Multimedia Learning
Evaluation of multimodal input for entering mathematical equations on the computer
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Quiet interfaces that help students think
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Scaffolding problem solving with annotated, worked-out examples to promote deep learning
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Adapting handwriting recognition for applications in algebra learning
Proceedings of the international workshop on Educational multimedia and multimedia education
A lightweight multistroke recognizer for user interface prototypes
Proceedings of Graphics Interface 2010
A paradigm for handwriting-based intelligent tutors
International Journal of Human-Computer Studies
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Building on past results establishing a benefit for using handwriting when entering mathematics on the computer, we hypothesize that handwriting as an input modality may be able to provide significant advantages over typing in the mathematics learning domain. We report the results of a study in which middle and high school students used a software tutor for algebra equation solving with either typing or handwriting as the input modality. We found that handwriting resulted in similar learning gains in much less time than typing. We also found students seem to experience a higher degree of transfer in handwriting than in typing based on performance during training. This implies that students could achieve farther goals in an intelligent tutoring system curriculum when they use handwriting interfaces vs. typing. Both of these results encourage future exploration of the use of handwriting interfaces for mathematic instruction online.