Abstract
Predictive reading skills improve comprehension and analytical thinking; however, many students struggle due to passive learning techniques and limited participation. The lack of creative ideas that incorporate real-world applications further hinders their progress. This initiative tackles the need to modify traditional teaching techniques by implementing AI-powered and technology-driven strategies that encourage active involvement and adhere to sustainable educational principles. This project aims to enhance students' ability to predict textual outcomes using contextual clues, utilizing AI-enhanced features of Google Maps and tools like Microsoft Forms to create an engaging and interactive learning environment. The project's centrepiece is a virtual treasure hunt set in Kota Tinggi, in which students use Google Maps' AI-powered features to navigate between physical locations. At each stop, they answer Microsoft Forms-based predictive reading questions. This paperless strategy not only reduces environmental effect, but it also improves digital literacy and familiarises students with AI-powered tools. The scavenger hunt is carefully structured, with contextual textual clues embedded at each level to direct students to the next site while testing their predicting abilities. This innovation guarantees a seamless, environmentally friendly, and immersive learning experience by leveraging AI in navigation and evaluation technology. Gamifying predictive reading skill development, this project encourages active participation, critical thinking, and collaboration. Students bridge the gap between academic knowledge and real-world applications, gaining practical insights while developing essential 21st-century skills such as digital literacy, teamwork, and problem-solving. This project supports sustainability through a paperless approach, leveraging AI and emerging technologies to improve predictive reading and active learning.
Metadata
Item Type: | Book Section |
---|---|
Creators: | Creators Email / ID Num. Ariff @ Fauzi, Akmal UNSPECIFIED Solahuddin, Muhammad UNSPECIFIED Norman, Anis Arianti UNSPECIFIED Tarikh, Tahira Azlin UNSPECIFIED Balkish, Raja UNSPECIFIED |
Subjects: | A General Works > Academies and learned societies (General) |
Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus |
Page Range: | pp. 41-45 |
Keywords: | Predictive reading skills, sustainable education, AI-powered tools |
Date: | 2025 |
URI: | https://ir.uitm.edu.my/id/eprint/119388 |