A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data

The purpose of this exploratory case study was to describe an expert teacher’s decision-making system during interactive instruction using teacher self-report information, classroom observation data, and physiological recordings. Timed recordings of instructional interaction variables using an adapt...

Full description

Bibliographic Details
Main Author: Jensen, Deborah Larkey
Other Authors: Stuessy, Carol L.
Format: Others
Language:en_US
Published: Texas A&M University 2005
Subjects:
Online Access:http://hdl.handle.net/1969.1/1468
id ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-1468
record_format oai_dc
spelling ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-14682013-01-08T10:37:36ZA case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series dataJensen, Deborah Larkeydecisionstime seriesphysiologybehavioralThe purpose of this exploratory case study was to describe an expert teacher’s decision-making system during interactive instruction using teacher self-report information, classroom observation data, and physiological recordings. Timed recordings of instructional interaction variables using an adapted Stallings Observation System were combined with simultaneous skin voltage measurements in time series analyses to describe observable and physiological elements of an expert teacher’s decision-making process. The mean and standard deviation of observable decision-action rates on teacher-identified “teaching days” were higher than the rates on “guiding” days. Bivariate time series analysis of decision-action rates and physiological response rates showed a significant positive relationship between the teacher’s decision-action rate and her physiological response rate on one teaching day. The positive relationship between the teacher’s decision-action rate and her physiological response rate was found to be context-dependent and related to the teaching strategy being used. High decision-action rates during direct instruction were associated with high physiological response rates compared to lower decision-action rates and physiological response rates while monitoring independent seatwork during a test. Correlation analysis of physiological response rates with time revealed slight, but statistically significant negative trends for four of the five observation days. Major features of the teacher’s decision-making system included focusing attention on academic instruction with the use of routines for managing students and materials to perform teaching tasks; both proactive and reactive improvisational decisions; and physiological events characteristic of autonomic nervous system activity during instructional sequences of high teacher-student interactivity. Damasio’s Somatic Marker Hypothesis (Damasio, 1999) is offered as an explanation for the generation of specific characteristics of the expert teacher’s instruction, such as the high frequency of decision-actions and automaticity of appropriate decisions.Texas A&M UniversityStuessy, Carol L.2005-02-17T21:02:20Z2005-02-17T21:02:20Z2004-122005-02-17T21:02:20ZBookThesisElectronic Dissertationtext9703461 byteselectronicapplication/pdfborn digitalhttp://hdl.handle.net/1969.1/1468en_US
collection NDLTD
language en_US
format Others
sources NDLTD
topic decisions
time series
physiology
behavioral
spellingShingle decisions
time series
physiology
behavioral
Jensen, Deborah Larkey
A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data
description The purpose of this exploratory case study was to describe an expert teacher’s decision-making system during interactive instruction using teacher self-report information, classroom observation data, and physiological recordings. Timed recordings of instructional interaction variables using an adapted Stallings Observation System were combined with simultaneous skin voltage measurements in time series analyses to describe observable and physiological elements of an expert teacher’s decision-making process. The mean and standard deviation of observable decision-action rates on teacher-identified “teaching days” were higher than the rates on “guiding” days. Bivariate time series analysis of decision-action rates and physiological response rates showed a significant positive relationship between the teacher’s decision-action rate and her physiological response rate on one teaching day. The positive relationship between the teacher’s decision-action rate and her physiological response rate was found to be context-dependent and related to the teaching strategy being used. High decision-action rates during direct instruction were associated with high physiological response rates compared to lower decision-action rates and physiological response rates while monitoring independent seatwork during a test. Correlation analysis of physiological response rates with time revealed slight, but statistically significant negative trends for four of the five observation days. Major features of the teacher’s decision-making system included focusing attention on academic instruction with the use of routines for managing students and materials to perform teaching tasks; both proactive and reactive improvisational decisions; and physiological events characteristic of autonomic nervous system activity during instructional sequences of high teacher-student interactivity. Damasio’s Somatic Marker Hypothesis (Damasio, 1999) is offered as an explanation for the generation of specific characteristics of the expert teacher’s instruction, such as the high frequency of decision-actions and automaticity of appropriate decisions.
author2 Stuessy, Carol L.
author_facet Stuessy, Carol L.
Jensen, Deborah Larkey
author Jensen, Deborah Larkey
author_sort Jensen, Deborah Larkey
title A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data
title_short A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data
title_full A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data
title_fullStr A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data
title_full_unstemmed A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data
title_sort case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data
publisher Texas A&M University
publishDate 2005
url http://hdl.handle.net/1969.1/1468
work_keys_str_mv AT jensendeborahlarkey acasestudyofanexpertmathematicsteachersinteractivedecisionmakingsystemusingphysiologicalandbehavioraltimeseriesdata
AT jensendeborahlarkey casestudyofanexpertmathematicsteachersinteractivedecisionmakingsystemusingphysiologicalandbehavioraltimeseriesdata
_version_ 1716502805910388736