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Enhancing Quantitative Learning with Google Drive Technology in Natural Resource Use

Explore how Google Drive technology improved students' understanding of personal resource use in an instructional innovation project at Boston University. The project focused on using big data, statistical analysis, and modeling to enhance quantitative reasoning in non-major science courses. Discover the impact on student learning outcomes and the potential application of this technology across disciplines.

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Enhancing Quantitative Learning with Google Drive Technology in Natural Resource Use

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  1. Using Google Drive Technology to Enhance Quantitative Learning and Understanding of Personal Natural Resource UseBoston University 2013 Instructional Innovation Conference Peter Busher & Andy Andres Division of Natural Sciences and Mathematics College of General Studies Boston University

  2. Innovation OUTLine • CGS Natural Sciences – Goals and Learning Objectives • Introduction to Google Drive Technology • How this Project Supports the Learning Objectives in the Course • Results – Big Data • How this Technology can be Applied to all Disciplines

  3. The Natural Sciences at theCollege of General Studies: Goals and Learning Objectives • Exciting pedagogical opportunity because our students are non-majors and this is a required course • Learn the process of science through active participation • Develop critical thinking skills • Develop each student’s sense of becoming an active “citizen scientist” • Encourage participation in scientific problems they will encounter in the lifetimes • Further understanding of nature and the role humans play in the world

  4. Major Paradigm of NS 202: Human Ecology • A Course Designed to teach (mostly) non-majors about: • Science of Ecology • Fundamentals of Environmental Science • Human Ecology • Urban Ecology, specifically the ecology in and around the Boston area • Develop skills useful across disciplines

  5. Google drive

  6. Personal resource Use • Enhance Student Learning • Go beyond small groups or individuals (big data v. small data) • Use of models to understand ecological systems • Use statistics and quantitative reasoning

  7. Towards Big Data

  8. Summary • Students used free Google Drive technology to create large datasets • Enhanced student awareness of personal resource use • Enhanced student awareness of average BU student resource use • Enhanced quantitative and analytical skills for students who are non-majors in science • Using technology to enhance learning that is applicable across disciplines

  9. Acknowledgements The Students at the College of General Studies Carol Donovan and Rayhme Cleary of the College of General Studies

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