Learning with Trees:: A Non-linear E-Textbook Format for Deep Learning

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Abstract

A “deep” approach to education requires considering the non-linear connections between concepts, which is difficult to do with the standard linear textbook format. Guided by the cognitive science literature, we designed a format for a new, non-linear e-textbook format, and implemented a high fidelity prototype. We tested this prototype with end-users, measuring its pedagogical efficacy, usability, and overall likability, in comparison with a linear control. We found no significant differences in learning outcomes between the two conditions, but a significantly greater number of participants preferred the non-linear interface. We suspect that many potential advantages of the non-linear format were negated by our short study. Future work should study the effects of the non-linear interface over a longer period of use.

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Spero, E., Stojmenović, M., Arya, A., & Biddle, R. (2019). Learning with Trees:: A Non-linear E-Textbook Format for Deep Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11590 LNCS, pp. 402–422). Springer Verlag. https://doi.org/10.1007/978-3-030-21814-0_31

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