevent boredom and facilitate skill development. Musicians can benefit from exploring different interpretations and techniques within a piece.
5. Time Management: Efficient practice sessions require careful time management. Musicians should allocate dedicated periods for warm-up, technical exercises, and repertoire, making the most of their available practice time.
6. Mental Preparation: The mental aspect of practicing is often overlooked. Musicians can develop techniques for managing performance anxiety, enhancing their concentration, and fostering a positive mindset.
7. Self-assessment: Regular self-assessment is crucial for growth. Recording and listening to one's playing, seeking feedback from peers or instructors, and maintaining a practice journal can provide valuable insights.
8. Interdisciplinary Learning: Exploring other art forms, such as dance or visual arts, can provide fresh perspectives and inspiration for musicians, enhancing their creativity and interpretation.
9. Technology and Practice: Modern technology offers a wide range of tools and apps to aid in music practice. From metronomes and tuner apps to interactive sheet music, these can be valuable aids in achieving musical precision.
The question of the "right" way to practice music intelligently remains complex. Ultimately, the most effective approach will depend on the individual, their musical goals, and the specific challenges they face. What is clear, however, is that a combination of these elements can help musicians develop the intelligence and skill necessary to excel in the world of music.
This abstract highlights the intricate and ever-evolving nature of music practice, underlining the significance of continuous exploration and adaptation in the pursuit of musical excellence. The secrets to intelligent music practice lie in the commitment to self-improvement, goal setting, and a willingness to experiment with various strategies to discover what works best for each musician.
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Dr.Lakshmi Balraj
ARTIFICIAL INTELLIGENCE IN MUSIC INDUSTRY
Abstract: AI, in the context of music, refers to the application of computational algorithms to create, analyze, or perform musical compositions. It encompasses systems designed to understand, compose, or interact with music in ways resembling human musical endeavors. AI's integration in music has become a transformative force, reshaping how music is created, produced, and consumed.
Its importance lies in its capacity to enhance creativity, streamline production processes, offer personalized experiences, and preserve musical heritage. The relevance of AI in the music industryhas fundamentally altered the landscape, presenting both opportunities and challenges. My presentation highlights an overview of the role of AI in the music industry, its relevance in Indian Classical Music and how it has carved its innovative applications in music therapy & music learning/education. Apart from presenting the opportunities, there poses certain challenges and ethical considerations too in the applications of AI. It is essential to address these ethical, cultural,
and creative concerns and tap the transformative power of AI to shape the future of music creation and consumption.
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Professor Dr.Vinod Vidwans
Generative Theory of Indian Music (GTIM)
‘Generative Theory of Indian Music’ (GTIM) as the name suggests focuses on articulating
generative nature of Indian music. GTIM is robustly anchored in Indian philosophy. As a
single seed manifests into a majestic tree, GTIM argues that in the same fashion, a single
swara Shadja manifests into the great Banyan tree of Indian music. GTIM validates this
perspective in very systematic and in a step-by-step manner by developing a robust logical
system for Indian music.
GTIM is a synthesis of the ancient wisdom gathered from Naradiya Shiksha, Natyashastra of
Bharata, Matanga Muni’s Brihaddeshi, Sangita Ratnakara of Sharangadeva and the advanced
technology of Artificial Intelligence (AI). GTIM explicitly shows the theoretical consistency
and connectivity among ancient treatises by unfolding the hidden aural logical paradigms
from these treatises and manifesting them through AI. GTIM justifies that the art of music in
India has computational and logical foundations, and it facilitates the aesthetic experience.
The major original contribution of the author in this regard is the envisioning and the
development of an aural axiomatic system for Indian music. GTIM is a broader theoretical
paradigm that comprehensively addresses wide range of issues and challenges of Indian
music.
GTIM provides formal and mathematical representations of most of the fundamental
concepts of Indian music including the concepts such as Swara, Shruti, Saptaka, Raga, Tala,
Bandish and many others. GTIM articulates and presents Indian music as a science. It tries to
unfold and unravel the physics and psychophysics of Indian music with logical foundations.
Classification of Ragas has been an outstanding issue in Indian music. GTIM has taken up
evidence-based computational simulation approach to address the problem of characterization
Raga and classification of Ragas. GTIM has developed ‘Nava Gana’ system of Raga
classification that addresses most of the outstanding issues.
Similarly, theorizing Indian Talas was another outstanding problem because currently many
diverse systems of Tala are prevalent in India. GTIM has developed the paradigm of ‘Nava
Gana’ Talas that finds a golden mean of all the prevalent Tala practices of Carnatic music,
currently popular North Indian Talas as well as the ancient Talas. Nava Gana Talas is a
unified theory of Indian Talas.
Apart from formally defining the prevalent theoretical concepts of Indian music, the GTIM
has introduced many new concepts. These concepts include, ‘Nitya swaras’, ‘Hierarchy of
Harmonic Strength of Swaras and Shrutis’, ‘Law of Co-existence of Swaras’, ‘Law of
Emotive Swaras’ and many others. These are completely novel concepts. Author has worked
on these concepts for many years, tested them, validated them through computer simulations
and considers these concepts as paradigms in themselves. GTIM is a non-conventional theory
in the non-conventional domain of research.
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Dr.Shantala Hegde
Near and Far transfer: Impact of Musical Training on Neurocognitive Functions in Children Neural plasticity or brain plasticity is a veritable nature of the brain. Music is considered one of the higher order neurocognitive functional networks. Music is a universal human behaviour and all neurologically intact individuals are considered musical in nature. Sensitivity to musical features and elements is observed from infancy. Scientific investigations on impact of musical training in children has shown both near and far transfer effects in varying degrees. Near transfer effects such as enhanced auditory processing, pitch and rhythm processing and far effects such as positive impact of language functions, executive functions, visuospatial and other neurocognitive functions in turn impacting academic performance have been reported. Sensitive periods also known as critical developmental periods impact the nature and degree of observed structural and functional changes in the brain. Transfer effects is of key interest to cognitive neuroscientists for better understanding of the unique and shared neural substrates between music and non-musical domain. In my lecture, I will dwell upon this topic highlighting the current status of research and discuss some of the future directions.
Diamond Duggal
I'm Diamond Duggal, a music producer, composer, and AI music consultant and in
my presentation, "Harmony and Tension: Navigating the Impact of AI on Musicians," I
explore the transformative journey occurring in the intersection of artificial
intelligence (AI) and music creation. This overview delves into both the advantages
and disadvantages of musicians embracing AI, with a spotlight on the pivotal role of
music producers.
Advantages of AI in music include its role as a catalyst for creative inspiration,
pushing musicians beyond traditional boundaries. It also streamlines music
production, automating tasks and allowing for a more profound exploration of
artistic potential. Additionally, AI democratizes music creation, fostering inclusivity
and enabling individuals with varying levels of musical training to contribute.
Shifting focus to my role as music producer, it is a natural process to integrate AI into
workflows, transforming it into a collaborative partner rather than a disruptor. This
collaboration between human intuition and AI's computational prowess results in a
harmonious blend of artistry and technological finesse. Producers become
conductors, exploring uncharted territories with AI-infused applications and
reshaping the sonic landscape.
Acknowledging challenges, this presentation delves into the potential pitfalls of AI in
music, particularly navigating copyright complexities, preserving attribution, and
safeguarding musicians' livelihoods. Ethical considerations and the legal landscape
surrounding AI in music are major concerns, emphasizing the need for clear
guidelines and fair compensation models.
In conclusion, the presentation envisions a collaborative future where musicians and
AI work in harmony, ensuring innovation aligns with ethical principles. The evolving
landscape of music production, shaped by the delicate balance of human creativity
and AI innovation, fosters boundless creativity and defines the future of AI-infused
music. As we navigate this exploration, the emphasis is on making great music while
embracing AI without compromising the organic influences that musicians bring to
the collaborative creative future. Thank you for joining me on this journey of
exploring harmony and tension in the world of AI and musicians.
Wajdi Abou Diab
How music can be used to enhance intelligence":
The power of music to inspire, uplift, and move us is undeniable. However, there is growing evidence to suggest that music goes beyond mere entertainment and has the potential to enhance intelligence in various domains. In this lecture, we explore how music can impact cognitive intelligence by improving memory, attention, and problem-solving. We delve into the relationship between music and emotional intelligence, discussing how music therapy can facilitate emotional expression and empathy. Additionally, we discuss the role of music in fostering creativity and divergent thinking, as well as its influence on language skills, such as vocabulary, grammar, and pronunciation. Finally, we examine how music can develop social intelligence through teamwork, collaboration, and effective communication. By understanding the multifaceted impact of music on intelligence, we invite attendees to explore and embrace the transformative potential of music in their own lives.
Conductor Charalampos Makris
"Creativity and major achievement for youth orchestra conductors using modern
methods such as artificial intelligence."
During the Covid-19 pandemic and because the restrictions of orchestral rehearsing
and public performance, a new model of music education seems to appear.
Interactive comprehensive products for music education combining audio resources
and other tutorials created new value for music education as well as new models to
interact with performers and the orchestra. Online music practice tools still offer
useful exercises and repertoire allowing educators and students to create a new style
of music classrooms, all designed or developed according to the demands of social
distancing.
Therefore, the digital transformation of music education is not a
contemporary phenomenon. The evolution of computer science and the increasing
search for information have led to the creation of huge databases such as large
thematic digital libraries. This development has led to the online mutation of the
humanitarian studies, where scholars are taking advantage of the direct access and
rapid dissemination of information in relation to the print media and traditional field
research. The immediacy and accessibility of the evidence, as well as the reduction
or lack of researching funds, have focused the interest of scholars to gain new
technical skills after the rise of internet. As internet users increase to huge numbers
globally, information dissemination becomes wider, publications, announcements
and studies are more easily accessed by an incomparably larger number of scholars.
Internet users were more than 2 billion, nearly one-third of the world's population
during the two last decades.
Acting in this globalized environment, the musicological study and research
have been also affected. Studying the process of musical scholarship transformation,
it is not only archives and projects that turned to digital over the past decades as well
as numerous free musical resources that have been available online. Almost all major
libraries turned into digital great amount of out of print and copyright musical
material and manuscripts. Anyone can discover great digital collections, databases
and similarly musical projects consisting nowadays as important resources for both
scholars and professionals by providing resources and editions, undertake digital
restoration of damaged manuscripts and documents as well as publishing high-
quality facsimiles.
These libraries and projects also provide to conductors and performers of low
budget orchestras and choirs free of charge or cost-effective quality repertoire.
Combined with the development of music notation hardware, almost anyone can
download and edit a score. Equally, anyone can upload editing outcome to a
crowdsourcing project, regardless its ethics and scientifically or musicological correct
approach. Into such digital projects a great variety of contributors including
amateurs, cooperate according to their personal interests.
Nowadays that covid-19 restrictions do not exist, what is the next step of
digital transformation? Is artificial intelligence the next step of musical scholarship
and performance? Shall future fairy tales will commence as: ‘once upon a time an
orchestra performed’? Although it is a reality that the explosion of hybrid technology
and the wide use of impressive digital environment helped a lot to create a modern
educational experience as well as to expand learning goals, the need create hi-tech
application to attract youths into music or other traditional activities transformed in
many ways our traditional way of acting as educators and music directors. By
combining efforts and knowledge of musical scholarship and digital humanities, it is
possible to create new value for music education and secure the future of cultural
heritage. Old fashioned music related academic fields are now facing limited interest
and support can revive and flourish by using wisely the innovative models of musical
education, performance, and experience.
Wajdi Abou Diab
The science of sound – what makes music enjoyable
From the mesmerising melody of your favourite song to the thrilling beats of a drum, music holds a captivating power over our emotions and senses. But what exactly makes music so enjoyable? The answer delves into the intriguing world of psychology, where the science of sound unravels the secrets behind our musical pleasure.
The limbic system, which is involved in processing emotions and controlling memory, lights” up when our ears perceive music. The chills you feel when you hear a particularly moving piece of music may be the result of dopamine, a neurotransmitter that triggers sensations of pleasure and well-being.
Emotional Resonance
Music's impact on our emotions is profound. It evokes a range of feelings, from joy to
sadness to anger, having the ability to influence our mood. The harmony, rhythm, and lyrics of a song can trigger memories, feelings, and images, resonating with our personal
experiences. This emotional connection taps into our brain, processing emotions, and
enhancing our feelings of pleasure and happiness. Don’t we all just want to get up and dance when a favourite party song plays?
The Brain’s Response to Rhythm and Harmony
The brain is wired to perceive and appreciate patterns. When we listen to music, our brain
processes rhythm and harmony. The beat or rhythm activates brain areas encouraging
movement or foot-tapping. Simultaneously, our perceptions of pleasant or unpleasant sounds are influenced. The brain seeks predictability and pattern recognition in music, and when it aligns with our expectations, it rewards us with a sense of satisfaction. This is exactly why we
start humming or enjoying familiar music...also dislike the music we have heard before and didn’t like.
Individual Preferences and Personal Experiences
Our musical preferences are highly individualistic, and shaped by our cultural background,
experiences, and personality. The songs that resonate deeply with us often reflect our
personal stories. Positive associations with certain songs or genres amplify our enjoyment, as they connect to moments, people, or feelings in our lives. So
me might like EDM while some of us might enjoy soothing and calming songs.
The Role of Memory
Music and memory are deeply intertwined. Songs trigger vivid recollections, bringing back
specific memories and emotions associated with particular periods or events in our lives. This heightens our emotional response and amplifies the pleasure derived from the music. We all remember dancing to a particular song in our childhood or remember our birthday
celebrations when we hear ‘Happy Birthday To You...’
The Power of Anticipation and Surprise
Music is a blend of the expected and the unexpected and this is what contributes to its
enjoyability. When a musical piece follows expected patterns, it rewards our anticipation like the chorus for example. Simultaneously, surprising elements or unexpected variations
intrigue and excite our brains such as verses or raps, adding layers of interest and delight.
Music undeniably remains a universal language that is beyond cultures and languages.
Understanding the psychology behind our love for music provides a glimpse into the depth of our human experience. This blend of art and science adds to the incredible impact music has on our lives - in our sad moments and especially our happy ones, not to forget concerts and weddings
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Dr.Antonella Di Giulio
This presentation introduces the Cognitive Framework for Intelligent Practice Strategies (CFIPS), a progressive approach for enhancing the learning efficacy and mastery of musical intelligence in music students’ practice routines. CFIPS embodies a synthesis of cognitive science, psychology, schema theory, construction grammar, semiotics, Culturally Sustaining Pedagogies (CSP), and artificial intelligence, presenting itself as a holistic guide for enlightened musical practice. At the core of CFIPS is the unique amalgamation of the individual cognitive 'libraries' available to students and the extensive reservoirs of musical knowledge dispersed across various cultures, resulting in a targeted practice strategy. It intricately weaves cognitive load theory and long-term memory
encoding with foundational principles from schema theory and construction grammar, revealing the complex cognitive structures pivotal for effective music learning.
On the one hand, schema theory provides insights into how we organize and categorize knowledge; our minds form schemas or mental blueprints through continuous interaction with diverse experiences and stimuli (Piaget, 1977). These schemas act as cognitive libraries, assisting in the seamless processing and comprehension of novel information. In alignment with this, Gjerdingen’s (2007) innovative application of construction grammar to schema theory accentuates the dynamic, adaptable cognitive structures
essential for understanding music. It supports the crafting of tailored practice strategies, fostering students' adept engagement with complex musical elements, thereby enhancing their learning experience.
On the other hand, the framework acknowledges and deeply respects the diversity students bring into the learning environment. Incorporating the insights from Good-Perkins’ (2016) work on Culturally Sustaining Pedagogies (CSP), CFIPS ensures the active engagement and utilization of the diverse
cognitive and cultural assets students possess. It thereby creates an enriching, inclusive atmosphere that recognizes, sustains, and celebrates a multitude of musical expressions and identities. The synergy of AI and cognitive science, schema theory, and CSP within CFIPS is vividly manifested through its 'targeted practice' strategy. Here, innovative tools are intricately integrated to provide planning and immediate, personalized feedback during students' practice sessions, allowing for concentrated focus on particularly challenging components of music pieces. This balanced convergence
not only amplifies the efficiency and output of practice sessions but also instills a culture of self- regulated learning and musical autonomy within students (Zimmerman, 2002).
In its essence, CFIPS is presented as a fluid, integrative learning strategy, a meeting point of diverse cognitive and cultural libraries, facilitating an enriched, multi-dimensional learning experience for students. Through the presentation, the audience will traverse the theoretical and practical landscapes of CFIPS, gaining insights into its potential as a transformative tool for fostering musical intelligence and
mastery through intelligent practice strategies.
References:
• Baddeley, A. (2012). Working memory: theories, models, and controversies. Annual Review of
Psychology, 63, 1-29.
• Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving
students’ learning with effective learning techniques: Promising directions from cognitive and
educational psychology. Psychological Science in the Public Interest, 14(1), 4-58.