Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills

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Abstract
Cite
Stevens, Ron, et al. “Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills”. Cell Biology Education, vol. 4, no. 1, 2005, pp. 42-57, https://doi.org/10.1187/cbe.04-03-0036.
Stevens, R., Johnson, D. F., & Soller, A. (2005). Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills. Cell Biology Education, 4(1), 42-57. https://doi.org/10.1187/cbe.04-03-0036
Stevens, Ron, David F. Johnson, and Amy Soller. “Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills”. Cell Biology Education 4, no. 1 (2005): 42-57. https://doi.org/10.1187/cbe.04-03-0036.
Stevens R, Johnson DF, Soller A. Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills. Cell Biology Education. 2005;4(1):42-57.
Refrences
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COGNITIVE SKILL ACQUISITION

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  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
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Citations
Title Journal Journal Categories Citations Publication Date
Analyzing Sequence Data with Markov Chain Models in Scientific Experiments SN Computer Science 4 2021
Using Lexical Properties of Handwritten Equations to Estimate the Correctness of Students’ Solutions to Engineering Problems International Journal of Artificial Intelligence in Education
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2019
A DESCRIPTION OF VISUAL LITERACY AMONG THIRD YEAR BIOCHEMISTRY STUDENTS

Journal of Baltic Science Education
  • Education: Theory and practice of education
  • Social Sciences
5 2018
Enabling data mining of handwritten coursework Computers & Graphics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
4 2016
Data science in educational assessment Education and Information Technologies
  • Education: Theory and practice of education
  • Education
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9 2015
Citations Analysis
The category Education: Theory and practice of education 6 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Contextual requirements for constructivist learning and was published in 2004. The most recent citation comes from a 2021 study titled Analyzing Sequence Data with Markov Chain Models in Scientific Experiments. This article reached its peak citation in 2015, with 2 citations. It has been cited in 16 different journals, 12% of which are open access. Among related journals, the SN Computer Science cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year