Reimagining Science Education: Computational Thinking, Computational Science and Sustainability Education

A special issue of Education Sciences (ISSN 2227-7102).

Deadline for manuscript submissions: closed (10 November 2024) | Viewed by 3947

Special Issue Editors


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Guest Editor
1. Nucleus Computational Thinking and Education for Sustainable Development (NuCES), Center for Research in Education (CIE-UMCE), Universidad Metropolitana de Ciencias de la Educación, Santiago, Chile
2. Physical & Analytical Chemistry Laboratory (PachemLab), Department of Chemistry, Faculty of Basic Science, Universidad Metropolitana de Ciencias de la Educación, Santiago, Chile
Interests: science education; STEM education; computational thinking; cheminformatics education, bioinformatics education; computational science education; visualization in science education; sustainability education in computational science; teacher education; student-centred education

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Guest Editor
1. Nucleus Computational Thinking and Education for Sustainable Development (NuCES), Center for Research in Education (CIE-UMCE), Universidad Metropolitana de Ciencias de la Educación, Santiago, Chile
2. Physical & Analytical Chemistry Laboratory (PachemLab), Department of Chemistry, Faculty of Basic Science, Universidad Metropolitana de Ciencias de la Educación, Santiago, Chile
Interests: science education; climate change education; environmental education; STEM education; computational thinking; computational science education; visualization in science education; sustainability education; teacher education; student-centred education; ICT education

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Guest Editor
The Unit of Chemistry Teacher Education, Department of Chemistry, Faculty of Science, University of Helsinki, 00100 Helsinki, Finland
Interests: science education; STEM education; sustainability education; teacher education; student-centred education; ICT education; non-formal and informal education and co-design
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Special Issue Information

Dear Colleagues,

The COVID-19 pandemic and the climate crisis have highlighted the importance of addressing problems with innovative solutions that integrate computational science and involve cooperation and collaboration at different levels. These new challenges invite us to rethink science education from a better-connected perspective with proven solutions to local and global problems articulated with advances in frontier scientific research. The objective of this Special Issue, "Reimagining Science Education: Computational Thinking, Computational Science and Sustainability Education" is to contribute to understanding how scientific computing can support computational thinking and simultaneously involve students from different educational levels in sustainable development.

This Special Issue will focus on gathering evidence of innovative teaching developments and practices that invite us to reimagine science education to promote sustainability from a cross-disciplinary perspective articulated with computational science. In this sense, it intends to contribute to understanding the challenges and opportunities that scientific computing can provide to science education and STEM education, from primary education to the first years of university education as teachers in service and training.

We want to invite you to submit original research articles, Systematic or Scope 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;
  • Chemoinformatic Education;
  • Computational Biology Education;
  • Bioinformatic Education;
  • Computational Science Education;
  • Green and Sustainable Pharmacy Education;
  • Sustainability Education;
  • Sustainable Chemistry Education in Society;
  • Green Analytical Chemistry Education;
  • Interdisciplinary and integrative approach in Science and STEM education;
  • Collaborative learning environments in Science and STEM;
  • Visualization in Science Education;
  • Computational science curricula in Science and STEM education;
  • Teacher Education.

Prof. Dr. Jorge Rodríguez Becerra
Prof. Dr. Lizethly Cáceres Jensen
Prof. Dr. Maija Aksela
Guest Editors

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Keywords

  • computational chemistry education
  • cheminformatics education
  • computational biology education
  • STEM education
  • scientific visualization
  • modelling and simulations
  • teacher education
  • problem based learning
  • project-based learning

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Published Papers (1 paper)

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Research

20 pages, 714 KiB  
Article
Constructing a Novel E-Learning Course, Educational Computational Chemistry through Instructional Design Approach in the TPASK Framework
by José Hernández-Ramos, Jorge Rodríguez-Becerra, Lizethly Cáceres-Jensen and Maija Aksela
Educ. Sci. 2023, 13(7), 648; https://doi.org/10.3390/educsci13070648 - 26 Jun 2023
Cited by 4 | Viewed by 2662
Abstract
The educational scenario after the COVID-19 confinement presents new challenges for teachers. Technological advances require teachers to be prepared for instruction through technology, and with this, the need for e-learning courses arose to strengthen this knowledge. This article aims to describe an innovative [...] Read more.
The educational scenario after the COVID-19 confinement presents new challenges for teachers. Technological advances require teachers to be prepared for instruction through technology, and with this, the need for e-learning courses arose to strengthen this knowledge. This article aims to describe an innovative e-learning course in Educational Computational Chemistry (ECC) for in-service chemistry teachers through an Instructional Design (ID) that allows the development of the constructs associated with the Technological Pedagogical Science Knowledge (TPASK) framework. From the literature overview, relevant findings were raised concerning ID and its potential technological support. The results indicate that an effective ID must present general elements, such as the organisation and generation of content, progress monitoring, and feedback instances. However, the stages of engagement, flexibility, and positioning are relevant elements. These design elements are linked to emerging technological tools, such as artificial intelligence for generating audiovisual material, interactive content development, and event logs. In addition, positive results are evident from the teachers who participated in the ECC e-learning course, who project the knowledge, computer skills, and learning acquired into their professional work as chemistry teachers. Based on the above, a course design for ECC is proposed with general guidelines that contribute to the continuous training of in-service chemistry teachers. Full article
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