Automatic Evaluation of Piano Performances for STEAM Education

Phanichraksaphong, Varinya; Tsai, Wei-Ho

doi:10.3390/app112411783

Cited by 19 publications

(9 citation statements)

References 31 publications

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“…There are studies showing the importance and positive effects of STEAM education in art education (Liao, 2016;Jeon and Lee, 2014;Guyotte et al, 2015;Andreotti and Frans, 2019;Phanichraksaphong and Tsai, 2021;Morton at al., 2017). Hasanova (2021), drawing attention to the importance of aesthetic education in the full development of young generations, emphasized the invaluable contribution of music education in this direction.…”

Section: Statement Of the Problemmentioning

confidence: 99%

Examination of STEAM-based Digital Learning Applications in Music Education

Özer

Demirbatır

2023

European Journal of STEM Education

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STEAM is an interdisciplinary educational approach. Based on the idea that different disciplines can meet on a common ground, the STEAM approach aims to give students the habit of working together, to provide rich learning experiences and to focus on real-world problems. This study investigates STEAM-based digital learning applications used in music education, their contents and age group suitability. For this purpose, the method of the research is the narrative review study. In this context, we analyzed the Chrome Music Lab, Scratch Music, Groove Pizza, earSketch, UPISketch and iMuSciCA applications. Studies have proved that digital-based STEAM applications used in music education increase students’ creativity, improve their music learning, and increase their interest in the lesson because they offer fun learning. With the development of technology, it has become necessary to adapt the methods and techniques used in music education to the age. By integrating art education, which has an important place in STEAM education, with other disciplines, music lessons can be effective and more permanent. The study shows that the more effective use of related applications by music teachers will contribute to music education and it is important in this regard.

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Section: Statement Of the Problemmentioning

confidence: 99%

Examination of STEAM-based Digital Learning Applications in Music Education

Özer

Demirbatır

2023

European Journal of STEM Education

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“…en, a classification algorithm is used for evaluation. e main structures of the evaluation subnet model are input, bidirectional LSTM, attention mechanism, and output layer [25]. e input layer receives the difference sample repertoire, obtains the input feature matrix through data preprocessing, and then inputs it into the RNN structure.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

Educational Evaluation of Piano Performance by the Deep Learning Neural Network Model

Liao

2022

Mobile Information Systems

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In recent years, the piano education industry has occupied a huge market. However, the automatic evaluation function of piano performance has shortcomings in existing piano education products. Deep learning (DL) algorithm and the recurrent neural network (RNN) structure can help in automatics evaluation function of the piano performance. This paper proposes a Musical Instrument Digital Interface (MIDI) piano evaluation scheme based on the RNN structure and the Spark computing engine using the Deeplearning4J DL framework. The Deeplearning4J framework can run on the Java Virtual Machine; therefore, the entire system does not require cross-platform development. The Spark distributed computing engine realizes parallelization in music data preprocessing, feature extraction, and model training. Combined with the training user interface (UI) provided by the Deeplearning4J, it can improve developmental efficiency. Additionally, the RNN parameters are analyzed. The results demonstrate that the error value of the three-layer RNN structure is smaller than other closest rivals’ techniques. In particular, few piano training institutions and MIDI website datasets are used as the basis, and the experimental samples are collected. The neural network is trained, and the performance of the evaluation model is tested. The results show that the evaluation outcomes of the designed performance evaluation model for the piano are fundamentally consistent with the real levels of the players with assured feasibility; after 3k times of the training periods, the error of the RNN model is close to 0.01 and the network converges.

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“…Researchers have been concentrating on the question of how education and training should be structured to enable individuals to effectively adjust to advancements in specific fields (Karslı Baydere et al, 2019). There's also a belief that contemporary teaching methods should provide benefits that align with present-day requirements (Phanichraksaphong & Tsai, 2021). It is known that course contents designed around a single discipline are not sufficient to increase the quality of education and to provide more permanent learning.…”

Section: Introductionmentioning

confidence: 99%

STEAM based music activity example for gifted students

Özer,

Demirbatır

2023

LUMAT

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In this study, the aim is to present a STEAM-based music activity for gifted students and to determine the students' awareness of the process at the end of the activity. The study group of the research consists of exceptionally gifted students who applied to STEAM Based Music Activities Workshop in the Halil İnalcık Science and Art Center. Accordingly, we determined the study group of the research as 25 5th grade students studying at Bursa Halil İnalcık Science and Art Centre in the 2023–2024 academic year. At the same time, these students also take information technologies course. We carried out the activity of “I design my instrument with Scratch program and Makey Makey” for a total of 8 hours in 4 weeks, i.e., two hours each week. The activity was prepared in line with the 5E learning model. At the end of the research, we applied the Formative Evaluation Form to the students and obtained data about their awareness of the process. We used the content analysis method to analyze the date. In the research, we determined that the students enjoyed the activity, their interest in music increased, music can be used effectively in different fields, coding studies with music are more fun, and they developed self-confidence by liking their work. In line with the data obtained in the research, the conclusion was that the realisation of music lessons with different fields by using today's technologies has positive effects on students.

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Automatic Evaluation of Piano Performances for STEAM Education

Cited by 19 publications

References 31 publications

Examination of STEAM-based Digital Learning Applications in Music Education

Examination of STEAM-based Digital Learning Applications in Music Education

Educational Evaluation of Piano Performance by the Deep Learning Neural Network Model

STEAM based music activity example for gifted students

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