Design Guidelines and Empirical Case Study for Scaling Authentic Inquiry-based Science Learning via Open Online Courses and Interactive Biology Cloud Labs

Zahid Hossain, Engin Bumbacher, Alison Brauneis, Monica Diaz, Andy Saltarelli, Paulo Blikstein, Ingmar H. Riedel-Kruse

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

The Next Generation Science Standards (NGSS) and other national frameworks are calling for much more sophisticated approaches to STEM education, centered around the integration of complex experimentation (including real labs, not just simulations), data collection and analysis, modeling, and data-driven argumentation, i.e., students can behave like real scientists. How to implement such complex approaches in scalable ways is an unsolved challenge - both for presential and distance education. Here we report on the iterative design and large-scale deployment of an open online course with a “biology cloud experimentation lab” (using living cells) that engaged remote learners (> 300 students) in the scientific practices of experimentation, modeling and data analysis to investigate the phototaxis of a microorganism. We demonstrate (1) the robustness and scalability of the cloud lab technology (> 2,300 experiments run), (2) the design principles and synergistic integration of multiple UI and learning activities and suitable data formats to facilitate NGSS-aligned science activities, and (3) design features that leverages the natural variability of real biology experiments to instigate authentic inquiry. This platform and course content are now suited for large-scale adaptation in formal K-16 education; and we provide recommendations for inquiry-based science learning in general.

Original languageEnglish (US)
Pages (from-to)478-507
Number of pages30
JournalInternational Journal of Artificial Intelligence in Education
Volume28
Issue number4
DOIs
StatePublished - Sep 1 2018
Externally publishedYes

Keywords

  • Biology
  • Cloud lab
  • Computer uses in education
  • Computer-communication networks
  • Data analysis
  • Distributed systems
  • Education
  • edX
  • Euglena
  • Human Computer Interaction (HCI)
  • Inquiry-based learning
  • Interactive biotechnology
  • Learning analytics
  • Life science
  • Massive Open Online Course (MOOC)
  • Phototaxis
  • Remote experimentation
  • Simulation and modeling
  • User interface
  • User studies

ASJC Scopus subject areas

  • Education
  • Computational Theory and Mathematics

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