Self-regulation
JA Greene, ML Bernacki… - Handbook of educational …, 2024 - taylorfrancis.com
One purpose of modern education is to help people develop the agency to set and achieve
their desired goals across contexts and throughout their lifespan. To do this, people must …
their desired goals across contexts and throughout their lifespan. To do this, people must …
How does cognitive load interact with self-regulated learning? A dynamic and integrative model
Although cognitive load (CL) and self-regulated learning (SRL) have been widely
recognized as two determinant factors of students' performance, the integration of these two …
recognized as two determinant factors of students' performance, the integration of these two …
The promise and challenges of generative AI in education
Generative artificial intelligence (GenAI) tools, such as large language models (LLMs),
generate natural language and other types of content to perform a wide range of tasks. This …
generate natural language and other types of content to perform a wide range of tasks. This …
Research on situated motivation and emotion: Progress and open problems
Research on situated motivation and emotion in education has made substantial progress,
as documented in the contributions to this special issue. We discuss how this field can make …
as documented in the contributions to this special issue. We discuss how this field can make …
Intelligent tutoring systems: How computers achieve learning gains that rival human tutors
Intelligent Tutoring System (ITSs) implement many affordances of digital technologies that
were articulated in the National Academy of Sciences, Engineering, and Medicine report …
were articulated in the National Academy of Sciences, Engineering, and Medicine report …
Llm-based student plan generation for adaptive scaffolding in game-based learning environments
The development of large language models offers new possibilities for enhancing adaptive
scaffolding of student learning in game-based learning environments. In this work, we …
scaffolding of student learning in game-based learning environments. In this work, we …
Transfer of metacognitive skills in self-regulated learning: Effects on strategy application and content knowledge acquisition
Metacognitive skills are often considered domain-general, therefore they have the potential
to transfer across domains, subjects, and tasks. However, transfer of metacognitive skills …
to transfer across domains, subjects, and tasks. However, transfer of metacognitive skills …
The affordances of artificial intelligence-based tools for supporting 21st-century skills: A systematic review of empirical research in higher education
Twenty-first-century skills should be integrated into higher education to prepare students for
complex working-life challenges. Artificial intelligence (AI)-powered tools have the potential …
complex working-life challenges. Artificial intelligence (AI)-powered tools have the potential …
Capturing self‐regulated learning processes in virtual reality: Causal sequencing of multimodal data
This study examines the embodied ways in which learners monitor their cognition while
learning about exponential functions in an immersive virtual reality (VR) based game …
learning about exponential functions in an immersive virtual reality (VR) based game …
The End is the Beginning is the End: The closed-loop learning analytics framework
This article provides a comprehensive review of current practices and methodologies within
the field of learning analytics, structured around a dedicated closed-loop framework. This …
the field of learning analytics, structured around a dedicated closed-loop framework. This …