Learning Analytics Architecture to Scaffold Learning Experience through Technology-based Methods

• Main Authors: Jannicke Madeleine Baalsrud Hauge, Ioana A. Stanescu, Sylvester Arnab, Pablo Moreno Ger, Theodore Lim, Angel Serrano-Laguna, Petros Lameras, Maurice Hendrix, Kristian Kiili, Manuel Ninaus, Sara de Freitas, Alessandro Mazzetti, Anders Dahlbom, Cristiana Degano
• Format: Article
• Language: English
• Published: Serious Games Society 2015-02-01
• Series: International Journal of Serious Games
• Subjects: Serious games; learning analytics; game mechanics; scaffolded learning
• Online Access: http://journal.seriousgamessociety.org/index.php/IJSG/article/view/38

The challenge of delivering personalized learning experiences is often increased by the size of classrooms and online learning communities. Serious Games (SGs) are increasingly recognized for their potential to improve education. However, the issues related to their development and their level of effectiveness can be seriously affected when brought too rapidly into growing online learning communities. Deeper insights into how the students are playing is needed to deliver a comprehensive and intelligent learning framework that facilitates better understanding of learners' knowledge, effective assessment of their progress and continuous evaluation and optimization of the environments in which they learn. This paper discusses current SOTA and aims to explore the potential in the use of games and learning analytics towards scaffolding and supporting teaching and learning experience. The conceptual model (ecosystem and architecture) discussed in this paper aims to highlight the key considerations that may advance the current state of learning analytics, adaptive learning and SGs, by leveraging SGs as an suitable medium for gathering data and performing adaptations.