Through online questionnaires, in-depth interviews, self-reflective accounts and Teachers (n = 76) who participated between 20. Included international, vocational teachers (n = 14) and Finnish vocational student Qualitative research methods to answer these questions. Multiple research questions were set to meet these aims, and the case study used This study explores how digital personal learning environments are scaffold andĭetermines authentic and dialogical collaborative knowledge constructions used

The construction of authentic and dialogical collaborative knowledge. Mobile learning and to understand how student teachers refect on and evaluate The specific aims of the research were to identify the challengesĪnd opportunities associated with adopting the DIANA model for blended and The research redesigned the Dialogical Authentic Netlearning Activity (DIANA) Was to identify the type of framework that supports the evaluation of deep learning. Scaffolds the construction of dialogical collaborative knowledge in digitalĮnvironments toward deep learning in vocational teacher education. The main goal of the study was to identify the type of pedagogical model that This paper studies the performance scoring system and gets the model after training, which can replace music teachers and alleviate the shortage of music teachers in the market. Experiments show that the application of Big Data technology and BP neural network to optimize the piano performance scoring system is effective and can score piano music accurately.

This paper puts forward reasonable solutions to the problems existing in piano education at the present stage, which is helpful to cultivate high-quality piano talents. This not only provides a reference for the player to improve the music level but also provides a new idea for the research results and the application of new technology in music teaching. It can effectively evaluate the player’s performance level and accurately score each piece of music. The results show that the model can test whether the piano works fairly. This paper extracts the signal characteristics of playing music, establishes the piano performance scoring model using Big Data and BP neural network technology, and selects famous works to test the effect of the scoring system.

However, the piano scoring system can partially replace teachers’ guidance to piano players. It highlights many educational problems and cannot meet the development requirements of piano education at this stage. At present, there are many chess styles in piano education, but there is a lack of comprehensive, scientific, and guiding teaching mode.

Diana model 1