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Trae Waggoner

Hometown: Tempe, Arizona | Graduation Date: Fall 2018
Computer Science

App Development for Intelligent Interactive Adaptive Learning Systems: Algebra Made Wonderful 2.0

Mentor: Armando Rodriguez
FURI: Fall 2018

This research project aims to further the development and understanding of effective learning techniques for teaching Algebra through mobile applications that students can easily access. The goal is to achieve this through testing the integration of scientifically proven effective studying practices, like user-regulated testing/defining, connected curriculum, spaced study notification alerts, and augmented reality features. Future work would include further development of these learning techniques and creative additions with virtual reality.

Other Projects

App Development for Intelligent Interactive Adaptive Learning Systems: Algebra Made Wonderful!

Mentor: Armando Rodriguez
FURI: Spring 2018

This research project aims to identify and implement effective learning techniques into mobile applications. Recent breakthroughs in cognitive psychology have shown that typical learning techniques like rereading, underlining/highlighting, and cramming are counterproductive learning practices. Instead, methods like self-testing/explaining, intertwining learning topics, and allowing students time to forget before retesting leads to mastery learning. Integration of these improved studying practices into mobile applications has manifested into user-regulated testing/defining, connected curriculum, and spaced study notification alerts. Mobile applications that effectively teach fundamental curriculum are invaluable tools to underprivileged students. Future applications should implement these learning techniques into their platforms’ core framework.