Search

Due to the digital revolution, online education based on the B2B2C (Business to Business to Consumer) model is growing Understanding students' expectations, concerns, and experiences of these courses are crucial to the successful of education. Based on the research framework of value co-creation and value co-destruction and the theory of social practice, this paper adopts online content analysis to study the comment data of Tencent Classroom to establish a theoretical framework of practical value for students' experience in B2B2C online education. Six categories of value experience are identified, namely, technical effect, online teaching, learning interaction, course support, recommendation, and thanking. Then, based on the practice types of co-creation, co-destruction, co-recovery, and co-reduction, the research reveals value formation in the online teaching experience. Subsequently, the formation of experiential value in the response situation is discussed, and the practice experience of value co-creation and value co-destruction is recognized. This study explores the online education experience of B2B2C mode, which helps to deepen the management of B2B2C mode education. At the same time, this study establishes a thematic framework of value co-creation and co-destruction for online education experience research and provides a new theoretical perspective of management science for related research.

Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in learning processes, particularly for students with differing achievements. This paper explores the use of sequential pattern mining to address the evolution of student action patterns in Massive Private Online Courses (MPOCs) and compare these patterns between different achievement groups. The study was conducted with first-year undergraduate computer science students enrolled in a computer application course at a traditional open university in one of the Chinese provinces (N = 1375). The results showed the development of various action patterns in each phase of the course and the distinct action patterns for high-achieving and low-achieving students. The findings of study provide a new perspective for instructors and students to understand interaction patterns at the fine-grained level, and can help instructional designers develop learner-cantered courses and platforms to improve online learning.

This paper aims to study the features of vocal improvisation using interactive musical technologies. The survey method contributed to determining the level of vocal skills of 214 respondents auditioned before the experiment. The authors developed a training programme based on previously received information. It included breathing, technical, aesthetic, and vocal improvisation skills. The results showed that 93% of the experimental group believed that interactive technologies had advantages in the educational process, and 63% of the control group believed that they had no advantages. The survey of the students allowed identifying elements that required improvement or changes in the curriculum. The students of the experimental group showed that using national Chinese instruments for accompaniment was important for 32% of the respondents, 27% chose the answer "other", which included systematic and more frequent cross-sections of knowledge, the involvement of foreign approaches to learning. The calculation of the level of knowledge obtained showed that 88% of the students demonstrated a high level in the experimental group, a low one was only in 2%. Study prospects relate to studying technical and aesthetic elements to be applied during classical and folk vocal performance.

Individuals can learn the art of playing a musical instrument not only in the classroom but also remotely. The main purpose of the paper is to identify the possibilities of an educational online piano course for Chinese students. In the work, it was determined which of the online applications are the most popular in the world for learning. The results showed that the most common are Udemy (25%), Google Class (22%), and Skillshare (17%), which are used not only for music learning. Based on the data obtained, the work developed an online course for piano training, which included three blocks -- learning theoretical material with the help of the program goodEar Pro; developing technical playing skills with the help of Skillshare and Xiaoyezi AI Piano Tutor; improving the skills obtained by using The One Music Group. Survey data from 104 respondents determined that the Xiaoyezi AI Piano Tutor mobile app (29%) was more effective among the others because it focused on polyphony skills, which allows the combination of technical piano playing skills and thinking. With a digitally enabled learning program, students were able to achieve better results when working on a playing technique (5.3) and polyphony (5.1).