Relating Digital Active Methodologies and Inter-, Multi-, and Trans-Disciplinary Perspectives

Author:

Jamil George Leal1ORCID

Affiliation:

1. Informações em Rede Consultoria e Treinamento Ltda, Brazil

Abstract

Active methodologies are proposed to allow, through social students' engagement, a new way to improve educational activities, resulting in a productive and continuous scenario where knowledge is communitarely shared. Answering social demands for a more inclusive education, the market sector, composed of public and private organizations, is enhancing the adoption of active methodologies. As in any action like these, there is a risk of focus loss, aiming more to the technologies applied than to the educational process itself. This chapter proposes a study of multidisciplinarity, interdisciplinarity, and transdisciplinarity paradigms as a source of thinking to support educational planning to adopt active methodologies, offering a robust way to plan their practice. Emerging technologies support, as resources which can favor the introductions of active methodologies are also evaluated, as they also offer a risk for planning when thought as the final objectives of these educational plans, instead of the indisputable social results of education.

Publisher

IGI Global

Reference74 articles.

1. Alteryx: The magic quadrant of data science and machine learning. (2021). https://www.alteryx.com/third-party-content/gartner-magic-quadrant-data-science-machine-learning

2. Multidisciplinarity, Interdisciplinarity, Transdisciplinarity, and the Sciences

3. AndersonL. W.KrathwohlD. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman.

4. Andriotis, N. (2017). Ten Active Learning Methods for Super Engaged Corporate Learners. Accessed at https://www.efrontlearning.com/blog/2017/05/active-learning-methods-engaged-corporate-learners.html

5. Armstrong, P. (2010). Bloom’s Taxonomy. Vanderbilt University Center for Teaching. Retrieved on March, 14th from https://cft.vanderbilt.edu/guides-sub-pages/blooms-taxonomy/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3