Educación viralizada desde la universidad: modelo tecno-pedagógico para trascender los límites del aula en el proceso de aprendizaje

IF 1 Q3 EDUCATION & EDUCATIONAL RESEARCH Research in Education and Learning Innovation Archives-REALIA Pub Date : 2022-01-15 DOI:10.7203/realia.28.20977
Quelic Berga-Carreras, Elena Barberà
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Abstract

University learning is intended to be applied and transferred to other contexts, especially in professional settings. The education-by-competence framework is designed with this in mind. Mechanisms are needed, however, that promote the communication of this knowledge effectively and reliably. This article presents the process for designing, refining and implementing a model based on an instrument inspired by the e-portfolio philosophy. This model provides a robust techno-pedagogical layer intended to facilitate the tutored of knowledge from university disciplines that lead to the creation of a network of teacher-supervised profiles and content. All this output comes from the students of the institutions themselves and their ability to generate active-knowledge networks that break with formal stagnation and teaching linearity by expanding the knowledge acquired in supervised fashion to an open and wider community. The methodology used for this study, conducted between 2015 and 2019, was Design-Based Research. The result is a conceptual tool that can reliably generate an open dialogue between the university and the contexts in which university-developed knowledge is applied. This article describes the constructs developed during the model-refinement process. This model is now being used in generalized fashion in an online university environment.
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来自大学的病毒式教育:在学习过程中超越课堂界限的技术教学模式
大学学习旨在应用并转移到其他环境中,尤其是在专业环境中。能力教育框架的设计就是考虑到了这一点。然而,需要有机制来有效和可靠地促进这种知识的传播。本文介绍了受电子投资组合哲学启发,基于仪器设计、完善和实现模型的过程。该模型提供了一个强大的技术教学层,旨在促进对大学学科知识的辅导,从而创建一个由教师监督的档案和内容网络。所有这些产出都来自于各机构的学生本身,以及他们通过将以监督方式获得的知识扩展到一个开放和更广泛的社区来产生活跃的知识网络的能力,这些知识网络打破了形式停滞和教学线性。这项研究于2015年至2019年间进行,采用的方法是基于设计的研究。其结果是一种概念工具,可以可靠地在大学和应用大学发展的知识的环境之间进行公开对话。本文描述了在模型精化过程中开发的构造。这个模型现在被广泛应用于在线大学环境中。
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来源期刊
自引率
16.70%
发文量
15
审稿时长
16 weeks
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