Abstract
Procrastination can harm many aspects of life, including physical, mental, or financial well-being. It is often a consequence of people’s tendency to prefer immediate benefits over long-term rewards (i.e., present bias). Due to its prevalence, we created C\(^{2}\)Tutor, an intelligent tutoring system (ITS) that can potentially reduce procrastination habits by teaching planning strategies. C\(^{2}\)Tutor teaches people how to make decisions aligned with long-term benefits. It will discourage present bias behavior while allowing for differences in user cognitive abilities. Our study found that C\(^{2}\)Tutor encourages far-sighted behavior while reducing maladaptive planning-strategy use.
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Acknowledgements
This work was supported in part by grants from Amii; a Canada CIFAR AI Chair, Amii; Compute Canada; Huawei; Mitacs; and NSERC.
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Muslimani, C., Gul, S., Taylor, M.E., Demmans Epp, C., Wayllace, C. (2023). C\(^{2}\)Tutor: Helping People Learn to Avoid Present Bias During Decision Making. In: Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O.C., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2023. Lecture Notes in Computer Science(), vol 13916. Springer, Cham. https://doi.org/10.1007/978-3-031-36272-9_64
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