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Intelligent Tutoring Systems
The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor
other
Author(s):
Roger Azevedo
,
Ronald S. Landis
,
Reza Feyzi-Behnagh
,
Melissa Duffy
,
Gregory Trevors
,
Jason M. Harley
,
François Bouchet
,
Jonathan Burlison
,
Michelle Taub
,
Nicole Pacampara
,
Mohamed Yeasin
,
A. K. M. Mahbubur Rahman
,
M. Iftekhar Tanveer
,
Gahangir Hossain
Publication date
(Print):
2012
Publisher:
Springer Berlin Heidelberg
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Teaching and learning evolution
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The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems
KURT VanLEHN
(2011)
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Measuring Cognitive and Metacognitive Regulatory Processes During Hypermedia Learning: Issues and Challenges
AMBER CHAUNCEY
,
AMY M. JOHNSON
,
ROGER AZEVEDO
…
(2010)
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Automated, Unobtrusive, Action-by-Action Assessment of Self-Regulation During Learning With an Intelligent Tutoring System
VINCENT ALEVEN
,
IDO ROLL
,
Bruce M. McLaren
…
(2010)
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Author and book information
Book Chapter
Publication date (Print):
2012
Pages
: 212-221
DOI:
10.1007/978-3-642-30950-2_27
SO-VID:
f735b0d6-e6d4-4156-8efe-efccab2279bc
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Book chapters
pp. 174
Sense Making Alone Doesn’t Do It: Fluency Matters Too! ITS Support for Robust Learning with Multiple Representations
pp. 320
Can Soft Computing Techniques Enhance the Error Diagnosis Accuracy for Intelligent Tutors?
pp. 651
The Effectiveness of a Pedagogical Agent’s Immediate Feedback on Learners’ Metacognitive Judgments during Learning with MetaTutor
pp. 212
The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor
pp. 256
Guru: A Computer Tutor That Models Expert Human Tutors
pp. 389
Modelling and Optimizing the Process of Learning Mathematics
pp. 422
Do Your Eyes Give It Away? Using Eye Tracking Data to Understand Students’ Attitudes towards Open Student Model Representations
pp. 482
An Interactive Teacher’s Dashboard for Monitoring Groups in a Multi-tabletop Learning Environment
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M Price
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The effectiveness of a pedagogical agent's immediate feedback on learners' metacognitive judgments during learning with metatutor
Authors:
Feyzi-Behnagh
Integrating Cognitive, Metacognitive, and Affective Regulatory Processes with MetaTutor
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AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring
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Using Trace Data to Examine the Complex Roles of Cognitive, Metacognitive, and Emotional Self-Regulatory Processes During Learning with Multi-agent Systems
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Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems
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