Lessons learned and future directions of metatutor: Leveraging multichannel data to scaffold self-regulated learning with an intelligent tutoring system

R Azevedo, F Bouchet, M Duffy, J Harley… - Frontiers in …, 2022 - frontiersin.org
Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts.
Despite its importance, research shows that not all learners are equally skilled at accurately …

Towards emotionally aware AI smart classroom: Current issues and directions for engineering and education

Y Kim, T Soyata, RF Behnagh - Ieee Access, 2018 - ieeexplore.ieee.org
Future smart classrooms that we envision will significantly enhance learning experience and
seamless communication among students and teachers using real-time sensing and …

[图书][B] International handbook of metacognition and learning technologies

R Azevedo, V Aleven - 2013 - Springer
This is the fi rst international handbook on the topic of metacognition and learning
technologies. We are proud to have been invited by Springer to coedit such an important two …

Using trace data to examine the complex roles of cognitive, metacognitive, and emotional self-regulatory processes during learning with multi-agent systems

R Azevedo, J Harley, G Trevors, M Duffy… - … of metacognition and …, 2013 - Springer
This chapter emphasizes the importance of using multi-channel trace data to examine the
complex roles of cognitive, affective, and metacognitive (CAM) self-regulatory processes …

Metacognitive scaffolds improve self-judgments of accuracy in a medical intelligent tutoring system

R Feyzi-Behnagh, R Azevedo, E Legowski… - Instructional …, 2014 - Springer
In this study, we examined the effect of two metacognitive scaffolds on the accuracy of
confidence judgments made while diagnosing dermatopathology slides in SlideTutor. Thirty …

[PDF][PDF] Dysregulated learning with advanced learning technologies

R Azevedo, R Feyzi-Behnagh - 2010 AAAI Fall Symposium Series, 2010 - cdn.aaai.org
Successful learning with advanced learning technologies is based on the premise that
learners adaptively regulate their cognitive and metacognitive behaviors during learning …

Help seeking and intelligent tutoring systems: Theoretical perspectives and a step towards theoretical integration

V Aleven - International handbook of metacognition and learning …, 2013 - Springer
Help seeking is a strategy highlighted in a number of theories of self-regulated learning
(SRL). We focus on the help-seeking behavior of students during tutored problem solving …

Skill diaries: Improve student learning in an intelligent tutoring system with periodic self-assessment

Y Long, V Aleven - Artificial Intelligence in Education: 16th International …, 2013 - Springer
Abstract According to Self-Regulated Learning theories, self-assessment by students can
facilitate in-depth reflection and help direct effective self-regulated learning. Yet, not much …

Active learners: Redesigning an intelligent tutoring system to support self-regulated learning

Y Long, V Aleven - Scaling up Learning for Sustained Impact: 8th …, 2013 - Springer
Supporting students' self-regulated learning (SRL) is an important topic in the learning
sciences. Two critical processes involved in SRL are self-assessment and study choice …

Developing Pre-Service Teachers' Technological Pedagogical Content Knowledge With E-TPCK

C Angeli, A Christodoulou - Handbook of Research on TPACK in the …, 2019 - igi-global.com
The authors discuss the design of e-TPCK, a self-paced adaptive electronic learning
environment that was integrated in a second-year educational technology course to engage …