[HTML][HTML] Temporally-focused analytics of self-regulated learning: A systematic review of literature
We present a systematic literature review of data-driven self-regulated learning (SRL) that
emphasises the methodological importance of temporality and sequence, as opposed to …
emphasises the methodological importance of temporality and sequence, as opposed to …
A review of recent advances in learner and skill modeling in intelligent learning environments
In recent years, learner models have emerged from the research laboratory and research
classrooms into the wider world. Learner models are now embedded in real world …
classrooms into the wider world. Learner models are now embedded in real world …
Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses
Big data in education offers unprecedented opportunities to support learners and advance
research in the learning sciences. Analysis of observed behaviour using computational …
research in the learning sciences. Analysis of observed behaviour using computational …
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 …
[LLIBRE][B] Theoretical foundations of learning environments
S Land, D Jonassen - 2012 - api.taylorfrancis.com
Theoretical Foundations of Learning Environments provides students, faculty, and
instructional designers with a clear, concise introduction to the major pedagogical and …
instructional designers with a clear, concise introduction to the major pedagogical and …
Process mining techniques for analysing patterns and strategies in students' self-regulated learning
Referring to current research on self-regulated learning, we analyse individual regulation in
terms of a set of specific sequences of regulatory activities. Successful students perform …
terms of a set of specific sequences of regulatory activities. Successful students perform …
Intelligent tutoring systems.
AC Graesser, MW Conley, A Olney - 2012 - psycnet.apa.org
Intelligent tutoring systems (ITSs) are computerized learning environments that incorporate
computational models from the cognitive sciences, learning sciences, computational …
computational models from the cognitive sciences, learning sciences, computational …
Conversations with AutoTutor help students learn
AC Graesser - International Journal of Artificial Intelligence in …, 2016 - Springer
AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is
adaptive to the learners' actions, verbal contributions, and in some systems their emotions …
adaptive to the learners' actions, verbal contributions, and in some systems their emotions …
[LLIBRE][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 …
history, and how can we help people learn, using instructional methods such as feedback …
Learner modeling for adaptive scaffolding in a computational thinking-based science learning environment
Learner modeling has been used in computer-based learning environments to model
learners' domain knowledge, cognitive skills, and interests, and customize their experiences …
learners' domain knowledge, cognitive skills, and interests, and customize their experiences …