EFG - 08

STEM Teachers' Capacity to Teach Self-Regulated Learning: Effectiveness of Extended Reality

This EFG is led by Roger Azevedo.

ABOUT

Our international team of researchers will develop a unified interdisciplinary research agenda focused on how immersive extended reality (XR) systems such as virtual, augmented, and mixed reality can be used to understand, measure, train, teach, and learn about self-regulation across human and artificial teachers and learners in STEM.

Our EFG project will lead an innovative and risk-taking research agenda addressing 21st century educational challenges and major international issues for preparing the workforce and fostering life-long learning skills. Our proposal facilitates sharing different expertise across multiple countries utilizing the convenience and accessibility of XR. This is critical as the ubiquity of XR for teachers and instructional training are likely to increase underrepresented groups’ participation in STEM fields.

As such, our aims include:

(1) Test and understand teachers’ (with varying levels of expertise) self-regulatory processes and pedagogical interventions (e.g., feedback, scaffolding) by collecting multimodal multichannel data (e.g., physiological sensors, eye trackers) of cognitive, affective, metacognitive, and motivational (CAMM) processes as teachers and students externalize their CAMM SRL knowledge and skills under different instructional contexts in XR- based systems.

(2) Model real-time multimodal multichannel data of instrumented teachers and students during problem solving in XR systems and embed data in the system as training tools for teachers to acquire, internalize, and practice SRL competencies (e.g., accurate metacognitive monitoring, emotion regulation skills, modeling cognitive strategies, foster self-efficacy, etc.) associated with successful teaching and learning.

(3) Enhance team collaborations and productivity across our multiple fields of research by testing the XR collaborative tools and capabilities as we meet, share, discuss, collect, analyze, and synthesize real-time teacher and student multimodal data from (1) and (2).

(4) Develop and share a detailed new research agenda to be presented at EARLI conferences and journals to facilitate new and innovative research and methodological approaches, data visualizations for teacher dashboards, etc.

Team Members

Roger Azevedo

EFG Facilitator

University of Central Florida, USA

Sanna Järvelä

Team Member

University of Oulu, Finland

Tova Michalsky

Team Member

Bar-Ilan University, Israel

Engin Ader

Team Member

Boğaziçi University, Turkey

Alexander Gröschner

Team Member

Friedrich Schiller University of Jena, Germany

Elizabeth Cloude

Team Member

University of Central Florida, USA

Daryn Dever

Team Member

University of Central Florida, USA

Megan Wiedbusch

Team Member

University of Central Florida, USA

Marta Sobocinski

Team Member

University of Oulu, Finland

Ahsen Cini

Team Member

University of Oulu, Finland

Hila Bakrish

Team Member

Bar-Ilan University, Israel

Avigail Choen

Team Member

Bar-Ilan University, Israel

Elisa Calcagni

Team Member

Friedrich Schiller University of Jena, Germany

Mathias Dehne

Team Member

Friedrich Schiller University of Jena, Germany

Nazmi Erdoğan

Team Member

Boğaziçi University, Turkey