Unsupervised characterization of lessons according to temporal patterns of teacher talk via topic modeling-Reference-Cited by-同舟云学术

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Unsupervised characterization of lessons according to temporal patterns of teacher talk via topic modeling

Published:2021-11 Issue: Volume: Page:
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Altamirano Matías,Uribe Pablo,Schlotterbeck Danner,Jiménez Abelino,Araya Roberto,van der Molen Moris Johan,Caballero Daniela

Funder

ANID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference65 articles.

1. When rater reliability is not enough: Teacher observation systems and a case for the generalizability study;Hill;Educational Researcher,2012

2. Automatically measuring question authenticity in real-world classrooms;Kelly;Educational Researcher,2018

3. Enacting the Work of Language Instruction: High-Leverage Teaching Practices;Glisan;ERIC,2017

4. A review of high-leverage teaching practices: Making connections between mathematics and foreign languages;Hlas;Foreign Language Annals,2012

5. Classroom Discourse Analysis: A Tool for Critical Reflection;Rymes,2015

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1. Artificial intelligence in classroom discourse: A systematic review of the past decade;International Journal of Educational Research;2024

2. Analyzing the Alignment between AI Curriculum and AI Textbooks through Text Mining;Applied Sciences;2023-09-05

3. Connecting Classrooms with Online Interclass Tournaments: A Strategy to Imitate, Recombine and Innovate Teaching Practices;Sustainability;2023-05-15

4. Uncovering Discussion Groups on Claims of Election Fraud from Twitter;Lecture Notes in Computer Science;2022

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