Podcasts are a useful educational resource for improving student success, yet traditional methods of podcasting remain inefficient, vulnerable to censorship and deletion, and access-restricted. One approach to addressing these constraints is utilitarian digital pedagogy, which focuses on the use of digital tools to advance education for the greater good. Framed as such, this article outlines the conceptual and theoretical issues underlying how generative artificial intelligence (genAI), Web3, and open access (OA) improve podcasting’s utility relative to the alternatives: manual creation, Web2, and closed access. The article derives practical implications for instructors, institutions, and policymakers, and concludes by looking ahead to the major problems—hallucination, technical complexity, and rights management—to overcome in practice.
This paper mainly discusses how to use the portfolio evaluation method in high school art teaching. According to the train of thought in this paper, first discusses the particularity and universality of high school art teaching evaluation, and find the portfolio evaluation method in high school art teaching than other subjects to adapt, and to combine the excellent mechanism of distributed books, which is the third part of the distributed books of portfolio evaluation method. In the fourth part of this paper, the two cores of Feynman learning method review and leak filling are used in the distributed ledger portfolio evaluation method, so that the evaluation method can be sublimated to a new height, so as to improve students 'innovation ability and promote students' learning in art.
The e-Portfolio evaluation can truthfully assess the education and teaching process. This technique boasts several advantages: diverse evaluation sub-jects, emphasis on process evaluation, support to individualized develop-ment, and integration between teaching and evaluation. This paper applies blockchain to e-Portfolio evaluation, aiming to solve the thorny issues in tra-ditional e-Portfolio evaluation: privacy protection, data sharing, and infor-mation tracing. Firstly, the functional demand of blockchain-based e-Portfolio evaluation system was analyzed for multiple users: student, teacher, visitor, and administrator. Next, modular design was conducted for the sys-tem, the system boundaries and roles were defined, the relationship between roles was clarified, and a use case was provided to illustrate the client for each user. Based on the functional realization logic of the system, a se-quence diagram was plotted for the realization of system functional demand. Finally, seven chaincodes were designed to satisfy the requirements of the evaluation system. The advantages of the system performance were verified through experiments. The research results provide theoretical and practical bases for the application of blockchain in other evaluation tasks of education and teaching.