In a growing revolution driven by information technology, computational science is indispensable for solving complex problems in environmental science, engineering and manufacturing, nanotechnology, materials science, chemistry, biology and medicine. Each of these discipline fields has experienced a growing development in the last decade, driven mainly by new techniques for obtaining, processing, modeling and simulating data. In this regard, STEM education must advance in integrating scientific and technological advances, and developing skills to meet the needs of a society undergoing increasing technological changes. Computational science is an excellent opportunity to design learning environments that allow us to address real-world problems from an integrative, interdisciplinary and sustainable approach to STEM education.
In this Research Topic we will mainly focus on learning, teaching, and the opportunities that computational science can provide for STEM education, in skills such as problem-finding and solving, evidence-based reasoning, and principally computational thinking. All these skills are needed in a world that is rapidly changing scientific in this 21st century.
This article collection will especially focus on educational innovations to promote computational science in hands-on and student-centered learning environments in school or undergraduate education. The papers can describe the pedagogic aspect of computational science implementation as well as the model description, computational details used in the educational context and the impacts of the educational initiative on student learning.
We want to invite you to submit Original research articles, Review or Mini-Review articles, Perspective articles as well as Curriculum, Instruction, and Pedagogy articles, related to themes that include (but are not limited to):
• Computational Chemistry Education
• Cheminformatics Education
• Computational Biology Education
• Bioinformatics Education
• Interdisciplinary and integrative approach in STEM education
• Collaborative learning environments in STEM education
• Students’ difficulties in computational science in STEM disciplines.
• Students’ difficulties in interpreted images from scientific visualization.
• Computational science curricula in STEM education.
• Teachers' perspectives on the possibilities and challenges of applying computational sciences in STEM education
In a growing revolution driven by information technology, computational science is indispensable for solving complex problems in environmental science, engineering and manufacturing, nanotechnology, materials science, chemistry, biology and medicine. Each of these discipline fields has experienced a growing development in the last decade, driven mainly by new techniques for obtaining, processing, modeling and simulating data. In this regard, STEM education must advance in integrating scientific and technological advances, and developing skills to meet the needs of a society undergoing increasing technological changes. Computational science is an excellent opportunity to design learning environments that allow us to address real-world problems from an integrative, interdisciplinary and sustainable approach to STEM education.
In this Research Topic we will mainly focus on learning, teaching, and the opportunities that computational science can provide for STEM education, in skills such as problem-finding and solving, evidence-based reasoning, and principally computational thinking. All these skills are needed in a world that is rapidly changing scientific in this 21st century.
This article collection will especially focus on educational innovations to promote computational science in hands-on and student-centered learning environments in school or undergraduate education. The papers can describe the pedagogic aspect of computational science implementation as well as the model description, computational details used in the educational context and the impacts of the educational initiative on student learning.
We want to invite you to submit Original research articles, Review or Mini-Review articles, Perspective articles as well as Curriculum, Instruction, and Pedagogy articles, related to themes that include (but are not limited to):
• Computational Chemistry Education
• Cheminformatics Education
• Computational Biology Education
• Bioinformatics Education
• Interdisciplinary and integrative approach in STEM education
• Collaborative learning environments in STEM education
• Students’ difficulties in computational science in STEM disciplines.
• Students’ difficulties in interpreted images from scientific visualization.
• Computational science curricula in STEM education.
• Teachers' perspectives on the possibilities and challenges of applying computational sciences in STEM education
