Collaborative dialogue patterns in naturalistic one‐to‐one tutoring

TLDR

Naturalistic one‑to‑one tutoring outperforms traditional classroom methods, yet its key features remain underexplored. The study examined dialogue patterns in two naturalistic tutoring settings involving unskilled graduate and high‑school tutors. The authors analyzed tutoring protocols for the presence of pedagogical components such as active learning, collaborative problem solving, feedback, and affect. Collaborative problem solving, question answering, and example‑based explanations emerged as the dominant dialogue patterns.

Abstract

Abstract Naturalistic one‐to‐one tutoring is more effective than traditional classroom teaching methods, but there have been few attempts to examine the features of normal tutoring that might explain its advantage. This project explored dialogue patterns in two samples of naturalistic tutoring with normal unskilled tutors (as opposed to expert tutors): graduate students tutoring undergraduates in research methods and high school students tutoring 7th graders in algebra. We analysed the extent to which those tutoring protocols manifested components that have been emphasized in contemporary pedagogical theories and intelligent tutoring systems: active student learning, sophisticated pedagogical strategies, specific examples and cases, collaborative problem solving and question answering, deep explanatory reasoning, convergance toward shared meanings, feedback, error diagnosis and remediation, and affect. The most prominent components consisted of collaborative problem solving, question answering, and explanation in the context of specific examples. We identify frequent dialogue patterns that characterize these collaborative processes.