Piano Intelligent Teaching Evaluation with IoT and Multimedia Technology

Abstract

With deepening of the economic development process, the overall spiritual and cultural needs of the people have increased, and quality education has received more and more attention. Piano education is an important part of quality education. Nowadays, piano education has also been able to move forward continuously. As the king of musical instruments, the piano is widely used in music learning. Learning the piano can exercise willpower, develop intelligence, and cultivate sentiment. With development of computer software as well as hardware, Internet of Things technology and multimedia technology provide the material basis and preconditions for intelligent piano teaching. Therefore, how to evaluate the impact of the IoT and multimedia technology on intelligent teaching of piano has become a very important topic. Based on this, this work combines BP network with artificial fish swarm algorithm (AFS) and proposes network model (IAFS-BP) for evaluating the quality of piano intelligent teaching in the context of Internet of Things and multimedia. The specific contents of this work are as follows: (1) Aiming at the shortcomings of AFS, an IAFS with mutation operator, dynamic vision, and step size is proposed. (2) In view of shortcomings for BP network, IAFS is used in BP network. By using the IAFS algorithm in the training of the weights as well as thresholds, the training speed and training accuracy of the network are improved. (3) This work has carried out a comprehensive and systematic experiment to verify effectiveness and feasibility of IAFS-BP applied to quality assessment of piano intelligent teaching in the context of the IoT and multimedia.

Evaluation of Multimedia Teaching Platform for Piano Accompainment Using Logic Pro

“…The Back Propagation Algorithm network uses the improved Artificial Fish Swarm Algorithm (IAFS) to address the drawbacks of the BP network. The Study has conducted a thorough and systematic investigation to confirm the usefulness and viability of IAFS-BP applied to quality evaluation of intelligent piano instruction in the environment of the IoT and multimedia [24]. The case study showed statistically significant improvement in Blended Piano Teaching Model.…”

Analysis of Multimedia Recognition of Piano Playing Music Based on Fuzzy Neural Network

“…Thirdly, learning the Piano helps in the development of a healthy lifestyle and spirituality. Fourth, learning the Piano can help with self-control and psychological awareness [3]. Figure 1 depicts the multimedia music recognition module for the Piano.…”

Intelligent Construction of University Music Education Teaching System Based on Artificial Intelligence Technology

“…Beyond the classroom, AI technology offers opportunities for language immersion through virtual reality (VR) experiences and language exchange platforms, enabling students to practice English in authentic contexts and interact with speakers from around the world [18]. The integration of AI in English language teaching empowers both educators and learners, fostering more efficient, personalized, and immersive learning experiences that ultimately lead to greater language proficiency and fluency [19]. Integrating artificial intelligence (AI) technology into the construction of a university music education teaching system holds immense potential to transform the way music is taught and learned [20].…”