Lessons learned and future directions of metatutor: Leveraging multichannel data to scaffold self-regulated learning with an intelligent tutoring system
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 …
Despite its importance, research shows that not all learners are equally skilled at accurately …
[HTML][HTML] Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review
The research objective of this paper is to advance knowledge about the role of artificial
intelligence (AI) in complex problem-solving. A problem is complex due to the large number …
intelligence (AI) in complex problem-solving. A problem is complex due to the large number …
[HTML][HTML] Empowering educators to be AI-ready
In this paper, we present the concept of AI Readiness, along with a framework for
developing AI Readiness training.'AI Readiness' can be framed as a contextualised way of …
developing AI Readiness training.'AI Readiness' can be framed as a contextualised way of …
Defining and measuring engagement and learning in science: Conceptual, theoretical, methodological, and analytical issues
R Azevedo - Educational psychologist, 2015 - Taylor & Francis
Engagement is one of the most widely misused and overgeneralized constructs found in the
educational, learning, instructional, and psychological sciences. The articles in this special …
educational, learning, instructional, and psychological sciences. The articles in this special …
[图书][B] Handbook of self-regulation of learning and performance
DH Schunk, B Zimmerman - 2011 - books.google.com
Self-regulated learning (or self-regulation) refers to the process whereby learners personally
activate and sustain cognitions, affects, and behaviours that are systematically oriented …
activate and sustain cognitions, affects, and behaviours that are systematically oriented …
Process mining for self-regulated learning assessment in e-learning
Content assessment has broadly improved in e-learning scenarios in recent decades.
However, the e-Learning process can give rise to a spatial and temporal gap that poses …
However, the e-Learning process can give rise to a spatial and temporal gap that poses …
Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system
In this study, we examined the influence of achievement goals and scaffolding on self-
regulated learning (SRL) and achievement within MetaTutor, a multi-agent intelligent …
regulated learning (SRL) and achievement within MetaTutor, a multi-agent intelligent …
Analytics of time management strategies in a flipped classroom
This paper aims to explore time management strategies followed by students in a flipped
classroom through the analysis of trace data. Specifically, an exploratory study was …
classroom through the analysis of trace data. Specifically, an exploratory study was …
Innovative pedagogies of the future: An evidence-based selection
There is a widespread notion that educational systems should empower learners with skills
and competences to cope with a constantly changing landscape. Reference is often made to …
and competences to cope with a constantly changing landscape. Reference is often made to …
How do types of interaction and phases of self-regulated learning set a stage for collaborative engagement?
This study investigates how self-regulated learning phases are related to collaborative
engagement in two different collaborative task conditions. It integrates SRL theory and the …
engagement in two different collaborative task conditions. It integrates SRL theory and the …