A perspective on the synergistic potential of artificial intelligence and product-based learning strategies in biobased materials education

IF 3.5 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES Education for Chemical Engineers Pub Date : 2023-07-01 DOI:10.1016/j.ece.2023.05.005
Ronald Marquez , Nelson Barrios , Ramon E. Vera , Maria E. Mendez , Laura Tolosa , Franklin Zambrano , Yali Li
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引用次数: 3

Abstract

The integration of product-based learning strategies in Materials in Chemical Engineering education is crucial for students to gain the skills and competencies required to thrive in the emerging circular bioeconomy. Traditional materials engineering education has often relied on a transmission teaching approach, in which students are expected to passively receive information from instructors. However, this approach has shown to be inadequate under the current circumstances, in which information is readily available and innovative tools such as artificial intelligence and virtual reality environments are becoming widespread (e.g., metaverse). Instead, we consider that a critical goal of education should be to develop aptitudes and abilities that enable students to generate solutions and products that address societal demands. In this work, we propose innovative strategies, such as product-based learning methods and GPT (Generative Pre-trained Transformer) artificial intelligence text generation models, to modify the focus of a Materials in Chemical Engineering course from non-sustainable materials to sustainable ones, aiming to address the critical challenges of our society. This approach aims to achieve two objectives: first to enable students to actively engage with raw materials and solve real-world challenges, and second, to foster creativity and entrepreneurship skills by providing them with the necessary tools to conduct brainstorming sessions and develop procedures following scientific methods. The incorporation of circular bioeconomy concepts, such as renewable resources, waste reduction, and resource efficiency into the curriculum provides a framework for students to understand the environmental, social, and economic implications in Chemical Engineering. It also allows them to make informed decisions within the circular bioeconomy framework, benefiting society by promoting the development and adoption of sustainable technologies and practices.

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人工智能与基于产品的学习策略在生物材料教育中的协同潜力展望
在化学工程材料教育中整合基于产品的学习策略对于学生获得在新兴的循环生物经济中茁壮成长所需的技能和能力至关重要。传统的材料工程教育往往依赖于一种传递式教学方法,学生被动地从教师那里接受信息。然而,在当前的情况下,这种方法已被证明是不够的,在这种情况下,信息随时可用,人工智能和虚拟现实环境等创新工具正变得越来越普遍(例如,虚拟世界)。相反,我们认为教育的一个关键目标应该是培养学生的天赋和能力,使他们能够提出满足社会需求的解决方案和产品。在这项工作中,我们提出了创新的策略,如基于产品的学习方法和GPT(生成预训练变压器)人工智能文本生成模型,以改变化学工程材料课程的重点,从不可持续的材料到可持续的材料,旨在解决我们社会的关键挑战。这种方法旨在实现两个目标:第一,使学生积极参与原材料并解决现实世界的挑战;第二,通过为他们提供进行头脑风暴会议和遵循科学方法开发程序的必要工具,培养他们的创造力和创业技能。将循环生物经济概念,如可再生资源、减少废物和资源效率纳入课程,为学生理解化学工程对环境、社会和经济的影响提供了一个框架。它还使它们能够在循环生物经济框架内做出明智的决定,通过促进可持续技术和实践的开发和采用,造福社会。
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来源期刊
CiteScore
8.80
自引率
17.90%
发文量
30
审稿时长
31 days
期刊介绍: Education for Chemical Engineers was launched in 2006 with a remit to publisheducation research papers, resource reviews and teaching and learning notes. ECE is targeted at chemical engineering academics and educators, discussing the ongoingchanges and development in chemical engineering education. This international title publishes papers from around the world, creating a global network of chemical engineering academics. Papers demonstrating how educational research results can be applied to chemical engineering education are particularly welcome, as are the accounts of research work that brings new perspectives to established principles, highlighting unsolved problems or indicating direction for future research relevant to chemical engineering education. Core topic areas: -Assessment- Accreditation- Curriculum development and transformation- Design- Diversity- Distance education-- E-learning Entrepreneurship programs- Industry-academic linkages- Benchmarking- Lifelong learning- Multidisciplinary programs- Outreach from kindergarten to high school programs- Student recruitment and retention and transition programs- New technology- Problem-based learning- Social responsibility and professionalism- Teamwork- Web-based learning
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