Developing Learning Module for Equalizing the Competence of Students in 1st Piano Minor Course at Jakarta Institute of the Arts

Abstract

Produce a learning module with video was the main aim of this study for equalizing of piano minor 1 subject’s student competence at the music department Jakarta Institute of Arts. This study also to get the empire data of the effective, efficient, interesting and productive. It was the research and development type of research. There were 3 stages which are a pre-development, development and application. The process comprised validation, evaluation, revision and trial, data collection and analysis for achieving the product. The number of the respondent of this survey were 23 which comprised of 4 validators, 3 senior students for a one-to-one test, 6 senior students, and 10 students for sample who followed the piano minor 1 class for improving the product. Analysis of the data using qualitative and quantitative approach. Qualitative data is contained of correction, critic, suggestion and inputs from the subject experts such as the expert of design instructional, piano minor learning, language and media. Quantitative data is hypothesis comparative data between pre-test and posttest. The product of the research is the module learning of piano minor 1 contains 5 subjects, namely: the utilization of piano; body position, and posture when play piano; notation reading; technic of playing the piano; expression of playing the piano. The module is completed by guidelines for student and lecturer. The result of this research showed that a piano minor 1 learning module is suitable for students. The module is effective, efficient, productive and interesting that can equalize the competence of students.

Application of Artificial Intelligence Technology in the Teaching of Complex Situations of Folk Music under the Vision of New Media Art

“…e (L-BFGS) art algorithm functions to perform acceleration which is similar to the optimization of AI technique are used in this paper. is acceleration from each parameter is notified and is evaluated using the following Equation (2). Translate…”

“…Some of China's twenty-two provinces are home to Han people, the country's most prevalent ethnic group. ese three diverse techniques can be used to teach students about the Chinese rural culture [2]. Chinese folk songs are very different musically from Western music, and students will need to know this to have fun singing them.…”

Study on Intelligent Online Piano Teaching System Based on Deep Learning Recurrent Neural Network Model

“…ere is a range of instruments from various manufacturers in the University of Iowa Electronic Music Studio's experimental sample collection has a wide range of instruments from various manufacturers, as well as monophonic parts by a variety of artists. Other sorts of instruments include brass, woodwind, and bow-string instruments that can be plucked, pounded, or otherwise manipulated [19].…”

Piano Performance and Music Automatic Notation Algorithm Teaching System Based on Artificial Intelligence

“…ere are three stages of predevelopment, development, and application. e process includes verification, evaluation, revision, testing, data collection, and analysis to realize the product [2]. Cogliati et al developed a new method of piano transcription time-domain using convolutional sparse coding.…”