Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Diagnostic assessments of student thinking about stochastic processes

View ORCID ProfileMichael W. Klymkowsky, Katja Koehler, View ORCID ProfileMelanie M. Cooper
doi: https://doi.org/10.1101/053991
Michael W. Klymkowsky
1Molecular, Cellular & Developmental Biology, University of Colorado Boulder, Boulder, Colorado 80309-0347 U.S.A.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Michael W. Klymkowsky
Katja Koehler
2Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Melanie M. Cooper
3Chemistry, Michigan State University, East Lansing, Michigan, 48824 U.S.A.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Melanie M. Cooper
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

A number of research studies indicate that students often have difficulties in understanding the presence and/or the implications of stochastic processes within biological systems. While critical to a wide range of phenomena, the presence and implications of stochastic processes are rarely explicitly considered in the course of formal instruction. To help instructors identify gaps in student understanding, we have designed and tested six open source activities covering a range of scenarios, from death rates to noise in gene expression, that can be employed, alone or in combination, as diagnostics to reveal student thinking as a prelude to the presentation of stochastic processes within a course or a curriculum.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted May 20, 2016.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Diagnostic assessments of student thinking about stochastic processes
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Diagnostic assessments of student thinking about stochastic processes
Michael W. Klymkowsky, Katja Koehler, Melanie M. Cooper
bioRxiv 053991; doi: https://doi.org/10.1101/053991
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Diagnostic assessments of student thinking about stochastic processes
Michael W. Klymkowsky, Katja Koehler, Melanie M. Cooper
bioRxiv 053991; doi: https://doi.org/10.1101/053991

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Scientific Communication and Education
Subject Areas
All Articles
  • Animal Behavior and Cognition (4691)
  • Biochemistry (10381)
  • Bioengineering (7697)
  • Bioinformatics (26379)
  • Biophysics (13552)
  • Cancer Biology (10735)
  • Cell Biology (15465)
  • Clinical Trials (138)
  • Developmental Biology (8509)
  • Ecology (12844)
  • Epidemiology (2067)
  • Evolutionary Biology (16890)
  • Genetics (11417)
  • Genomics (15498)
  • Immunology (10641)
  • Microbiology (25259)
  • Molecular Biology (10241)
  • Neuroscience (54606)
  • Paleontology (402)
  • Pathology (1671)
  • Pharmacology and Toxicology (2899)
  • Physiology (4356)
  • Plant Biology (9265)
  • Scientific Communication and Education (1588)
  • Synthetic Biology (2562)
  • Systems Biology (6789)
  • Zoology (1472)