Learning animal welfare and conservation at the zoo:
Using a mobile application
Abstract
Purpose: The aim of this research is to explore theories of learning animal welfare and
conservation at the zoo using digital media. Hence, theories mainly focusing on
animal welfare and conservation and learning will be discussed in order to suggest a
possible prototype for a mobile app that could be used to teach animal welfare and
conservation at the zoo.
Theory: Connectivism theory and theory of affordance are used for this capstone project.
Method: This capstone project is divided in three parts: A systematic literature review, project
design and project evaluation. The data collection was conducted in the form of zoo
visit observation, documents acquired from Norderns Ark zoo and interviews with
students and teachers.
Results: The result of this project gives an insight on how users interact with a mobile app
without the presence of a zoo guide around. The students were clicking on the
different tabs to get more information about the specific animal.
Using digital media may not be as interactive as face to face communication between
the teacher and pupil. However, carefully designed mobile apps can be efficiently
used to teach animal welfare and conservation at the zoo. Consequently, making the
teaching and learning process collaborative and engaging experience might be
effective to teach animal welfare and conservation at the zoo.
Though there was also a plan to do the prototype test with multiple students, as a
result of the COVID 19 pandemic, finally it is decided to do it with two students
only. Therefore, the results are inconclusive and they are not reliable enough to
improve the proposed mobile app prototype.
Degree
Student essay
Collections
View/ Open
Date
2020-11-17Author
Ayalkibet Zeberga, Fikru
Keywords
Learning
Zoo
Mobile app
Mobile learning at the zoo
learning animal welfare and conservation at the zoo, learning animal welfare and conservation at the zoo using mobile app
Series/Report no.
VT20-2920-010-PDA699
Language
eng
Metadata
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