State of the art of interaction analysis for Metacognitive Support & Diagnosis

Angelique Dimitrakopoulou (1) , Argyroula Petrou (1) , Alejandra Martinez (2) , José Antonio Marcos (2) , Vassilis Kollias (3) , Patrick Jermann (4) , Andreas Harrer (5) , Yannis Dimitriadis (2) , Lars Bollen (5)

1 Department of Sciences of Pre-primary Education and of Educational Design
2 GSIC/EMIC - Group of Intelligent and Cooperative Systems / Education,Media, Informatics and Culture
3 Cognitive Science and Educational Technology Lab
4 CRAFT - Centre de Recherche et d'Appui pour la Formation et ses Technologies
5 Institut für Informatik und interaktive Systeme

The document concerns Computer Based Interaction Analysis that could support technology based learning activities' participants (e.g. students, teachers) or observers (e.g. teachers, researchers). The underlying considerations and analyses focus on interactions that occur via technology based Learning Environments, designed for stand alone use or collaborative use. Special emphasis is given on Interactions Analysis (IA) outputs that could support learning activities' participants in cognitive and metacognitive reflection and thus in selfregulatory operations. The document aims to present the state of the art on Interaction Analysis (highlighting the current state as well as the new trends) in three complementary dimensions: (I) Design of IA tools and involved IA indicators (II) Applied Analysis methods (III) Research questions and related applied methodologies

Keywords: interaction analysis

Domains: Technology for Human Learning

Angelique Dimitrakopoulou, Argyroula Petrou, Alejandra Martinez, José Antonio Marcos, Vassilis Kollias, et al.. State of the art of interaction analysis for Metacognitive Support & Diagnosis. 2006. ⟨hal-00190146⟩