模糊评价映射到模型意见:评估技术增强学习环境中的学术质量

IF 3.6 1区数学 Q1 MATHEMATICS, APPLIED

Mathematical Models & Methods in Applied Sciences Pub Date : 2023-01-01 DOI:10.12988/ams.2023.917369

P. Stiefenhofer, Weihan Ding, V. Zhang, Xie Liangxun

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引用次数: 0

摘要

本文的目的是建立一个质量保证模型来衡量科技高等教育课程和课程的学术质量。它评估了一门课程中基于人工智能的主动学习教学法的学术质量，在这门课程中，学生们使用交互式学习文档(ILDs)在数字化学习环境中共同创造自己对计量经济学的理解。ild是在Jupyter笔记本上使用Python编程语言开发的动态交互式文档，旨在促进数据分析，建模和可视化的交互式学习。论文介绍

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy evaluations mappings to model opinions: assessing academic quality in technology enhanced learning environments

The aim of this paper is to develop a quality assurance model to measure academic quality in technology enhanced higher education courses and programmes. It evaluates the academic quality of an artiﬁcial intelligence based active learning pedagogy in a course in which students co-create their own understanding of econometrics in a digitalised learning environment using Interactive Learning Documents (ILDs). ILDs are dynamic interactive documents developed in Jupyter notebook using Python programming language designed to facilitate interactive learning of data analysis, modelling and visualisation. The paper introduces

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来源期刊

Mathematical Models & Methods in Applied Sciences 数学-应用数学

CiteScore

6.30

自引率

17.10%

发文量

审稿时长

1 months

期刊介绍： The purpose of this journal is to provide a medium of exchange for scientists engaged in applied sciences (physics, mathematical physics, natural, and technological sciences) where there exists a non-trivial interplay between mathematics, mathematical modelling of real systems and mathematical and computer methods oriented towards the qualitative and quantitative analysis of real physical systems. The principal areas of interest of this journal are the following: 1.Mathematical modelling of systems in applied sciences; 2.Mathematical methods for the qualitative and quantitative analysis of models of mathematical physics and technological sciences; 3.Numerical and computer treatment of mathematical models or real systems. Special attention will be paid to the analysis of nonlinearities and stochastic aspects. Within the above limitation, scientists in all fields which employ mathematics are encouraged to submit research and review papers to the journal. Both theoretical and applied papers will be considered for publication. High quality, novelty of the content and potential for the applications to modern problems in applied sciences and technology will be the guidelines for the selection of papers to be published in the journal. This journal publishes only articles with original and innovative contents. Book reviews, announcements and tutorial articles will be featured occasionally.