Conversational agents: Goals, technologies, vision and challenges

M Allouch, A Azaria, R Azoulay - Sensors, 2021 - mdpi.com
In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …

AutoTutor and family: A review of 17 years of natural language tutoring

BD Nye, AC Graesser, X Hu - … Journal of Artificial Intelligence in Education, 2014 - Springer
AutoTutor is a natural language tutoring system that has produced learning gains across
multiple domains (eg, computer literacy, physics, critical thinking). In this paper, we review …

Instruction based on adaptive learning technologies

V Aleven, EA McLaughlin, RA Glenn… - Handbook of research …, 2016 - taylorfrancis.com
A common intuition is that instruction is most effective if it takes into account (a) that learners
are different, and (b) that they change as they learn. But learners differ in a great many ways …

Help helps, but only so much: Research on help seeking with intelligent tutoring systems

V Aleven, I Roll, BM McLaren, KR Koedinger - International Journal of …, 2016 - Springer
Help seeking is an important process in self-regulated learning (SRL). It may influence
learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at …

The design and impact of the pedagogical agent: A systematic literature review.

ASD Martha, HB Santoso - Journal of educators Online, 2019 - ERIC
A pedagogical agent is an anthropomorphic virtual character used in an online learning
environment to serve instructional purposes. The design of pedagogical agents changes …

[图书][B] Handbook of research on learning and instruction

RE Mayer, PA Alexander - 2011 - api.taylorfrancis.com
How do people learn in subject areas, such as reading, writing, mathematics, science, and
history, and how can we help people learn, using instructional methods such as feedback …

[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 …

Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners' levels of prior knowledge in hypermedia-learning environments …

M Taub, R Azevedo, F Bouchet, B Khosravifar - Computers in Human …, 2014 - Elsevier
Research on self-regulated learning (SRL) in hypermedia-learning environments is a
growing area of interest, and prior knowledge can influence how students interact with these …

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 …

A complex systems approach to analyzing pedagogical agents' scaffolding of self-regulated learning within an intelligent tutoring system

DA Dever, NA Sonnenfeld, MD Wiedbusch… - Metacognition and …, 2023 - Springer
Abstract Self-regulated learning (SRL), learners' monitoring and control of cognitive,
affective, metacognitive, and motivational processes, is essential for learning. However …