z-logo
open-access-imgOpen Access
Teaching Introductory Ecology with Problem‐Based Learning
Author(s) -
Burrow Angela K.
Publication year - 2018
Publication title -
the bulletin of the ecological society of america
Language(s) - English
Resource type - Journals
eISSN - 2327-6096
pISSN - 0012-9623
DOI - 10.1002/bes2.1364
Subject(s) - active learning (machine learning) , popularity , class (philosophy) , problem based learning , mathematics education , computer science , cooperative learning , ecology , experiential learning , teaching method , artificial intelligence , psychology , biology , social psychology
The popularity of ecology and historic trends toward larger class sizes have led to an increasing reliance on lecture and content‐driven learning; over‐reliance on these methods is associated with student difficulties in applying knowledge to solve complex environmental problems. Active learning is often cited as a remedy for poor student outcomes. Problem‐based learning, an active‐learning model, emphasizes student‐centered learning through problem‐solving activities driven by the search for problem solutions. This learning model develops critical thinking and problem‐solving skills while simultaneously advancing content knowledge. Problem‐based learning can enhance student knowledge and skill gains in introductory ecology courses; however, this method is rarely implemented in these courses. Adoption of active‐learning models is on the rise; however, instructors unfamiliar with educational theory and active‐learning methods may need support in understanding the efficacy of active learning and selecting a method from the multitude of instructional strategies available. To familiarize ecology instructors with one active‐learning model, problem‐based learning, the theoretical base, and evidence for its efficacy are reviewed. In addition, to assist instructors venturing into problem‐based learning, successful applications are highlighted and selected resources are provided for getting started.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here