Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models

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Cite
Dickes, Amanda Catherine, and Pratim Sengupta. “Learning Natural Selection in 4th Grade With Multi-Agent-Based Computational Models”. Research in Science Education, vol. 43, no. 3, 2012, pp. 921-53, https://doi.org/10.1007/s11165-012-9293-2.
Dickes, A. C., & Sengupta, P. (2012). Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models. Research in Science Education, 43(3), 921-953. https://doi.org/10.1007/s11165-012-9293-2
Dickes, Amanda Catherine, and Pratim Sengupta. “Learning Natural Selection in 4th Grade With Multi-Agent-Based Computational Models”. Research in Science Education 43, no. 3 (2012): 921-53. https://doi.org/10.1007/s11165-012-9293-2.
Dickes AC, Sengupta P. Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models. Research in Science Education. 2012;43(3):921-53.
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Citations
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Thirty years of conceptual change research in biology – A review and meta-analysis of intervention studies Educational Research Review
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3 2023
An agent-based model for cruise ship evacuation considering the presence of smart technologies on board Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
10 2023
Marina Bers, Beyond Coding: How Children Learn Broader Values through Programming Prometheus
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Exploring the impact of modeling in science education: A systematic review

Eurasia Journal of Mathematics, Science and Technology Education 2023
Exploring system dynamics of complex societal issues through socio-scientific models

Frontiers in Education
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Citations Analysis
Category Category Repetition
Education: Theory and practice of education25
Education23
Social Sciences22
Education: Education (General)6
Technology: Mechanical engineering and machinery: Renewable energy sources3
Geography. Anthropology. Recreation: Environmental sciences3
Technology: Environmental technology. Sanitary engineering3
Science: Biology (General): Ecology3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics3
Technology: Technology (General): Industrial engineering. Management engineering: Information technology3
Science: Mathematics2
Technology: Electrical engineering. Electronics. Nuclear engineering2
Science: Science (General): Cybernetics: Information theory2
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Technology: Manufactures: Production management. Operations management2
Technology: Engineering (General). Civil engineering (General)2
Technology: Engineering (General). Civil engineering (General): Systems engineering2
Technology: Technology (General)2
Social Sciences: Sociology (General)2
Philosophy. Psychology. Religion: Psychology2
Science: Physics1
Technology: Mechanical engineering and machinery1
Philosophy. Psychology. Religion: Philosophy (General)1
Technology: Technology (General): Industrial engineering. Management engineering1
Science: Science (General)1
Education: Special aspects of education1
Social Sciences: Industries. Land use. Labor: Management. Industrial management: Technological innovations. Automation1
The category Education: Theory and practice of education 25 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework and was published in 2013. The most recent citation comes from a 2023 study titled Marina Bers, Beyond Coding: How Children Learn Broader Values through Programming. This article reached its peak citation in 2020, with 8 citations. It has been cited in 28 different journals, 35% of which are open access. Among related journals, the Journal of Science Education and Technology cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year