Experential Learning Approach For Training Pre-Service Teachers In Environmental Science Using Mobile Apps

Abstract:

In the context of complex environmental problems facing societies, environmental education is becoming an integral part of curriculum all levels of education, including teacher education. Traditional teaching methodology is often criticized for being reductionist and empirical and thus not optimal for training next generation of students who are expected to formulate solutions to complex, interdisciplinary environmental issues. This study will report on the use of mobile application, based on the Open Data Kit (ODK), along with the Google Earth Engine (GEE) to implement a better approach, namely experiential learning, for teacher education in Kerala, India. The specific topic considered is land use and land cover change due to human activity. The experiential learning approach implemented will involve students using Android mobile application to collect a sample of geo-locations for different land cover types. This data will be used to classify satellite imagery within Google Earth Engine and used to understand how their neighborhoods have changed over the years. Rather than being passive information recipients, the students will develop understanding based on their own analysis of how urban regions grow, crop lands shrink and forests disappear.

This study will report on the implementation of experiential learning approach through the use of ODK and GEE, and on the ongoing evaluation of effectiveness of experiential learning approach for environmental education. A Pretest-Posttest study design will be used for evaluation. Change in environmental consciousness, as characterized by a well-designed and validated Environmental Consciousness Scale will be determined for a study group of 300 Pre-service teachers of Kerala, India. The significance between the mean scores of the data collected during pretest and posttest will be analyzed using paired t tests. Qualitative feedback about the Mobile Application through focus group interviews will also collected and analyzed.