Applying student-generated theories about global change and energy demand

Author:

Ahamer Gilbert

Abstract

Purpose – The purpose of this paper is to explore how learning technology could be applied to the development of educational tools for global climate change. The task to be performed in an informed dialogue is to assess the causes and drivers for global climate change and to produce an improved basis of scientific understanding for the implementation of the climate protection targets suggested for each country. By character, this approach integrates the political and the scientific level. Design/methodology/approach – The paper applies learning theories and options for educational technologies to socio-economic, technological, biospheric, political and scientific themes relevant to present climate change. Findings – Drivers, effects and subsequent measures are subject to highly nonlinear effects. Thus, the combination of a (scientific, fact based) “Global Change Data Base” and a (dialogic, communication based) discourse (in the spirit of “Surfing Global Change”) seems best suitable to produce solutions for the seemingly unresolvable issues of climate protection. This combination of approaches is entitled “Tackle the Task of a Transition through Technological Targets (T5)” and allows the application of hypotheses generated by students in a scaffolded setting of discursive learning. Social implications – Suggestions for CO2 abatement measures are currently passing the process of political negotiation in all countries in the world. The different views and patterns of ethical values are harmonised during the T5 learning process and symbolise the required political process of consensus finding among and between different ministries, countries and global interest groups. Originality/value – This approach includes social and natural driving factors such as population, land use, economics, politics, energy systems, the global carbon cycle, biosphere and climate, and thus offers a more comprehensive learning endeavour than many other approaches.

Publisher

Emerald

Subject

Computer Science Applications,Education

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Why Biomass Fuels Are Principally Not Carbon Neutral;Energies;2022-12-19

2. How to Structure Data for Humanitarian Learning;Encyclopedia of Data Science and Machine Learning;2022-10-14

3. Converging International Cooperation Supported by Data Structures;Encyclopedia of Data Science and Machine Learning;2022-10-14

4. Interparadigmatic Perspectives Are Supported by Data Structures;Encyclopedia of Data Science and Machine Learning;2022-10-14

5. Scenarios of Systemic Transitions in Energy and Economy;Foresight and STI Governance;2022-09-20

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