• Corpus ID: 5905112

A science learning environment using a computational thinking approach

@inproceedings{Basu2012ASL,
  title={A science learning environment using a computational thinking approach},
  author={Satabdi Basu and John S. Kinnebrew and Amanda Catherine Dickes and Amy Voss Farris and Pratim Sengupta and Jaymes Winger and Gautam Biswas},
  booktitle={IEEE International Conference on Consumer Electronics},
  year={2012}
}
Computational Thinking (CT) defines a domain-gener al, analytic approach to problem solving that combines concepts fundamental to computing, with systematic representations for concepts and problem-solving ap proaches in scientific and mathematical domains. We exploit this trade-off between domain-s pecificity and domain-generality to develop CTSiM (Computational Thinking in Simulation a d Modeling), a cross-domain, visual programming and agent-based learning environ ment for middle school… 

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References

SHOWING 1-10 OF 20 REFERENCES

Integrating Computational Thinking with K-12 Science Education - A Theoretical Framework

This paper identifies the synergies between programming and CT on one hand, and scientific expertise on the other, and proposes a set of guidelines for designing learning environments in science that can jointly foster the development of computational thinking with scientific expertise.

An Atom is Known by the Company it Keeps: A Constructionist Learning Environment for Materials Science Using Agent-Based Modeling

Results suggest that by becoming ‘model builders,’ students develop deeper understanding of core concepts in materials science, and learn how to better identify unifying principles and behaviors within the content matter.

A multidisciplinary approach towards computational thinking for science majors

The initial evaluation indicates that the problem-driven approach focused on scientific discovery and computational principles increases the student's interest in computing.

From Agents to Continuous Change via Aesthetics: Learning Mechanics with Visual Agent-based Computational Modeling

A new Logo-based visual programming language—ViMAP—and, a sequence of learning activities involving programming and modeling, designed specifically to support seamless integration between programming and learning kinematics, are presented.

Software-Realized Scaffolding to Facilitate Programming for Science Learning

  • M. Guzdial
  • Computer Science
    Interact. Learn. Environ.
  • 1994
Emile implements software‐realized scaffolding to facilitate student learning of physics by facilitating students building computer‐based models and simulations and an evaluation of Emile's effectiveness is presented.

Software Design as a Learning Environment

In a Logo‐based learning environment in a Boston inner‐city public school, a fourth‐grade class was engaged during one semester in the design and production of educational software to teach fractions, revealing greater mastery of both Logo and fractions as well as acquisition of greater metacognitive skills by the experimental class than by either control class.

Learning kinematics in elementary grades using agent-based computational modeling: a visual programming-based approach

This paper presents ViMAP, a new visual-programming language and modeling platform for learning kinematics, and its underlying design principles, and identifies how the design principles supported the development of these understandings and practices as students engaged in learning activities that integrated modeling, programming and physics.

Multiple representations to support learning of complex ecological processes in simulation environments

This work provides the foundations for designing scaffolded multi-agent, s imulation-based intelligent learning environments with modeling and reasoning tools to help students learn science topics.

Using half-baked microworlds to challenge teacher educators’ knowing

  • C. Kynigos
  • Education
    Int. J. Comput. Math. Learn.
  • 2007
This article illustrates how four teacher educators in training were challenged with respect to their epistemology and perceptions of teaching and learning mathematics through their interactions with

Learning‐goals‐driven design model: Developing curriculum materials that align with national standards and incorporate project‐based pedagogy

A learning-goals-driven design model for developing curriculum materials is presented, which combines national standards and a project-based pedagogical approach, and how these three characteristics help guide curriculum design, identify design issues in curriculum enactments, and guide the development of design solutions.