Sea Turtle Trails: An Educational Application To Teach Sea Turtle Conservation Awareness

• Main Author: Muhammad Amiruddin, Mohamad Shah
• Format: Final Year Project Report
• Language: English; English
• Published: Universiti Malaysia Sarawak (UNIMAS) 2023
• Subjects: L Education (General); QA Mathematics; QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/44091/1/Muhammad%20Amiruddin%20bin%20Mohamad%20Shah%20%2824pgs%29.pdf; http://ir.unimas.my/id/eprint/44091/2/Muhammad%20Amiruddin%20bin%20Mohamad%20Shah%20%28fulltext%29.pdf; http://ir.unimas.my/id/eprint/44091/
• Institution: Universiti Malaysia Sarawak

The sea turtle is one of the endangered animals in the animal kingdom that suffered from the result of human activities. This is due to the lack of awareness about the value and threats of sea turtle that remain in our society which caused the conservation effort organized to be less effective. The effectiveness of the efforts to teach sea turtle conservation awareness that has been made which utilized digital tools such as website and application has yet to be quantitatively measured. Therefore, a digital educational game has been devised to teach students aged 18 and above about the awareness of sea turtle conservation. Such application, named “Sea Turtle Trails”, teaches the students about sea turtles by simulating their environment in marine life such as their diet and the threats that they encounter whether it is natural predator or man-made threat. The students will play as a sea turtle and try to complete the objectives while trying to survive the dangers in the ocean. The design of this game has been decided by conducting an online survey on adults to investigate their perspective with digital educational game and game-based learning, and their opinions on each features effectiveness to be implemented in the game. The game will be developed using the waterfall model of SDLC methodology. The effectiveness of the game will be measured using pre-test and post-test that incorporates randomized control group grouping method. The data obtained will be statistically analyzed using paired t-test to test the mean difference between two pairs of data