Amanote Research

Amanote Research

    RegisterSign In

Predicting Student Emotions in Computer-Human Tutoring Dialogues

doi 10.3115/1218955.1219000
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2004

Authors
Diane J. LitmanKate Forbes-Riley
Publisher

Association for Computational Linguistics


Related search

Automated Tutoring Dialogues for Training in Shipboard Damage Control

2001English

Formally-Based Tools and Techniques for Human-Computer Dialogues

Computer Standards and Interfaces
HardwareLawArchitectureSoftware
1988English

Predicting Spoken Disfluencies During Human–computer Interaction

Computer Speech and Language
Theoretical Computer ScienceHuman-Computer InteractionSoftware
1995English

A Method for Automatically Analyzing Intelligent Tutoring System Dialogues With Coh-Metrix

Journal of Learning Analytics
Computer Science ApplicationsEducation
2018English

Peer Tutoring Improves Student Performance in an Advanced Physiology Course.

American Journal of Physiology - Advances in Physiology Education
MedicinePhysiology
1999English

Predicting and Managing Spoken Disfluencies During Human-Computer Interaction

1994English

A Minimal Model for Predicting Visual Search in Human-Computer Interaction

2007English

Student and Tutor Perceptions of Effective Tutoring in Distance Education

Distance Education
E-learningEducation
2009English

A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy