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Implementing an online module about acoustic biodiversity monitoring in the tropics for use in an undergraduate course

Author(s): Darko Cotoras

Pontificia Universidad Católica de Chile

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Summary:
This implementation plan for an online module organizes activities for understanding physical concepts and biological considerations regarding acoustic monitoring, and provides a Spanish version of the module.

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 03 May 2024 doi:10.25334/CXFD-G211 - cite this

Keywords

  1. Biodiversity
  2. conservation biology
  3. Tropical ecology
  4. acoustic monitoring

Alignments

  1. Resource Type
  2. Courses
  3. Course Level
  4. Bloom's Cognitive Level
  5. Vision and Change Core Competencies
  6. Vision and Change Core Concepts
  7. Four Dimensional Ecology Education (4DEE) Framework
  8. Class Type
  9. Class Size
  10. Audience
  11. Lesson Length
  12. Key Scientific Process Skills
  13. Pedagogical Approaches
  14. Principles of How People Learn
  15. Assessment Type
Contents:
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Description

The main proposed adaptations to the module consist of providing a Spanish translation and splitting the original module into two sections of 70 min each (to be taught on different days) and adding a new activity. The first day is focused on a lecture and the second in practical activities. The implementation plan describes which lectures and activities are to be done in this module. I have added an additional activity related to the formulation of a scientific question and have proposed a methodology to answer it. For the time in between the two sections, there is a homework assignment corresponding to listening to a podcast. On the second day (practical activity), the students will have a short quiz about the previous lecture.

            Overview of Module: This module is an introduction to acoustic biodiversity monitoring. It focuses on the implications of sounds in nature, basic physical concepts to understand it and tools to perform data analysis.

 

Support was provided by: A grant from the United States National Science Foundation (DBI-RCN-UBE 2120141).

 

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