Pre-service teachers´ interaction with students manifested in speech turns– a case study of interaction and acoustic analyses

In the classroom, teacher-student interaction has a vital role in learning. Interaction is constructed by interpersonal communication consisting of verbal and non-verbal communication. When analysing non-verbal teacher talk in the classroom, gaze, gesture, and posture have been in the focus. Voice, however, has not been studied as vastly as other non-verbal channels although it is an important nonverbal cue to interpret the meaning of verbal utterances. This study investigates pre-service physics teachers´ speech turns with interaction and acoustic analysis. Two pre-service physics teachers were recorded as they were teaching DC electric current tasks to pre-service primary school teachers. Speech turns were categorised by using Flanders´ Interaction Analysis Category System and analysed acoustically. Results showed that the pre-service physics teachers differed in what types of speech turns they used, one (male) teacher used more direct and especially lecturing speech indicating more directive interpersonal profile. The other (female) teacher´s larger use of indirect influence speech turns indicate more tolerant profile. Acoustic analysis supports in some aspect the profiling of teachers´ interaction profiles. This study suggests voice awareness to be added to teacher education.

Authors

Institutions

Publication Details

Journal
Classroom Discourse
Published
2025-08-28
DOI
https://doi.org/10.1080/19463014.2025.2546863
Primary Topic
Hearing Impairment and Communication
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pre-service teachers´ interaction with students manifested in speech turns– a case study of interaction and acoustic analyses

Anna-Leena Kähkönen, Pasi Nieminen, Kati Järvinen, Terhi Mäntylä
Classroom Discourse
Hearing Impairment and Communication
article

Pre-service teachers´ interaction with students manifested in speech turns– a case study of interaction and acoustic analyses

Anna-Leena Kähkönen, Pasi Nieminen, Kati Järvinen, Terhi Mäntylä
article en

Abstract

In the classroom, teacher-student interaction has a vital role in learning. Interaction is constructed by interpersonal communication consisting of verbal and non-verbal communication. When analysing non-verbal teacher talk in the classroom, gaze, gesture, and posture have been in the focus. Voice, however, has not been studied as vastly as other non-verbal channels although it is an important nonverbal cue to interpret the meaning of verbal utterances. This study investigates pre-service physics teachers´ speech turns with interaction and acoustic analysis. Two pre-service physics teachers were recorded as they were teaching DC electric current tasks to pre-service primary school teachers. Speech turns were categorised by using Flanders´ Interaction Analysis Category System and analysed acoustically. Results showed that the pre-service physics teachers differed in what types of speech turns they used, one (male) teacher used more direct and especially lecturing speech indicating more directive interpersonal profile. The other (female) teacher´s larger use of indirect influence speech turns indicate more tolerant profile. Acoustic analysis supports in some aspect the profiling of teachers´ interaction profiles. This study suggests voice awareness to be added to teacher education.

Classroom DiscourseVol. 17(1)
University of Jyväskylä (FI)
Academy of Finland
Openalex Percentile: Top 75%
Hearing Impairment and Communication
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.