The unreasonable effectiveness of autotutor
Abstract
AutoTutor is an educational technology that tutors students by holding a conversation with them. In various studies, AutoTutor has been as effective at helping students learn as human tutors, even though AutoTutor uses relatively shallow artificial intelligence. This chapter explores the behavior of AutoTutor in light of several theories that help explain its unreasonable effectiveness for promoting deep learning. It discusses the ICAP hypothesis, scaffolding, and the testing effect.
Publication Title
Deep Comprehension: Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension
Recommended Citation
Olney, A. (2018). The unreasonable effectiveness of autotutor. Deep Comprehension: Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension, 154-165. https://doi.org/10.4324/9781315109503
